CHAPTER SIX
Markers of Circulating BreastCancer CellsEunice López-Muñoz*,1, Manuel Méndez-Montes†*Departamento de Genetica Medica, Unidad Medica de Alta Especialidad, Hospital de Gineco Obstetricia,No. 4, Dr. Luis Castelazo Ayala, IMSS, Colonia Tizapan San Angel, Mexico, D.F.†Departamento de Diseno Grafico, UnidadMedica de Alta Especialidad, Hospital de GinecoObstetricia, No. 4,Dr. Luis Castelazo Ayala, IMSS, Colonia Tizapan San Angel, Mexico, D.F.1Corresponding author: e-mail address: [email protected]
Contents
1.
AdvISShttp
Metastasis Cascade
ances in Clinical Chemistry, Volume 61 # 2013 Elsevier Inc.N 0065-2423 All rights reserved.://dx.doi.org/10.1016/B978-0-12-407680-8.00007-5
176
1.1 Local invasion of the ECM 178 1.2 Tumor cell migration 180 1.3 Epithelial–mesenchymal transition 181 1.4 Invadopodia 182 1.5 Intravasation 183 1.6 Circulation 184 1.7 Arrest in distant organs 185 1.8 Extravasation 185 1.9 Colonization 186 1.10 Metastatic dormancy 1862.
Techniques for CTC Detection 187 2.1 Enrichment or isolation methods 188 2.2 CTC identification 1973.
Molecular and Genetic Characterization 200 3.1 IHC 200 3.2 FISH 200 3.3 Multicolor FISH 201 3.4 CGH 201 3.5 Array CGH 202 3.6 Multimarker quantitative real-time RT-PCR 202 3.7 AmpliGrid 202 3.8 RNA in situ hybridization 202 3.9 Microarray 2044.
Markers 205 5. Clinical Utility 2075.1
Early breast cancer 207 5.2 Metastatic breast cancer 2086.
Conclusion 209 References 210175
176 Eunice López-Muñoz and Manuel Méndez-Montes
Abstract
The detection of circulating tumor cells (CTC) aids in diagnosis of disease, prognosis,disease recurrence, and therapeutic response. The molecular aspects of metastasisare reviewed including its relevance in the identification and characterization of puta-tive markers that may be useful in the detection thereof. Also discussed are methods forCTC enrichment using molecular strategies. The clinical application of CTC in the met-astatic disease process is also summarized.
1. METASTASIS CASCADE
Malignant neoplastic cells are capable of metastasis. Metastasis starts as
a small group of cells (usually not identified during routine histopathologic
staging) that spread from the site of primary origin.
Approximately 5% of patients with breast cancer have clinically detect-
able metastases at diagnosis, but 30–40% have occult metastases [1]. The for-
mation of metastatic clones begins early in primary tumor development.
To achieve successful metastasis, a cell group must be able to invade, survive,
and proliferate. This process requires cells to enter into circulation, stop in
the distal vascular bed, extravasate into the interstitium and parenchyma of
distant organs, and proliferate as a secondary colony.
Most cancer cells in the primary tumor have a metastatic phenotype [2].
This finding suggests that tumor cell spread likely occurs early in carcinogen-
esis [3]. Furthermore, it has been proposed that the same genes that cause the
primary tumor are involved in metastasis [2].
There are two scenarios of cancer progression. In the linear progression
model, neoplastic cells acquire a number of genetic, epigenetic, and mor-
phologic alterations. These changes allow migration across the basement
membrane (BM) and the extracellular matrix (ECM). Cells then enter
and travel via the circulatory or lymphatic system to a new site. In the parallel
progression model, tumor cell dissemination occurs at early disease stages,
that is, years before the diagnosis of a primary tumor, with tumor cell clones
adapted to the new microenvironment [4–10] (Fig. 6.1).
In traditional metastasis, progression is considered unidirectional in
which disseminated tumor cells (DTC) and circulating tumor cells
(CTC) are potentially initiating. They are derived from a small population
of primary tumor cells and increase their numbers at later stages of
progression [10].
Figure 6.1 Cancer progression. (A) Linear progression model, unidirectional. (B) Parallelprogression model, multidirectional.
177Circulating Markers of Breast Cancer
However, there is evidence that CTC can not only migrate multi-
directionally and seed in regional and distant sites of the body, but also return
to the original site of the primary tumor, a process called “tumor self-
seeding” [11,12]. In this process, more aggressive cell populations are likely
selected due to their ability to survive in the circulation. Attraction signals
result in reinfiltration of the primary tumor mass with relative ease due to a
leaky neovasculature. No additional adjustment to the receptor microenvi-
ronment is required [12].
Factors that determine the dissemination of tumor cells in the lymphatic
or hematogenous systems are not precisely known, nor is it clear whether
they are independent of each other. Recently, Hartkopf et al. [13] showed
that the spread of tumor cells by the hematogenous route was independent of
lymphatic dissemination. Phenotypic differences permitted discrimination
of cells with high and low metastatic potential and determined the preferred
direction of dissemination. The decision to intravasate lymphatic or blood
vessels may depend on physical limitations of the primary tumor. Lymph
vessels, unlike blood vessels, have a discontinuous basal membrane and lack
tight interendothelial junctions as well as surrounding pericytes/smooth
Figure 6.2 Tumor cell dissemination. (A) Lymphatic pathway permits detection of DTC.(B) Hematogenous pathway permits detection of CTC.
178 Eunice López-Muñoz and Manuel Méndez-Montes
muscle cells. As such, access to these vessels influences the route of tumor
spread [13] (Fig. 6.2).
Irrespective of dissemination route, the metastatic process includes local
invasion of the ECM, intravasation, bloodstream or lymphatic survival,
arrest at distant organ sites, extravasation in tissue parenchyma, survival in
a foreign microenvironment, proliferation mechanisms to reset to the initial
formation of micrometastasis, and subsequent metastatic colonization [14]
(Fig. 6.3).
1.1. Local invasion of the ECMMutations in genes that encode proteins involved in cell–matrix and cell–
cell adhesion, as well as changes in the ECM and tumor microenvironment
enable local invasion [15–19].
The ECM is composed of proteins, glycoproteins, proteoglycans, and
polysaccharides [20–22]. These components also form the BM, which
Figure 6.3 Metastasis cascade: Hematogenous pathway.
179Circulating Markers of Breast Cancer
separates the epithelium or stroma endothelium and the interstitial matrix.
The BM is a compact and specialized ECM with little porosity.
The ECM also possesses direct or indirect signaling properties that
allow cells to interact with their microenvironment via signal transduction
processes, which also influence gene expression [22]. The ECM also has bio-
mechanical properties, such as elasticity, which determines how cells mon-
itor and perceive external forces. The cytoskeleton, nuclear matrix, nuclear
membrane, and chromatin constitute the mechanosensory machinery that
determines cell reaction to ECM forces [22].
Alterations in structure, signal transduction or biomechanical properties
of the ECM have important roles in cancer development. In local invasion,
cancer cells disseminate to stromal and normal tissues surrounding the
180 Eunice López-Muñoz and Manuel Méndez-Montes
primary tumor to induce BM thinning that potentially leads to rupture.
Invasion, migration, and dissemination can be random or directed. Directed
cell migration includes chemotaxis, haptotaxis, electrotaxis, and durotaxis
[23,24].
1.2. Tumor cell migrationMigration through the ECM can occur via a multicellular process (collective
invasion, cell streaming) and individually (amoeboid migration, mesenchy-
mal migration). Migration via these routes is dependent on tumor cell type
and the underlying microenvironment [24] (Fig. 6.4).
Collective migration is the movement of whole clusters or sheets of
tumor cells. This occurs when two or more cells retain cell–cell junctions
and move together through the ECM. Leading edge cells participate in che-
motaxis and ECM degradation to create space.
Amoeboidmigration does not always requireMMP activity because cells
can cross the space of the basal membrane by altering their biomechanical
properties. ECM degradation is, however, required for mesenchymal
Figure 6.4 Tumor cell migration. (A) Collective cell invasion and/or cell streaming.(B) Individual cell invasion.
181Circulating Markers of Breast Cancer
migration. These processes may be coincident and can interconvert in
response to the microenvironment and regulatory factors such as micro-
RNA (miRNA) [25].
Tumor cells face considerable obstacles during invasion. For example,
E-cadherin (CDH1) is a critical element in epithelial tissue organization that
mediates intercellular unions and prevents dissociation of epithelial cells.
As such, tumor cells choose the epithelial–mesenchymal transition (EMT)
as an option for invasion. The BM barrier can be degraded by invadopodia,
specialized protrusions rich in F-actin, present on the tumor cell membrane
[26–28].
1.3. Epithelial–mesenchymal transitionTheEMT is a process inwhich cells lose their epithelial characteristics (cell–cell
adhesion, apical–basal polarity) and acquiremesenchymal properties (invasive-
ness, resistance to apoptosis, motility) [29,30]. Interaction between cancer cells
in the tumormicroenvironment can induceEMTbyauto-andparacrine secre-
tionof growth factors, cytokines andECMproteins. EMTfacilitates tumor cell
migration and invasion of the surrounding microenvironment by weakening
cell–cell cohesion, increasing ECM degradation, and modifying the cellular
cytoskeleton. Epithelial cell cytoskeletal markers include cytokeratins (CKs)
and mesenchymal cells include vimentin (VIM). As can be expected, CK are
usually repressed and VIM overexpressed during EMT [31].
Transcription factors associated with EMT include snail homolog 1 of
drosophila (SNAI1), snail homolog 2 of drosophila (SNAI2), twist homolog
1 of drosophila (TWIST), defensin alpha 1 (DEFA1), zinc finger E-box
binding homeobox 1 (ZEB1), zinc finger E-box binding homeobox 2
(ZEB2), goosecoid homeobox, and forkhead box C2. These factors suppress
epithelial markers and induce the expression of mesenchymal markers.
Signaling pathways include transforming growth factor-beta (TGF-b),NOTCH1, and wingless-type MMTV integration site family (WNT) that
repress the expression of complex cell adhesion molecules, such as CDH1,
claudin, and occludin [32,33].
SNAI1 and ZEB increase the expression of different MMP and plasmin-
ogen system components that promote ECM degradation [34]. SNAI1 and
SNAI2 also participate in neovasculature formation through angiogenic fac-
tors [35]. EMT regulators such as ZEB1 and TWIST enhance intravasation
while manipulating endothelial cell interaction [36,37]. EMT enhances cell
resistance to apoptotic signals, thus contributing to CTC survival in the
182 Eunice López-Muñoz and Manuel Méndez-Montes
bloodstream [38]. SNAI1 negatively regulates caspases, which increases
resistance to cell death [39]. ZEB2 prevents apoptosis of cells by protecting
them from DNA damage [40]. TWIST confers resistance by antagonizing
the proapoptotic effect mediated by v-myc myelocytomatosis viral onco-
gene homolog avian (MYC) [41]. ZEB1 is an important component of neu-
rotrophic tyrosine kinase receptor type 2 (NTRK2)-induced EMT and,
thus, suppresses anoikis [42]. Some miRNA have also been associated with
EMT. For example, cells under EMT have reduced expression of the miR-
200 and miR-205 family, whose principal targets of action are ZEB1 and
ZEB2, specific repressors of CDH1 [43–45]. SNAI1 and TWIST are
involved in chemoresistance and radioresistance in several human cancer
cells [46,47].
The EMT of tumor cells appears transient. EMT markers are not usually
found in distant metastases. It is likely that tumor cells acquire mesenchymal
characteristics to invade stroma, extravasate into the circulation, and once in
the distant organ, regain their epithelial characteristics via mesenchymal–
epithelial transition (MET). As such, it is important to consider EMT and
MET markers in the search for CTC. For example, low CDH1, high
VIM, and expression of N-cadherin (neuronal) (CDH2) (markers of
EMT cells) have been recently identified in CTC [48]. CK negative and
mesenchymal-positive breast cancer patients had a poorer prognosis com-
pared to those without mesenchymal markers [49].
CTC with EMT-type modifications acquire a more aggressive pheno-
type, that is, similar to stem cells. This phenomenon and resistance to con-
ventional therapy may generate more aggressive CTC subpopulations
[30,50].
1.4. InvadopodiaInvadopodia were first described as cell adhesion sites in the form of rosettes,
that is, structures similar to those formed in RSV-transformed chicken
embryo fibroblasts, which degraded the ECM [51]. Formation of
invadopodia is associated with tumor invasiveness and metastatic potential.
Invadopodia can be formed in cell lines obtained from bladder primary
tumors [52,53], colorectal cancer, and squamous cell carcinoma [54], as well
as those invasive in in vitro and animal xenographic models, that is, breast
cancer [55–58].
Invadopodia has been demonstrated in gelatin or fibronectin (2D), ECM
gels of collagen type I, and Matrigel 3D [59], in ex vivo cultures on ECM
183Circulating Markers of Breast Cancer
peritoneum [54,60] and urinary bladder [61], as well as xenografts by immu-
nofluorescent and intravital imaging. Primary culture invadopodia is mor-
phologically equal to that in cell lines and cortactin positive, a marker of
invadopodia.
Eckert et al. [62] showed that SH and PX domains 2A (SH3PXD2A,
TKS5) were markers of invadopodia. In their absence, breast cancer cells fail
to metastasize to the lungs, a process necessary for hematogenous dissemina-
tion. Gligorijevic et al. [63] showed that altered Wiskott-Aldrich syndrome-
like (WASL orN-WASP) decreased invasion and intravasation, as well as lung
metastasis of mammary tumors. These markers were also associated with
invadopodia.
Elucidation of invadopodia markers is critical to identify cells with meta-
static potential includingCTCand for thedevelopmentofnew therapeutic tar-
gets. These include the IQ motif and Sec7 domain 1 (IQSEC1 or GEP100)
[64], ADP-ribosylation factor 6 (ARF6) [65], cofilin (CFL) [66], epidermal
growth factor receptor (EGFR or mENA) [67], phosphatidylinositol-4,5-
bisphosphate 3-kinase, catalytic subunit alpha (PIK3CA or p110alpha) [68],
cortactin (CTTN) [69], caveolin 1,k caveolae protein 22-kDa (CAV1) [70],
fascin homolog 1, actin-bundling protein (Strongylocentrotus purpuratus)
(FSCN1) [71], MMP-14 (membrane-inserted) [72], FYVE, RhoGEF and
PH domain containing 1 (FGD1) [73], and SH3PXD2A [74]. It is likely that
therapies aimed at disrupting invadopodiawould also injure podosomes, struc-
tures presentona varietyof cell types includingmacrophages, neutrophils, den-
dritic cells, and osteoclasts. Podosomes and invadopodia do, however, possess
differences. Monocytic cell podosomes require growth factor receptor-bound
protein 2 (GRB2) for their formationwhile invadopodia requireNCKadaptor
protein (NCK) [75].
Once tumor cells have degraded the BM, they enter the stroma where
stromal cells enhance neoplastic cells via bidirectional interaction. Adipo-
cytes in the local microenvironment secrete interleukin-6 (IL-6) to promote
tumor cell invasiveness [76], and CD4þ T-lymphocytes stimulate tumor-
associated macrophages (TAMs) to activate signaling mediated by EGFR.
Cancer cells secrete interleukin-4 (IL-4), thereby triggering cathepsin in
TAM and thus increasing invasiveness [15].
1.5. IntravasationNeoplastic cells cross the barrier of endothelial cells and pericytes, which forms
thewalls of the microvessels. The TGF-b [77] and perivascular TAM enhance
184 Eunice López-Muñoz and Manuel Méndez-Montes
the intravasation of breast cancer cells [78] by secretionof epidermal growth fac-
tor and colony stimulating factor 1. Neoplastic cells stimulate the formation of
tortuous new blood vessels with increased permeability. Constant remodeling
facilitates intravasation [79] via several mechanisms involving vascular endo-
thelial growth factor (VEGF), prostaglandin-endoperoxide synthase 2 (prosta-
glandin G/H synthase and cyclo-oxigenase) (PTGS2 or COX-2), epiregulin
(EREG), MMP-1 (interstitial collagenase), and MMP-2 (gelatinase A,
72-kDa type IV collagenase) [80].
1.6. CirculationCancer is a dynamic disease involving time, phenotypic changes, and evo-
lution of neoplastic cells (primary tumor to CTC). As such, CTC represent a
heterogeneous population of cells with unique characteristics that allow dis-
tant travel and the ability to establish disseminated disease.
CTC survive in circulation despite overwhelming obstacles. The latter
include susceptibility to anoikis (epithelial cells that lose their dependent
integrins; adhesion mechanisms normally undergo anoikis) [81], the possi-
bility of being trapped in capillary beds by their relatively large diameter
within minutes of their intravasation, hemodynamic forces, and the innate
immune response (natural killer cells) [14].
CTC apparently modify the pentose phosphate signaling pathway and
the control of glucose uptake [82] and induce NTRK2 expression to suppress
or delay anoikis [83]. They acquire a greater deformation capacity due to a
decreased F-/G-actin ratio resulting in a less polymerized microfilament
network [84]. They evade hemodynamic force and the immune response
by forming relatively large emboli through contact with platelets via expres-
sion of tissue factor and/or L- and P-selectins (SELL and SELP) [85]. This
process may involve microtentacles [86], which are plasma membrane exten-
sions enriched inmicrotubules. The formation of tumor/platelet microemboli
increases the time in which CTC persist until their arrest in distant tissues
[14,86,87]. Despite these evasion strategies, only a small percentage of
CTC ultimately produce secondary tumors.
Specimens obtained from blood and lymphatics are a potential source for
the identification of occult tumor cells. Despite curative treatment, some
patients without evidence of tumor dissemination on clinical, radiological,
pathological, or physical examination will develop recurrent disease. This is
probably due to the presence of scattered occult cancer cells undetected by
routine methods [3].
185Circulating Markers of Breast Cancer
Metastasis is one of the factors that influence the prognosis and manage-
ment of cancer [88]. The development of high sensitivity immunologic and
molecular methods to detect small numbers of cancer cells in lymph nodes
during primary tumor surgery, in peripheral blood, or distant organs such as
bone marrow, has been attempted [4].
In breast cancer, the presence of metastases in axillary lymph nodes is pre-
dictive of distant metastases. Despite highly sensitivity methods, 20–30% of
patients without axillary lymph node metastases develop distant metastatic
disease. This suggests that hematogenous dissemination is not related to
lymph node metastasis [1].
Detection can be performed by DTC bone marrow aspirate, an invasive
procedure. In comparison, the use of peripheral is a simple and relatively
noninvasive choice that allows repeat sampling. If spread is early, then detec-
tion of tumor cells in peripheral blood is possible before clinical manifesta-
tion in distant organs [3]. According to the metastasis parallel model, the
genetic alterations that CTC acquire should be even more relevant for their
identification and for prediction of the treatment response compared with
the primary tumor.
1.7. Arrest in distant organsCTC spread is generally limited to a target group of organs [89]. It has been
proposed that CTC arrest in passive form due to size constraints of the vascu-
lature in capillaries of distant organs [90]. It has also been proposed that CTC
have predilection for specific tissues. Tumor cells are capable of forming adhe-
sive interactions [91], as well as, sharing and cooperating with the target tissue
via cytokines and chemokines to determine the organotropism of metastasis
[92,93]. Chemokine (C-X-C motif ) receptor 4 (CXCR4) and chemokine
(C-C motif ) receptor (CCR7) and their ligands chemokine (C-X-C motif )
ligand 12 (CXCL12) and chemokine (C-Cmotif ) ligand 21 (CCL21) are used
for breast cancer arrest and permit migration into secondary organs [94,95].
The arrest of metastatic cells at distant sites is facilitated by platelets and
leukocytes that form SELL and SELP complexes with tumor cells. The
expression of selectin ligands (sLex/a, sialyl Lewis x/a glycans) is associated
with metastatic progression and poor prognosis [96].
1.8. ExtravasationCTCmay initiate intraluminal growth and form microcolonies, which even-
tually break the surrounding blood vessel walls to release tumor cells into the
186 Eunice López-Muñoz and Manuel Méndez-Montes
target tissue or organ, or penetrate the layer of endothelial cells and pericytes
by increasing gene expression that promotes vasculature permeability [97–99].
Stroma-derived TGF-b enhances metastatic tropism of breast cancer cells by
lung tissue, inducing angiopoietin-like 4 (ANGPTL4) expression, which, in
turn, facilitates remodeled vasculature and tumor cell extravasation [100].
Other proteins involved in the induction of increased pulmonary vascular per-
meability to allow CTC extravasation are angiopoietin 2 (ANGPT2),
MMP-3 (stromelysin 1, progelatinase), MMP-10 (stromelysin-2), and VEGF
[101–103].
1.9. ColonizationOnce in the target tissue or organ, tumor cells establish a two-way relation-
ship with the microenvironment. They suppress the immune response, pro-
mote angiogenesis, and release factors that promote growth, survival and cell
motility [29]. In response, the host tissue alters gene expression to provide a
favorable environment for tumor cells [104,105]. First proposed by Stephen
Paget in 1889 [106] as the “seed and soil” hypothesis, Paget thought that
successful colonization in a secondary organ depends on the intrinsic prop-
erties of the tumor itself (seed) and on a permissive and supportive role of the
environment (soil).
Each type of cancer (lung, breast, prostate) can metastasize to the same
organ (brain), to develop different molecular programs and activate different
signaling pathways. These are probably related to the accumulation of
genetic changes in cancer cells necessary for primary tumor growth and dis-
semination, as well as, additional changes required to survive and grow
remotely. The genes involved in metastasis are categorized as initiation, pro-
gression and virulence genes, the latter allowing colonization of secondary
organs [96,105,107].
1.10. Metastatic dormancyTumor cells may remain silent and viable for long periods of time, a phe-
nomenon defined as “metastatic dormancy.” This phenomenon has been
implicated in the identification of metastases that are clinically apparent a
few years or decades following surgical resection of the primary tumor.
Tumor cells remain viable and progressively acquire genetic and epigenetic
changes that allow a reduced proliferative and metabolic state thus impeding
therapeutic eradication specifically directed at proliferative and metaboli-
cally active cells [96,108,109].
187Circulating Markers of Breast Cancer
2. TECHNIQUES FOR CTC DETECTION
CTC detection is a proverbial “needle in the haystack” problem.
Human blood contains an overwhelming number of red cells (5–9�109
per mL), white cells (5–10�106 per mL), and platelets (2.5–4�108 per
mL) relative to CTC (�1 CTC per 106–107 mononuclear cells, MNCs).
Due to their scarcity and high cellular background, these rare events need
to be detected using enrichment techniques combined with ultra-high sen-
sitivity methods [110,111].
Although enrichment techniques increase rate of isolation, there is inev-
itable CTC loss [112] despite the use of markers that uniquely identify these
cells [3]. Tumor-specific markers are key to CTC detection. Epithelial cell
and specific cancer markers are currently in use.
Epithelial markers are usually expressed by all tumor cells of epithelial
origin including epithelial cell adhesion molecule (EPCAM) and several
CKs such as CK7, CK8, CK18, and CK19.
Specific tumor markers used for breast cancer CTC include v-erb-b2
erythroblastic leukemia viral oncogene homolog 2, neuro-/glioblastoma-
derived oncogene homolog avian (ERBB2 or HER-2/neu), secretoglobin
family 2A, member 2 or mammaglobin 1 (SCGB2A2), melanoma antigen
family A3 (MAGEA3), mucin 1, cell surface associated (MUC1), mucin 2,
oligomeric mucus/gel-forming (MUC2), N-acetylgalactosaminyltransferase
(GALNT), serpin peptidase inhibitor, clade B (Ovalbumin), member 5 or
maspin (SERPINB5), and stanniocalcin-1 (STC1).
miRNA are small noncoding RNA molecules that modulate expression
of target genes. These have been reported as stable blood-based biomarkers
in carcinomas. Epigenetic alterations which are common and specific to
tumors have also been proposed as other potential CTCmarkers [113–115].
Theuseof specific tumormarkers detected by immunological ormolecular
techniques, ie, reverse transcription polymerase chain reaction (RT-PCR)
has expanded rapidly. Due to tumor heterogeneity, there is no universally
expressed marker in any particular cancer type.
On the other hand, “tumor-specific” markers are also expressed by nor-
mal cells such as leukocytes, albeit at lower levels. For this reason, genetic
disorders or abnormalities found exclusively in tumor cells, such as ERBB2
amplification in breast cancer, have been proposed as tumor specific. PCR
or fluorescence in situ hybridization (FISH) can detect these genetic
alterations.
188 Eunice López-Muñoz and Manuel Méndez-Montes
These issues have resulted in the lack of acceptance as a standard method
in the diagnosis, management, and monitoring of cancer [116].
2.1. Enrichment or isolation methods2.1.1 Cell morphology2.1.1.1 Epithelial tumor cell isolationEpithelial tumor cell isolation (ISET) is based on differences in the cancer
cell size versus peripheral blood leukocytes. Tumor cells are usually larger
than their normal cell counterparts and may be isolated by microfiltration
methods [117,118].
ISET uses a microfluidic platform consisting of multiple arrays of isola-
tion wells of increasing size. Wells (5–8 mm) permit passage of leukocytes
and deformable erythrocytes while entrapping large tumor epithelial cells.
This approach requires 6–15 mL peripheral blood and has an isolation effi-
ciency and cell purity of 80% for breast and colon cancer cells with a sen-
sitivity of one CTC per milliliter. CTC are isolated without damaging
inherent morphology.
CTC are evaluated by cytopathologists for malignant phenotype by
morphologic criteria including nuclei equal to or greater than two pores
(16 mm), nuclear contour irregularity, visible presence of cytoplasm, and a
high nucleus/cytoplasm index (>0.8).
Cell identification and characterization can also be performed by immu-
nocytologic, cytogenetic, and molecular studies. Cells of interest can then be
individually recovered by laser microdissection and their DNA amplified.
The limitations include low specificity, potential to lose smaller CTC,
and retention of microemboli and lymphocytes larger than the pore size
[118–120].
2.1.1.2 ScreenCell isolationScreenCell is a system designed for the collection of peripheral blood CTC
in using small compact devices containing a microporous membrane that
allows size-selective isolation of rare tumor cells. Following lysis of red blood
cells (RBC), CTC isolation is achieved in 3 min in standard collection tubes.
The circular track-etched filter (polycarbonate, it4ip, Belgium) is 18 mmthick, with a smooth flat and hydrophilic surface. Circular pores are cali-
brated (7.5�0.36 or 6.5�0.33 mm for isolation of fixed or live cells, respec-
tively) and randomly distributed throughout the filter (1�105 pores/cm2).
This system can isolate and characterize a wide variety of tumor cells, both
live and fixed, including mesenchymal, cancer stem, microemboli, and
189Circulating Markers of Breast Cancer
cancer cells of nonepithelial origin. Cells are well preserved and can be iso-
lated and grown in culture for molecular studies or screening potential
therapeutics [121].
2.1.2 Enrichment based on cell density2.1.2.1 Ficoll-HypaqueThis density-based method is based on differential centrifugation in Ficoll-
Hypaque (GE Healthcare). The density of MNCs is<1.077 g/mL, whereas
that of other blood cells and granulocytes is higher [112]. Separation of cell
types is accomplished in different layers or strata [122] (Fig. 6.5). This
method has a sensitivity of one CTC per 4.6 mL and requires 15–30 mL
blood. Isolated CTC can be identified and characterized by immuno-
cytologic, molecular, and cytogenetic analyses. This approach is relatively
easy to perform and inexpensive. However, it has low specificity and
involves cross-contamination with polymorphonuclear cells. In addition,
CTC may be easily lost. Centrifugation must be performed immediately
to prevent mixing between the layers. Ficoll-Hypaque may be toxic to cells
in prolonged contact thus changing gene expression [112].
2.1.2.2 OncoQuickThis method increases the efficiency of density gradient centrifugation
(OncoQuick, Greiner Bio-One, Germany). To avoid cross-contamination,
a porous membrane is used to separate reticulocytes and granulocytes
from tumor cells and MNCs. The average tumor cell recovery rate is
improved (87%) versus traditional Ficoll-Hypaque (84%). This method
Figure 6.5 Density gradient separation. Mononuclear cells (MNCs) containing CTC aresuspended and erythrocytes pelleted.
190 Eunice López-Muñoz and Manuel Méndez-Montes
reduces MNC contamination, thereby improving CTC characterization by
RT-PCR [122].
2.1.3 Immunomagnetic enrichmentImmunomagnetic enrichment is based on the differential expression of spe-
cific surface antigens on epithelial tumor cells and mononuclear hematopoi-
etic cells using both positive and negative selection. In the positive pathway,
CTC are selected via magnetic beads coupled to antibodies directed to epi-
thelial surface markers, such as CK, EPCAM, or tumor-specific antigens,
that is, carcinoembryonic antigen or ERBB2. The most commonly used
is EPCAM, a cell adhesion molecule expressed on the surface of 80% of can-
cers of epithelial origin [123,124]. False positive selection may occur due to
the expression of epithelial markers in nonepithelial cells [3,125] (Fig. 6.6).
In negative selection, reduction is carried out using MNC surface
markers of hematopoietic cells [126,127]. The most commonly used are
CD45 and CD60, surface markers expressed only on leukocytes and mega-
karyocytes, respectively [128].
2.1.3.1 Magnetic activated cell sortingMagnetic activated cell sorting (MACS) captures CTC by immunolabeling
superparamagnetic particles (�50 nm diameter) (Miltenyi Biotec, Germany).
These beads are composed of a biodegradable matrix. It is therefore not
Figure 6.6 Immunomagnetic cell isolation.
191Circulating Markers of Breast Cancer
necessary to remove them from cells after the separation process. Isolated cells
are preserved in structure, function and activity.
This approach can result in false positive results due to nonspecific label-
ing or false negatives due to the absence of CTC antigens. MACS has a sen-
sitivity of one cell per 0.3 mL requiring 5–15 mL blood [129,130]. CTC
isolated by this method can be characterized by immunocytologic, molec-
ular, and cytogenetic studies.
2.1.3.2 DynabeadsDynabeads (Dynak, Norway) are uniform spherical polystyrene beads that
have been made magnetizable and superparamagnetic, that is, magnetic only
in a magnetic field. The beads can easily be resuspended when the magnetic
field is removed. The target-specific antibodies bind to the surface of the
beads, allowing the capture and isolation of intact CTC. The antibodies,
or ligands, may be covalently bound to the magnetic beads or bound via sec-
ondary antibodies. CTC may be removed by specific antibodies, enzymatic
cleavage or reaction with affinity molecules.
Dynabeads can be used for isolation or depletion of various cell types
using positive selection or negative selection or both. Positive selection
results in a bead:cells ratio of 4:1–10 with high purity (95–100%) and via-
bility (60–95%) using >1�107 beads/mL. Negative selection results in a
bead:cell ratio of >4:1 with high depletion (95–99%) using >2�107
beads/mL. Successful cell isolation with this approach is dependent on mag-
netic bead concentration, bead/target cell index, and antibody [131].
2.1.3.3 EasySepEasySep is an immunomagnetic selection method (Stem Cell Technology,
Vancouver, Canada). The cells are labeled with monoclonal antibodies
directed against specific cell surface markers. The method employs tetra-
meric antibody complexes (TACs) and dextran-coated magnetic particles
to select or deplete cells of interest. Magnetic separation results in two dis-
tinct cell fractions that are immediately available for analysis [132].
2.1.3.4 RosetteSepRosetteSep is an immunogenicity gradient method based on negative selec-
tion (Stem Cell Technology, Vancouver, Canada) [133]. This method uses
autologous RBC already present in the sample as dense particles to pellet
unwanted white cells, thereby purifying specific cell subsets by negative
selection. A cocktail of TACs that target multiple cell types crosslink
192 Eunice López-Muñoz and Manuel Méndez-Montes
unwanted cells to many RBC in whole blood. Bispecific TACs bind RBC
to the target cells and monospecific anti-RBC x anti-RBC TAC bind addi-
tional RBC, thus forming a “rosette.” The sample is then layered on a buoy-
ant density medium and centrifuged. The rosettes pellet, along with any free
RBC and granulocytes. CTC, which have not been labeled with TAC and
are not linked to RBC, do not pellet and are recovered at the plasma
interface [132].
2.1.3.5 Flow-based immunomagnetic detectionIn 2007, Immunicon presented an automated flow-based immunomagnetic
detection system in which the selection of epithelial cells is accomplished by
antibody-coated ferrous particles that separate EPCAM-expressing epithe-
lial cells. Cells are labeled with monoclonal antibodies to CK, CD45 (a pan-
leukocyte marker), and 40,6-diamidino-2-phenylindole (DAPI, a nuclear
stain) and characterized by fluorescent microscopy. The CK and DAPI pos-
itive cells are counted as a positive event and expressed as CTC per milliliter.
CK cells and/or DAPI negatives, as well as CD45 positives, are counted as
negative events. Unfortunately, CTC lacking antigen expression are not
detected [3].
2.1.3.6 CellSearchCellSearch is a semi-automated immunomagnetic separation system
(Veridex) approved by the FDA for detection and analysis of CTC in met-
astatic breast, prostate, and colorectal cancer. This method uses ferrofluid
nanoparticles labeled with EPCAM antibody. Following a three-step label-
ing procedure to distinguish CTC from leukocytes (CK8, CK18 and CK19,
DAPI, CD45), CTC are retained by application of a magnetic field
[134–136].
CTC are defined as intact cells with oval morphology of at least 4 mm in
size, positive for DAPI (nuclei) and CK (bright or moderate), and negative
for CD45/APC (leukocyte cytoplasm). Two cut-off points for whole blood
positivity have been defined: two or more CTC [134] and five or more
CTC per 7.5 mL [135].
This system requires a moderate amount of blood, is commercially avail-
able and has good recovery rate (82%). Sensitivity is one cell per 0.5 mLwith
high reproducibility and specificity [130]. This method, however, selects
only EPCAM positive CTC. False positives due to labeling of nontumor
cells and false negatives from loss of EPCAM can also occur.
193Circulating Markers of Breast Cancer
2.1.4 Microfabricated devices2.1.4.1 Affinity-based chip (CTC-chip)This system uses a microfluidic chip composed of 78,000 microposts
(100 mm height and 100 mm diameter) fabricated by deep reactive ion etch-
ing in silicon (total post surface area 970 mm2). The gap between posts
(50 mm) limits the flow rate to allow cell interaction with the microposts
functionalized with EPCAM antibodies for CTC capture.
The device has 60–65% capture efficiency (flow rate <2 mL/h) and
uses 0.9–5.0 mL blood. Real-time monitoring [137] and allows for the
isolation of highly viable cells (98%). Despite high sensitivity and specific-
ity, only EPCAM positive CTC are selected. Loss of EPCAM in CTC
leads to false negative and nonspecific binding leads to false positive results
[3,137,138].
2.1.4.2 Microvortex-generating herringbone-chipThis version of the CTC-chip uses surface ridges, that is, herringbones, in
the wall of the device to disrupt the laminar flow streamline to maximize
collisions between CTC and the EPCAM antibody-coated walls [139]. This
device isolates CTC directly from blood thus preventing potential cell loss
and destruction. Highly viable cells are obtained.
2.1.4.3 Deterministic flowThe deterministic hydrodynamic flow microfluidic device is based on
particle size separation. The microfluidic chamber consists of a micropost
array. Micropost diameter, distance between microposts in each row and
row-to-row variation are important design parameters. Particles below
and above the critical hydrodynamic diameter follow different trajectories,
that is, separation.
This device has been used for the separation of various blood cell
types and DNA fragments. Device flow rates (1 mL/min) correspond to
a flow velocity of 1 mm/s, approximate to that physiologically [3,138,140].
2.1.4.4 DEP chipThe DEP (dielectrophoresis) chip uses thin flat chambers with microelec-
trode arrays patterned by microfabrication. The DEP force arises when
AC fields are applied to the electrodes. The nDEP (negative dielectrophoresis)
force and the hydrodynamic force vary at different distances from the elec-
trodes. Cells with similar properties find their steady-state positions between
electrodes. Since the flow profile of a cross section along the flow direction is
194 Eunice López-Muñoz and Manuel Méndez-Montes
almost a perfect parabola, particles in fluid layers at different distances have
different flow velocities. Cells of different types are separated with respect
to their dielectric properties and hydrodynamic flow properties without
impacting viability [3,138,141–143].
DEP chip has an efficiency of 100% when MDA-MB-231 breast cancer
tumor cells are spiked in blood at tumor:blood cell ratio of 1:105 with a rate
of separation of 103 cells/s [141]. This method is limited by its sample vol-
ume thereby reducing its ability to identify small number CTC. This
approach also requires separation of the cellular components from plasma
and resuspension in a low conductivity isotonic sucrose and dextrose
medium.
2.1.4.5 Size-based microfluidic separationThis filter method is based on size because most CTC are larger than hema-
topoietic cells. The filter separates CTC in a simple rapid manner (10 min)
and does not require use of antibodies. A recovery rate of>85% for cultured
prostate cancer cells spiked in blood has been reported [3,138,144].
2.1.5 Other cell enrichment systems2.1.5.1 AdnaTest BreastCancerAdnaTest (AdnaGen AG, Langenhagen, Germany) isolates EPCAM posi-
tive cells via magnetic beads conjugated with epithelial cell antibodies
[145]. CTC are lysed and mRNA examined by RT-PCR to identify
tumor-specific markers (MUC1 and ERBB2). This method has a sensitivity
of two cells per 5 mL and takes into account tumor cell heterogeneity in
gene expression patterns. The test is considered positive if at least one or
more of three markers show increased signal expression (�0.15 ng/mL).Like other methods, there is the possibility of false positives by nonspecific
labeling and of false negatives by antigen loss [136,145].
Using this method, Andreopoulou et al. [146] demonstrated that ERBB2
amplification in the primary tumor resulted in expression of ERBB2 in CTC.
Other studies, however, reported discordance in ERBB2. In metastatic
breast cancer, ERBB2-positive CTC were found in 41% and 47% of cases
using CellSearch and AdnaTest BreastCancer, respectively [147]. Using Cel-
lSearch, ERBB2-positive CTC were detected in 32% of patients with
ERBB2-negative primary tumors. Using AdnaTest BreastCancer, 49% were
detected. There was no concordance in the ERBB2 positivity between the
primary tumor and CTC (p¼0.96, k¼�0.006). In the GeparQuattro trial,
ERBB2 overexpressing CTC were observed in 14 of 58 patients with breast
195Circulating Markers of Breast Cancer
cancer (24.1%). Eight of the patients (57%) had ERBB2-negative primary
tumors [148].
Apparently, there is a subgroup of patients with an ERBB2-negative pri-
mary tumor who develop CTC with ERBB2 amplification. Assessment of
this expression in CTC may help identify patients who initially would not
have been considered candidates for targeted therapy against ERBB2
[149,150].
2.1.5.2 Collagen matrix adhesion assay (CAM)This cellular enrichment system is based on invadopodia and the tendency of
tumor cells to invade collagen matrices. This approach is accomplished by
positive (EPCAM, pan-CK, and recapture of CAM fragments) and negative
selection (CD45). The CAM-coated device successfully recovered tumor
cells spiked in 1 mL blood with a 54�9% recovery rate and 0.5–35% purity,
and detected invasive tumor cells in 100% of patients with metastatic breast
cancer (18–256 CTC per mL). It has good sensitivity (one cell per 0.1 mL)
and excellent cell viability (99%) for subsequent molecular and genetic anal-
ysis. Although requiring only 3 mL blood, samples must be cultured for
12 h [151].
2.1.5.3 CTC infectionInfection with green fluorescent protein (GFP) expressing adenovirus, that
is, fluorescent protein gene [152] has been used to detect small numbers of
viable CTC [153]. This three-step detection method involves lysis of RBC,
addition of telomerase-specific replication-selective adenovirus expressing
the GFP (OBP-401, TelomeScan), and fluorescent microscopy.
This method allows precise enumeration of human CTC because OBP-
401 can replicate and fluoresce only in viable tumor cells [152]. The signal is
typically detected in the incubated cells 4–12 h postinfection. Because this
virus causes human infection, its usefulness may be limited.
2.1.5.3.1 NV1066 NV1020 is a genetically engineered cancer-specific
herpes simplex virus. This virus has been further modified by insertion of a
gene for enhanced GFP into the genome, creating NV1066. Enrichment is
based on infection of cancer cells with NV1066 via expression of GFP and
molecular analysis.
This fast and simple method has a sensitivity of 100 CTC per 5�107
blood cells and requires no molecular training. However, false positives
can be result from NV1066 phagocytosis by activated immune cells.
196 Eunice López-Muñoz and Manuel Méndez-Montes
CTC antigens may occur after a long period of incubation with
NV1066 [153].
2.1.5.4 Electrical biosensorThis semi-integrated electrical biosensor detects rare CTC in blood. The
sample is enriched by immunomagnetic isolation (anti-EPCAM coated
beads) and size filtration. When these methods are combined, recovery rates
are >70%, even at low CTC. The enriched sample is then transferred to a
microchip for magnetic concentration, followed by immunochemical trap-
ping and electronic detection by impedance spectroscopy [154].
2.1.5.5 Fluid biopsyFluid biopsy is a relatively simple process with minimal processing of blood
samples and subsequent pathologic or cytopathologic examination.
Marrinucci et al. [155] reported the identification of CTC without using
protein-based enrichment markers. Following erythrocyte lysis, nucleated
cells are pelleted and resuspended in with phosphate buffered saline
(PBS). Cells are applied to glass slides using 2% paraformaldehyde and cold
methanol used for permeabilization. Nonspecific binding sites were blocked
with goat serum, and the slides were incubated with monoclonal anti-
pan-CK antibody (Sigma) and CD45-Alexa 647 (Serotec). Then they were
washed (PBS) and incubated with Alexa Fluor 555 goat antimouse antibody
(Invitrogen). The cells were DAPI counterstained.
Slides (four per patient) were scanned using a fast scanning fluorescent
microscope. Images were subjected to an analysis algorithm to identify high
definition-CTC (HD-CTC) based on CK and CD45 intensity, shape, and
nuclear and cytoplasmic size, as well as intact DAPI nucleus without apo-
ptosis. Background WBC provides morphologic comparison.
Using this technique, CTC were identified in the majority of metastatic
cancer cases. This method allows for subsequent HD-CTC characterization.
Samples can be stored frozen for an extended time for additional studies.
Evidence suggests that CTC obtained by this method have similar morphol-
ogy to those cells found in the primary tumor [155].
2.1.5.6 iCeapIntact CTC enumeration and analysis procedure (iCeap) uses immuno-
magnetic enrichment and flow cytometric analysis for contamination-free
measurements [156]. The microfluidic chip allows collection of CTC for
subsequent RT-PCR, chromosome aneuploidy and mutation analysis.
197Circulating Markers of Breast Cancer
Enrichment is performed with MACS EPCAM-MicroBeads and cells
are labeled with an allophycocyanin (APC) conjugated EPCAM monoclo-
nal antibody. This method produces intact high viability CTC.
2.2. CTC identificationFollowing enrichment, identification of CTC is necessary to assess origin.
Identification methods may or may not be separate from the enrichment
procedure and are usually protein-or nucleic acid-based [157–166].
2.2.1 CytometryCytometric methods can isolate and enumerate cells based on their antigen
expression via monoclonal antibodies directed against epithelium- or CTC-
specific markers. This approach allows for quantification of cell subpopula-
tions and simultaneous examination of cell size, viability, and DNA content,
as well as intra and extracellular markers [156,157]. CTC obtained by this
method may undergo additional morphologic assessment and molecular
analysis.
This approach frequently relies on the detection of cell surface CK.
Unfortunately, CK may be down regulated in tumor cells to allow invasion
and migration [158,159]. Although ERBB2 is another potential marker for
CTC [160], it is not present in all tumor cells and is expressed in 10% of
healthy women [161]. EPCAM is expressed in most epithelial tumors and
can be used as a CTC marker [162,163]. It has low sensitivity (one tumor
cell/104–105 blood cells) compared to RT-PCR [167,168].
2.2.1.1 FASTFiber-optic array scanning technology (FAST) (Bruce Laboratory, Palo Alto
Research Center) is a fiber-optic array laser-scanning technology. This
method enables rapid high-fidelity location of CTC identified by the con-
ventional markers CK, DAPI, and CD45. CTC can be simultaneously
labeled for at least three additional tumor biomarkers.
FAST locates CTC 500-fold faster than automated digital microscopy
(ADM) with comparable sensitivity, but improved specificity. FAST does
not require cell enrichment. FAST has a light collection system that has a
very large field of view (50 mm) with no loss of efficiency. This wide col-
lection aperture (100-fold increase over ADM) is large enough to enable
continuous scanning and eliminates the need to step the sample, that is,
the main source of latency [169]. A database containing true and false pos-
itives allows optimization of image filters [169–171].
198 Eunice López-Muñoz and Manuel Méndez-Montes
2.2.1.2 EPISPOTThe epithelial immunospot technique (EPISPOT) detects proteins
secreted/released/shed from single epithelial cancer cells. Cells are cultured
on an antibody-coated membrane. Following capture, fluorochrome-
labeled secondary antibodies are used subsequently detect proteins such as
CK19 and MUC1 in breast cancer.
Only viable cells are identified, as nonviable cells are unable to secrete
adequate amounts of protein. EPISPOT has a 100-fold higher sensitivity
in detecting CK19 in breast cancer cells versus ELISA [172,173].
2.2.1.3 LSCLaser scanning cytometer (LSC) (Compucyte Corporation, Cambridge,
MA, USA) combines the speed of flow cytometry with the ability to analyze
every positive event morphologically.
Combined with antibody-coated magnetic beads (EPCAM and CD45),
the cytometer determines background fluorescence dynamically to calculate
peak and integral fluorescence on a per-cell basis. This calculation results in
improved correction for background fluorescence. It is possible to relocate
the cells within the positive population allowing microscopic verification.
One positive cell in 104 cells is detectable, and 50 out of 60 tumor cells
are reliably recovered from 20 mL blood (�1–2 cells per 107 blood cells)
after magnetic bead enrichment [112,157,174,175].
2.2.1.4 Automated microscopic systemThe automatedmicroscopic system detects and quantifies CTC. It also stores
each detected image for subsequent visual assessment.
Kraef et al. [176] developed the rare event imaging system for the detec-
tion and analysis of cancer cells in blood and bone marrow. Slides are auto-
matically scanned at low magnification for tumor cells (CK/rhodamine
labeling) and total cell count (nuclear DAPI labeling). All positive events
can be reviewed and confirmed with higher magnification. Cells may also
be viewed using fluorescence filters for multiple-marker analysis to increase
specificity and phenotypic characterization. Kraef et al. [176] developed a
double-labeling protocol that combined CK with breast cancer surface anti-
gens, that is, EPCAM [177,178].
Other automated scanning systems are available including ACIS
(Automated Cellular Imaging System, DAKO, Glostrup, Denmark) and
ARIOL (Applied Imaging Corp., San Jose, CA, USA) [157].
199Circulating Markers of Breast Cancer
2.2.2 Methods based on nucleic acidsBreast cancer CTC may be identified by detection of genetic or epigenetic
alterations including mutations in proto-oncogenes or tumor suppressor
genes, microsatellite instability and presence of oncogenic viruses [157].
Because circulating free DNA may not be reflective of actual tumor cell
presence, this method has not been clinically implemented.
2.2.2.1 RT-PCRSeveral RT-PCR methods for analysis of epithelium- or organ-specific
expression may facilitate investigation of target genes relevant to metastasis
[179]. Detection of mRNAof overexpressed or mutated genes in breast can-
cer by RT-PCR has been considered a suitable alternative in CTC detec-
tion. As RNA disappears quickly from the blood after cell death, detection
of RNA is likely due to the presence of whole tumor cell, not cell fragments
or free RNA. Following cDNA synthesis, the gene of interest is amplified
using traditional oligonucleotide primers [157].
RT-PCR has high sensitivity for CTC detection in peripheral blood
[180]. This rapid method requires a small blood volume (1.5–10 mL) and
has a sensitivity of approximately one tumor cell/106 blood cells. Due to
its high instability, loss of RNA can lead to false negative results.
False positives can be detected using tumor markers of low specificity to
detect nonmalignant epithelial cells released during an invasive procedure,
for amplification of free nucleic acids in peripheral blood or markers with
illegitimate expression in nontumor cells (hematopoietic cells) from sample
contamination [181] or from the presence of pseudogenes. False negatives
may occur due to the absence or decreased expression of marker genes
[66,88,182,183]. Unfortunately, this technique does not allow CTC visual-
ization or subsequent analysis by other methods. It cannot distinguish viable
and nonviable cells [151].
Markers such as SERPINB5, SCGB2A2, and CK19 permit the use of
this technique to detect CTC [182,184,185]. Multiplex RT-PCR permits
detection based on the expression of various tumor-associated genes.
2.2.2.2 qRT-PCRqRT-PCR allows visualization of low and high mRNA expression thus
increasing discrimination of normal versus tumor cells. Unfortunately, the
presence of a specific marker in breast cancer is inconsistent due to tumor
heterogeneity.
200 Eunice López-Muñoz and Manuel Méndez-Montes
The use of internal qRT-PCR controls minimizes false positives and
improves specificity of CTC detection. Repetitive measurement signal
amplification also allows the identification and elimination of false positive
results [186]. This approach can detect specific CTC transcript fragments in
the blood of cancer patients even when CTC are not viable and have not
been detected by other methods [117].
The selection of appropriate mRNA markers specifically expressed in
tumor cells is critical for achieving the highest CTC sensitivity and specific-
ity. The sensitivity of the SCGB2A2 marker by qRT-PCR is 29–49% in
patients with metastatic breast cancer [130,187]. The sensitivity of bac-
uloviral IAP repeat containing survivin (BIRC5) and telomerase reverse
transcriptase (TERT) in the peripheral blood of patients with breast cancer
is 36.2% and 59.6%, respectively [188]. Sensitivity of CTC detection
increased to 70.2% when BIRC5, SCGB2A2, and TERT were combined.
Using qRT-PCR, MUC1 expression was associated with 11%, 24%,
and 45% of patients with benign breast disease, breast cancer, and operable
advanced breast cancer, respectively [128,189]. Secretoglobin family 2A,
member 1 or mammaglobin 2 (SCGB2A1) was found to be one of the best
CTC markers in breast cancer.
3. MOLECULAR AND GENETIC CHARACTERIZATION
Some patients do not develop metastases even in the presence of CTC
in the peripheral blood [190,191]. As such, the characterization of these cells is
vitally important and may be accomplished by a variety of techniques includ-
ing immunohistochemistry (IHC), FISH, comparative genomic hybridization
(CGH), PCR, RT-PCR, gene expression microarrays, and others.
These methods provide important information regarding malignancy
and metastatic potential and whether or not CTC are genetically identical
to the primary tumor [130,147,149].
3.1. IHCIHC can detect tissue-specific antigens and markers of invasiveness, angio-
genesis, apoptosis, and cell proliferation, among others.
3.2. FISHFISH can be used to identify chromosomal abnormalities via labeled probes
that target-specific DNA sequences. More than one probe may be used at
the same time, that is, each probe labeled with a different fluorochrome.
201Circulating Markers of Breast Cancer
The most useful FISH probes are: centromeric, chromosome painting, and
locus-specific for fusion, deletion or duplication studies.
Centromeric enumeration probes hybridize to the alpha (or beta) satellite
repeat sequences within the centromeric region specific to each chromo-
some. As such, these probes are used for chromosome enumeration, that
is, detection of ploidy abnormalities. Chromosome painting probes, gener-
ated from chromosome-specific probe libraries, are useful in deciphering
cytogenetic aberrations. Locus-specific probes hybridize to a unique human
genome sequences. They are most frequently used to detect rearrangements,
gains, and deletions as well as amplification in bothmetaphase and interphase
cells. FISH interphase analysis is an attractive and practical way to assess
ERBB2 amplification [192].
Evaluation of the tumor and its CTC by FISH has revealed that a neg-
ative ERBB2 primary lesion can release positive ERBB2 CTC and vice-
versa [149].
3.3. Multicolor FISHMulticolor FISH is based on the simultaneous hybridization of 24 chromo-
some-specific probes. This approach is suitable for identification of cryptic
chromosomal aberrations, that is, translocation of telomeres, marker chro-
mosomes, and unbalanced chromosomal translocations. Unique color pat-
terns are produced by labeling each chromosomewith a single fluorochrome
or with combinations of multiple fluorochromes [192].
3.4. CGHCGH is a quantitative two-color FISH technique [193]. CGH detects geno-
mic imbalances in solid tumors or any desired genome and determines the
map position of chromosomal gains and losses, or chromosomal sub-regions,
on normal reference metaphase preparations. CTC DNA (labeled green)
and normal reference DNA (labeled red) are competitively hybridized to
normal human metaphase spread. The reference DNA serves as a control
for local variations in the ability to hybridize target chromosomes. Digital
image analysis provides a ratio of green-to-red fluorescence along the chro-
mosome on the reference metaphase spread, reflecting the copy number of
the corresponding sequences in the CTC DNA [192].
This technique can detect changes in copy number in DNA without
knowledge of suspicious genetic aberrations. It has been used to observe
genomic instability and the heterogeneity of CTC and DTC [194]. Because
its resolution is 2–4 mb, some alterations below this level cannot be excluded
202 Eunice López-Muñoz and Manuel Méndez-Montes
in those EPCAM and CK19 positive CTC that do not possess CGH changes
[194]. Ploidy aberrations escape detection by this technique [192].
3.5. Array CGHThis methodology has a resolution of 100 kb to 1 Mb. DNA arrays consist of
2000–4000 BAC clones representing the sequenced genome. Oligonucle-
otide arrays are also used in copy-number detection. These arrays contain
25-mer oligonucleotides originally designed to assess human single-
nucleotide polymorphisms. This method measures allelic loss of heterozy-
gosity [192]. Array CGH has revealed a copy number variation in which
thousands of regions of the human genome are now known to vary
[195]. This methodology is a powerful strategy to identify genes and assess
their oncogenic capacity in breast cancer cells including CTC [196].
3.6. Multimarker quantitative real-time RT-PCRNakagawa et al. [197] developed a qRT-PCR multimarker (STC1,
GALNT, and MAGEA3) approach to measure CTC in early stage breast
cancer. At least one biomarker was detected in 29%, 45%, and 77% in stage
I, II, and III cancer, respectively.
3.7. AmpliGridAmpliGrid is a PCR-based chip for direct analysis of individual cells to iden-
tify differences between CTC (Beckman Coulter Genomics, Munich, Ger-
many). In this system, 48 single cells are deposited in separate positions on a
slide and analyzed individually. Using single cell PCR, deposited cells can be
“typed” using epithelial antigens, CK, specific tumor genes, and miRNA.
Cells may be screened quantitatively for diagnostic and/or prognostic
RNA and DNA markers. The ratio of CTC to normal cells can be rapidly
determined in native samples of peripheral blood [112].
3.8. RNA in situ hybridizationIn situ hybridization (ISH) is a method that identifies CTC tumor-specific
mRNA in situ. ISH can simultaneously detect multiple transcripts using pro-
bes for different genes that may have the same recognition sequence for signal
amplification, thereby generating a “pooled” signal. Alternatively, multiple
and independent amplification signals may be used to simultaneously detect
species of target RNA with different signals [163,198]. Two ISH-based sys-
tems have been developed.
203Circulating Markers of Breast Cancer
3.8.1 CTCscopeTheCTCscope (Advanced Cell Diagnostics, Inc., Hayward, CA, USA) uses
a panel of mRNA epithelial and tumor markers to detect individual viable
CTC in patients with metastatic breast cancer [199]. Following enrichment,
ISH is performed using a panCTC marker panel (CK5, CK6, CK8, CK14,
CK17, CK18, CK19, CK20, EPCAM, MUC1, VIM, TWIST, CDH2,
fibronectin 1 (FN1), and CD45). Data are evaluated using a computer algo-
rithm described by Bushnell et al. [200].
A sample is rated for CTC scoring if PBMC are stained positively with
CD45 indicating acceptable RNA integrity. CTC are identified by a strong
positive panCTC mRNA staining. CTC images are acquired with the
nuance multispectral imaging system (CRI, Cambridge, MA, USA), using
a combination of long-pass filters. Overlapping signals are separated by com-
parison to a reference library.
Using this approach, a trial was conducted in 45 patients with metastatic
breast cancer [199]. When compared to CellSearch, both techniques had
similar CTC sensitivity. CTCscope detected CTC in 47% of patients,
whereas CellSearch detected CTC in 51% of patients. Overall agreement
was 69% (33% positive and 36% negative).
3.8.2 RNAscopeRNAscope (Advanced Cell Diagnostics, Inc.) uses novel RNA ISH technol-
ogy with a probe design strategy that allows simultaneous signal amplification
and background suppression to achieve single-molecule visualization while
preserving cell morphology. RNAscope provides the opportunity to profile
single cell gene expression in situ, unlocking the full potential of RNA bio-
markers. The targeted molecular signature of every cell in a sample is revealed
and precisely measured.
The assay consists of target probes and a signal amplification system com-
posed of preamplifiers, amplifiers, and label probes. Following fixation, cells
are permeabilized using protease to allow probe access. The target probes
are standard oligonucleotides that are designed to hybridize as pairs, with each
pair creating a binding site for a preamplifier. The preamplifier is hybridized to
the target probes at a temperature that favors hybridization to target probe
pairs, but not individual target probes. This ensures that if unpaired target pro-
bes hybridize nonspecifically to a nonspecific RNA, no signal amplification
will occur. The amplifier is then hybridized to the preamplifier, and the label
probe, which is conjugated to either a chromogenic or fluorescent molecule,
is hybridized to the amplifier. The stained samples can then be visualized
under a standard bright field or fluorescent microscope [163].
204 Eunice López-Muñoz and Manuel Méndez-Montes
Each set of target probes spans a region of approximately 1 kb of the tar-
get RNA and hybridizes to 29 preamplifiers. Each preamplifier can hybrid-
ize to 20 amplifiers and each amplifier can hybridize to 20 label probes. This
results in over 8000 fluorescent molecules spanning just 1 kb of RNA [163].
3.8.3 Quantigene ViewRNAQuantigene ViewRNA system is an RNA ISH assay (Affymetrix, Fremont,
CA, USA). It enables multiplex, single-molecule RNA sensitivity and spec-
ificity by using simultaneous branched DNA (bDNA) signal amplification
and background suppression.
In combinationwith ScreenCell isolation, this approach integrates rare cell
isolation and molecular characterization [121]. Peripheral blood is processed
using a ScreenCell isolation device. CTC are transferred to a 24-well cell cap-
ture plate for enumeration/characterization using QuantiGene ViewRNA
ISHCell Assay. A target-specific probe set containing 20 oligonucleotide pairs
hybridizes to the target RNA. An oligo pair hybridization event is essential for
signal amplification via sequential hybridization. Each fully assembled ampli-
fication structure is contained within 40–50 bp of target RNAwith the capac-
ity for 400-fold signal amplification. Following the QuantiGene ViewRNA
ISHCell Assay, processed filters are mounted to standardmicroscope slides for
imaging [164–166].
3.9. MicroarrayAmicroarray consists of a support onto which hundreds to thousands of dif-
ferent molecular reporter probes are attached or immobilized at fixed loca-
tions in two- or three-dimensional format. Large numbers of targets are
rapidly and efficiently screened using this approach. Microarray probes
can be antibody- or nucleic acid-based [201].
DNA microarrays have been used in numerous applications including
gene expression [202], cell analysis [203], DNA sequencing/fragment
[204], protein [205–207], and genome-wide single-nucleotide polymor-
phism genotyping [208]. Because of this flexibility, microarrays are partic-
ularly useful in the molecular characterization of CTC. Microarray
expression studies, however, require 1–2 mg mRNA from large numbers
of cells (�106–107 cells), thus limiting its application.
3.9.1 Pico profilingPico profiling uses RNA isolation from very small cell populations, cDNA
synthesis and amplification, labeling of cDNA using biotin, and hybridiza-
tion to expression arrays (Affymetrix, Santa Clara, CA, USA). Whole
205Circulating Markers of Breast Cancer
transcriptome amplification (WTA) is used to generate sufficient cDNA for
microarray expression analysis [209]. WTA is a chemistry based on Tra-
nsplex, a method that generate large amounts of cDNA from nanograms
of RNA based on logarithmic amplification. Transplex performs fragmen-
tation before amplification to overcome differences in amplification effi-
ciencies due to different lengths of transcripts.
This approach requires only 10 cells to generate a secure expression pro-
file. Data are comparable with those produced by standard techniques from
hundreds to millions of cells [209].
3.9.2 Multiplexed PCR-coupled liquid bead arrayPBMC, obtained by gradient centrifugation with Ficoll-Paque PLUS (GE
Healthcare), are subsequently enriched with Immunomagnetic BerEP4-
coated Dynabeads (CELLection Epithelial Enrich, Invitrogen). CTC and
PBMC RNA is then isolated using TRIzol reagent (Invitrogen). Reverse
transcription and PCRmultiplex are performed using primers designed with
SuperScript First Strand Synthesis System for RT-PCR (Invitrogen).
Markou et al. [210] conducted trials using six genes (CK19, ERBB2,
SCGB2A2, MAGEA3, TWIST1, and hydroxymethylbilane synthase). Bio-
tinylated amplicons were hybridized to probe-containing fluorescent micro-
spheres and incubated with streptavidin-phycoerythrin. Captured amplicons
were quantified and beads decoded by Luminex flow cytometry [210].
The results obtained using this approach were comparable to those
obtained using RT-qPCR. Gene expression was not detected in healthy
subjects [185]. CK19, ERBB2, MAGE-A3, SCGB2A2, and TWIST1 were
detected in 27%, 13%, 19%, 11%, and 31% of patients with operable breast
cancer and 65%, 20%, 30%, 20%, and 20% of patients withmetastatic disease,
respectively. In comparison to single trials of RT-qPCR, CK19 has a con-
cordance of 82%, ERBB2 gene of 85%, and TWIST1 of 79%.
Characterization of CTC in real time provides a unique approach to
evaluate tumor phenotype during its disease course [210].
4. MARKERS
Tumor and CTCmarkers are biochemical substances produced by the
cancer as well as those factors produced by the host in response to tumor.
CK has become the best CTC marker for epithelial tumors. Although
the use of multiple markers enhances our ability to detect CTC, none are
ideal due to tumor heterogeneity (Table 6.1).
Table 6.1 CTC markersMarkers used withcytometric techniques Markers used with nucleic acid techniques
CK [187,211–213] ANKRD30A (ankyrin repeat domain 30A) [214,215]
EPCAM [134,216,217] B305D (antigen B305D) [214,215]
ERBB2 [123,218,219] b-HCG (chorionic gonadotrophin) [220–222]
uPAR (plasminogen
activator receptor) [223]
Bmi-1 (B lymphoma Mo-MLV insertion region 1
homolog) [224,225]
CTS [226] c-MET (proto-oncogene met) [185,220,227]
MUC1 [226] CEA [228]
IGF-IR (insulin-like
growth factor 1 receptor)
[229]
CKs [181,185,213,230–233]
EGFR [234–236]
EGP2, epithelial glycoprotein 2 [130]
EPCAM [130,237,238]
GABRP, GABA A receptor pi [214,215]
GalNAc-T (UDP-N-acetyl-D-galactosamine) [220,239]
ERBB2 [184,228,240,241]
MAGEA3 [220]
MUC1 [128,225,242]
MUCL1 (mucin-like 1) [243]
PIP (prolactin-induced protein) [228,244]
PTHrP (parathyroid hormone receptor protein) [245]
SPDEF (SAM pointed domain containing ETS
transcription factor) [244]
TTF1 (trefoil factor 1) [237,238]
TTF3 (trefoil factor 3) [237,238]
SCGB2A1 [228,239,244,246–249]
SERPINB5 [185,250–254]
BIRC5 [254]
miRNA [113,114,255]
206 Eunice López-Muñoz and Manuel Méndez-Montes
207Circulating Markers of Breast Cancer
5. CLINICAL UTILITY
The presence of occult tumor cells is the major cause of recurrent met-
astatic disease in patients with resection of the primary tumor [256]. Detec-
tion of early recurrence allows for timely initiation of treatment to increase
survival and improve quality of life [160,257–259].
A small percentage (<0.01%) of CTC can successfully start metastatic
colonies. As such, identification of CTC or micrometastatic foci presents
an opportunity for early therapeutic intervention and better risk stratifica-
tion. CTC detection aids diagnosis, prognosis, assessment of recurrence,
and response to anticancer therapy [183].
The prognostic value of CTC may be superior to traditional indices
including site of metastasis (visceral vs. nonvisceral) and estrogen receptor
status. Characterization of CTC provides more information than conven-
tional image methods such as computed tomography and positron emission
tomography to assessing treatment response [135,260].
CTC detection represents a unique minimally invasive approach that
provides real time information on current disease state [261]. Characteriza-
tion of CTC elucidates underlying mechanisms of metastasis and drug resis-
tance, identification of novel diagnostic markers, therapeutic targets, risk
stratification, and development of individualized therapy [262,263].
CTC detection was correlated with decreased progression-free and
overall survival in early [182,184,231,239,264] and advanced breast
cancer [135].
5.1. Early breast cancerThe presence of breast cancer cells or metastatic foci in lymph nodes and bone
marrow is associatedwith poor prognosis in early stage breast cancer [1]. Some
patients with early stage disease developedmetastases following primary tumor
removal. This finding suggested that minimal residual disease could spread and
subsequently develop metastases in distant organs [88]. Stathopoulou et al.
[231] found that CK19 mRNA was an independent prognostic factor for
progression-free and overall survival in both node-negative and node-positive
patients with stage I and II breast cancer. CK19 mRNA-positive cells were
detected in 29.7% of patients with reduced progression-free (p¼0.0007)
and overall survival (p¼0.01).
Xenidis et al. [182] confirmed that detection of CK19 mRNA-positive
cells was predictive of adverse clinical outcome. Adverse prognosis was
208 Eunice López-Muñoz and Manuel Méndez-Montes
associated with ERBB2 negative and triple-negative tumors, but not those
with positive estrogen receptor [184]. CTC count at 4 weeks after chemo-
therapy initiation was a more robust predictor of survival than imaging [265].
Positive CTC ERBB2 mRNA was found in 21% of patients with stage
I and II breast cancer after adjunct chemotherapy [241]. Xenidis et al. [266]
reported that CK19 mRNA-positive CTC were found in 32.7% of patients
at the end of chemotherapy. CTC detection was significantly associated with
increased risk of recurrence and death [241].
The prognostic value of three CTC markers (SCGB2A2, ERBB2, and
CK19) was evaluated in 175 breast cancer patients (stage I–III) before adju-
vant therapy initiation [239]. Cells positive for CK19, MGB1, and ERBB2
mRNA were detected in 41%, 8%, and 29% of patients, respectively. CK19
and SCGB2A2 positivity was associated with shorter disease-free survival
(p<0.001 and p¼0.001) and overall survival (p¼0.044 and 0.034), respec-
tively. ERBB2 mRNA positivity was associated with a shorter disease-free
survival (p<0.001) but not overall survival.
Si et al. [113] suggested that the level of circulating miR-21 andmiR-92a
had predictive value for tumor size and lymph node metastasis in breast
cancer.
Madhavan et al. [114] reported that combinations of miRNA and miR-
200b alone were prognostic for progression-free and overall survival in met-
astatic breast cancer.
5.2. Metastatic breast cancerCTC in peripheral blood in metastatic cancer is an independent marker of
therapeutic efficacy and prognosis. Some studies have evaluated the use of
CTC to identify patients resistant to chemotherapy, so early adjustments
to therapy may be made [260,267]. Three studies independently reported
that high CTC was suggestive of resistance to chemotherapy and that
patients should be changed to a new treatment strategy [268–270].
High numbers of peripheral blood CTC in metastatic breast cancer was
associated with poorer prognosis irrespective of metastasis site, type of ther-
apy and time to recurrence [135,260]. CTC positivity rate was associated
with recently diagnosed metastatic breast cancer (52%) and those receiving
treatment (48%) [135].
Xenidis et al. [266] showed that CK19 mRNA-positive CTC was sig-
nificantly associated with relapse (p<0.001) and disease-related death
(p<0.001). CK19 mRNA-positive CTC was associated with shorter
209Circulating Markers of Breast Cancer
disease-free survival rates (p<0.001) and a shorter overall survival
(p¼0.001) rate following chemotherapy.
Liu et al. [271] reported that metastatic breast cancer patients with more
than five CTC (baseline, 3–7 weeks and 7–9 weeks after initiation of ther-
apy) were associated with a shorter progression-free survival and a higher
incidence of radiographic progression versus patients with less than
five CTC.
De Giorgi et al. [272,273] compared the prognostic value of CTC at
9–12 weeks after initiating treatment and during systemic therapy, with
FDG-PET/CT in 102 metastatic cancer patients. This study found that
CTC determination could safely predict prognosis.
In a 32-month follow-up, the SUCCESS trial detected more than one
CTC in 9.4% of breast cancer with lymph node metastases prior to chemo-
therapy and 8.7% of patients after chemotherapy [274]. The presence of
more than one CTC before treatment was prognostic of disease-free survival
(p<0.0001) and overall survival (p¼0.023). The persistence of more than
one CTC after chemotherapy was associated with a short duration of
disease-free survival (p¼0.054).
Although several studies have shown the potential usefulness of CTC in
patients with breast cancer, the clinical practice guidelines from the American
Society of Clinical Oncology do not recommend it use for clinical decision-
making. Interestingly, the Southwest Oncology Group Trial S0500 found
DTCweremore easily detected andmore prognostic than CTC [275]. Given
the invasiveness of DTC sampling, CTC detection methodology remains a
promising alternative.
6. CONCLUSION
Analysis ofCTC typically requires a two-step procedure because of their
rarity: enrichment and detection. As such, development of a single step meth-
odology is highly desirable. Unfortunately, there is no standardized approach
forCTCdetectionat this time.Detection ratesvaryconsiderablybasedon tech-
niqueemployedand typeof cancer.Despite tumorheterogeneity, geneexpres-
sion profiles have sufficient sensitivity and specificity to provide a unique and
promising approach for detection and characterization of CTC.
In addition, tumors can transform their cellular characteristics with pro-
gressive loss of epithelial surface markers (EPCAM and CK) and develop-
ment of mesenchymal characteristics (VIM and CDH). These changes
may reflect enhanced aggressiveness. As such, so techniques designed to
210 Eunice López-Muñoz and Manuel Méndez-Montes
detect these changes are critically important in tumor assessment. It is also
likely that gene expression required for metastatic capacity and dissemina-
tion route are different.
Detection of early breast cancer in its early stages is particularly important
for efficacy of treatment and long-term survival. In contrast to traditional
approaches, the use of CTC provides a unique alternative to assess tumor
characteristics. It is clear from the preceding discussion that further research
in this field is warranted. Amore thorough understanding of CTCwill likely
elucidate mechanisms of disease propagation and dissemination, especially in
breast cancer.
REFERENCES[1] S. Braun, K. Pantel, P. Muller, et al., Cytokeratin-positive cells in bone marrow and
survival of patients with stage I, II, or III breast cancer, N. Engl. J. Med. 342 (2000)525–533.
[2] R. Bernards, R.A. Weinberg, A progression puzzle, Nature 418 (2002) 823.[3] H. Lin, M. Balic, S. Zheng, R. Datar, R.J. Cote, Disseminated and circulating tumor
cells: role in effective cancer management, Crit. Rev. Oncol. Hematol. 77 (2011)1–11.
[4] K. Pantel, R.H. Brakenhoff, Dissecting the metastatic cascade, Nat. Rev. Cancer 4(2004) 448–456.
[5] C.A. Klein, Parallel progression of primary tumours and metastases, Nat. Rev. Cancer9 (2009) 302–312.
[6] J. Engel, R. Eckel, J. Kerr, et al., The process of metastasisation for breast cancer, Eur. J.Cancer 39 (2003) 1794–1806.
[7] T. Fehm, N. Krawczyk, E.F. Solomayer, et al., ER alpha-status of disseminatedtumour cells in bone marrow of primary breast cancer patients, Breast Cancer Res.10 (2008) R76.
[8] N. Krawczyk, M. Banys, H. Neubauer, et al., HER2 status on persistent disseminatedtumor cells after adjuvant therapy may differ from initial HER2 status on primarytumor, Anticancer Res. 29 (2009) 4019–4024.
[9] M. Banys, I. Gruber, N. Krawczyk, et al., Hematogenous and lymphatic tumor celldissemination may be detected in patients diagnosed with ductal carcinoma in situof the breast, Breast Cancer Res. Treat. 131 (2012) 801–808.
[10] I.J. Fidler, The pathogenesis of cancer metastasis: the “seed and soil” hypothesisrevisited, Nat. Rev. Cancer 3 (2003) 453–458.
[11] E. Comen, L. Norton, Self-seeding in cancer, Recent Results Cancer Res. 195 (2012)13–23.
[12] M.Y. Kim, T. Oskarsson, S. Acharyya, et al., Tumor self-seeding by circulating cancercells, Cell 139 (2009) 1315–1316.
[13] A.D. Hartkopf, M. Banys, N. Krawczyk, et al., Bone marrow versus sentinel lymphnode involvement in breast cancer: a comparison of early hematogenous and early lym-phatic tumor spread, Breast Cancer Res. Treat. 131 (2012) 501–508.
[14] S. Valastyan, R.A. Weinberg, Tumor metastasis: molecular insights and evolving par-adigms, Cell 147 (2011) 275–292.
[15] B. Vogelstein, K.W. Kinzler, The multistep nature of cancer, Trends Genet. 9 (1993)138–141.
211Circulating Markers of Breast Cancer
[16] L.D. Wood, D.W. Parsons, S. Jones, et al., The genomic landscapes of human breastand colorectal cancers, Science 318 (2007) 1108–1113.
[17] M. Egeblad, E.S. Nakasone, Z.Werb, Tumors as organs: complex tissues that interfacewith the entire organism, Dev. Cell 18 (2010) 884–901.
[18] M. Egeblad, M.G. Rasch, V.M. Weaver, et al., Dynamic interplay betweenthe ollagen scaffold and tumor evolution, Curr. Opin. Cell Biol. 22 (2010) 697–706.
[19] K.V. Nguyen-Ngoc, K.J. Cheung, A. Brenot, et al., ECM microenvironment regu-lates collective migration and local dissemination in normal and malignant mammaryepithelium, Proc. Natl. Acad. Sci. U.S.A. 109 (2012) E2595–E2604.
[20] C.A. Whittaker, K.F. Bergeron, J. Whittle, B.P. Brandhorst, R.D. Burke,R.O. Hynes, The echinoderm adhesome, Dev. Biol. 1 (2006) 252–266.
[21] S. Ozbek, P.G. Balasubramanian, R. Chiquet-Ehrismann, P.P. Tucker, J.C. Adams,The evolution of extracellular matrix, Mol. Biol. Cell 21 (2010) 4300–4305.
[22] P. Lu, V.M. Weaver, Z. Werb, The extracellular matrix: a dynamic niche in cancerprogression, J. Cell Biol. 196 (2012) 395–406.
[23] R.J. Petrie, A.D. Doyle, K.M. Yamada, Ramdom versus directionally persistent cellmigration, Nat. Rev. Mol. Cell Biol. 10 (2009) 538–549.
[24] E.T. Roussos, J.S. Condeelis, A. Patsialou, Chemotaxis in cancer, Nat. Rev. Cancer11 (2011) 573–587.
[25] S. Valastyan, F. Reinhardt, N. Benaich, et al., A pleiotropically acting microRNAmiR-31, inhibits breast cancer metastasis, Cell 137 (2009) 1032–1046.
[26] D.S. Tan, R. Agarwal, S.B. Kaye, Mechanisms of transcoelomic metastasis in ovariancancer, Lancet Oncol. 7 (2006) 925–934.
[27] H. Yamaguchi, Pathological roles of invadopodia in cancer invasion and metastasis.Eur. J. Cell Biol. 91 (2012) 902–907, http://dx.doi.org/10.1016/j.ejcb.2012.04.005.
[28] H. Sibony-Benyamini, H. Gil-Henn, Invadopodia: the leading force. Eur. J. Cell Biol.91 (2012) 896–901, http://dx.doi.org/10.1016/j.ejcb.2012.04.0051.
[29] D. Hanahan, R.A. Weinberg, Hallmarks of cancer: the next generation, Cell 144(2011) 646–674.
[30] K. Polyak, R.A. Weinberg, Transitions between epithelial and mesenchymalstates: acquisition of malignant and stem cell traits, Nat. Rev. Cancer 9 (2009)265–273.
[31] M. Sabbah, S. Emami, G. Redeulih, et al., Molecular signature and therapeutic per-spective of the epithelial-to-mesenchymal transitions in epithelial cancers, DrugResist. Updat. 11 (2008) 123–151.
[32] J. Yang, R.A.Weinberg, Epithelial-mesenchymal transition: at the crossroads of devel-opment and tumor metastasis, Dev. Cell 14 (2008) 818–829.
[33] C. Foroni, M. Broggini, D. Generali, G. Damia, Epithelial-mesenchymal transitionand breast cancer: role, molecular mechanisms and clinical impact, Cancer Treat.Rev. 38 (2012) 689–697.
[34] I. Ota, X.Y. Li, Y. Hu, S.J. Weiss, Induction of a MT1-MMP and MT2-MMPdependent basement membrane transmigration program in cancer cells by Snail1,Proc. Natl. Acad. Sci. U.S.A. 106 (2009) 20318–20323.
[35] H. Peinado, F. Marin, E. Cubillo, H.J. Stark, N. Fusenig, M.A. Nieto, A. Cano, Snailand E47 repressors of E-cadherin induce distinct invasive and angiogenic propertiesin vivo, J. Cell Sci. 117 (2004) 2827–2839.
[36] J.M. Drake, G. Strohbehn, T.B. Bair, J.G. Moreland, M.D. Henry, ZEB1 enhancestransendothelial migration and represses the epithelial phenotype of prostate cancercells, Mol. Biol. Cell 20 (2009) 2207–2217.
[37] T. Sun, N. Zhao, X.L. Zhao, et al., Expression and functional significance of Twist1 inhepatocellular carcinoma: its role in vasculogenic mimicry, Hepatology 51 (2010)545–556.
212 Eunice López-Muñoz and Manuel Méndez-Montes
[38] G. van der Plujim, Epithelial plasticity, cancer stem cells and bone formation, Bone 48(2011) 37–43.
[39] A. Barrallo-Gimeno, M.A. Nieto, The Snail genes as inducers of cell movement andsurvival: implications in development and cancer, Development 132 (2005)3151–3161.
[40] A.E. Sayan, T.R. Griffiths, R. Pal, et al., SIP1 protein protects cells from DNAdamage-induced apoptosis and has independent prognostic value in bladder cancer,Proc. Natl. Acad. Sci. U.S.A. 106 (2009) 14884–14889.
[41] A. Puisieux, S. Valsesia-Wittmann, Cancer cells escape from failsafe programs in a sim-ple Twist, Bull. Cancer 93 (2006) 251–256.
[42] M.A. Smit, T.R. Geiger, J.Y. Song, I. Gitelman, D.S. Peeper, A Twist-Snail axis crit-ical for TrkB-induced epithelial-mesenchymal transition-like transformation, anoikisresistance, and metastasis, Mol. Cell. Biol. 29 (2009) 3722–3737.
[43] U. Burk, J. Schubert, U. Wellner, et al., A reciprocal repression between ZEB1 andmembers of the miR-200 family promotes EMT and invasion in cancer cells, EMBORep. 9 (2008) 582–589.
[44] C.A. Gebeshuber, K. Zatloukal, J. Martinez, MiR-29a suppresses tristetraprolin,which is a regulator of epithelial polarity and metastasis, EMBO Rep. 10 (2009)400–405.
[45] P.A. Gregory, A.G. Bert, E.L. Paterson, et al., The miR-200 family and miR-205 reg-ulate epithelial to mesenchymal transition by targeting ZEB1 and SIP1, Nat. Cell Biol.10 (2008) 593–601.
[46] M. Kajita, K.N. McClinic, P.A.Wade,Wade, Aberrant expression of the transcriptionfactors snail and slug alters the response to genotoxic stress, Mol. Cell. Biol. 24 (2004)7559–7566.
[47] G.Z. Cheng, J. Chan, Q. Wang, W. Zhang, C.D. Sun, L.H. Wang, Twist transcrip-tionally up-regulates AKT2 in breast cancer cells leading to increased migration, inva-sion, and resistance to paclitaxel, Cancer Res. 67 (2007) 1979–1987.
[48] E.T. Roussos, Z. Keckesova, J.D. Haley, D.M. Epstein, R.A. Weinberg,J.S. Condeelis, AACR special conference on epithelial-mesenchymal transition andcancer progression and treatment, Cancer Res. 70 (2010) 7360–7364.
[49] A. Gradilone, C. Raimondi, C. Nicolazzo, et al., Circulating tumor cells lackingcytokeratin in breast cancer: the importance of being mesenchymal, J. Cell. Mol.Med. 15 (2011) 1066–1070.
[50] M. Mego, S.A. Mani, M. Cristofanilli, Molecular mechanisms of metastasis in breastcancer-clinical applications, Nat. Rev. Clin. Oncol. 7 (2010) 693–701.
[51] W.T. Chen, Proteolytic activity of specialized surface protrusions formed at rosettecontact sites of transformed cells, J. Exp. Zool. 251 (1989) 167–185.
[52] H. Yamamoto, M. Sutoh, S. Hatakeyama, et al., Requirement for FBP17 ininvadopodia formation by invasive bladder tumor cells, J. Urol. 185 (2011)1930–1938.
[53] S.S. Stylli, A.H. Kaye, P. Lock, Invadopodia: at the cutting edge of tumour invasion,J. Clin. Neurosci. 15 (2008) 725–737.
[54] M. Schoumacher, R.D. Goldman, D. Louvard, D.M. Vignjevic, Actin, microtubules,and vimentin intermediate filaments cooperate for elongation of invadopodia, J. CellBiol. 189 (2010) 541–556.
[55] P.J. Coopman,M.T. Do, E.W. Thompson, S.C.Mueller, Phagocytosis of cross-linkedgelatin matrix by human breast carcinoma cells correlates with their invasive capacity,Clin. Cancer Res. 4 (1998) 507–515.
[56] H. Yamaguchi, M. Lorenz, S. Kempiak, et al., Molecular mechanisms ofinvadopodium formation: the role of the N-WASP-Arp2/3 complex pathway andcofilin, J. Cell Biol. 168 (2005) 441–452.
213Circulating Markers of Breast Cancer
[57] H. Yamaguchi, S. Yoshida, E. Muroi, et al., Phosphoinositide 3-kinase signaling path-way mediated by p110a regulates invadopodia formation, J. Cell Biol. 193 (2011)1275–1288.
[58] H. Yamaguchi, J. Wyckoff, J. Condeelis, Cell migration in tumors, Curr. Opin. CellBiol. 17 (2005) 559–564.
[59] P. Friedl, S. Alexander, Cancer invasion and the microenvironment: plasticity and rec-iprocity, Cell 147 (2011) 992–1009.
[60] O. Tolde, D. Rosel, P. Vesely, P. Folk, J. Brabek, The structure of invadopodia in acomplex 3D environment, Eur. J. Cell Biol. 89 (2010) 674–680.
[61] A. Parekh, N.S. Ruppender, K.M. Branch, et al., Sensing and modulation ofinvadopodia across a wide range of rigidities, Biophys. J. 100 (2011) 573–582.
[62] M.A. Eckert, T.M. Lwin, A.T. Chang, et al., Twist1-induced invadopodia formationpromotes tumor metastasis, Cancer Cell 19 (2011) 372–386.
[63] B. Gligorijevic, J. Wyckoff, H. Yamaguchi, Y. Wang, E.T. Roussos, J. Condeelis,N-WASP-mediated invadopodium formation is involved in intravasation and lungmetastasis of mammary tumors, J. Cell Sci. 125 (2012) 724–734.
[64] M. Morishige, S. Hashimoto, E. Ogawa, et al., GEP100 links epidermal growth factorreceptor signalling to Arf6 activation to induce breast cancer invasion, Nat. Cell Biol.10 (2008) 85–92.
[65] V. Muralidharan-Chari, H. Hoover, J. Clancy, et al., ADP-ribosylation factor 6 reg-ulates tumorigenic and invasive properties in vivo, Cancer Res. 69 (2009) 2201–2209.
[66] W. Wang, G. Mouneimne, M. Sidani, et al., The activity status of cofilin is directlyrelated to invasion, intravasation, and metastasis of mammary tumors, J. Cell Biol.173 (2006) 395–404.
[67] U. Philippar, E.T. Roussos, M.Oser, et al., AMena invasion isoform potentiates EGF-induced carcinoma cell invasion and metastasis, Dev. Cell 15 (2008) 813–828.
[68] S.Y. Li, M. Rong, F. Grieu, B. Iacopetta, PIK3CAmutations in breast cancer are asso-ciated with poor outcome, Breast Cancer Res. Treat. 96 (2006) 91–95.
[69] L. Buday, J. Downward, Roles of cortactin in tumor pathogenesis, Biochim. Biophys.Acta 1775 (2007) 263–273.
[70] E. Burgermeister, M. Liscovitch, C. Rocken, R.M. Schmid, M.P. Ebert, Caveats ofcaveolin-1 in cancer progression, Cancer Lett. 268 (2008) 187–201.
[71] L.M. Machesky, A. Li, Fascin: invasive filopodia promoting metastasis, Commun.Integr. Biol. 3 (2010) 263–270.
[72] M. Seiki, Membrane-type 1 matrix metalloproteinase: a key enzyme for tumor inva-sion, Cancer Lett. 194 (2003) 1–11.
[73] I. Ayala, G. Giacchetti, G. Caldieri, Faciogenital dysplasia protein Fgd1 regulatesinvadopodia biogenesis and extracellular matrix degradation and is up-regulated inprostate and breast cancer, Cancer Res. 69 (2009) 747–752.
[74] S.S. Stylli, S.T. I, A.H. Kaye, P. Lock, Prognostic significance of Tks5 expression ingliomas, J. Clin. Neurosci. 19 (2012) 436–442.
[75] M. Oser, A. Dovas, D. Cox, J. Condeelis, Nck1 and Grb2 localization patterns candistinguish invadopodia from podosomes, Eur. J. Cell Biol. 90 (2011) 181–188.
[76] B. Dirat, L. Bochet,M.Dabek, et al., Cancer-associated adipocytes exhibit an activatedphenotype and contribute to breast cancer invasion, Cancer Res. 71 (2011)2455–2465.
[77] S. Giampieri, C. Manning, S. Hooper, L. Jones, C.S. Hill, E. Sahai, Localized andreversible TGF beta signaling switches breast cancer cells from cohesive to single cellmotility, Nat. Cell Biol. 11 (2009) 1287–1296.
[78] J.B. Wyckoff, Y. Wang, E.Y. Lin, J.F. Li, et al., Direct visualization of macrophage-assisted tumor cell intravasation in mammary tumors, Cancer Res. 67 (2007)2649–2656.
214 Eunice López-Muñoz and Manuel Méndez-Montes
[79] G.P. Gupta, D.X. Nguyen, A.C. Chiang, et al., Mediators of vascular remodelingco-opted for sequential steps in lung metastasis, Nature 446 (2007) 765–770.
[80] P. Carmeliet, R.K. Jain, Principles and mechanisms of vessel normalization for cancerand other angiogenic diseases, Nat. Rev. Drug Discov. 10 (2011) 417–427.
[81] W. Guo, F.G. Giancotti, Integrin signaling during tumour progression, Nat. Rev.Mol. Cell Biol. 5 (2004) 816–826.
[82] Z.T. Schafer, A.R. Grassian, L. Song, et al., Antioxidant and oncogene rescue of met-abolic defects caused by loss of matrix attachment, Nature 461 (2009) 109–113.
[83] S. Douma, T. Van Laar, J. Zevenhoven, R. Meuwissen, E. Van Garderen,D.S. Peeper, Suppression of anoikis and induction of metastasis by the neurotrophicreceptor TrkB, Nature 430 (2004) 1034–1039.
[84] T.W. Remmerbach, F. Wottawah, J. Dietrich, B. Lincoln, C. Wittekind, J. Guck,Oral cancer diagnosis by mechanical phenotyping, Cancer Res. 69 (2009) 1728–1732.
[85] J.A. Joyce, J.W. Pollar, Microenviromental regulation of metastasis, Nat. Rev. Cancer9 (2009) 239–252.
[86] M.A. Matrone, R.A. Whipple, K. Thompson, et al., Metastatic breast tumors expressincreased tau, which promotes microtentacle formation and the reattachment ofdetached breast tumor cells, Oncogene 29 (2010) 3217–3227.
[87] T. Korb, K. Schluter, A. Enns, et al., Integrity of actin fibers and microtubules influ-ences metastatic tumor cell adhesion, Exp. Cell Res. 299 (2004) 236–247.
[88] K. Pantel, C. Alix-Panabieres, S. Riethdorf, Cancer micrometastases, Nat. Rev. Clin.Oncol. 6 (2009) 339–351.
[89] P. Friedl, K. Wolf, Tumor-cell invasion and migration: diversity and escape mecha-nisms, Nat. Rev. Cancer 3 (2003) 362–374.
[90] G.P. Gupta, J. Massague, Cancer metastasis: building a framework, Cell 127 (2006)679–695.
[91] D.M. Brown, E. Ruoslahti, Metadherin, a cell surface protein in breast tumors thatmediates lung metastasis, Cancer Cell 5 (2004) 365–374.
[92] X. Lu, Y. Kang, Organotropism of breast cancer metastasis, J. Mammary Gland Biol.Neoplasia 12 (2007) 153–162.
[93] A.J. Minn, Y. Kang, I. Serganova, et al., Distinct organ specific metastatic potential ofindividual breast cancer cells and primary tumors, J. Clin. Invest. 115 (2005) 44–55.
[94] A. Muller, B. Homey, H. Soto, et al., Involvement of chemokine receptors in breastcancer metastasis, Nature 410 (2001) 50–56.
[95] J. Wang, R. Loberg, R.S. Taichman, The pivotal role of cxcl12 (sdf-1)/cxcr4 axis inbone metastasis, Cancer Metastasis Rev. 25 (2006) 573–587.
[96] G. Lorusso, C. Ruegg, New insights into the mechanisms of organ-specific breast can-cer metastasis, Semin. Cancer Biol. 22 (2012) 226–233.
[97] D.X. Nguyen, P.D. Bos, J. Massague, Metastasis: from dissemination to organ-specificcolonization, Nat. Rev. Cancer 9 (2009) 274–284.
[98] T. Shibue, R.A. Weinberg, Metastatic colonization: settlement, adaptation and prop-agation of tumor cells in a foreign tissue environment, Semin. Cancer Biol. 21 (2011)99–106.
[99] M. Bockhorn, R.K. Jain, L.L. Munn, Active versus passive mechanisms in metastasis:do cancer cells crawl into vessels, or are they pushed? Lancet Oncol. 8 (2007) 444–448.
[100] D. Padua, X.H. Zhang, Q.Wang, et al., TGFbeta primes breast tumors for lungmetas-tasis seeding through angiopoietin-like 4, Cell 133 (2008) 66–77.
[101] S. Weis, J. Cui, L. Barnes, D. Cheresh, Endothelial barrier disruption by VEGF-mediated Src activity potentiates tumor cell extravasation and metastasis, J. Cell Biol.167 (2004) 223–229.
[102] Y. Huang, N. Song, Y. Ding, et al., Pulmonary vascular destabilization in thepremetastatic phase facilitates lung metastasis, Cancer Res. 69 (2009) 7529–7537.
215Circulating Markers of Breast Cancer
[103] S. Hiratsuka, S. Goel, W.S. Kamoun, et al., Endothelial focal adhesion kinase mediatescancer cell homing to discrete regions of the lungs via E-selectin up regulation, Proc.Natl. Acad. Sci. U.S.A. 108 (2011) 3725–3730.
[104] G.P. Gupta, A.J. Minn, Y. Kang, et al., Identifying site-specific metastasis genes andfunctions, Cold Spring Harb. Symp. Quant. Biol. 70 (2005) 149–158.
[105] D.X. Nguyen, J. Massague, Genetic determinants of cancer metastasis, Nat. Rev.Genet. 8 (2007) 341–352.
[106] S. Paget, The distribution of secondary growths in cancer of the breast, Lancet 133(1889) 571–573.
[107] N. Sethi, Y. Kang, Unravelling the complexity of metastasis-molecular understandingand targeted therapies, Nat. Rev. Cancer 11 (2011) 735–748.
[108] P.E. Goss, A.F. Chambers, Does tumour dormancy offer a therapeutic target? Nat.Rev. Cancer 10 (2010) 871–877.
[109] P.S. Steeg, D. Theodorescu, Metastasis: a therapeutic target for cancer, Nat. Clin.Pract. Oncol. 5 (2008) 206–219.
[110] J.Y. Pierga, C. Bonneton, A. Vincent-Salomon, et al., Clinical significance of immu-nocytochemical detection of tumor cells using digital microscopy in peripheral bloodand bone marrow of breast cancer patients, Clin. Cancer Res. 10 (2004) 1392–1400.
[111] W.H. Redding, R.C. Coombes, P. Monaghan, et al., Detection of micrometastases inpatients with primary breast cancer, Lancet 2 (1983) 1271–1274.
[112] M. Alunni-Fabbroni, M.T. Sandri, Circulating tumour cells in clinical practice:methods of detection and possible characterization, Methods 50 (2010) 289–297.
[113] H. Si, X. Sun, Y. Chen, Y. Cao, S. Chen, H. Wang, C. Hu, Circulating microRNA-92a and microRNA-21 as novel minimally invasive biomarkers for primary breast can-cer, J. Cancer Res. Clin. Oncol. 139 (2013) 223–229. http://link.springer.com/article/10.1007%2Fs00432-012-1315-y.
[114] D. Madhavan, M. Zucknick, M. Wallwiener, et al., Circulating miRNAs as surrogatemarkers for circulating tumor cells and prognostic markers in metastatic breast cancer,Clin. Cancer Res. 18 (2012) 5972–5982.
[115] P. Cen, X. Ni, J. Yang, D.Y. Graham, M. Li, Circulating tumor cells in the diagnosisand management of pancreatic cancer, Biochim. Biophys. Acta 1826 (2012) 350–356.
[116] M. Yu, S. Stott, M. Toner, S. Maheswarran, D.A. Haber, Circulating tumor cells:approaches to isolation and characterization, J. Cell Biol. 192 (2011) 373–382.
[117] Y.F. Sun, X.R. Yang, J. Zhou, S.J. Qiu, J. Fan, Y. Xu, Circulating tumor cells:advances in detection methods, biological issues, and clinical relevance, J. CancerRes. Clin. Oncol. 137 (2011) 1151–1173.
[118] G. Vona, A. Sabile, M. Louha, et al., Isolation by size of epithelial tumor cells: a newmethod for the immunomorphological and molecular characterization of circulatingtumor cells, Am. J. Pathol. 156 (2000) 57–63.
[119] R. Busch, D. Cesar, D. Higuera-Alhino, T. Gee, M.K. Hellerstein, J.M. McCune,Isolation of peripheral blood CD4(þ) T cells using RosetteSep and MACS for studiesof DNA turnover by deuterium labeling, J. Immunol. Methods 286 (2004) 97–109.
[120] G.M.Hayes, R. Busch, J. Voogt, et al., Isolation of malignant B cells from patients withchronic lymphocytic leukemia (CLL) for analysis of cell proliferation: validation of asimplified method suitable for multi-center clinical studies, Leuk. Res. 34 (2010)809–815.
[121] I. Desitter, B.S. Guerrouahen, N. Benali-Furet, et al., A new device for rapid isolationby size and characterization of rare circulating tumor cells, Anticancer Res. 31 (2011)427–442.
[122] R. Rosenberg, R. Gertler, J. Friederichs, et al., Comparison of two density gradientcentrifugation systems for the enrichment of disseminated tumor cells in blood, Cyto-metry 49 (2002) 150–158.
216 Eunice López-Muñoz and Manuel Méndez-Montes
[123] T.E. Witzig, B. Bossy, T. Kimlinger, et al., Detection of circulating cytokeratin-positive cells in the blood of breast cancer patients using immunomagnetic enrichmentand digital microscopy, Clin. Cancer Res. 8 (2002) 1085–1091.
[124] M. Trzpis, P.M. McLaughlin, L.M. de Leij, M.C. Harmsen, Epithelial cell adhesionmolecule: more than a carcinoma marker and adhesion molecule, Am. J. Pathol.171 (2007) 386–395.
[125] R. Gertler, R. Rosenberg, K. Fuehrer, M. Dahm, H. Nekarda, J.R. Siewert, Detec-tion of circulating tumor cells in blood using an optimized density gradient centrifu-gation, Recent Results Cancer Res. 162 (2003) 149–155.
[126] H. Iinuma, K. Okinaga, M. Adachi, et al., Detection of tumor cells in blood usingCD45 magnetic cell separation followed by nested mutant allele-specific amplificationof p53 and K-ras genes in patients with colorectal cancer, Int. J. Cancer 89 (2000)337–344.
[127] C. Siewert, M. Herber, N. Hunzelmann, et al., Rapid enrichment and detection ofmelanoma cells from peripheral blood mononuclear cells by a new assay combiningimmunomagnetic cell sorting and immunocytochemical staining, Recent ResultsCancer Res. 158 (2001) 51–60.
[128] P. de Cremoux, J.M. Extra, M.G. Denis, et al., Detection of MUC1-expressing mam-mary carcinoma cells in the peripheral blood of breast cancer patients by real-timepolymerase chain reaction, Clin. Cancer Res. 6 (2000) 3117–3122.
[129] S. Sleijfer, J.W. Gratama, A.M. Siewerts, J. Kraan, J.W. Martens, J.A. Foekens, Cir-culating tumour cell detection on its way to routine diagnostic implementation? Eur. J.Cancer 43 (2007) 2645–2650.
[130] M. Tewes, B. Aktas, A. Welt, et al., Molecular profiling and predictive value of cir-culating tumor cells in patients with metastatic breast cancer: an option for monitoringresponse to breast cancer related therapies, Breast Cancer Res. Treat. 115 (2009)581–590.
[131] A.A. Neurauter, M. Bonyhadi, E. Lien, et al., Cell isolation and expansion usingdynabeads, Adv. Biochem. Eng. Biotechnol. 106 (2007) 41–73.
[132] C.E. Peters, S.M. Woodside, A.C. Eaves, Isolation of subsets of immune cells,Methods Mol. Biol. 302 (2005) 95–116.
[133] B. Naume, E. Borgen, K. Beiske, et al., Immunomagnetic techniques for the enrich-ment and detection of isolated breast carcinoma cells in bone marrow and peripheralblood, J. Hematother. 6 (1997) 103–114.
[134] W.J. Allard, J. Matera, M.C.Miller, et al., Tumor cells circulate in the peripheral bloodof all major carcinomas but not in healthy subjects or patients with nonmalignant dis-eases, Clin. Cancer Res. 10 (2004) 6897–6904.
[135] M. Cristofanilli, G.T. Budd, M.J. Ellis, et al., Circulating tumor cells, disease progres-sion, and survival in metastatic breast cancer, N. Engl. J. Med. 351 (2004) 781–791.
[136] M. Cristofanilli, The biological information obtainable from circulating tumor cells,Breast 18 (2009) S38–S40.
[137] S. Nagrath, L.V. Sequist, S. Maheswaran, et al., Isolation of rare circulating tumourcells in cancer patients by microchip technology, Nature 450 (2007) 1235–1239.
[138] M.J. Schulz, V.N. Shanov, Y. Yun, Nanomedicine: Design of Particles, Sensors,Motors, Implants, Robots, and Devices, Artech House, London, 2009.
[139] S.L. Stott, C.H. Hsu, D.I. Tsukrov, Isolation of circulating tumor cells using amicorvortex-generating herringbone-chip, Proc. Natl. Acad. Sci. U.S.A. 107(2010) 18392–18397.
[140] L.R. Huang, E.C. Cox, R.H. Austin, J.C. Sturm, Continuous particle separationthrough deterministic lateral displacement, Science 304 (2004) 987–990.
[141] P.R.C. Gascoyne, X.B. Wang, Y. Huang, F.F. Becker, Dielectrophoretic separationof cancer cells from blood, IEEE Trans. Ind. Appl. 33 (1997) 670–678.
217Circulating Markers of Breast Cancer
[142] Y. Huang, X.B.Wang, F.F. Becker, P.R. Gascoyne, Introducing dielectrophoresis as anew force field for field-flow fractionation, Biophys. J. 73 (1997) 1118–1129.
[143] G.H. Markx, J. Rousselet, R. Pethig, DEP-FFF: field-flow fractionation using non-uniform electric fields, J. Liq. Chromatogr. Relat. Technol. 20 (1997) 2857–2872.
[144] R.L. Fleischer, Cancer filter deja vu, Science 318 (2007) 1864.[145] S. Lankiewicz, B.G. Rivero, O. Bocher, Quantitative real-time RT-PCR of dissem-
inated tumor cells in combination with immunomagnetic cell enrichment, Mol. Bio-technol. 34 (2006) 15–27.
[146] E. Andreopoulou, L.Y. Yang, K.M. Rangel, et al., Comparison of assay methods fordetection of circulating tumor cells in metastatic breast cancer: AdnaGen Adna TestBreastCancer Select/DetectTM versus Veridez Cell SearchTM system, Int. J. Cancer130 (2012) 1590–1597.
[147] T. Fehm, O. Hoffmann, B. Aktas, et al., Detection and characterization of circulatingtumor cells in blood of primary breast cancer patients by RT-PCR and comparison tostatus of bone marrow disseminated cells, Breast Cancer Res. 11 (2009) R59.
[148] S. Riethdorf, V. Muller, L. Zhang, et al., Detection and HER2 expression of circu-lating tumor cells: prospective monitoring in breast cancer patients treated in the neo-adjuvant GeparQuattro trial, Clin. Cancer Res. 16 (2010) 2634–2645.
[149] M. Pestrin, S. Bessi, F. Galardi, et al., Correlation of HER2 status between primarytumors and corresponding circulating tumor cells in advanced breast cancer patients,Breast Cancer Res. Treat. 118 (2009) 523–530.
[150] J.M. Reuben, B.N. Lee, C. Li, et al., Circulating tumor cells and biomarkers:impli-cations for personalized targeted treatments for metastasic breast cancer, Breast J. 16(2010) 327–330.
[151] J. Lu, T. Fan, Q. Zhao, et al., Isolation of circulating epithelial and tumor progenitorcells with an invasive phenotype from breast cancer patients, Int. J. Cancer 126 (2010)669–683.
[152] T. Kojima, Y. Hashimoto, Y.Watanabe, et al., A simple biological imaging, system fordetecting viable human circulating tumor cells, J. Clin. Invest. 119 (2009) 3172–3181.
[153] S.M. Fong, M.K. Lee, P.S. Adusumilli, K.J. Kelly, Fluorescence-expressing virusesallow rapid identification and separation of rare tumor cells in spiked samples of humanwhole blood, Surgery 146 (2009) 498–505.
[154] Y.K. Chung, J. Reboud, K.C. Lee, et al., An electrical biosensor for the detection ofcirculating tumor cells, Biosens. Bioelectron. 26 (2011) 2520–2526.
[155] D. Marrinucci, K. Bethel, A. Kolatkar, et al., Fluid biopsy in patients with metastaticprostate, pancreatic and breast cancers, Phys. Biol. 9 (2012) 016003.
[156] M. Takao, K. Takeda, Enumeration, characterization, and collection of intact circu-lating tumor cells by cross contamination-free flow cytometry, Cytometry A 79 (2011)107–117.
[157] B. Mostert, S. Sleijfer, J.A. Foekens, J.W. Gratama, Circulating tumor cells (CTCS):detection methods and their clinical relevance in breast cancer, Cancer Treat. Rev. 35(2009) 463–474.
[158] U. Woelfle, J. Cloos, G. Sauter, et al., Molecular signature associated with bone mar-row micrometastasis in human breast cancer, Cancer Res. 63 (2003) 5679–5684.
[159] B. Willipinski-Stapelfeldt, S. Riethdorf, V. Assmann, et al., Changes in cytoskeletalprotein composition indicative of an epithelial-mesenchymal transition in humanmicrometastatic and primary breast carcinoma cells, Clin. Cancer Res. 11 (2005)8006–8014.
[160] P. Paterlini-Brechot, N.L. Benali, Circulating tumor cells (CTC) detection: clinicalimpact and future directions, Cancer Lett. 253 (2007) 180–204.
[161] V. Zieglschmid, C. Hollmann, B. Gutierrez, W. Albert, D. Strothoff, E. Gross,O. Bocher, Combination of immunomagnetic enrichment with multiplex
218 Eunice López-Muñoz and Manuel Méndez-Montes
RT-PCR analysis for the detection of disseminated tumor cells, Anticancer Res. 25(2005) 1803–1810.
[162] P.T. Went, A. Lugli, S. Meier, et al., Frequent EpCam protein expression in humancarcinomas, Hum. Pathol. 35 (2004) 122–128.
[163] F. Wang, J. Flanagan, N. Su, et al., RNAScope: a novel in situ RNA analysis platformfor formalin-fixed, paraffin-embedded tissues, J. Mol. Diagn. 14 (2012) 22–29.
[164] Affymetrix & Panomics Solutions, Data Sheet: QuantiGene ViewRNA CTC Plat-form. http://www.panomics.com/products/rna-in-situ-analysis/ctc-platform/literature-support. Consulted 28.12.12.
[165] A.N. Player, L.P. Shen, D. Kenny, V.P. Antao, J.A. Kolberg, Single-copy gene detec-tion using branched DNA (bDNA) in situ hybridization, J. Histochem. Cytochem. 49(2001) 603–612.
[166] M. Yu, D.T. Ting, S.L. Stott, et al., RNA sequencing of pancreatic circulating tumourcells implicates WNT signaling in metastasis, Nature 487 (2012) 510–513.
[167] L. Wang, Y. Wang, Y. Liu, M. Cheng, X. Wu, H. Wei, Flow cytometric analysis ofCK19 expression in the peripheral blood of breast carcinoma patients: relevance forcirculating tumor cell detection, J. Exp. Clin. Cancer Res. 28 (2009) 57.
[168] Y. Hu, L. Fan, J. Zheng, R. Cui, W. Liu, Y. He, X. Li, S. Huang, Detection of cir-culating tumor cells in breast cancer patients utilizing multiparameter flow cytometryand assessment of the prognosis of patients in different CTCs levels, Cytometry A 77(2010) 213–219.
[169] H.B. Hsieh, D.Marrinucci, K. Bethel, et al., High speed detection of circulating tumorcells, Biosens. Bioelectron. 21 (2006) 1893–1899.
[170] R.T. Krivacic, A. Ladanyi, D.N. Curry, et al., A rare-cell detector for cancer, Proc.Natl. Acad. Sci. U.S.A. 101 (2004) 10501–10504.
[171] G. Somlo, S.K. Lau, P. Frankel, et al., Multiple biomarker expression on circulatingtumor cells in comparison to tumor tissues from primary and metastatic sites in patientswith locally advanced/inflammatory, and stage IV breast cancer, using a novel detec-tion technology, Breast Cancer Res. Treat. 128 (2011) 155–163.
[172] C. Alix-Panabieres, J.P. Vendrell, O. Pelle, et al., Detection and characterization ofputative metastatic precursor cells in cancer patients, Clin. Chem. 53 (2007) 537–539.
[173] C. Alix-Panabieres, J.P. Vendrell, M. Slijper, et al., Full-length cytokeratin-19 isreleased by human tumor cells: a potential role in metastatic progression of breast can-cer, Breast Cancer Res. 11 (2009) R39.
[174] K. Pachmann, O. Camara, A. Kavallaris, et al., Monitoring the response of circulatingepithelial tumor cells to adjuvant chemotherapy in breast cancer allows detection ofpatients at risk of early relapse, J. Clin. Oncol. 26 (2008) 1208–1215.
[175] K. Pachmann, J.H. Clement, C.P. Schneider, et al., Standardized quantification of cir-culating peripheral tumor cells from lung and breast cancer, Clin. Chem. Lab. Med. 43(2005) 617–627.
[176] S.K. Kraeft, R. Sutherland, L. Gravelin, et al., Detection and analysis of cancer cells inblood and bone marrow using a rare event imaging system, Clin. Cancer Res. 6 (2000)434–442.
[177] J.L. Mansi, W.E. Mesker, T. McDonnell, A.M. Van Driel-Kulker, J.S. Ploem,R.C. Coombes, Automated screening for micrometastases in bone marrow smears,J. Immunol. Methods 112 (1988) 105–111.
[178] W.E. Mesker, J.M. vd Burg, P.S. Oud, et al., Detection of immunocytochemicallystained rare events using image analysis, Cytometry 17 (1994) 209–215.
[179] I. Van der Auwera, D. Peeters, I.H. Benoy, et al., Circulating tumour cell detection: adirect comparison between the Cell Search System, the AdnaTest and CK-19/mammaglobin RT-PCR in patients with metastatic breast cancer, Br. J. Cancer102 (2010) 276–284.
219Circulating Markers of Breast Cancer
[180] B.M. Smith, M.J. Slade, H. English, et al., Response of circulating tumor cells to sys-temic therapy in patients with metastatic breast cancer: comparison of quantitativepolymerase chain reaction and immunocytochemical techniques, J. Clin. Oncol. 18(2000) 1432–1439.
[181] A.C. Lambrechts, A.J. Bosma, S.G. Klaver, et al., Comparison of immunocytochem-istry, reverse transcriptase polymerase chain reaction, and nucleic acid sequence-basedamplification for the detection of circulating breast cancer cells, Breast Cancer Res.Treat. 56 (1999) 219–231.
[182] N. Xenidis, M. Perraki, M. Kafousi, et al., Predictive and prognostic value of periph-eral blood cytokeratin-19 mRNA-positive cells detected by real-time polymerasechain reaction in node-negative breast cancer patients, J. Clin. Oncol. 24 (2006)3756–3762.
[183] K. Pantel, R.H. Brakenhoff, B. Brandt, Detection, clinical relevance and specific bio-logical properties of disseminating tumour cells, Nat. Rev. Cancer 8 (2008) 329–340.
[184] M. Ignatiadis, N. Xenidis, M. Perraki, et al., Different prognostic value of cytokeratin-19 mRNA positive circulating tumor cells according to estrogen receptor and HER2status in early-stage breast cancer, J. Clin. Oncol. 25 (2007) 5194–5202.
[185] A. Stathopoulou, A. Gizi, M. Perraki, et al., Real-time quantification of CK-19mRNA-positive cells in peripheral blood of breast cancer patients using the lightcyclersystem, Clin. Cancer Res. 9 (2003) 5145–5151.
[186] T. Nolan, R.E. Hands, S.A. Bustin, et al., Quantification of mRNA using real-timeRT-PCR, Nat. Protoc. 1 (2006) 1559–1582.
[187] O. Zach, H. Kasparu, O. Krieger, W. Hehenwarter, M. Girschikofsky, D. Lutz,Detection of circulating mammary carcinoma cells in the peripheral blood of breastcancer patients via a nested reverse transcriptase polymerase chain reaction assay formammaglobin mRNA, J. Clin. Oncol. 17 (1999) 2015–2019.
[188] C. Shen, L. Hu, L. Xia, Y. Li, The detection of circulating tumor cells of breast cancerpatients by using multimarker (Survivin, hTERT and hMAM) quantitative real-timePCR, Clin. Biochem. 42 (2009) 194–200.
[189] L. Xi, D.G. Nicastri, T. El-Hefnawy, S.J. Hughes, J.D. Luketich, T.E. Godfrey, Opti-mal markers for real-time quantitative reverse transcription PCR detection of circu-lating tumor cells from melanoma, breast, colon, esophageal, head and neck, andlung cancers, Clin. Chem. 53 (2007) 1206–1215.
[190] S. Meng, D. Tripathy, E.P. Frenkel, et al., Circulatint tumor cells in patients withbreast cancer dormancy, Clin. Cancer Res. 10 (2004) 8152–8162.
[191] H. Graves, B.J. Czerniecki, Circulating tumor cells in breast cancer patients: an evolv-ing role in patients and disease progression, Patholog. Res. Int. 2011 (2011) 621090.
[192] T.S. Wan, E.S. Ma, Molecular cytogenetics: an indispensable tool for cancer diagnosis,Chang Gung Med. J. 35 (2012) 96–110.
[193] A. Kallioniemi, O.P. Kallioniemi, D. Sudar, et al., Comparative genomic hybridiza-tion for molecular cytogenetic analysis of solid tumors, Science 258 (1992) 818–821.
[194] C.A. Klein, T.J. Blankenstein, O. Schmidt-Kittler, et al., Genetic heterogeneity of sin-gle disseminated tumour cells in minimal residual cancer, Lancet 360 (2002) 683–689.
[195] J.L. Freeman, G.H. Perry, L. Feuk, et al., Copy number variation: new insights ingenome diversity, Genome Res. 16 (2006) 949–961.
[196] D. Peeper, A. Berns, Cross-species oncogenomics in cancer gene identification, Cell125 (2006) 1230–1233.
[197] T. Nakagawa, S.R. Martinez, Y. Goto, et al., Detection of circulating tumor cells inearly-stage breast cancer metastasis to axillary lymph nodes, Clin. Cancer Res. 13(2007) 4105–4110.
[198] O.C. Upko, J.J. Flanagan, X.J. Ma, Y. Luo, W.L. Thorstad, J.S. Lewis Jr., High-riskhuman papillomavirus E6/E7 mRNA detection by a novel in situ hybridization assay
220 Eunice López-Muñoz and Manuel Méndez-Montes
strongly correlates with p16 expression and patient outcomes in oropharyngeal squa-mous cell carcinoma, Am. J. Surg. Pathol. 35 (2011) 1343–1350.
[199] R.E. Payne, F.Wang, N. Su, et al., Viable circulating tumour cell detection using mul-tiplex RNA in situ hybridization predicts progression-free survival in metastatic breastcancer patients, Br. J. Cancer 106 (2012) 1790–1797.
[200] S. Bushnell, J. Budde, T. Catino, et al., ProbeDesigner: for the design of probesets forbranched DNA (bDNA) signal amplification assays, Bioinformatics 15 (1999)348–355.
[201] C. Situma, M. Hashimoto, S.A. Soper, Merging microfluidics with microarray-basedbioassays, Biomol. Eng. 23 (2006) 213–231.
[202] Y. Zhang, M.Y. Coyne, S.G. Will, C.H. Levenson, E.S. Kawasaki, Single-base muta-tional analysis of cancer and genetic diseases using membrane bound modified oligo-nucleotides, Nucleic Acids Res. 19 (1991) 3929–3933.
[203] M.A. McClain, C.T. Culbertson, S.C. Jacobson, N.L. Allbritton, C.E. Sims,J.M. Ramsey, Microfluidic devices for the high-throughput chemical analysis of cells,Anal. Chem. 75 (2003) 5646–5655.
[204] A.C. Pease, D. Solas, E.J. Sullivan, M.T. Cronin, C.P. Holmes, S.P. Fodor, Light-generated oligonucleotide arrays for rapid DNA sequence analysis, Proc. Natl. Acad.Sci. U.S.A. 91 (1994) 5022–5026.
[205] B.L. Postier, H.L. Wang, A. Singh, et al., The construction and use of bacterial DNAmicroarrays basedon anoptimized two-stagePCRstrategy,BMCGenomics 4 (2003) 23.
[206] K. Bussow, E. Nordhoff, C. Lubbert, H. Lehrach, G. Walter, A human cDNA libraryfor high-throughput protein expression screening, Genomics 65 (2000) 1–8.
[207] G. MacBeath, S.L. Schreiber, Printing proteins as microarrays for highthroughputfunction determination, Science 289 (2000) 1760–1763.
[208] J. Baner, A. Isaksson, E. Waldenstroem, J. Jarvius, U. Landegren, M. Nilsson, Parallelgene analysis with allele-specific padlock probes and tag microarrays, Nucleic AcidsRes. 31 (2003) e103.
[209] E. Gonzalez Roca, X. Garcia Albeniz, S. Rodrıguez-Mulero, R.R. Gomis,K. Kornacker, H. Auer, Accurate expression profiling of very small cell populations,PLoS One 5 (2010) e14418.
[210] A. Markou, A. Strati, N. Malamos, V. Georgoulias, E. Lianidou, Molecular character-ization of circulating tumor cells in breast cancer by a liquid bead array hybridizationassay, Clin. Chem. 57 (2011) 421–430.
[211] B. Brandt, A. Roetger, S. Heidl, et al., Isolation of blood-borne epithelium-derivedc-erbB-2 oncoprotein-positive clustered cells from the peripheral blood of breast can-cer patients, Int. J. Cancer 76 (1998) 824–828.
[212] S.J. Kim, N. Ikeda, E. Shiba, Y. Takamura, S. Noguchi, Detection of breast cancermicrometastases in peripheral blood using immunomagnetic separation and immuno-cytochemistry, Breast Cancer 8 (2001) 63–69.
[213] D.N. Krag, T. Ashikaga, T.J. Moss, et al., Breast cancer cells in the blood: a pilot study,Breast J. 5 (1999) 354–358.
[214] M.M. Reinholz, A. Nibbe, L.M. Jonart, et al., Evaluation of a panel of tumor markersfor molecular detection of circulating cancer cells in women with suspected breast can-cer, Clin. Cancer Res. 11 (2005) 3722–3732.
[215] B.K. Zehentner, D.H. Persing, A. Deme, et al., Mammaglobin as a novel breast cancerbiomarker: multigene reverse transcription-PCR assay and sandwich ELISA, Clin.Chem. 50 (2004) 2069–2076.
[216] G. Deng, M. Herrler, D. Burgess, E. Manna, D. Krag, J.F. Burke, Enrichment withanti-cytokeratin alone or combined with anti-EpCAM antibodies significantlyincreases the sensitivity for circulating tumor cell detection in metastatic breast cancerpatients, Breast Cancer Res. 10 (2008) R69.
221Circulating Markers of Breast Cancer
[217] M. Balic, N. Dandachi, G. Hofmann, et al., Comparison of two methods for enumer-ating circulating tumor cells in carcinoma patients, Cytometry B Clin. Cytom. 68(2005) 25–30.
[218] T. Fehm, S. Becker, S. Duerr-Stoerzer, et al., Determination of HER2 status usingboth serum HER2 levels and circulating tumor cells in patients with recurrent breastcancer whose primary tumor was HER2 negative or of unknown HER2 status, BreastCancer Res. 9 (2007) R74.
[219] T. Bauernhofer, S. Zenahlik, G. Hofmann, et al., Association of disease progressionand poor overall survival with detection of circulating tumor cells in peripheral bloodof patients with metastatic breast cancer, Oncol. Rep. 13 (2005) 179–184.
[220] B. Taback, A.D. Chan, C.T. Kuo, et al., Detection of occult metastatic breast cancercells in blood by a multimolecular marker assay: correlation with clinical stage of dis-ease, Cancer Res. 61 (2001) 8845–8850.
[221] X.C. Hu, L.W. Chow, Detection of circulating breast cancer cells with multi-plemarker RT-PCR assay, Anticancer Res. 21 (2001) 421–424.
[222] D.S. Hoon, T. Sarantou, F. Doi, et al., Detection of metastatic breast cancer by beta-hCG polymerase chain reaction, Int. J. Cancer 69 (1996) 369–374.
[223] S. Meng, D. Tripathy, S. Shete, et al., uPAR and HER-2 gene status in individualbreast cancer cells from blood and tissues, Proc. Natl. Acad. Sci. U.S.A. 103 (2006)17361–17365.
[224] T.A.Masuda, A. Kataoka, S. Ohno, et al., Detection of occult cancer cells in peripheralblood and bone marrow by quantitative RT-PCR assay for cytokeratin-7 in breastcancer patients, Int. J. Oncol. 26 (2005) 721–730.
[225] T. Felton, G.C. Harris, S.E. Pinder, et al., Identification of carcinoma cells in periph-eral blood samples of patients with advanced breast carcinoma using RT-PCR ampli-fication of CK7 and MUC1, Breast 13 (2004) 35–41.
[226] C. Alix-Panabieres, J.P. Brouillet, M. Fabbro, et al., Characterization and enumerationof cells secreting tumor markers in the peripheral blood of breast cancer patients,J. Immunol. Methods 299 (2005) 177–188.
[227] T. Jotsuka, Y. Okumura, S. Nakano, et al., Persistent evidence of circulating tumorcells detected by means of RT-PCR for CEAmRNA predicts early relapse: a prospec-tive study in node-negative breast cancer, Surgery 135 (2004) 419–426.
[228] M. Mitas, K. Mikhitarian, C. Walters, et al., Quantitative real-time RT-PCR detec-tion of breast cancer micrometastasis using a multigene marker panel, Int. J. Cancer 93(2001) 162–171.
[229] J.S. de Bono, G. Attard, A. Adjei, et al., Potential applications for circulating tumorcells expressing the insulin-like growth factor-I receptor, Clin. Cancer Res. 13(2007) 3611–3616.
[230] W. Kruger, C. Krzizanowski, M. Holweg, et al., Reverse transcriptase/polimerasechain reaction detection of cytokeratin-19 mRNA in bonemarrow and blood of breastcancer patients, J. Cancer Res. Clin. Oncol. 122 (1996) 679–686.
[231] A. Stathopoulou, I. Vlachonikolis, D. Mavroudis, et al., Molecular detection ofcytokeratin-19-positive cells in the peripheral blood of patients with operable breastcancer: evaluation of their prognostic significance, J. Clin. Oncol. 20 (2002)3404–3412.
[232] E.N. Stathopoulos, E. Sanidas, M. Kafousi, et al., Detection of CK-19 mRNApositivecells in the peripheral blood of breast cancer patients with histologically andimmunohistochemically negative axillary lymph nodes, Ann. Oncol. 16 (2005)240–246.
[233] A. Stathopoulou, D. Mavroudis, M. Perraki, et al., Molecular detection of cancer cellsin the peripheral blood of patients with breast cancer: comparison of CK-19, CEA andmaspin as detection markers, Anticancer Res. 23 (2003) 1883–1890.
222 Eunice López-Muñoz and Manuel Méndez-Montes
[234] K. Grunewald, M. Haun, M. Urbanek, et al., Mammaglobin gene expression: a supe-rior marker of breast cancer cells in peripheral blood in comparison to epidermal-growth-factor receptor and cytokeratin-19, Lab. Invest. 80 (2000) 1071–1077.
[235] H.A. Silva, E. Abraul, D. Raimundo, et al., Molecular detection of EGFRvIII-positivecells in the peripheral blood of breast cancer patients, Eur. J. Cancer 42 (2006)2617–2622.
[236] A. Gradilone, P. Gazzaniga, I. Silvestri, et al., Detection of CK19, CK20 and EGFRmRNAs in peripheral blood of carcinoma patients: correlation with clinical stage ofdisease, Oncol. Rep. 10 (2003) 217–222.
[237] A.J. Bosma, B. Weigelt, A.C. Lambrechts, et al., Detection of circulating breast tumorcells by differential expression of marker genes, Clin. Cancer Res. 8 (2002) 1871–1877.
[238] M. Quintela-Fandino, J.M. Lopez, R. Hitt, et al., Breast cancer-specific mRNA tran-scripts presence in peripheral blood after adjuvant chemotherapy predicts poor survivalamong high-risk breast cancer patients treated with high-dose chemotherapy withperipheral blood stem cell support, J. Clin. Oncol. 24 (2006) 3611–3618.
[239] M. Ignatiadis, G. Kallergi, M. Ntoulia, et al., Prognostic value of the molecular detec-tion of circulating tumor cells using a multimarker reverse transcription- PCR assay forcytokeratin 19, mammaglobin A, and HER2 in early breast cancer, Clin. Cancer Res.14 (2008) 2593–2600.
[240] L. Wasserman, A. Dreilinger, D. Easter, A. Wallace, A seminested RT-PCR assay forHER2/neu: initial validation of a new method for the detection of disseminated breastcancer cells, Mol. Diagn. 4 (1999) 21–28.
[241] S. Apostolaki, M. Perraki, A. Pallis, et al., Circulating HER2 mRNA-positive cells inthe peripheral blood of patients with stage I and II breast cancer after the administrationof adjuvant chemotherapy: evaluation of their clinical relevance, Ann. Oncol. 18(2007) 851–858.
[242] N. Berois, M. Varangot, B. Aizen, et al., Molecular detection of cancer cells in bonemarrow and peripheral blood of patients with operable breast cancer. Comparison ofCK19, MUC1 and CEA using RT-PCR, Eur. J. Cancer 36 (2000) 717–723.
[243] N.M. Brown, T.T. Stenzel, P.N. Friedman, J. Henslee, G. Huper, J.R. Marks, Eval-uation of expression based markers for the detection of breast cancer cells, Breast Can-cer Res. Treat. 97 (2006) 41–47.
[244] M.K. Baker, K. Mikhitarian, W. Osta, et al., Molecular detection of breast cancer cellsin the peripheral blood of advanced-stage breast cancer patients using multimarkerreal-time reverse transcription-polymerase chain reaction and a novel porous barrierdensity gradient centrifugation technology, Clin. Cancer Res. 9 (2003) 4865–4871.
[245] G.G.Wulf, B. Jurgens, T. Liersch, et al., Reverse transcriptase/polymerase chain reac-tion analysis of parathyroid hormone-related protein for the detection of tumor celldissemination in the peripheral blood and bone marrow of patients with breast cancer,J. Cancer Res. Clin. Oncol. 123 (1997) 514–521.
[246] G.R. Fanger, R.L. Houghton, M.W. Retter, et al., Detection of mammaglobin in thesera of patients with breast cancer, Tumour Biol. 23 (2002) 212–221.
[247] P. Bossolasco, C. Ricci, G. Farina, et al., Detection of micrometastatic cells in breastcancer by RT-pCR for the mammaglobin gene, Cancer Detect. Prev. 26 (2002)60–63.
[248] Y.C. Lin, Y.H. Wu Chou, I.C. Liao, A.J. Cheng, The expression of mammaglobinmRNA in peripheral blood of metastatic breast cancer patients as an adjunct to serumtumor markers, Cancer Lett. 191 (2003) 93–99.
[249] B. Suchy, F. Austrup, G. Driesel, et al., Detection of mammaglobin expressing cells inblood of breast cancer patients, Cancer Lett. 158 (2000) 171–178.
[250] J.A. Lopez-Guerrero, P.B. Gilabert, E.B. Gonzalez, et al., Use of reverse-transcriptasepolymerase chain reaction (RT-PCR) for carcinoembryonic antigen, cytokeratin 19,
223Circulating Markers of Breast Cancer
and maspin in the detection of tumor cells in leukapheresis products from patients withbreast cancer: comparison with immunocytochemistry, J. Hematother. 8 (1999)53–61.
[251] P. Corradini, C. Voena, M. Astolfi, et al., Maspin and mammaglobin genes are specificmarkers for RT-PCR detection of minimal residual disease in patients with breast can-cer, Ann. Oncol. 12 (2001) 1693–1698.
[252] M. Luppi, M.Morselli, E. Bandieri, et al., Sensitive detection of circulating breast can-cer cells by reverse-transcriptase polymerase chain reaction of maspin gene, Ann.Oncol. 7 (1996) 619–624.
[253] L. Mercatali, V. Valenti, D. Calistri, et al., RT-PCR determination of maspin andmammaglobin B in peripheral blood of healthy donors and breast cancer patients,Ann. Oncol. 17 (2006) 424–428.
[254] S.M. Yie, B. Luo, N.Y. Ye, K. Xie, S.R. Ye, Detection of survivin-expressing circu-lating cancer cells in the peripheral blood of breast cancer patients by a RT-PCRELISA, Clin. Exp. Metastasis 23 (2006) 279–289.
[255] D.S. Guttery, K. Blighe, K. Page, et al., Hide and seek: tell-tale signs of breast cancerlurking in the blood, Cancer Metastasis. Rev. (2012) 23108389.
[256] J. Folkman, Tumor angiogenesis: therapeutic implications, N. Engl. J. Med. 285(1971) 1182–1186.
[257] A.L. Allan, M. Keeney, Circulating tumor cell analysis: technical and statistical con-siderations for application to the clinic, J. Oncol. 2010 (2010) 426218.
[258] P. Subarsky, R.P. Hill, The hypoxic tumour microenvironment and metastatic pro-gression, Clin. Exp. Metastasis 20 (2003) 237–250.
[259] S.A. Brooks, H.J. Lomax-Browne, T.M. Carter, C.E. Kinch, D.M. Hall, Molecularinteractions in cancer cell metastasis, Acta Histochem. 112 (2010) 3–25.
[260] M. Cristofanilli, D.F. Hayes, G.T. Budd, et al., Circulating tumor cells: a novel prog-nostic factor for newly diagnosed metastatic breast cancer, J. Clin. Oncol. 23 (2005)1420–1430.
[261] F. Farace, C. Massard, N. Vimond, et al., A direct comparison of CellSearch and ISETfor circulating tumour-cell detection in patients with metastatic carcinomas, Br. J.Cancer 105 (2011) 847–853.
[262] S. Meng, D. Tripathy, S. Shete, et al., HER-2 gene amplification can be acquired asbreast cancer progresses, Proc. Natl. Acad. Sci. U.S.A. 101 (2004) 9393–9398.
[263] V. Bozionellou, D. Mavroudis, M. Perraki, et al., Trastuzumab administration caneffectively target chemotherapy-resistant cytokeratin-19 messenger RNA-positivetumor cells in the peripheral blood and bone marrow of patients with breast cancer,Clin. Cancer Res. 10 (2004) 8185–8194.
[264] N. Xenidis, I. Vlachonikolis, D. Mavroudis, et al., Peripheral blood circulatingcytokeratin-19 mRNA-positive cells after the completion of adjuvant chemotherapyin patients with operable breast cancer, Ann. Oncol. 14 (2003) 849–855.
[265] G.T. Budd, M. Cristofanilli, M.J. Ellis, et al., Circulating tumor cells versus imaging—predicting overall survival in metastatic breast cancer, Clin. Cancer Res. 12 (2006)6403–6409.
[266] N. Xenidis, M. Ignatiadis, S. Apostolaki, et al., Cytokeratin-19 mRNA-positive cir-culating tumor cells after adjuvant chemotherapy in patients with early breast cancer,J. Clin. Oncol. 27 (2009) 2177–2184.
[267] M. Cristofanilli, K.R. Broglio, V. Guarneri, et al., Circulating tumor cells in metastaticbreast cancer: biologic staging beyond tumor burden, Clin. Breast Cancer 7 (2007)471–479.
[268] D.F. Hayes, M. Cristofanilli, G.T. Budd, M.J. Ellis, et al., Circulating tumor cells ateach follow-up time point during therapy of metastatic breast cancer patients predictprogression-free and overall survival, Clin. Cancer Res. 12 (2006) 4218–4224.
224 Eunice López-Muñoz and Manuel Méndez-Montes
[269] H. Yagata, S. Nakamura, M. Toi, H. Bando, S. Ohno, A. Kataoka, Evaluation of cir-culating tumor cells in patients with breast cancer: multi-institutional clinical trial inJapan, Int. J. Clin. Oncol. 13 (2008) 252–256.
[270] S. Nakamura, H. Yagata, S. Ohno, et al., Multi-center study evaluating circulatingtumor cells as a surrogate for response to treatment and overall survival in metastaticbreast cancer, Breast Cancer 17 (2010) 199–204.
[271] M.C. Liu, P.G. Shields, R.D.Warren, et al., Circulating tumor cells: a useful predictorof treatment efficacy in metastatic breast cancer, J. Clin. Oncol. 27 (2009) 5153–5159.
[272] U. De Giorgi, V. Valero, E. Rohren, et al., Circulating tumor cells and [18F]fluorodeoxyglucose positron emission tomography/computed tomography for out-come prediction in metastatic breast cancer, J. Clin. Oncol. 27 (2009) 3303–3311.
[273] U. DeGiorgi, V. Valero, E. Rohren, et al., Circulating tumor cells and bone metastasesas detected by FDG-PET/CT in patients with metastatic breast cancer, Ann. Oncol.21 (2010) 33–39.
[274] B.K. Rack, C. Schindlbeck, U. Andergassen, et al., Use of circulating tumor cells(CTC) in peripheral blood of breast cancer patients before and after adjuvant chemo-therapy to predict risk for relapse: the SUCCESS trial, J. Clin. Oncol. 28 (2010) 1003.
[275] N.Hayashi, H. Yamauchi, Role of circulating tumor cells and disseminated tumor cellsin primary breast cancer, Breast Cancer 19 (2012) 110–117.