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How to Identify Patients With Increased Risk of Breast Cancer Relapse?

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Copyright © Lippincott Williams & Wilkins. Unauthorized reproduction of this article is prohibited. How to Identify Patients With Increased Risk of Breast Cancer Relapse? Ricardo P. Cruz, MSc,* Jose´ L. Pedrini, PhD,w Cla ´udio G. Zettler, PhD,z Ricardo F. Savaris, PhD,y and Vanise Grassi, MDz Abstract: A cohort of 362 breast cancer patients had subtype classification accomplished using 4 immunohistochemical markers: luminal A (ER or PR positive, HER2 negative, Ki-67 < 14%), luminal B (ER or PR positive, HER2 negative, Ki-67 Z14%), luminal HER2 (ER or PR positive, HER2 pos- itive), HER2 enriched (ER or PR negative, HER2 positive) or triple negative (ER, PR, and HER2 negative). Multivariable Cox analysis was used to determine the risk of local (LR) or distant (DR) relapse associated with the intrinsic subtypes, ad- justing for standard clinicopathologic factors. There have been a total of 124 recurrences. Triple-negative patients were associated with increased risk of LR. Luminal B subtype showed statistical tendency (P = 0.053) to LR. For patients undergoing breast conservation surgery, luminal B and HER2-enriched subtypes demonstrated an increased risk to LR, and this was statistically significant on multivariable analysis. After mastectomy, there was no statistical difference between subtypes of LR or DR on multivariable analysis. Luminal A tumors are associated with a low risk of LR or DR. Despite the existence of gene expression profiling, in the current study we demonstrate that analysis of 4 immunohistochemical markers is equally effective and less expensive alternative to identify higher recurrence risk patients. Key Words: breast cancer, immunohistochemical markers, molecular subtype, prognostic markers (Appl Immunohistochem Mol Morphol 2013;00:000–000) B reast cancer (BC) is the most frequent carcinoma di- agnosed and the leading cause of cancer death in fe- males worldwide. 1 BC treatment has improved due to the discovery of specific prognostic and predictive biomarkers that enable more individualized therapies to different molecular subgroups. In this scenario, estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) have played a significant role of selecting patients to hormonal and HER2 target- ing therapy. Unfortunately adjuvant systemic therapy fails to prevent recurrence in some patients with high-risk hormone receptor positive, and many lower risk patients may have been subjected to side effects without benefit from such interventions. Thus, better discrimination be- tween patients at high risk for recurrence from patients at low risk is needed. BC recurrence is an important marker related to poor outcome. 2 Several articles showed different variables associated with BC recurrence and prognosis, suggesting that we could more accurately identify patients that will benefit from adjuvant treatment, like chemotherapy. More recently, BC molecular classification had been as- sociated with an important prognostic tool. 2–18 Classi- fication can be based on gene expression profiling (Oncotype DX; Genomic Health, Redwood City, CA or MammaPrint; Agendia, Amsterdam, the Netherlands) or immunohistochemical (IHQ) analysis. 9,12,13,17,19–21 Al- though most of these studies reported survival differences, only a few have associated local (LR) and distant (DR) relapses with different molecular subtypes. 11,14,16 In this retrospective cohort, we proposed that LR and DR can be reliably predicted by BC subtype classi- fication with 4 IHQ markers. MATERIALS AND METHODS All patient submitted to surgical treatment to BC between 2000 and 2005 were searched in our computer databank at the university (Hospital Santa Casa de Miserico´rdia de Porto Alegre). The cohort included 410 patients. Including criteria were woman sex, older than 18 years, invasive BC (lobular or ductal), and potentially curative breast resections with clear surgical margins. Those who did not had their follow-up scheduled at our institution were excluded. IHQ technique staining for ER, PR, HER2, and Ki- 67 were performed as previously described, 22 but ER and PR were considered positive when Z1% of the nuclei were stained in 10 high-power field, and HER2 was considered positive only when IHQ score 3+. Patients were classified into the following categories: luminal A (ER or PR positive, HER2 negative, Ki-67 < 14%); luminal B (ER or PR positive, HER2 negative, Ki-67 Z14%); luminal-HER2 (ER or PR positive, HER2 positive); HER2 enriched (ER and PR negative, HER2 Received for publication February 7, 2013; accepted March 9, 2013. From the Departments of *Surgical Oncology; wMastology, Hospital Nossa Senhora da Conceic ¸a˜o; zDepartment of Pathology, Hospital Santa Casa de Miserico´rdia; and yDepartment of Gynecological, Hospital de Clı´nicas de Porto Alegre, Porto Alegre, RS, Brazil. The authors declare no conflict of interest. Reprints: Ricardo P. Cruz, MSc, Av. Willy Eugeˆnio Fleck 1500, casa 29, Porto Alegre, RS 91150-180, Brazil (e-mail: rpcruz2004@gmail. com). Copyright r 2013 by Lippincott Williams & Wilkins RESEARCH ARTICLE Appl Immunohistochem Mol Morphol Volume 00, Number 00, ’’ 2013 www.appliedimmunohist.com | 1
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Copyright © Lippincott Williams & Wilkins. Unauthorized reproduction of this article is prohibited.

How to Identify Patients With Increased Risk of BreastCancer Relapse?

Ricardo P. Cruz, MSc,* Jose L. Pedrini, PhD,w Claudio G. Zettler, PhD,zRicardo F. Savaris, PhD,y and Vanise Grassi, MDz

Abstract: A cohort of 362 breast cancer patients had subtype

classification accomplished using 4 immunohistochemical

markers: luminal A (ER or PR positive, HER2 negative,

Ki-67<14%), luminal B (ER or PR positive, HER2 negative,

Ki-67Z14%), luminal HER2 (ER or PR positive, HER2 pos-

itive), HER2 enriched (ER or PR negative, HER2 positive) or

triple negative (ER, PR, and HER2 negative). Multivariable

Cox analysis was used to determine the risk of local (LR) or

distant (DR) relapse associated with the intrinsic subtypes, ad-

justing for standard clinicopathologic factors. There have been a

total of 124 recurrences. Triple-negative patients were associated

with increased risk of LR. Luminal B subtype showed statistical

tendency (P=0.053) to LR. For patients undergoing breast

conservation surgery, luminal B and HER2-enriched subtypes

demonstrated an increased risk to LR, and this was statistically

significant on multivariable analysis. After mastectomy, there

was no statistical difference between subtypes of LR or DR on

multivariable analysis. Luminal A tumors are associated with a

low risk of LR or DR. Despite the existence of gene expression

profiling, in the current study we demonstrate that analysis of

4 immunohistochemical markers is equally effective and less

expensive alternative to identify higher recurrence risk patients.

Key Words: breast cancer, immunohistochemical markers,

molecular subtype, prognostic markers

(Appl Immunohistochem Mol Morphol 2013;00:000–000)

Breast cancer (BC) is the most frequent carcinoma di-agnosed and the leading cause of cancer death in fe-

males worldwide.1 BC treatment has improved due to thediscovery of specific prognostic and predictive biomarkersthat enable more individualized therapies to differentmolecular subgroups. In this scenario, estrogen receptor(ER), progesterone receptor (PR), and human epidermalgrowth factor receptor 2 (HER2) have played a significant

role of selecting patients to hormonal and HER2 target-ing therapy. Unfortunately adjuvant systemic therapyfails to prevent recurrence in some patients with high-riskhormone receptor positive, and many lower risk patientsmay have been subjected to side effects without benefitfrom such interventions. Thus, better discrimination be-tween patients at high risk for recurrence from patients atlow risk is needed.

BC recurrence is an important marker related topoor outcome.2 Several articles showed different variablesassociated with BC recurrence and prognosis, suggestingthat we could more accurately identify patients that willbenefit from adjuvant treatment, like chemotherapy.More recently, BC molecular classification had been as-sociated with an important prognostic tool.2–18 Classi-fication can be based on gene expression profiling(Oncotype DX; Genomic Health, Redwood City, CA orMammaPrint; Agendia, Amsterdam, the Netherlands) orimmunohistochemical (IHQ) analysis.9,12,13,17,19–21 Al-though most of these studies reported survival differences,only a few have associated local (LR) and distant (DR)relapses with different molecular subtypes.11,14,16

In this retrospective cohort, we proposed that LRand DR can be reliably predicted by BC subtype classi-fication with 4 IHQ markers.

MATERIALS AND METHODSAll patient submitted to surgical treatment to BC

between 2000 and 2005 were searched in our computerdatabank at the university (Hospital Santa Casa deMisericordia de Porto Alegre). The cohort included 410patients. Including criteria were woman sex, older than 18years, invasive BC (lobular or ductal), and potentiallycurative breast resections with clear surgical margins.Those who did not had their follow-up scheduled at ourinstitution were excluded.

IHQ technique staining for ER, PR, HER2, and Ki-67 were performed as previously described,22 but ER andPR were considered positive when Z1% of the nucleiwere stained in 10 high-power field, and HER2 wasconsidered positive only when IHQ score 3+. Patientswere classified into the following categories: luminal A(ER or PR positive, HER2 negative, Ki-67<14%);luminal B (ER or PR positive, HER2 negative,Ki-67Z14%); luminal-HER2 (ER or PR positive, HER2positive); HER2 enriched (ER and PR negative, HER2

Received for publication February 7, 2013; accepted March 9, 2013.From the Departments of *Surgical Oncology; wMastology, Hospital

Nossa Senhora da Conceicao; zDepartment of Pathology, HospitalSanta Casa de Misericordia; and yDepartment of Gynecological,Hospital de Clınicas de Porto Alegre, Porto Alegre, RS, Brazil.

The authors declare no conflict of interest.Reprints: Ricardo P. Cruz, MSc, Av. Willy Eugenio Fleck 1500, casa 29,

Porto Alegre, RS 91150-180, Brazil (e-mail: [email protected]).

Copyright r 2013 by Lippincott Williams & Wilkins

RESEARCH ARTICLE

Appl Immunohistochem Mol Morphol � Volume 00, Number 00, ’’ 2013 www.appliedimmunohist.com | 1

Copyright © Lippincott Williams & Wilkins. Unauthorized reproduction of this article is prohibited.

positive); and triple negative (ER and PR negative, HER2negative).

For local treatment of BC, patients underwenteither breast-conserving surgery (BCS) or mastectomy,followed or not by adjuvant radiotherapy. Adjuvanttherapy was anthracycline based. LR was defined as dis-ease recurrence in the ipsilateral breast, chest wall, axil-lary or supraclavicular ipsilateral nodes. DR was definedas disease recurrence in internal mammary nodes, and anyother metastatic disease. Patients were censored at thetime of last follow-up, on the date of DR, or at the time ofdeath. Descriptive analysis was performed to variables,with mean and SD to continuous variables, andpercentage to categorical ones. The w2 was used in thebivariable analysis. For bivariable survival analysis, LR-free survival and DR-free survival were estimated usingKaplan-Meier curves, and survival differences were as-sessed using log-rank tests. Multivariable analysis wasperformed with Cox proportional hazard models to allcovariates with P<0.20 acquired in the bivariable anal-ysis. All statistical analyses were carried out using Stat-istical Package for the Social Sciences version 17.0 (SPSS,Chicago, IL) having a P<0.05 as significant. This study

was approved by the Research Ethics Committee of theUniversidade Federal de Ciencias Medicas de PortoAlegre.

RESULTSFrom January 2000 to December 2005, a total of

410 BC were identified. From these, 48 were excludedbecause they did not meet the study criteria: 9 hadmetastatic disease at the initial diagnosis, 6 had under-gone BC therapy previously, 6 were submitted to BCS butdid not receive adjuvant radiotherapy, 4 were male, and23 had their follow-up in other institution. The finalcohort included 362 cases, with a mean follow-up of4.8±2.37 years. Four died before 5 years of follow-upfor another reason not related to BC.

BC relapses were noticed in 124 (34.3%) patients.LR only were present in 26 (7.2%) patients, and 53(14.6%) patients had DR only. Patients that had LR andDR totalized 45 (12.4%). Relapses were compared withclinical and pathologic features of this cohort listedin Table 1.

No statistical differences (P=0.187) were evidencedin bivariate analysis of locoregional relapses among

TABLE 1. Distribution of Clinical and Pathologic Characteristics of the Cohort According to Relapses

No. Patients (%)

Characteristics (n) Relapses Group (n=124) Nonrelapses Group (n=238) v2 (P)

Age (y) (362)40 and younger 17 (53.1) 15 (46.9)Above 40 107 (32.4) 223 (67.6) 0.018

Tumor size (cm) (362)r2 29 (19.9) 117 (80.1)2-5 65 (37.6) 108 (62.4)>5 30 (69.8) 13 (30.2) <0.0001

Tumor grade of Elston and Ellis (283)I/II 37 (25.5) 108 (74.5)III 68 (49.3) 70 (50.7) <0.0001

Lymph nodes (360)Negative 34 (20.2) 134 (79.8)Positive 89 (46.4) 103 (53.6) <0.0001

Lymphovascular invasion (362)Negative 36 (24) 114 (76)Positive 88 (41.5) 124 (58.5) 0.001

Surgical margins (mm) (362)r1 18 (37.5) 30 (62.5)>1 106 (33.8) 208 (66.2) 0.611

AJCC staging (362)I 13 (13.8) 81 (86.2)IIA 20 (21.3) 74 (78.7)IIB 21 (33.9) 41 (66.1) <0.0001IIIA 27 (69.2) 12 (30.8)IIIB 15 (60) 10 (40)IIIC 28 (58.3) 20 (41.7)

Systemic chemotherapy (345)No chemotherapy 18 (18.2) 81 (81.8)Chemotherapy 94 (38.2) 152 (61.8) <0.0001

Local radiotherapy (345)No 11 (19.6) 45 (80.4)Yes 101 (34.9) 188 (65.1) 0.025

Hormonal therapy (347)No 50 (45) 61 (55)Yes 63 (26.7) 173 (73.3) 0.001

Cruz et al Appl Immunohistochem Mol Morphol � Volume 00, Number 00, ’’ 2013

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patients treated with BCS and RT (23 of 129 patients,15.1%), mastectomy (17 of 73 patients, 23.3%), or mas-tectomy and RT (31 of 137 patients, 22.6%).

Lymph node dissection was performed in 295(81.5%) patients. The mean number of lymph nodesdissected was 16. Separate analysis of regional relapses(axillar relapses) was performed (data not shown). Nev-ertheless, no statistical differences were found and theywere analyzed together with LR; perhaps a larger samplemay evidence statistical relapses differences.

Eighty-two of 345 (22.7%) patients received neo-adjuvant chemotherapy. Adjuvant chemotherapy, radio-therapy, and hormone therapy were performed in 208(57.5%, of 345), 289 (79.8%, of 345), and 236 (65.2%, of347) patients, respectively. Hormonal treatment was ad-ministered to 91.7% of patients with ER or PR positive.Seven (1.9%) patients received trastuzumab. Eighteen(5%) patients did not receive any systemic treatment.

BC molecular subtypes achieved by IHQ analysisshowed 119 (32.9%) luminal A, 73 (20.2%) luminal B, 67(18.5%) luminal-HER2, 41 (11.3%) HER2 enriched, and 62(17.1%) triple negative. The clinical and pathologic featureswere compared between the subtype cohorts (Table 2).

Bivariate survival analysis revealed statistically sig-nificant differences in LR (Fig. 1A) and DR (Fig. 1B)among the molecular BC subtypes. For both LR and DR,patients with luminal A tumors had the most favorableprognosis, with LR and DR rates in 5 years of only 6.7%and 15.1%, respectively. Conversely, HER2-enriched andtriple-negative groups exhibited the highest rates of LR(26.8% and 38.7%, respectively) and DR (34.1% and40.3%, respectively).

Multivariable Cox analysis revealed statisticallysignificant differences in LR for tumors >5 cm, N2 or N3lymph node stages, and triple-negative phenotype (TNP)molecular subtype (Table 3). Luminal B subtype showedstatistical tendency (P=0.053) to LR. Variables pre-dictors of DR were tumors >5 cm, N2 or N3 lymph nodestages, and local radiotherapy. Hormonal therapy(tamoxifen) was associated with reduced DR rates(P=0.017), but did not with LR (P=0.979).

BCS Subgroups AnalysesBivariate survival analysis of patients treated with

BCS revealed statistically significant differences in wholerelapses (Fig. 2A) and LR (Fig. 2B) among the molecular

TABLE 2. Distribution of Clinical and Pathologic Characteristics Among Breast Cancer Molecular Subtypes

No. Patients (%)

Characteristics (n) Luminal A Luminal B Luminal-HER2 HER2 Enriched Triple Negative v2 (P)

Age (y) (362) 0.29140 and younger 9 (7.6) 5 (6.8) 5 (7.5) 3 (7.3) 10 (16.1)Above 40 110 (92.4) 68 (93.2) 62 (92.5) 38 (92.7) 52 (83.9)

Tumor size (cm) (362) <0.0001r2 66 (55.5) 30 (41.1) 24 (35.8) 11 (26.8) 15 (24.2)2-5 46 (38.7) 38 (52.1) 37 (55.2) 20 (48.8) 32 (51.6)>5 7 (5.9) 5 (6.8) 6 (9) 10 (24.4) 15 (24.2)

Tumor grade of Elston and Ellis (283) <0.0001I/II 58 (75.3) 31 (47.7) 28 (50) 8 (21.6) 20 (41.7)III 19 (24.7) 34 (52.3) 28 (50) 29 (78.4) 28 (58.3)

Lymph nodes (362) 0.042N0 70 (58.8) 31 (42.5) 29 (43.3) 12 (29.3) 28 (45.2)N1 32 (26.9) 25 (34.2) 16 (23.9) 14 (‘34.1) 13 (21)N2 5 (4.2) 7 (9.6) 13 (19.4) 7 (17.1) 12 (19.4)N3 12 (10.1) 10 (13.7) 9 (13.4) 8 (19.5) 9 (14.5)

Lymphovascular invasion (362) <0.0001Negative 74 (62.2) 24 (32.9) 26 (38.8) 7 (17.1) 19 (30.6)Positive 45 (67.1) 49 (67.1) 41 (61.2) 34 (82.9) 43 (69.4)

Surgical margins (mm) (362) 0.332r1 19 (16) 5 (6.8) 8 (11.9) 5 (12.2) 11 (17.7)>1 100 (84) 68 (93.2) 59 (88.1) 36 (87.8) 51 (82.3)

Systemic chemotherapy (345) <0.0001No 52 (44.1) 20 (29) 17 (27) 2 (5.1) 8 (14.3)Yes 66 (55.9) 49 (71) 46 (73) 37 (94.9) 48 (85.7)

Local radiotherapy (345) 0.722No 19 (16.1) 8 (11.6) 13 (20.6) 7 (17.9) 9 (16.1)Yes 99 (83.9) 61 (88.4) 50 (79.4) 32 (82.1) 47 (83.9)

Hormonal therapy (347) <0.0001No 10 (8.5) 9 (12.9) 2 (3.1) 37 (94.9) 53 (94.6)Yes 108 (91.5) 61 (87.1) 62 (96.9) 2 (5.1) 3 (5.4)

Local relapses (362) <0.0001No 111 (93.3) 58 (79.5) 54 (80.6) 30 (73.2) 38 (61.3)Yes 8 (6.7) 15 (20.5) 13 (19.4) 11 (26.8) 24 (38.7)

Distant relapses (362) 0.004No 101 (84.9) 51 (69.9) 48 (71.6) 27 (65.9) 37 (59.7)Yes 18 (15.1) 22 (30.1) 19 (28.4) 14 (34.1) 25 (40.3)

Appl Immunohistochem Mol Morphol � Volume 00, Number 00, ’’ 2013 Breast Cancer Relapse Risk

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FIGURE 1. A, Bivariate analysis of local recurrence-free survival among patients reveals statistically significant differences amongbreast cancer intrinsic subtypes (log-rank test, P < 0.0001). B, Bivariate analysis of distant recurrence-free survival among patientsreveals statistically significant differences among breast cancer intrinsic subtypes (log-rank test, P < 0.0001). Blue line, luminal A;red, luminal human epidermal growth factor receptor 2 (luminal-HER2); green, luminal B; violet, HER2 enriched; yellow, triplenegative (basal and nonbasal).

Cruz et al Appl Immunohistochem Mol Morphol � Volume 00, Number 00, ’’ 2013

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BC subtypes. Recurrence-free survival (RFS) is shownon Table 4. For both LR and DR, patients with luminalA tumors had the most favorable prognosis, with LR andDR rates of only 4.5% and 9.1%, respectively. Con-versely, HER2-enriched and triple-negative groups ex-hibited the highest rates of LR (36.4% and 42.9%,respectively). Triple-negative and luminal B groupsshowed the highest rates of DR (21.4%, and 21.9%,respectively).

Multivariable Cox analysis revealed statisticallysignificant differences in LR for N3 lymph node stage,luminal B, and HER2-enriched molecular subtypes(Table 5). Variables predictors of DR were age 40 yearsand younger, N2 and N3 lymph node stages, and luminalB molecular subtype.

Mastectomy Subgroups AnalysesBivariate survival analysis of patients treated with

mastectomy revealed statistically significant differences inwhole relapses (Fig. 3A) and LR (Fig. 3B) among themolecular BC subtypes. RFS are shown in Table 4. Forboth LR and DR, patients with luminal A tumors had themost favorable prognosis, with LR and DR rates of

only 9.4% and 22.6% in 5 years, respectively. Conversely,luminal B and triple-negative groups exhibited the highestrates of LR (24.4% and 37.5%, respectively), followed byHER2-enriched group (23.3%). HER2-enriched and tri-ple-negative groups exhibited the highest rates of DR(40% and 45.8%, respectively).

Multivariable Cox analysis revealed statistically sig-nificant differences in LR and DR for N2 and N3 lymphnode stages (Table 6), respectively. N3 lymph node stage hada tendency to LR (P=0.058). Molecular subtypes were notpredictors of recurrence after mastectomy. Hormonal ther-apy (tamoxifen) was associated with reduced DR rate.

DISCUSSIONThis study demonstrates the importance of BC

subtype classification on risk assessment to LR and DR.We demonstrated that biological subtyping with 4 IHQbiomarkers (ER, PR, HER2, and Ki67) had statisticallysignificant value that was independent of standard clin-icopathologic parameters (including age at diagnosis, tu-mor size, grade, lymphovascular invasion, and axillarylymph node status) to identify high-risk LR women,

TABLE 3. Multivariable Cox Analysis of Local and Distant Relapse

Local Relapse (n=345) Distant Relapses (n=345)

Variables HR 95% CI P HR 95% CI P

Age (y)Above 40 1.0 1.040 and younger 0.9 0.4-2.0 0.793 0.8 0.4-1.6 0.595

Tumor size (cm)r2 1.0 1.02-5 1.5 0.7-3.1 0.245 1.7 0.9-3.1 0.078>5 3.8 1.4-10.0 0.006 2.5 1.1-5.5 0.024

Lymph nodesN0 1.0 1.0N1 1.1 0.4-2.5 0.809 1.6 0.8-3.0 0.145N2 5.2 2.2-12.0 <0.0001 5.0 2.4-10.2 <0.0001N3 3.4 1.4-8.4 0.007 3.6 1.8-7.3 <0.0001

Lymphovascular invasionNegative 1.0 1.0Positive 1.2 0.6-2.6 0.48 0.8 0.4-1.5 0.598

Surgery extensionMastectomy 1.0 1.0BCS 1.7 0.8-3.7 0.117 0.7 0.3-1.3 0.29

Systemic chemotherapyNo 1.0 1.0Yes 1.0 0.4-2.2 0.933 1.1 0.6-2.2 0.608

Local radiotherapyNo 1.0 1.0Yes 1.0 0.4-2.4 0.979 2.2 1.0-4.9 0.041

Hormonal therapyNo 1.0 1.0Yes 0.6 0.2-1.6 0.383 0.3 0.1-0.8 0.017

SubtypeLuminal A 1.0 1.0Luminal B 2.4 0.9-6.2 0.053 1.4 0.7-2.7 0.332Luminal-HER2 1.5 0.6-4.1 0.345 1.4 0.7-2.8 0.299HER2 enriched 2.5 0.6-9.7 0.162 1.0 0.3-3.0 0.880Triple negative 4.0 1.2-13.2 0.021 1.1 0.4-3.0 0.751

BCS indicates breast-conserving surgery; CI, confidence interval; HER2, human epidermal growth factor receptor 2; HR, hazard ratio.

Appl Immunohistochem Mol Morphol � Volume 00, Number 00, ’’ 2013 Breast Cancer Relapse Risk

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FIGURE 2. A, Bivariate analysis of recurrence-free survival in patients treated with breast-conserving therapy reveals significantdifferences among breast cancer intrinsic subtypes (log-rank test, P = 0.03). B, Bivariate analysis of local recurrence-free survival inpatients treated with breast-conserving therapy reveals significant differences among breast cancer intrinsic subtypes (log-ranktest, P = 0.013). Blue line, luminal A; red, luminal human epidermal growth factor receptor 2 (luminal-HER2); green, luminal B;violet, HER2 enriched; yellow, triple negative (basal and nonbasal).

Cruz et al Appl Immunohistochem Mol Morphol � Volume 00, Number 00, ’’ 2013

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mainly on BCS. Some studies had evidenced an asso-ciation between BC molecular subtype and recur-rences.3,6–8,11,12,14,16 However, other works had not foundrelationship of different subtypes to LR risk.23,24

Cheang et al12 did not make separate analysis ofmolecular subtypes and BC local therapies. They found inmultivariable analysis that luminal B and luminal-HER2were independently associated with increased risk ofcancer relapse and death when comparable with luminalA cancers. A case-control study evidenced that basal-likeTNP (ER, PR and HER2 negative, cytokeratin 5/6 pos-itive) and HER2 enriched (ER and PR negative, HER2positive) were associated with more aggressive pre-sentations of BC.7 A retrospective cohort compared TNPwith other BC subtypes.9 TNP was associated with pooreroverall survival and RFS.

The importance of BC subtype classification inpatients treated with BCS to predict relapse risk and

prognosis have been demonstrated.11,14,16 A cohort of 793patients treated with BCS found that HER2-enriched andTNP tumors were associated with an increased LR onmultivariable analysis.11 Multivariable analysis alsoshows increased DR to luminal B and TNP basal-likesubtypes. Millar and colleagues compared recurrencerates among 498 early-stage BCs treated with BCS. Theyfound a bigger 5-year locoregional recurrence to TNPtumors when compared with luminal A tumors on mul-tivariable Cox analysis.14

A cohort of 482 patients treated with BCS did notfind difference in LR rates between TNP and otherssubtypes of BCs, although a higher DR and poor prog-nosis were observed in TNP cancers versus other sub-types.23 Another study also did not find LR ratesdifference to TNP BC in 1601 patients, but they proposedthat TNP have a more aggressive transient clinical coursethan other forms of BC.24 Other cohort exhibited lower

TABLE 4. Five-Year RFS by Molecular Subtype

Breast-conserving Surgery Mastectomy

Subtype Relapses (n) RFS (95 CI) % Relapses (n) RFS (95 CI) %

Luminal A 4 (66) 93.9 (90.2-96.2) 14 (53) 73.6 (60.4-83.6)Luminal B 8 (32) 75 (54.3-87.1) 19 (41) 53.7 (38.7-67.9)Luminal-HER2 6 (29) 79.3 (60.1-89.8) 16 (38) 57.9 (42.2-72.1)HER2 enriched 3 (11) 72.7 (22.5-92.4) 15 (30) 50 (33.2-66.8)TNP 5 (14) 64.3 (17.1-87.5) 26 (48) 45.8 (32.6-59.7)

CI indicates confidence interval; HER2, human epidermal growth factor receptor 2; RFS, recurrence-free survival; TNP, triple-negative phenotype.

TABLE 5. Multivariable Cox Analysis of Local and Distant Relapse After Breast-conserving Surgery

Local Relapses (n=146) Distant Relapses (n=150)

Variables HR 95% CI P HR 95% CI P

Age (y)Above 40 1.0 1.040 and younger 2.6 0.8-8.9 0.107 4.1 1.2-14.0 0.02

Tumor size (cm)r2 1.0 1.02-5 1.6 0.6-4.0 0.262 2.0 0.8-4.8 0.097

Lymph nodesN0 1.0 1.0N1 2.4 0.7-7.9 0.143 3.1 0.9-10.2 0.052N2 5.8 0.8-40.5 0.076 13.9 2.1-88.2 0.005N3 10.3 1.1-107.1 0.05 19.5 3.0-123.9 0.002

Lymphovascular invasionNegative 1.0 1.0Positive 0.5 0.1-1.6 0.253 0.3 0.1-1.1 0.087

Systemic chemotherapyNo 1.0 1.0Yes 0.9 0.3-2.4 0.888 0.6 0.2-1.7 0.418

Hormonal therapyNo 1.0 1.0Yes 0.8 0.1-5.0 0.848 0.3 0.1-1.7 0.221

SubtypeLuminal A 1.0 1.0Luminal B 6.2 1.3-28.6 0.017 4.7 1.4-15.5 0.011Luminal-HER2 3.4 0.7-16.4 0.118 2.1 0.5-8.2 0.265HER2 enriched 9.1 1.1-73.0 0.036 1.2 0.1-10.3 0.812Triple negative 4.6 0.4-47.3 0.193 0.7 0.1-5.3 0.77

CI indicates confidence interval; HER2, human epidermal growth factor receptor 2; HR, hazard ratio.

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FIGURE 3. A, Bivariate analysis of recurrence-free survival in patients treated with mastectomy therapy reveals significant dif-ferences among breast cancer intrinsic subtypes (log-rank test, P = 0.005). B, Bivariate analysis of local recurrence-free survival inpatients treated with mastectomy therapy reveals significant differences among breast cancer intrinsic subtypes (log-rank test,P = 0.003). Blue line, luminal A; red, luminal human epidermal growth factor receptor 2 (luminal-HER2); green, luminal B; violet,HER2 enriched; yellow, triple negative (basal and nonbasal).

Cruz et al Appl Immunohistochem Mol Morphol � Volume 00, Number 00, ’’ 2013

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rates of LR and regional relapses and better prognosis toluminal A BC subtype.16 At the same sample they foundthat HER2 enriched was associated with a higher LR andregional relapses after BCS on multivariable analysis.

Other articles also showed the importance of sub-type classification on the relapse patients treated withmastectomy.10,16 Kyndi et al10 found that TNP andHER2-enriched subtypes were independent predictors tolocoregional relapse. In other study, luminal B, luminal-HER2, HER2 enriched, and TNP basal-like were asso-ciated with higher risk of LR and regional relapses aftermastectomy on multivariable analysis.16

In the current study, luminal A tumors exhibit thesmallest LR and DR rates, 6.7% and 15.1%, respectively.TNP and HER2 enriched exhibit the highest LR rates,38.7% and 26.8%, respectively. On multivariable anal-ysis, TNP was associated with higher LR, but none wasassociated with DR. Luminal B subgroup had a tendencyto LR (P=0.053). When the sample was divided by BCSand mastectomy, BC subtype classification was an in-dependent variable to relapse only in the BCS group.Multivariable analysis showed that in the BCS group,luminal B and HER2-enriched subtypes were related toincreased LR rates, but only luminal B achieved statistical

significance to DR. These results indicate an importantrole of Ki-67 in BC subtype classification. We adopted the14% cutoff, detaching patients with hormone receptorpositive and HER2 negative that presents worse RFS.Luminal B was the second largest BC subtype (20.2%) ofthis sample. Other studies also pointed the importance ofKi-67 on relapse prediction and worse prog-nosis.12,16,21,25–29 Cheang et al12 defined the Ki-67 cut-point of 13.25% to differentiate luminal B from luminal Atumors. They associated luminal B with smaller survivaland relapse-free survival when compared with luminal Atumors. Cutoff points for Ki-67 varied among otherstudies, described as 10% to 20%.16,29–32

Subtype classification related with regional relapsewas also described.16 In our sample, axillary dissectionwas performed in 295 patients (81.5%). Same as pre-viously described, this could explain the low axillar re-lapse rate (only 2.2%) evidenced in our sample.33–35 Nostatistical difference was found between subtype classi-fication and axillary relapses.

Same as Voduc et al16 and Nguyen et al,11 a majorlimitation of this cohort is the underuse of systemic ofadjuvant trastuzumab, only in 7 (1.9%) patients. Use oftrastuzumab would probably reduce relapses’ risk.

In conformity with previous works,11,12,14,16 wedemonstrated that a small panel of IHQ markers canidentify patients at increased relapse risk. However, stilltoday, clinical decision making is based basically on a fewprognostic factors (tumor size, lymph node status, histo-logic grade, lymphovascular invasion, hormone receptorstatus, HER2 status, and age).27,36,37

Randomized controlled trials should not only eval-uate new surgical, interventional, and systemic therapiesand their combinations within a multidisciplinary setting,but also assess the clinical value of biological markers toidentify responders to specific therapies.

Although further follow-up is needed, these resultsmay be useful in counseling patients about their antici-pated outcome after BC diagnosis.

CONCLUSIONSBC subtype classification is an important outcome

predictor tool. Luminal A tumors had best prognosis andthe lowest rate of LR and DR. TNP and HER2-enrichedtumors had higher relapses rates and worse RFS.

Use of Ki-67 to luminal B subtype classification wasa valuable prognostic marker, showing increased relapserisk. BC classification using 4 IHQ markers can identifypatients at an increased risk of LR and DR after BCS,contributing to decide about the extension of surgicalresection.

Despite the existence of gene expression profiling(Oncotype DX, MammaPrint), in the current study weanalyzed 4 IHQ markers as an alternative to identifyhigher recurrence risk patients. Randomized trials be-tween gene expression profiling and IHQ markers areneeded to indicate the most cost-benefit pattern of BCmolecular classification.

TABLE 6. Multivariable Cox Analysis of Local and DistantRelapse After Mastectomy

Local Relapse

(n=193)

Distant Relapses

(n=193)

Variables HR 95% CI P HR 95% CI P

Age (y)Above 40 1.0 1.040 and younger 0.2 0.06-1.2 0.092 0.4 0.1-1.1 0.081

Tumor size (cm)r2 1.0 1.02-5 1.1 0.3-3.4 0.858 1.5 0.6-3.7 0.332>5 2.7 0.8-9.1 0.105 2.4 0.9-6.5 0.062

Lymph nodesN0 1.0 1.0N1 0.5 0.1-2.2 0.448 1.2 0.5-2.8 0.582N2 5.2 1.7-15.8 0.003 4.4 1.9-10.3 <0.0001N3 2.9 0.9-9.1 0.058 3.3 1.4-7.4 0.004

Lymphovascular invasionNegative 1.0 1.0Positive 2.6 0.8-7.9 0.09 1.0 0.5-2.1 0.834

Systemic chemotherapyNo 1.0 1.0Yes 1.3 0.3-5.2 0.629 1.8 0.6-5.1 0.257

Local radiotherapyNo 1.0 1.0Yes 0.9 0.3-2.4 0.969 2.3 1.05-5.0 0.037

Hormonal therapyNo 1.0 1.0Yes 0.3 0.1-1.3 0.114 0.2 0.1-0.7 0.01

SubtypeLuminal A 1.0 1.0Luminal B 1.5 0.4-4.7 0.498 0.9 0.4-2.1 0.871Luminal-HER2 1.3 0.3-5.0 0.619 1.4 0.6-3.3 0.366HER2 enriched 0.8 0.1-4.9 0.88 0.7 0.2-2.4 0.602Triple negative 1.9 0.4-8.8 0.367 0.8 0.2-2.5 0.778

CI indicates confidence interval; HER2, human epidermal growth factorreceptor 2; HR, hazard ratio.

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