- EU SPIDIA Project Update -Standardization and Improvement of Generic
Preanalytical Tools and Procedures for In Vitro Diagnostics
5th Annual BRN SymposiumBethesda, February 22nd 2012
Dr. Uwe OelmuellerSPIDIA Coordinator (QIAGEN)
SPIDIA Project History and Goals
Results & StatusNew Technologies & ToolsPan-European GuidelinesBiospecimen Quality Markers
Agenda
Clinical Results
Patient Sample
Pre-analytical Workflow Analytical Assays
Diagnostic WorkflowFrom Patients to Clinical Results
Patient
Sample Collection
SampleLogistics
BioanalytePreparation
Anesthesiae.g. Drugse.g. Arterial Clamp Time
Patient Treatment
Life Style
Time 0
“Preanalytical errors still account for nearly 60%-70% of all problems occurring in laboratory diagnostics, most of them attributable to mishandling procedures during collection, handling, preparing or storing the specimens”.
Lippi G. et al.. Preanalytical quality improvement: from dream to reality. Clin Chem Lab Med. 2011 Jul; 49(7):1113-26. Epub 2011 Apr 25.
It is Real Problem
68 %
13 %
19 %
Preanalytics
Analytics
Postanalytics
Costs of ~ 460,000 $ / year in an average German hospital caused by pre-analytical errors
Frost & Sullivan 2011 on behalf of BD
Pan-European guidelines for preanalytics (Molecular – Blood, Tissue)
New pre-analytical tools & technologies (Blood, Plasma, Tissue, Swabs)
Sample quality markers (Blood, Tissue)
Training and dissemination
Project Main Goals
Program European Commission FP7-HEALTH
Consortium 7 public research organizations8 companies1 standards organization (CEN)
Coordinator QIAGEN GmbH
Run Time October 2008 – September 2012 (prolongation request intended)
Budget 13 Mio € (9 Mio € EC contribution)
Co-operations NCI / OBBR, CLSI, EFCC, BBMRI and other international initiatives and organizations
Web page www.spidia.eu
Newsletter
Project Facts
SPIDIA Project Project History and Goals
Results & StatusNew Technologies & ToolsPan-European GuidelinesBiospecimen Quality Markers
Agenda
New Tissue Fixation & StabilizationHistomorphology, IHC, RNA & DNA, Proteins
H&E Staining IDC of Breast
PAXg
ene
Form
alin
Estrogen Receptor a (clone 1D5) IDC of Breast
Kap M. et al., PLoS ONE 6(11): e27704 (2011) Viertler C. et al., submitted for publication Groelz D. et al., unpublished data.
PFPE revealed preservation of morphology and antigenicity comparable to FFPE
5
10
15
20
25
30
35
40
45
50
18s
CTN
NB
1C
OL1
A1
FN1
RH
OA
FOS
Gap
dhC
CN
D1
SP
P1
ER
BB
2IG
F1R
CD
H1
NFK
BIA
AK
T1C
DK
N1B
BC
L2L1
CD
K4
SH
C1
ITG
AV
TP53
AK
T2G
SK
3BB
AX
CD
KN
1AIT
GB
1TG
FB1
AB
L1H
PR
T1M
AP
K14
TCF3
SR
CN
FKB
1G
US
BE
LK1
VE
GFA
KR
AS
GR
B2
BC
AR
1R
AC
1B
CL2
SM
AD
4M
DM
2C
RK
NFK
B2
BR
AF
MA
PK
3FA
DD
PTE
NC
CN
D3
JUN
RE
LAP
TK2
DV
L1P
IK3R
1M
YC
CD
K2
NR
AS
TGFB
R2
CD
KN
2AM
AP
K1
MA
P2K
1R
B1
HR
AS
TGFB
R1
PTK
2BE
2F1
AP
CFZ
D1
CA
SP
9S
OS
1C
AS
P8
ITG
B3
BID
KD
RB
CL2
L11
MA
PK
8R
AF1
PIK
3CA
CC
ND
2M
AP
3K5
FAS
CC
NE
1FY
NLE
F1FG
F2E
GFR
IGF1
CY
CS
HG
FFA
SLG
ITG
A2B K
ITC
DC
42M
AX
CD
KN
2BW
NT1
genes (sorted by Ct cryo)
Ct
CRYOFFPEPFPE
MammacarcinomaTaqMan Array Gene Signature
Nucleic acid analysis superior to FFPE
FFPE
PFPE Cryo
fcNA Profiles in Whole Blood / PlasmaWhat is missing?
Studies for understanding fcDNAand fcRNA profile stability / changes in whole blood and in plasma
Development of fcDNA and fcRNA profile preservation technologies
Horlitz M. et al., unpublished data
EDTA blood was incubated for up to 6 days at room temperature. Blood fcDNApattern stability was determined by separating the purified plasma DNA on a 2100 Agilent Bioanalyzer
Fine Needle AspiratesStabilization of morphology, antigenicity, DNA, RNA, proteome
Whole BloodStabilization of cell morphology and biomolecule profiles
SwabsStabilization and improved processing of respiratory and samples for molecular analysis
Stabilized Whole Blood Integrated automated sample-to-result workflows (cellular RNA, ncRNAs incl. miRNAs)
Ongoing Technology & Tools Developments for Other Sample Types
SPIDIA Project Project History and Goals
Results & StatusNew Technologies & ToolsPan-European GuidelinesBiospecimen Quality Markers
Agenda
Phase 1 Trials - Laboratories used their workflows & tools
Let by Prof. Pazzagli (Univ. Florence), supported by the EFCC
Guidelines / Standards Concepts - CEN
Phase 2 Trials - Laboratories will use SPIDIA’s optimized workflows
Guidelines / Standards Developments - CEN
92 %276299Total
93 %6267Plasma DNA
93 %121130Blood DNA
91 %93102Blood RNA
Percentage of NA samples sent back
Participants who sent NA samples back
No. ofParticipants (29
countries)SPIDIA Trials
Evidence Based Guidelines Examples Blood DNA & RNA, Plasma fcDNA
Blood storage time before DNA extraction• 39 labs: ≤ 6 days• 60 labs: 6 – 10 days• 53 labs: ≥ 10 days
Blood storage temperature before DNA extraction• 18 labs: -20 ˚C• 129 labs: +4 ˚C• 9 labs: ambient temp.
Isolated DNA storage before analysis• 20 labs: -20 ˚C• 111 labs: +4 ˚C• 27 labs: ambient temp.
Blood DNA Trial 1 - Examples for Pre-analytical Workflow Variations
Pazzagli M. et al., manuscript in preparation
High molecular weight DNA integrity: degradation, fragmentationHigh variability among samples
48,5
145,5
23,1
9,42
6,55
97,0
194,0
4,36
[kb]
3 17 63 82 88 103 118 120 130 138 175 183 207 1 14 49 52 65 78 100 124 125 169 195 203
DNA Length Variation – Pulse Field Gel Electrophoresis
Hartmann C. et al., unpublished results
195 kb4.36 kb
Impact of DNA quality on Immune T cell Repertoire Analysis (ImmunID Technologies)
Lost of all long V–J rearrangementsLost of part of intermediate length rearrangements
L. Barraud et al. Unpublished data
Ref. DNA from UNFI (DIV 54%) Sample 38 (Poor quality) (DIV 32%)
V contribution for each J gene – Research Trial (ImmunID Technologies, France)
Blood RNA Ring Trial Parameters
Purity
Interference substances (RT-qPCR)
Yield
Integrity
RNA Profile Stability / Changes
Human EDTA Blood stored at Room Temperature over 3 days
IL-1β mRNA
Changes of Transcripts Profiles in Blood Individual Samples React Differently
Guenther K. et al.. AMP Poster (2005)
Learning from Blood RNA Ring Trial 1
No pooling of different donors’ blood • Accept that only sub-groups of ring trial participating
laboratories get the same blood samples
No usual blood collection bags • Use dedicated EDTA bags
Immediate cooling of blood bags• Artificial gene induction and down regulation to be avoided
Use of intracellular RNA markers • External markers will behave differently
Empty bag
- Filled with 39 ml of EDTA solution under sterile condition
- Filled with 461 ml blood from phlebotomy
1 bag - 1 donor
Blood RNA Second Ring Trial Preparation of Blood Samples
BD EST Plastic Tubes
PAXgene Blood RNA Tubes
Proficiency Testing for Preanalytical Workflows used for Blood RNA Analysis
K. Günther, F. Malentacchi, P. Verderio, S. Pizzamiglio, C. M. Ciniselli, A. Tichopad, M. Kubista, R. Wyrich, M. Pazzagli, S. Gelmini. Implementation of a proficiency testing for the assessment of the preanalytical phase of blood samples used for RNA based analysis. Clin Chim Acta (2012) – in press.
Guenther K. et al. Clin Chim Acta. 2012, in press.
Blood Sample Shipment - RNA Profile ChangesStabilized vs. EDTA Blood
Box plots reflecting the mRNA expression of GAPDH (Panel A), IL1B (Panel B), IL8 (Panel C), and FOS (Panel D) measured in the three sample types REF, RNA A (PAXgene Blood RNA) and RNA B (EDTA). Each box indicates the 25th and 75th percentiles. The horizontal line inside the box indicates the median, and the whiskers indicate the extreme measured values. The dotted horizontal line indicates the median value of the REF samples (prior shipment) and serves for comparison.
SPIDIA Project Project History and Goals
Results & StatusNew Technologies & ToolsPan-european GuidelinesBiospecimen Quality Markers
Agenda
Quality markers measuring RNA up- & down-regulation • >180 micro arrays (time course experiments)• 11 marker candidates (specific RNA degradation or gene down regulation,
specific RNA gene induction, random degradation)• Technical assay validation • Next step: Performance validation within larger donor cohorts
Blood RNA Quality Marker Discovery
Rian E. et al., unpublished data
‐1.0
0.0
1.0
2.0
3.0
4.0
5.0
0 2 6 24 48 72
hLMNA_SFw
p=4.28*10‐7p=3.17*10‐6
p=7.29*10‐7
p=0.33p=0.46
QIAGEN GmbH - CoordinatorMedical University of Graz (Prof. K. Zatloukal)University of Florence (Prof. M. Pazzagli)CIRMMP Florence, CERM (Prof. I. Bertini)TATAA BiocenterPreAnalytiX GmbHDIAGENIC ASAAros Applied BiotechnologyDako Denmark ACIESBiotechnology Inst. of Czech Academy of Science (Prof. M. Kubista)European Committee for Standardization (CEN)ImmunID TechnologiesErasmus Medical Center Rotterdam (Prof. P. Riegman)Technical University Munich (Prof. H. Hoefler, Prof. K. Becker)Fondazione IRCCS Istituto Nazionale dei Tumori (Dr. P. Verderio)
AcknowledgementSPIDIA Consortium Members
Scientific Advisory BoardProf. François Rousseau (Univ. Laval, Quebec. CanGeneTest Network)Dr. Roberta M. Madej (CLSI)
Project Ethics CommitteeDr. Anne Cambon-Thomsen (CNRS, INSERM, Tolouse, France)Dr. Ruth Chadwick (ESRC Centre, Cardiff University, UK)
SPIDIA ConsortiumBi-Annual Meeting Berlin November 2011
Questions ?
Thank you!