10 years of nordiqc - ciqc - cpqacpqa.ca/main/wp-content/uploads/2015/06/vyberg.pdf · multi-tissue...
TRANSCRIPT
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Mogens Vyberg & Søren Nielsen NordiQC Institute of Pathology Aalborg University Hospital Aalborg, Denmark
10 years of NordiQC Why are 30% of
labs still getting it wrong?
May 29th 2015
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• Nothing to declare
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• International organization for quality assurance of IHC
• Founded 2003 by Nordic pathologists
• Independent, scientific, not-for-profit organisation
• Institute of Pathology, Aalborg University Hospital, DK
• General module: 3 runs/year • 15-18 different marker challenges
• Breast cancer IHC module: 2 runs/y • HER-2, ER/PR, Ki67/E-Cad …
• HER-2 ISH module: 2 runs/year • BRISH, FISH
• www.nordiqc.org
Nordic immunohistochemical Quality Control
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4
WW
W.N
OR
DIQ
C.O
RG
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WW
W.N
OR
DIQ
C.O
RG
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Multi-tissue FFPE blocks
10% NBF 24-48 h (ASCO/CAP guidelines …)
• Normal and clinically relevant tumour tissues
• Different levels of antigen expression
• high, moderate, low, none
Test material
2 unstained slides for each marker send to the participants
1 stained slide returned for central assessment
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The slide to be stained for Bcl-6 comprised: 1. Tonsil, 24 h.
2. Tonsil, 48 h.
3. Follicular lymphoma, grade I
4. Follicular lymphoma, grade II
5. Diffuse large B-cell lymphoma
Test material
HE
LE
NE
• Tissue selection • High • Low • None
Expressor
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Nordic immunohistochemical Quality Control
0
100
200
300
400
500
600
700
800
900
2009 2010 2011 2012 2013 2014 2015
Participants
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~ 90 Markers in
NordiQC runs
Tested
1-15 times
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NordiQC test - haempath
1x 2x 3x 4x 5x
CD8, CD14, CD19, CD163,
IgL, MUM1 X
ALK, BSAP, Bcl2, CD45,
CD56, CD138, p53, TdT X
Bcl6, CD4, CD20, CD34,
CD68, CD79a, IgK, Ki67 X
CD3, CD10, CD23, CD30,
Cyclin D1, IgM X
CD5, CD15 X
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35%
33%
21%
11%
Optimal
Good
Borderline
Poor
NordiQC assessment results 2003 – 2014
General module ~ 20,000 slides ( ~100.000 core sections)
Insufficient 32%
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58% 21%
9% 12%
Optimal
Good
Borderline
Poor
NordiQC assessment results 2003 – 2014
Breast cancer module ~ 9,000 slides (~35,000 core sections)
Insufficient 21%
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Publications
AIMM 2014, 22:449
AIMM 2013, 21:64
AIMM 2011, 19:437
AJCP 2005,124:782
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Publications
AIMM 2015, 23:1
AIMM 2014, 22:241
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Lab. A Lab. B
Serial sections stained for Estrogen receptor
ER in ductal breast carcinoma
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Serial sections stained for Estrogen receptor
Lab. A Lab. B
False neg.
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Serial sections stained for Estrogen receptor
Control: uterine cervix
Lab. A Lab. B
False neg.
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Serial sections stained for Estrogen receptor
Control: uterine cervix
Clone 6F11 in 15/37 labs Clone SP1/EP1/1D5 in 225 labs
False pos.
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NordiQC runs for HER2 IHC
CK7
Ampl. 3+ Ampl. 2+ Unampl. 2+ Unampl. 0
Optim
al
Ampl. 3+ Ampl. 1+ Unampl. 1+ Unampl. 0
Poor
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NordiQC runs for HER2 IHC
CK7
Ampl. 3+ Ampl. 2+ Unampl. 2+ Unampl. 0
Optim
al
Ampl. 3+ Ampl. 2+ Unampl. 3+ Unampl. 1
Poor
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Optimal: 36%
Good: 33%
Borderline:
Poor:
too weak / false neg.: ~ 90%
over-stained / false pos.: ~ 10% { 31% }
NordiQC general results
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Major causes of insufficient stains in ~ 9,000 slides
Less successful antibodies/RTUs 17 %
Inappropriate antibody dilution 20 %
Inappropriate epitope retrieval 27 %
Inappropriate detection kit 19 %
Other inappropriate lab. performance 17 %
Endogenous biotin reaction (EBR)
Section drying-out after HIER
Technical platform error
. . . .
Unexplained
NordiQC general results 2003 – 2013
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Less successful antibodies 17 %
Poor antibodies
Poor ready-to-use formats
Less robust antibodies
Platform dependent antibodies
Other error-prone antibodies
• Lot-to-lot variation
• Mouse-anti-Golgi (MAG) reaction
• Poor cocktail composition
• ….
NordiQC general results
NordiQC regrets any offence caused to laboratories and companies …
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Poor antibodies
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Poor antibodies (few examples)
Antigen Clone High
expressor
Low
expressor
Non
expressor
CD5 CD5/54/F6 √ FN –
CD23 MHM6 √ FN –
CD31 1A10 (√) FN –
CD31 SP38 * (√) FN –
CD138 5F7 (√) FN –
CDX2 SP54 * (√) FN FP
CDX2 CDX2-88 √ FN FP
CEA TF-3H8-1 √ √ FP
CGA DAK. A3 √ FN –
PR SP2 * √ √ FP
SYP SY38 √ FN –
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Poor antibodies: CD5
CD5 N Sufficient* Optimal*
4C7 conc 145 74% 49%
SP19 conc 11 91% 46%
CD5/54/F6 conc 28 4% 0%
* With optimal protocol settings
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Poor antibodies: CD5
SP19 CD5/54/F6
Tonsil
B-C
LL
TP FN
FN TP
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Optimal (16%)
Poor antibodies: CD31
JC70A 1A10
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Optimal (16%)
Poor antibodies: CD31
JC70A 1A10
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Optimal (16%)
Poor antibodies: CD31
JC70A 1A10
Haemangiosarcoma
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NordiQC performance
Not Dako Dako
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Poor antibodies – MLH1
MLH1 clone ES05 MLH1 clone EPR3894
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Poor RTU formats
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Replace laboratory developed assays
Reduce workload to calibrate and validate IHC assays
Reduce need for technical competences in IHC
Optimize workflow / reduce protocol variables
Add value to inter- and intra-laboratory consistency
Requires a correctly calibrated system
Requires precise information on protocol and control
Ready-To-Use system potential:
NordiQC performance
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NordiQC performance
Proportion of protocols based on concentrates vs. RTU formats in NordiQC
AMACR CD10 CK LMW CK HMW MLA
BCL2 BCL6 BSAP CD99 EMA WT1
BCL6 CD15 GLP3 MLA PAX8
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NordiQC assessment
760-2505: HIER
CD45 RTU format Vendor protocol Off-label protocol
Epitope retrieval None HIER CC1, 64 min.
Primary Ab inc. 16 min. 16 min.
Detection system 2-step multimer 3-step multimer
Control Tonsil Tonsil + liver
Reaction pattern Lymphocytes Lymphocytes + macroph.
Assessment score Borderline – False neg. Optimal
Tonsil + liver
Plasmacytoma
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CD5 Run 24 N Sufficient* Optimal*
SP19 conc 11 91% 46%
SP19 RTU Dako 3 100% 100%
SP19 RTU VMS 14 79% 14%
Poor RTU formats: CD5
* With optimal protocol settings
FN
CD5 Run 34 N Sufficient* Optimal*
SP19 RTU VMS 33 97% 97%
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Poor RTU formats: CGA
LK2H10 REF
pAb RTU Company 1
mAb LK2H10 RTU Company 3
mAb LK2H10 RTU Company 2
Medullary carcinoma
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Poor RTU formats: CGA
Small cell carcinoma
LK2H10 REF
pAb RTU Company 1
mAb LK2H10 RTU Company 3
mAb LK2H10 RTU Company 2
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Platform dependant antibodies
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Platform dependent antibodies Antigen Clone XT / Ultra
automated
Bond-max automated
Autostainer semiautomated
CD4 1F6 FN Weak √
SP35 √ √ √
CD56 123C3 FN Weak √
MRQ-42 √ ? √
CD79a JCB117 Weak √ √
SP18 √ √ √
BSAP/Pax5 24 FN Weak √
SP34 √ √ √
BCL6 PG-B6p FN Weak √
GI191E/A8 √ √ √
SYP 27G12 Weak √ √
MRQ-40 √ √ √
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Hodgkin lymphoma NS
clone SP34 RTU VMS/CM
clone 24 RTU VMS/CM
Platform dependent antibodies: PAX5
x200 x200
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Inappropriate antibody dilution
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Inappropriate antibody dilution – Ig light chains
~1:300 ~1:3.000 ~1:30.000
IgK: Dako pAb A0191
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Inappropriate antibody dilution – Ig light chains
239 IgK tests, 12 Abs:
12% optimal
Dako pAb A0191:
17% optimal
+TRS/Ci 3.000-16.000:
29 % optimal
All other Abs:
0% optimal
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48
Inappropriate visualization system
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NordiQC run 41/42 2014 - MMR
MMR MLH1 mAb clone ES05, 1:20 Leica
UltraView + Amplification OptiView + Amplification (Tyr.)
1’ generation 3-step multimer, VMS 2’ generation 3-step multimer, VMS
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NordiQC run 41 2014 – PMS2 131 labs
NO
mu
tation
Optimal: 47% Insufficient: 15%
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NordiQC run 41 2014 – PMS2 131 labs
Mu
tation
Optimal: 47% Insufficient: 15%
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NordiQC run 41 2014 – PMS2 131 labs
Mu
tation
Optimal: 47% Insufficient: 15%
•Too dilute Ab •Insufficient HIER •Insensitive viz system
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Inappropriate epitope retrieval
&
Misleading data sheets
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Inappropriate retrieval (31%)
AE1/AE3 + HIER AE1/AE3 + proteolysis
Liv
er
RCC
FN TP
FN TP
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Misleading datasheets
Giving false negative results when only LMW-CKs are present
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Misleading datasheets – improved information
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IHC - NordiQC 2014
AE1/AE3 : Optimal results only obtained by HIER in NordiQC runs
Dako: RTU – HIER Conc: Proteolysis or HIER Leica: RTU – Proteolysis Conc: HIER Thermo: Conc: HIER Quanto – Proteolysis UltraVision ………… VMS: RTU - Proteolysis Misleading data sheets + Wrong control material used
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By 17th October 2014
Improved datasheets
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NordiQC run 41 2014 – ECAD 271 labs
False positive: EP700Y
Fra: Galloway, Mary [mailto:[email protected]] Sendt: 13. november 2014 01:14 Til: Søren Nielsen / Region Nordjylland
Emne: RE: Changes Made to Package Inserts
Sören,
Thanks for identifying and alerting us to the issues with … anti-Pan Keratin.
The package inserts are now changed (see links below).
I hope we can continue to learn of any future staining problems you may
uncover.
Much appreciated!
Mary
RCC
FN TP
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Misleading datasheets Antigen Clone Company Datasheet Result
CGA Lk2H10 VMS No retrieval FN
CK8 5D3 Leica RTU: HIER
Conc: proteolysis
Confound
FN
CK19 RCK108 BioGenex Proteolysis FN
CK19 B170 Leica Proteolysis FN
CKPan AE1/AE3 VMS/Dako Proteolysis FN
CD34 QBEnd 10 Leica RTU: HIER
Conc: proteolysis
Confound
FN
CD34 QBEnd 10 VMS Changed from no
retrieval to HIER
FN /
OK
CD68 KP1 Thermo Proteolysis FN
DES DE-R-11 Cell Marque Proteolysis FN
PLAP PL8-F6 BioGenex No retrieval FN
VIM 3B4 VMS Proteolysis FN
WT1 6F-H2 Dako RTU: HIER
Conc: proteolysis
Confound
FN
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Misleading datasheets
Giving false negative results in low expressing cells and tumours
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Tailored NordiQC recommendations
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Tailored recommendations
Replace less successful antibodies (conc./RTU)
Calibrate the antibody concentration
Use HIER (instead of proteolysis or no retrieval)
Increase HIER time / temperature / buffer pH
For 95% of epitopes pH 8-9 is preferable to pH 6
Use a non-biotin based viz. system
Use FDA approved kits instead of home-brews
. . . . .
Improve the internal QC: Identify the right controls –
Select well defined normal low expressor cells/tissues
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419 advices for 11 markers
No. Improved %
Positive 268 195 73
Negative 151 21 14
Results of NordiQC recommendations
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NordiQC EQA: Estrogen Receptor 2003-11
0
10
20
30
40
50
60
70
80
90
100
8 10 13 B1 B3 B5 B7 B8 B10 B11 B13 B15 B17
PASS RATE (%)
45%
87%
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NordiQC EQA: Estrogen Receptor 2003-11
0
10
20
30
40
50
60
70
80
90
100
8 10 13 B1 B3 B5 B7 B8 B10 B11 B13 B15 B17
PASS RATE (%)
70
281 122
141
197
Participants
45%
87%
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HER-2 staining results in 17 runs
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Roche – NordiQC joint venture
”Normalized” to the American breast cancer population
*
* The large majority due to 1+ reactions in amplified 2+ tumours
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Roche – NordiQC joint venture
”Normalized” to the American breast cancer population
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Roche – NordiQC joint venture
For each 1$ saved by the pathology lab by usage of cheaper reagents, the healthcare system is ultimately burdened with ~ 6$
Immunohistochemical expression of HER2 in breast cancer:
Socioeconomic impact of inaccurate tests
Vyberg M, Nielsen S, Røge R,
Sheppard B, Ranger-Moore J, Walk E, Gartemann J, Rohr UP, Teichgräber V
NordiQC, Aalborg, DK, Ventana Medical Systems Inc, Tucson, AZ ,
F. Hoffmann-La Roche Ltd, Basel, Switzerland
Submitted for publication
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Almost 1/3 of all IHC stains produced by NordiQC
participants are still insufficient !
New labs
New antibodies, techniques, platforms
Increasing demands
How many IHC stains produced by labs not
participating in an EQA scheme are insufficient ?
How many scientific publications are based on
insufficient IHC stains ?
What are the consequences for the patients ?
Perspective
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External Quality Assurance (EQA)
Provides objective evidence of lab performance
Identifies methodological errors
Provides directions for improvements & controls
The results of the NordiQC work indicate that
Improvement of IHC is strongly needed
EQA schemes, industry and KOL must align - describing the requirements for optimal IHC performance.
Conclusion
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Thank you for your attention!