ctc detection and molecular characterization – challenges and solutions
TRANSCRIPT
Sample to Insight
CTC Detection and Molecular Characterization – Challenges and Solutions
Dr. Siegfried Hauch
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Sample to Insight
Legal disclaimer
2
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For up-to-date licensing information and product-specific disclaimers, see the respective QIAGEN kit handbook or user manual. QIAGEN kit handbooks and user manuals are available at www.QIAGEN.com or can be requested from QIAGEN Technical Services or your local distributor.
Sample to Insight
Agenda
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AdnaTest beginning: prognostic information
1.1 The COCP principle
1.2 The EpCam problem
AdnaTest solutions
2.1 Leukocyte bias
2.2 EMT and stemness in CTCs
2.3 CTC metabolic pathways
2.4 Future solutions
Summary
Questions
1
2
3
4
Sample to Insight
Agenda
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AdnaTest beginning: prognostic information
1.1 The COCP principle
1.2 The EpCam problem
AdnaTest solutions
2.1 Leukocyte bias
2.2 EMT and stemness in CTCs
2.3 CTC metabolic pathways
2.4 Future solutions
Summary
Questions
1
2
3
4
Sample to Insight
The AdnaTests
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The Combination of Combinations Principle (COCP)
Immunomagnetic cell enrichment • Tumor cell enrichment using magnetic particles
conjugated with an antibody mixture
mRNA isolation and RT• mRNA stabilization • mRNA isolation with oligo(dT) magnetic beads• cDNA synthesis using reverse transcription
Multiplex-PCR• Expression analysis of tumor-associated markers
Sample to Insight
AdnaTest: the circulating tumor cell (CTC) revolution
Blood sampling Determination of prognostic or
predictive biomarkers (liquid
biopsy)
Turn around time: 5hCTC enrichment
using multi antibody-labelled magnetic beads
Lysis of the enriched cells
RT and multiplex PCR
Two-step procedure for the enrichment of CTCs from blood samples:1. Immunomagnetic-capturing using a multi-antibody mix
2. Multiplex RT-PCR to determine the number of tumor-associated transcripts
◦ Every AdnaTest uses different antibody mixtures optimized for each tumor entity◦ The method is an easy and straightforward manual assay
Type AdnaTest in questions box to request further information
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Sample to Insight
Available AdnaTests
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AdnaTest Target Genes
AdnaTest BreastCancer (CE) Muc-1, Her2, EpCAM, ER/PR
AdnaTest ProstateCancer (CE) PSA, PSMa, EGFR, AR
AdnaTest ColonCancer (CE) EpCAM, EGFR, CEA
AdnaTest OvarianCancer (CE) EpCAM, Muc-1, CA-125, ERCC1
AdnaTest OvarianCancer-2 (non-CE) EpCAM, Muc-1, CA-125, ERCC1
AdnaTest EMT-1/StemCell (non-CE) Muc-1, Her2, EpCAM, ALDH1, Pi3K, Akt2, Twist
AdnaTest EMT-2/StemCell (non-CE)ALDH1, Pi3K, Akt2, Twist and choice of breast, colon, prostate or ovarian PCR
Sample to Insight
Agenda
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AdnaTest beginning: prognostic information
1.1 The COCP principle
1.2 The EpCam problem
AdnaTest solutions
2.1 Leukocyte bias
2.2 EMT and stemness in CTCs
2.3 CTC metabolic pathways
2.4 Future solutions
Summary
Questions
1
2
3
4
Sample to Insight
Agenda
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AdnaTest beginning: prognostic information
1.1 The COCP principle
1.2 The EpCam problem
AdnaTest solutions
2.1 Leukocyte bias
2.2 EMT and stemness in CTCs
2.3 CTC metabolic pathways
2.4 Future solutions
Summary
Questions
1
2
3
4
Sample to Insight
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Increased sensitivity in colon cancer
CS Ck8/18 Adnatest0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
90.00%
100.00%
Posi
tive
case
s
EpCam EGFR CEA0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
Freq
ueny
in A
DN C
TC+
case
s
Targeting two EpCam variants instead of one for enrichment seems to be important, but also the choice of the PCR targets dramatically increases CTC detection sensitivity in colorectal cancer.
Raimondi et al. Cancer Biol Ther. 2014 May;15(5):496-503
Sample to Insight
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Increased sensitivity in prostate cancer
0 1-4 5-10 ≥100
2
4
6
8
10
12
14
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Patient distribution (CellSearch)# of patients detected by AdnaTest (%)
CTC#/7.5ml blood
Posi
tive
case
s
Samoila et al. 2012 Poster at http://www.adnagen.com/m089v01_upload/Samoila_poster_2012.pdf
Prostate cancer detection also seems to benefit from targeting Her2, considering the significant number of low-EpCam cases.
Sample to Insight
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Increased sensitivity in breast cancer
EpCam Muc1 Her20%5%
10%15%20%25%30%35%40%45%50%
frequ
ency
in A
DN C
TC+
case
sCS (cutoff
2 cells)CS (cutoff
5 cells)AdnaTest
totalEpCam Muc1 Her2
0%
10%
20%
30%
40%
50%
60%
47%
36%
53%
# of
pos
itive
cas
es
Using EpCam as well as high- and low-glycosylated MUC1, target sensitivity increases 17% over the gold standard as per definition.
Andropoulou et al. ; Int J Cancer. 2012 Apr 1;130(7):1590-7
Sample to Insight
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Increased sensitivity in lung cancer
CS AdnaTest0%
5%
10%
15%
20%
25%
30%
35%
# of
pos
itive
cas
es
Pi3KCA Akt2 ALDH10%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
frequ
ency
in A
DN C
TC+
case
s
In lung cancer, the AdnaTest EMT2 provides additional antibodies against Her2 and EGFR. This doubles performance and choosing the right detection markers increases even more.
Hanssen et al. ; Nature Sci Rep. 2016 Jun 15;6:28010.
Sample to Insight
Agenda
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AdnaTest beginning: prognostic information
1.1 The COCP principle
1.2 The EpCam problem
AdnaTest solutions
2.1 Leukocyte bias
2.2 EMT and stemness in CTCs
2.3 CTC metabolic pathways
2.4 Future solutions
Summary
Questions
1
2
3
4
Sample to Insight
Agenda
15
AdnaTest beginning: prognostic information
1.1 The COCP principle
1.2 The EpCam problem
AdnaTest solutions
2.1 Leukocyte bias
2.2 EMT and stemness in CTCs
2.3 CTC metabolic pathways
2.4 Future solutions
Summary
Questions
1
2
3
4
Sample to Insight
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Leukocyte bias
100 1000 100000
5
10
15
20
25
CD45Akt2Her2Notch1Parp1Pi3KSRC1Gapdh
Number of leukocytes
35 -
Ct
Sample to Insight
Example: repeated specificity and sensitivity comparison
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Series 1 Series 2 Series 3 Series 4 Series 5 Series 6
CTC+ (0 spiked cells) 0/21 0/20 0/22 1/20 0/20 1/20
CTC+ (2 spiked cells) 16/20 21/22 17/21 19/20 20/20 18/20
CTC+ (5 spiked cells) 20/21 22/22 22/22 19/20 20/20 19/20
Specificity Recovery (2 cells) Recovery (5 cells)86%
88%
90%
92%
94%
96%
98%
100%
Six different AdnaTest Breast lots
Sample to Insight
Leukocyte reduction is critical to minimize leukocyte bias
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S1 S2 S3 S4 S5 S6 S7 S8 S9 S100
5
10
15
20
25
30Leukocyte reduction using AdnaWash
AdnaWash PBS
ng/µ
l CD
45 fr
agm
ent c
once
ntra
tion
Sample to Insight
Agenda
19
AdnaTest beginning: prognostic information
1.1 The COCP principle
1.2 The EpCam problem
AdnaTest solutions
2.1 Leukocyte bias
2.2 EMT and stemness in CTCs
2.3 CTC metabolic pathways
2.4 Future solutions
Summary
Questions
1
2
3
4
Sample to Insight
Agenda
20
AdnaTest beginning: prognostic information
1.1 The COCP principle
1.2 The EpCam problem
AdnaTest solutions
2.1 Leukocyte bias
2.2 EMT and stemness in CTCs
2.3 CTC metabolic pathways
2.4 Future solutions
Summary
Questions
1
2
3
4
Sample to Insight
The meaning of CTC
What kinds of CTCs might be relevant?
McAllister, S.S. et al. (2008) Systemic endocrine instigation of indolent tumor growth requires osteopontin. Cell 133(6), 994-1005.
Primary tumor
Tumor cell dissemination
Most of the cells die
Tumor stem cells
Metastasis at the same site or at distant organs
Dormant cells
?
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Sample to Insight
Her2 in CTCs form metastatic breast cancer
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Comparing Her2 in CTCs and primary tissue
n = 60
ADN+/Histo+
ADN-/Histo-
ADN+/Histo-
ADN-/Histo+17
30
21
32
Sample to Insight
ER, PR and Her2 expression in CTCs in breast cancer
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Comparing ER, PR and Her2 expressions in CTCs and primary tissue
ER PR HER20
10
20
30
40
50
60
70
80
90
CTCPT
Fehm, T. Detection and characterization of circulating tumor cells in blood of primary breast cancer patients by RT-PCR and comparison to status of bone marrow disseminated cells et al., (2009) Breast Cancer Res. 11(4), R59.
Sample to Insight
EMT and tumor stem cells in metastatic breast cancer
Epithelial-mesenchymal transition (EMT) / stem cell (SC) markers in correlation with CTCs
Aktas, B. et al. (2009) Stem cell and epithelial-mesenchymal transition markers are frequently overexpressed in circulating tumor cells of metastatic breast cancer patients. Breast Cancer Res. 11(4), R46.
Twist Akt2 Pi3k ALDH10%
10%
20%
30%
40%
50%
60%
70%
80%
42%
62%58%
69%
7%4% 4%
14%
CTC+ CTC-
Cor
rela
tion
with
CTC
s
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Sample to Insight
EMT and tumor stem cells in metastatic breast cancer
Aktas, B. et al. (2009) Stem cell and epithelial-mesenchymal transition markers are frequently overexpressed in circulating tumor cells of metastatic breast cancer patients. Breast Cancer Res. 11(4), R46.
EMT / SC markers in correlation with therapy response
Twist Akt2 Pi3k ALDH10%
10%
20%
30%
40%
50%
60%
70%
32%
44%41%
62%
10% 10% 10%
5%
Non-responder Responder
Clin
ical
cor
rela
tion
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Sample to Insight
Agenda
26
AdnaTest beginning: prognostic information
1.1 The COCP principle
1.2 The EpCam problem
AdnaTest solutions
2.1 Leukocyte bias
2.2 EMT and stemness in CTCs
2.3 CTC metabolic pathways
2.4 Future solutions
Summary
Questions
1
2
3
4
Sample to Insight
Agenda
27
AdnaTest beginning: prognostic information
1.1 The COCP principle
1.2 The EpCam problem
AdnaTest solutions
2.1 Leukocyte bias
2.2 EMT and stemness in CTCs
2.3 CTC metabolic pathways
2.4 Future solutions
Summary
Questions
1
2
3
4
Sample to Insight
Gene expression analysis in breast cancer
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PI3KCACD44
EPCAMPTEN
TWISTHER2KRAS
ALDH1mTORESR1AKT2
CD24L4EGFR
PGRMUC1CD45
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
Frequency of gene expression
Frequency
Gen
e
Bredemeier, Kasimir-Bauer et al. (2013) Poster, AACR
Sample to Insight
Some cases in detail
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CD
44C
D24
L4A
LDH
1E
PC
AM
MU
C1
ES
R1
EG
FRP
GR
HE
R2
AK
T2P
TEN
TWIS
Tm
TOR
PI3
KC
AK
RA
SC
D45
0123456
Expression profile Patient P
Gene
Delta
C(t)
CD
44C
D24
L4A
LDH
1E
PC
AM
MU
C1
ES
R1
EG
FRP
GR
HE
R2
AK
T2P
TEN
TWIS
Tm
TOR
PI3
KC
AK
RA
SC
D45
0123456
Expression profile Patient G
Gene
Delta
C(t)
CD
44C
D24
L4A
LDH
1E
PC
AM
MU
C1
ES
R1
EG
FRP
GR
HE
R2
AK
T2P
TEN
TWIS
Tm
TOR
PI3
KC
AK
RA
SC
D45
0123456
Expression profile Patient M
Gene
Delta
C(t)
CD
44C
D24
L4A
LDH
1E
PC
AM
MU
C1
ES
R1
EG
FRP
GR
HE
R2
AK
T2P
TEN
TWIS
Tm
TOR
PI3
KC
AK
RA
SC
D45
0123456
Expression profile Patient I
Gene
Delta
C(t)
Bredemeier, Kasimir-Bauer et al. (2013) Poster, AACR
Sample to Insight
Patient groups
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Epithelial EMT-Like Stem-like
Patient G Patient P Patient I Patient M
Sample to Insight
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The AdnaPanel Breast: profile changes before and after therapy
Bredemeier, Kasimir-Bauer et al. (2014) Poster, AACR
Sample to Insight
32
The AdnaPanel Breast: marker groups
Bredemeier, Kasimir-Bauer et al. (2014) Poster, AACR
Sample to Insight
33
p-values in red indicate statistical significance
The AdnaPanel Breast: profiles help predict responsiveness
Bredemeier, Kasimir-Bauer et al. (2014) Poster, AACR
Before therapy After therapy
CTC phenotype
Epithelial-like 0.16 0.017
Receptor expression 0.47 0.88
Resistance marker 0.08 0.064
EMT-like 0.82 0.71
Stem cell-like 0.43 0.053
Genes detected in CTCs
HER2/Aurak 0.09 0.14
Her3/Aurak 0.085 0.014
EGFR/Aurak 0.014 0.98
EPCAM/Aurak 0.02 0.013
EPCAM/EGFR/Aurak 0.01 0.11
Sample to Insight
Agenda
34
AdnaTest beginning: prognostic information
1.1 The COCP principle
1.2 The EpCam problem
AdnaTest solutions
2.1 Leukocyte bias
2.2 EMT and stemness in CTCs
2.3 CTC metabolic pathways
2.4 Future solutions
Summary
Questions
1
2
3
4
Sample to Insight
Agenda
35
AdnaTest beginning: prognostic information
1.1 The COCP principle
1.2 The EpCam problem
AdnaTest solutions
2.1 Leukocyte bias
2.2 EMT and stemness in CTCs
2.3 CTC metabolic pathways
2.4 Future solutions
Summary
Questions
1
2
3
4
Sample to Insight
36
Molecular classification of the primary tumor FFPE
48 genes expression testing
Preamplification of cDNA for 33 genes
K. Kolostova, S. Kasimir-Bauer et al., Cellular and Molecular Biology 37
Sample to Insight
37
ADNAtest negative CTC
ADNAtest positive CTC – primary BC
ADNAtest positive CTC – metastatic BC
FPPE tissue samples (BC)
ADNAtest negative CTC
ADNAtest positive CTC – primary BC
ADNAtest positive CTC – metastatic BC
FPPE tissue samples (BC)
K. Kolostova, S. Kasimir-Bauer et al., Cellular and Molecular Biology 37
Sample to Insight
Agenda
38
AdnaTest beginning: prognostic information
1.1 The COCP principle
1.2 The EpCam problem
AdnaTest solutions
2.1 Leukocyte bias
2.2 EMT and stemness in CTCs
2.3 CTC metabolic pathways
2.4 Future solutions
Summary
Questions
1
2
3
4
Sample to Insight
Agenda
39
AdnaTest beginning: prognostic information
1.1 The COCP principle
1.2 The EpCam problem
AdnaTest solutions
2.1 Leukocyte bias
2.2 EMT and stemness in CTCs
2.3 CTC metabolic pathways
2.4 Future solutions
Summary
Questions
1
2
3
4
Sample to Insight
Molecular detection of CTCs using the AdnaTest proved to be a highly sensitive and specific method.
The COCP Principle turned out to improve sensitivity and specificity for CTC detection substantially.
Molecular characterization of CTCs shows EMT and tumor stem cell-related phenotypes of CTCs and gives n indication about molecular pathways involved in metastasization and therapy resistance formation.
The AdnaTest is an open platform that enables an intense investigation of CTC characteristics and molecular signal transduction pathways in all major tumor entities.
Summary
40
Sample to Insight
Agenda
41
AdnaTest beginning: prognostic information
1.1 The COCP principle
1.2 The EpCam problem
AdnaTest solutions
2.1 Leukocyte bias
2.2 EMT and stemness in CTCs
2.3 CTC metabolic pathways
2.4 Future solutions
Summary
Questions
1
2
3
4
Sample to Insight
Thank you for attending
42
Questions?
Contact QIAGEN
Siegfried Hauch, PhD
Further information is also available at
www.adnagen.com