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Circulating Tumor Cell
in Cancer Medicine
Jhingook Kim, MD Samsung Medical Center
Sungkyunkwan University, School of Medicine
History of Circulating Tumor cells
CTCs were observed for the first time in 1869 in the blood of a man with
metastatic cancer by Thomas Ashworth, who postulated that “cells identical
with those of the cancer itself being seen in the blood may tend to throw some
light upon the mode of origin of multiple tumors existing in the same person”.
A thorough comparison of the morphology of the circulating cells to tumor cells
from different lesions led Ashworth to conclude that “One thing is certain, that if
they [CTC] came from an existing cancer structure, they must have passed
through the greater part of the circulatory system to have arrived at the internal
saphena vein of the sound leg”.
Searching for cancer cell in the blood
Cancer cells = Epithelial cell origin
∴ Epithelial cell in the blood = CTC
The access for the cancer cells
Searching for CTC
CellSearch™ System
Defining a Tumor Cell 1. Positive for CK-PE (Cytokeratin)
• Morphology: Round to oval; sometimes elongated • At least 4 µm in size (should fit in the white square inside the measuring box) • In-tact (the cell & all edges are in-tact)
2. Positive for DAPI (Nucleus): • Must have a nucleus • Should fit in the cytoplasm • Should be at least 50% inside the cytoplasm
3. Negative for Blank Channel: • Good, Bright cell in Ctrl column = Control Positive • < 3 spots = Control Negative
NOTE: All patient sample tumor cells should be negative in Control Column
4. Negative for CD45/APC (Leukocyte cytoplasm): • The tumor cells should be negative for CD45/APC
5. Composite: TUMOR CELL
COMP CD45-APC CK-PE DAPI
CK-PE DAPI COMP
CD45-APC
CK-PE
or
Progression-Free Survival Pr
obab
ility
of
Prog
ress
ion-
Free
Sur
viva
l
Time From Baseline (Months) 0 2 4 6 8 10 12 14 16 18 22 24 26 28 30
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
20
Log rank P = .0001
7.0 months 2.7
months
≥ 5 CTCs/7.5 mL n = 87 (49%)
< 5 CTCs/7.5 mL n = 90 (51%)
Cristofanilli M N Engl J Med 2004
Clinical Studies on CTC
Prognostic Value of Baseline CTC Counts
Blood drawn at baseline prior to first-line chemotherapy
Arm B
Maintain first-line chemotherapy until progression
Arm C1
Maintain first-line chemotherapy until progression
Arm C2
Switch to alternate chemotherapy
Arm A
Monitor for PFS and OS
Eligible for other first-line chemotherapy trials R
CTC ≥ 5
Blood drawn 3 weeks after first chemotherapy dose
CTC ≥ 5
SWOG S0500
Clinical Studies on CTC
Treatment decision based on CTC Counts
Circulating Tumor Cell
Enrichment, Detection and Characterization
Klaus Pantel, Nature Reviews Cancer 8, 329-340 (May 2008)
Fibre-optic array scanning technology
Company Technology
Veridex Cellsearch system
EpCAM coated beads based positive selectio using magnetic beads followed by staining and image analysis
Biocept Laboratories CEE® Microfluidics
Biocept's microfluidic channel is coated with Streptavidin . CTCs are captured using an antibody cocktail, which includes EpCAM, that is added to cells prior to capture.
Screencell size-based filtration 6.5 um and 5.5 um porous membranes for fixed and unfixed cells respectively
Clearbridge Biomedics Clear Cell FX system
microfluidic biochips able to effectively detect and isolate wholly-intact CTCs from small quantities of patient blood samples. The CTChips® contains thousands of crescent shaped microstructures that can isolate CTCs without antibody or magnetic beads
Epic Biosciences PBMCs are layered on glass slide and imaaged using a high definition scanner
Adnagen combination of antibodies on magnetic beads to enrich cells followed by nested PCR
Fluxion Biosystems EpCAM based positive selection
Available systems for CTCs (1)
Company Technology
Miltenyi Biotech EpCAM magnetic bead based selection
EPISPOT
Apocell dielectrophoretic flow field fractionation. uses electrical property differentiation between normal blood cells and tumor cells
Fluidigm single cell analysis platform
Maintrac Cells from EDTA-blood were subjected to erythrocyte lysis, isolated by centrifugation, and incubated with a fluorescence-labeled antibody against. EpCAM. The numbers of vital cells were counted via fluorescence microscopy
TelomeScan TelomeScan system does not use EpCAM enrichment. TelomeScan is viral diagnostic reagent to detect viable CTCs including lung cancer. Currently Oncolys BioPharma Inc. in Tokyo is conducting various feasibility studies to detect viable CTCs from 7.5 mL blood and differenciate EMT-CTC and CSC
Cytotrack CytoTrack detects CTCs without enrichment (such as EpCAM) and without bias on size (such as filtration). CytoTrack has a capacity to scan 100 million cells in just one minute. CytoTrack is commercial available.
ODOSA (One-Drop, One-Step Assay for Circulating Tumor Cell Detection)
The invention is a cell-specific, intracellularly-activated, one step assay for the detection of circulating tumor cells (CTC) in a single drop of blood. The invention is based on cell-specific aptamers linked to fluorophores and quenchers. Lysosomal degradation leads to release of quenching and switches on a strong fluorescent signal in CTCs.
Available systems for CTCs (2)
Company Technology
Onqity EpCAM coated microposts arranged in a geometric pattern to creat a size gradient. end result is a compbination of EpCAM and size enrichment
Apocell dielectrophoretic flow field fractionation. uses electrical property differentiation between normal blood cells and tumor cells
Parsortix uses size and deformability using a wier-type step filter
Creatv Microtech precision manufactured size-filter
Genetx ariol automated imaging
Grenier Bio one -oncoquick
ficoll gradient tube with filter to keep the separated
Silicon Biosystems electronic chip to further purify coarsely enriched CTCs
FAST Laser scanning of all blood cells
Cynvenio Biosystems high throughput microfluidic sheath flow isolation technology by ferrofluid with cell staining plus downstream DNA analysis via next generation sequencing and/or quantitative allele-specific PCR (Q-PCR)
Aviva Biosciences combination of size-based RBC depletion and WBC depletion
Available systems for CTCs (3)
Circulating Tumor Cell
CTC platform
CTC characterization 방법 개발 필요성
Positive Selection Negative Selection CTC isolation
principle Anti-EpCAM mAb-based Size filtration & CD45 depletion
Enrichment Removal of leukocyte: Trapping of CTC
Removal of leukocyte: trapping of CTC
lost CTC CTC with low expression of EpCAM Small sized CTC
Sensitivity Low High
Purity High Low
Untethered CTC Nearly impossible: CTC-mAb-microbead in situ staining after capture
Possible, but not always: CTC alone
Further EMT analysis Disadvantage Advantage
Molecular analysis Advantage Disadvantage: low purity
Merge_RBC_5min_40X Merge_Plasma_5min_40X
WBC
CTC RBC
CTC+debris
SMC-KAIST Collaboration
Microfluidic CTC Capture system
0
20
40
60
80
100
50 100# of spike cells
captu
re e
ffic
iency
(%
)
Lung cancer cell lines - GFP 발현 폐암 세포주: H358-GFP, A549-GFP, H460-GFP - Non-GFP 폐암 세포주: H1975, PC-9
SMC-KAIST platform을 이용한 spike test
성능지표 Spiked cell number in Blood
Input cell number 50개 100개
Capture efficiency 80.2±4.19% 80.7±11.3%
Recovery rate 63.0±9.16% 64.5±11.3%
Journal of Chromatograph A, 2007;1162:154-161
Negative Selection by Physical Properties Cytogen ™ System
Cytogen platform을 이용한 spike test
Spiking cell line: GFP-H358 lung cancer cell line
Spiking planned
GFP-H358 cells Spiked
(실제 넣은 수)
GFP-H358 cell count
(recovery rate)
Mean value of recovery rate
10 개
9 개 9 개 (100.0%)
96.7±5.8% 10 개 9 개 (90.0%)
11 개 11 개 (100.0%)
30 개
36 개 29 개 (80.5%)
82.8±2.9% 33 개 27 개 (81.8%)
36 개 31 개 (86.0%)
100 개
88 개 64 개 (73.0%)
82.0±7.9% 93 개 82 개 (88.0%)
92 개 78 개 (85.0%)
Negative Selection by Physical Properties Comparison of Platforms
ScreenCell RareCell Cytogen KAIST
Samples Stomach ca (1) Lung ca (1) Normal Control (1)
Stomach ca (1) Lung ca (1) Normal Control (1)
Colon ca (1) Lung ca (1) Normal Control (1)
Lung ca (1) CBD ca (1)
Volume 3ml 10ml 3ml 5ml
Results No CTCs No CTCs Colon ca (8/5ml) Lung ca (3/5ml) Normal (0/5ml)
Lung ca (15/5ml) CBD ca (8/5ml)
Confidential
Studies on CTC
(1) Technical or platform development –related
(2) Carcinogenesis and metastasis mechanism-related
(3) Clinical translational research
Clinical studies using CTC technologies
(1) correlation with tumor extent (such as stage)
(2) prognosis or treatment-response
(3) screening role
(4) source of the liquid biopsy or serial biopsy
Clinical studies using CTC technologies (1)
Diseases • Characterization of Circulating Tumor Cells (CTC) in Melanoma • Circulating Tumor Cells for Hepatocellular Carcinoma • Detection of CTCs in Patients Undergoing Surgery for Stage IV Colorectal Cancer • Circulating Tumor Cells (CTCs) From Metastatic Breast Cancer • Circulating Tumor Cells (CTCs) as a Blood-based Tumor Marker in Patients With Small
Cell Lung Cancer (SCLC) Characterization • Characterization of Circulating Tumor Cells Captured by c-MET (CTC-MET) • Characterization of Circulating Tumor Cells (CTC) From Patients With Metastatic
Breast Cancer Using the CTCEndocrine Therapy Index • Feasibility of the Research for Mutation of K-ras and EGFR in CTCs From Metastatic
Non Small Cells Bronchial Carcinomas Screening • Circulating Tumor Cells (CTCs): A Potential Screening Test for Clinically Undetectable
Breast Carcinoma
Clinical studies using CTC technologies (2)
Prognosis/tx-response • Prognostic Value of the Levels of CTCs in Peripheral Blood in Patients With
Prostate Cancer at High Risk (Clinical Stages IIB-III) Treated Radically With Radiotherapy and Hormone Therapy
• Dynamic Circulating Tumor Cell (CTC) Changes During the Chemotherapy in NSCLC
• DETECT III - A Multicenter, Phase III Study to Compare Standard Therapy +/- Lapatinib in HER2-ve MBC-Patients With HER2+ve CTCs
• Influence of BRAF and PIK3K Status on the Efficacy of 5-Fluorouracil/Leucovorin /Oxaliplatin (FOLFIRI) Plus Bevacizumab or Cetuximab in Patients With RAS Wild-type Metastatic Colorectal Carcinoma and < 3 Circulating Tumor Cells (CTC)
• Blood Levels of Tumor Cells in Predicting Response in Patients Receiving First-Line Chemotherapy for Stage IV Breast Cancer
• Prognostic and Dynamic Change of CTC Enumeration in Advanced NSCLC With Chemotherapy and Targeted Therapy
0
5
10
15
20
25
30
35
CTC
count
I II III IV
Stages
P<0.001
P=0.022 P=0.035
CTC enumeration depends on pathologic stages.
5ml blood
“C” platform
Enriched CTCs
total N=82 Cytogen에서 PDE staining 결과 count된 수/5ml blood 1. Stage I=1.22±1.51 CTC 2. Stage II=1.81±1.74 CTC 3. Stage III=1.85±1.95 CTC 4. Stage IV=8.00±9.95 CTC
(n=22)
(n=5)
(n=28)
(n=25)
(n=11)
Characteristics of Lung Cancer Patients
(N=82)
Gender Histological cell type Pathologic stage
Tumor location
ADC (n=60)
Male (n=51)
Female (n=31)
SCC (n=20)
others (n=2)
Stage I (n=37)
Stage II (n=16)
Stage III (n=13)
Stage IV (n=16)
Chemotherapy (n=17)
Surgery (n=65)
Wedge resection (n=6)
Segmentectomy (n=4)
Lobectomy (n=52)
Pnemonectomy (n=3)
Blood drawn at baseline prior to first-line chemotherapy
Arm B
Maintain first-line chemotherapy until progression
Arm C1
Maintain first-line chemotherapy until progression
Arm C2
Switch to alternate chemotherapy
Arm A
Monitor for PFS and OS
Eligible for other first-line chemotherapy trials R
CTC ≥ 5
Blood drawn 3 weeks after first chemotherapy dose
CTC ≥ 5
SWOG S0500
Clinical Studies on CTC
Treatment decision based on CTC Counts
Fig. Overall survival (OS) and progression-free survival (PFS) in patients with metastatic breast cancer for whom therapy failed to reduce circulating tumor cells(CTCs) within 3 weeks of starting first-line chemotherapy; patients were randomly assigned to continue receiving the initial chemotherapy or to switch to an alternative chemotherapy
J Clin Oncol 2014
Circulating Epithelial Cells in Patients with Benign Lung Diseases
Non-tuberculous mycoplasma infection (F/46) Actinomycosis-related Hemoptysis (M/59)
Circulating Epithelial Cells in Patients with Benign Colon Diseases
Klaus Pantel, Clinical Chemistry, 2012, 58:936
Frequency of molecular markers expressed in circulating tumor cells of breast cancer patients
Breast Cancer Research 2011, 13:228
CTC escape from EpCAM-based detection due to epithelial to mesenchymal transition (EMT).
BMC Cancer 2012, 12:178
FACS analysis for EpCAM expression
In vivo mouse model
Mobilisation of Circulating Tumour Cells into the peripheral circulation during radiotherapy
Michael MacManus, Olga Martin Roger Martin, David Ball, Ashley Cox, Robin Anderson, Judy Doherty, Patricia Daly,
Daphne Jacobs, Prue Russell
WCLC 2013
γ-H2AX-based CTC detection: proof of principle with “spiked” blood FACS analysis of blood “spiked” with ~3% of tumor cells
Lymphocytes
Tumour cells
No IR 24 hrs post-10 Gy
No IR IR Pre-sorted FACS-isolated
WCLC 2013
CK positive CTC numbers (including CTCs in CTMs) per 10 ml blood in cytospins of 17 NSCLC patients
Cellsearch are results in Red
WCLC 2013
Acta Oncologica, 2011, 50:700
OncoQuick
The comparison of the detection rates of EpCAM (–) and EpCAM (+) CTCs between OncoQuick® plus and MACS microbead®
Acta Oncologica, 2011, 50:700
EpCAM+ bead
OncoQuick plus
The comparison of the detection rates of EpCAM (–) and EpCAM (+) CTCs between OncoQuick® plus and MACS microbead®
Searching for cancer cell in the blood
Cancer cells = Epithelial cell origin
∴ Epithelial cell in the blood = CTC
The access for the cancer cells
Searching for CTC
Circulating Tumor Cell
CTC characterization 기술 개발 필요성
Q. What is a CTC specific marker? Q. Are cells from EpCAM-based positive selection real CTCs? Q. Will the CTCs develop into metastatic cancer over time? Nobody couldn’t answer those.
CTC identification in advanced lung cancer patients
DAB-EpCAM + Hematoxylin staining ~200 CTC 관찰
Lymphocytes
Red blood cell
WBC + SW480 48/64
Normal WBC 61/100
FISH Analysis (WBC vs Cancer Cell)
*SW480 : colon cancer cell line
For prognostic/predictive marker by count Is it reliable ? 1) technique 2) biology For the source of cancer cell (real-time biopsy) Is it sufficient?
The access for the cancer cells
CTC, For What?
Summary
1. Research on/with CTC can be a key in cancer research (basic/clinical).
2. Anti-EpCAM based CTC capture have shown clinical significance in some cancers.
3. However, we yet cannot say that we detect all bad cells and/or all detected cells are bad.
4. Therefore, circulating tumor cell research invites many researchers for capture, identification, characterization and application studies in various cancers.