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. Author manuscript; available in PMC: 2014 Aug 1.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2013 Nov 22;23(2):234–254. doi: 10.1158/1055-9965.EPI-13-0785

Table 3.

Characterization of molecular biomarkers of CTCs and their clinical significances in diverse aggressive and metastatic cancers

Results and clinical significance
Cancer type CTC detection method Number of CTCs detected
by patients/samples
Biomarkers and their diagnostic,
prognostic, and predictive potentials
Ref.
Breast cancer AdnaTest Breast Cancer
 Select for detection of
 EpCAM, MUC1, HER2
 and β-actin transcripts
CTCs were detected by
 AdnaTest in 19% of 502
 blood samples from
 patients with breast
 cancer. Blood samples
 from 502 primary patients
 with breast cancer versus
 30 healthy donor
 samples
29% samples positive for CTCs were
 characterized by RT-PCR by the
 expression of at least one EMT marker
 (twist, Akt2, and PI3Kα) whereas 97% of
 30 healthy donor samples investigated
 were negative. Moreover, 14% samples
 positive for CTCs expressed ALDH1
 stem cell–like marker whereas 95% of 30
 healthy donor samples were negative.
(38)
Breast cancer AdnaTest Breast Cancer
 Select for detection of
 EpCAM, MUC1, and
 HER2 transcripts
226 blood samples from 39
 patients with metastatic
 breast cancer obtained
 during their follow-up of
 chemotherapy,
 hormonal, or
 trastuzumab antibody-
 based treatment
CTCs were detected by AdnaTest in 31%
 of 226 blood samples. The samples
 positive for CTCs were characterized by
 RT-PCR by the expression of at least one
 EMT marker (twist, Akt2, and PI3Kα) and
 ALDH1 in 62% and 69% cases as
 compared with 7% and 14% in blood
 samples negative for CTCs, respectively.
 The EMT and ALDH1 expression levels in
 blood samples from patients unresponsive
 to therapy were of 62% and 44% relative
 to only 10% and 5% in responders.
(39)
Breast cancer CellSearch EpCaM-based
 immunocapture method
Blood samples from 16
 women with metastatic
 breast cancer with
 disease progression
Data from analyses performing by
 CellSearch system and immunostaining
 have revealed that over 75% of CTCs
 detected in blood samples from patients
 with metastatic cancers breast cancer
 coexpressed epithelial markers (EpCAM
 and E-cadherin) and mesenchymal
 proteins (vimentin and N-cadherin).
(34)
Breast cancer Microfluidic capture of
 CTCs with epithelial- and
 tumor-specific
 antibodies directed
 against EpCAM, EGFR,
 and HER2
Blood samples from 41
 patients with metastatic
 breast cancer at various
 stages of treatment.
CTCs were detected in 41% of blood
 samples from patients with breast
 cancer. CTCs expressed epithelial
 (cytokeratins, EpCAM, and cadherin 1)
 and/or mesenchymal markers
 (fibronectin, cadherin 2, and serpin
 peptidase inhibitor, clade E). The
 enrichment of mesenchymal CTCs was
 associated with disease progression
 and expression of TGF-β signaling
 pathway components.
(37)
Prostate cancer CellSearch EpCaM-based
 immunocapture method
Blood samples from 41 men
 with metastatic
 castration-resistant
 prostate cancer with
 disease progression
Data from analyses performing by Cell
 Search System and immunostaining
 have indicated that over 80% of CTCs
 detected in blood samples from
 metastatic CRPC patients coexpressed
 epithelial markers (EpCAM, cytokeratin,
 and E-cadherin), mesenchymal proteins
 (vimentin, N-cadherin, and O-cadherin),
 and CD133 stem cell–like marker.
(34)
Ovarian cancer The monocyte blood
 fraction containing CTCs
 was enriched by 2-layer
 density gradient and RNA
 extracted from the
 enriched cell fraction
Blood samples from 216
 patients with epithelial
 ovarian cancer obtained
 before primary treatment
 and 6 months after
 adjuvant platinium-
 based chemotherapy
 and 39 cases of healthy
 women
CTCs were detected in 24.5% of the
 baseline and 20.4% of the follow-up
 samples. The detection of CTCs
 correlated with the presence of ascites,
 suboptimal debulking and elevated CA-
 125, and human epididymis protein 4
 (HE-4) levels. Moreover, the CTC
 detection was more frequent in
 platinium resistant patients than in the
 group sensitive to platinium treatment
 and indicative of poor outcome of
 patients.
(187)
Pancreatic cancer CellSearch system Blood samples from 26
 patients with pancreatic
 cancer
CTCs expressing cytokeratins were
 detected in 42% of blood samples and
 patients with pancreatic cancer with
 CTCs exhibited significantly shorter
 overall survival.
(188)
Pancreatic cancer CellSearch system or
 isolation by size of
 epithelial tumor cells
 (ISET)
Blood samples from 54
 patients with pancreatic
 cancer
CTCs were detected by CellSearch
 EpCaM-based immunocapture
 method and ISET in 40% versus 93% of
 patients with pancreatic cancer,
 respectively. The immunostaining
 analyses have also indicated that CTCs
 expressed variable levels of EpCaM,
 pan-cytokeratin, E-cadherin, vimentin,
 and cytokeratin 7.
(186)
Colorectal cancer Pre- and postoperative
 EpCAM based-flow
 cytometry analyses
Blood samples from 76
 patients with colorectal
 cancer undergoing
 surgical resection
CTCs were detected in 71% patients
 preoperatively, and all metastatic
 patients showed high levels of CTCs.
 Colorectal tumor surgical resection was
 associated with a significant decrease
 in CTCs. A high postoperative level of
 CTCs was also related to cancer
 relapse. The progression-free survival
 rate of patients with colorectal
 cancer without CTCs was increased
 from 16% to 86%, with a reduction in
 the risk of disease relapse greater than
 90%.
(185)
Lung cancer Centrifugal force-based
 separation technique
 termed dean flow
 fractionation (DFF)
Blood samples from 20
 patients with metastatic
 lung cancer at different
 stages of treatment
 versus 20 blood samples
 from healthy individuals
5 to 88 CTCs were detected by DFF in all
 blood samples analyzed from patients
 with metastatic lung cancer whereas
 healthy subjects had a negligible
 number of CTCs. Moreover, the data
 from immunostaining have revealed
 that CTCs detected in blood samples
 from patients with advanced lung
 cancer coexpressed cytokeratin and
 CD133 stem cell–like marker.
(40)
Non–small cell lung
 cancer (NSCLC)
CellSearch system or
 mutation detection in
 circulating tumor DNA
Blood samples from 41
 patients with relapsed or
 refractory NSCLC
 enrolled in a single-arm
 phase II multicenter trial
 with erlotinib and
 pertuzumab
CTCs were detected using CellSearch
 system in 78% of patients with NSCLC
 and a greater baseline of CTC counts
 was associated with a response to
 treatment by response evaluation
 criteria in solid tumor (RECIST). A
 decrease of CTC counts upon
 treatment of patients was also related
 with FDG-PET and RECIST response
 and longer progression-free survival.
 Data from RT-PCR analyses have also
 indicated that the detection of mutation
 in EGFR in ctDNA and DNA isolated
 from CTCs was associated with a most
 substantial decrease in CTC counts
 over the course of treatment of NSCLC
 patients with erlotinib and pertuzumab.
(184)
Epithelial
 malignancies
Multimarker quad-
 μ-nuclear magnetic
 resonance (μ-NMR)
Biopsies of 58 patients with
 epithelial malignancies
 including breast (n = 4),
 gastrointestinal (n = 17),
 genitourinary (n = 4),
 gynecologic (n = 7),
 pancreatic (n = 10), lung
 (n = 9), and poorly
 differentiated
 adenocarcinoma (n = 7)
 and 6 patients with
 benign diagnosis
Data from quad μ-NMR expression
 profiles of the biopsies obtained by the
 fine needle aspiration of 58 patients
 with different epithelial malignancies
 have revealed that the combined
 analyses of EpCAM, HER2, EGFR, and
 MUC1 markers may be used to achieve
 the diagnosis of patients with cancer in
 99.2% of samples.
(189)
Melanoma RNA isolation from whole
 blood samples
Blood sample from 230
 melanoma patients,
 including 154 patients at
 early stages I–II and 76
  patients at late stages
 III–IV versus 152 cases of
 healthy individuals
Data from quantitative RT-PCR analyses
 have indicated that 92% of melanoma
 patients expressed MLANA, TGF-β2,
 PAX3d, MCAM, and ABCG5 multidrug
 transporter. Importantly, the
 expression of MLANA and ABCG5
 could predict disease recurrence
 whereas MLANA expression was
 associated with a poor outcome of
 patients with melanoma after
 treatment.
(41)