Circulating tumor cells (CTCs) bearing phenotypes related to cancer stem cells (CSCs) and epithelial-to-mesenchymal transition (EMT) have been identified in breast cancer; however, their clinical significance is not clear. In the current study, we investigated the prognostic relevance of single CSC+/partial-EMT+ CTCs in patients with metastatic breast cancer and the effect of first-line chemotherapy on their incidence. For this purpose, triple immunofluorescence against cytokeratin, ALDH1, and TWIST1 was performed in peripheral blood mononuclear cell (PBMC) cytospins from 130 patients before and after first-line chemotherapy. CSC+/partial-EMT+ CTCs were characterized as cells co-expressing cytokeratin, high levels of ALDH1, and nuclear TWIST1. CSC+/partial-EMT+ CTCs were evident in 27.7% of patients at baseline and were correlated to lung metastases (P = 0.010) and decreased progression-free survival [PFS; median 10.2 (8.9–11.6) vs. 13.5 (11.3–15.7) months; P = 0.024]. Their detection was an independent factor predicting for increased risk of relapse [multivariate analysis; HR (95% confidence interval (CI)): 1.785 (1.171–2.720); P = 0.007]. In HER-2–negative patients, CSC+/partial-EMT+ CTCs were additionally associated with reduced overall survival (OS) [median 39 (26.2–51.9) vs. 51 (15.7–86.4) months; P = 0.020] and increased risk of death [multivariate analysis; HR (95% CI): 2.228 (1.066–4.655); P = 0.033]. Chemotherapy resulted in a significant increase in the incidence of CSC+/partial-EMT+ CTCs (mean CTC% per patient: 59.4% post vs. 39.5% pre; P = 0.018), which was subsequently confirmed only in HER2-negative patients (P = 0.040) and in non-responders at the end of treatment (P = 0.020). In conclusion, CSC+/partial-EMT+ CTCs represent a chemoresistant subpopulation, which independently predicts for unfavorable outcome in metastatic breast cancer. Efficient targeting of these CTCs could potentially increase patient survival.

This article is featured in Highlights of This Issue, p. 233

The prognostic and predictive value of circulating tumor cells (CTC) identified in peripheral blood of patients with metastatic breast cancer has been clearly demonstrated by the use of different techniques (1–4). However, recent functional studies showed that only a minority of CTCs can successfully form metastases when injected in mice (5), which is attributed to the profound intra- and interpatient CTC heterogeneity (6, 7). Phenotypic analysis of CTCs could recognize the most aggressive CTC subpopulations, which could then serve for risk assessment, patient stratification, and monitoring (8, 9). Furthermore, efficient targeting of these highly metastatic CTCs could be a promising strategy to improve patients' outcome (10).

Epithelial-to-mesenchymal transition (EMT) and stemness have been extensively investigated in the field of CTC-related research (11). EMT, a dynamic process leading to a partial or complete loss of epithelial characteristics and acquisition of a mesenchymal phenotype, holds an important role in promoting cancer cell migration to distant sites (12). Recent evidence suggests that tumor cells co-expressing epithelial and mesenchymal phenotypes, thus being in a partial EMT state, have the highest metastatic potential (13). Cancer stem cells (CSC), tumor cells bearing stemness properties, display enhanced tumorigenicity, metastatic ability, and resistance to radiation and chemotherapy (14, 15). EMT has been strongly associated with the acquisition of stem cell properties (16, 17) and interestingly, differentiated non-CSCs were transformed to dedifferentiated breast CSCs via EMT (18). Tumor cells bearing both stemness and EMT features are empowered with increased metastatic capacity, combining enhanced motility and invasiveness (EMT traits), with increased self-renewal and proliferation potential (CSC properties; ref. 19). Conventional therapeutics are frequently inefficient to eradicate cancer cells that have entered a CSC state through the activation of EMT, thus leading to a CSC-driven disease relapse (20, 21). As a consequence, CTCs co-expressing these characteristics may constitute an aggressive, chemoresistant CTC population that could serve as a prognostic and/or predictive tool, as well as a promising therapeutic target.

TWIST1 is an important EMT-inducing transcription factor (EMT-TF), which represses E-cadherin, activates mesenchymal markers and induces cell motility, whereas its depletion completely blocked EMT in breast cancer cells (22, 23). High activity of the detoxifying enzyme aldehyde dehydrogenase (ALDH) is widely used for the isolation of breast CSCs with self-renewal and tumorigenic capacity (24). Moreover, ALDH1 expression has been correlated to ALDH activity and is predictive of poor outcome in breast cancer (24). To date, the expression of EMT and CSC markers has been demonstrated on CTCs of patients with different solid tumors by the use of different methodologies; however, controversy exists on the clinical relevance of these cells (25). We have previously demonstrated that the putative stemness phenotypes, CD44+CD24low/− and ALDH1high (26), as well as the EMT markers, Vimentin and TWIST1, are frequently expressed on single CTCs from patients with breast cancer (27). Moreover, we developed a multi-immunofluorescence methodology to evaluate the co-expression of CSC (ALDH1) and EMT (TWIST1) markers on CTCs (28) and observed that the CSC+/partial-EMT+ CTC subpopulation prevailed in metastatic patients, whereas those with early disease mainly harbored a non-CSC/epithelial+ CTC phenotype (28).

In the current study, we used the same methodology to detect CTCs co-expressing the CSC and partial-EMT phenotypes in a well-defined cohort of 130 patients with metastatic breast cancer receiving first-line chemotherapy. Our goals were to investigate the effect of standard chemotherapy regimens on the incidence of these cells and to evaluate their relevance in the prediction of patient outcome.

Study design

The current study included 130 patients with metastatic breast cancer, who received first-line chemotherapy at the Department of Medical Oncology of the University General Hospital of Heraklion (Crete, Greece) during 2005 to 2010. Clinical characteristics and follow-up information for each patient were prospectively collected. Peripheral blood samples were obtained at baseline and at the end of first-line chemotherapy and CTC detection and characterization was performed on peripheral blood mononuclear cells (PBMC) cytospin preparations. This study was conducted in accordance with the Declaration of Helsinki ethical guidelines and was approved by the Ethics and Scientific Committees of the University General Hospital of Heraklion, Crete, Greece. All patients gave their written informed consent to participate in this study.

PBMC cytospin preparation

Peripheral blood (10 mL) was obtained at the middle of vein puncture after the first 5 mL were discarded, to avoid contamination with epithelial cells derived from the skin. PBMCs were isolated by Ficoll–Hypaque density gradient (d = 1,077 g/mL) centrifugation at 650 × g for 30 minutes. PBMCs were washed twice with PBS and aliquots of 250.000 cells were cyto-centrifuged at 500 × g for 2 minutes on glass slides. Air-dried cytospins were stored at −80°C until use.

Cell culture

The HepG2 cell line was obtained from ATCC in February of 2013 and stored at liquid nitrogen. The cell line was not authenticated by us. High glucose GlutaMAX DMEM, supplemented with 10% FBS and 1% penicillin/streptomycin (GIBCO-BRL Co.) was used for cell culture and cells were maintained in a humidified atmosphere of 5% CO2-95% air at 37°C. Subcultivation was performed using 0.25% trypsin and 5 mmol/L ethylenediaminetetraacetic acid (EDTA; GIBCO-BRL). Following Mycoplasma testing by the use of MycoAlert assay, cytospins of HepG2 cells (passage 4 after obtainment) were prepared as described above to be included as controls during the immunofluorescence stainings in patient samples.

Detection and characterization of CTCs according to CSC and EMT phenotypes

Triple immunofluorescence was performed on PBMC cytospin preparations, using antibodies against putative markers for epithelial cells (Cytokeratins, CK 8, 18, and 19), CSCs (ALDH1), and EMT (TWIST1) as described previously (28). Briefly, cytospins were fixed with 3% paraformaldehyde (PFA), permeabilized with 0.5% Triton X-100 at room temperature, and blocked overnight with PBS/1% BSA at 4°C. The primary antibodies used were pan-cytokeratin (A45-B/B3 anti-mouse; Micromet), ALDH1 (anti-mouse; Abcam), and TWIST1 (anti-rabbit; Abcam); secondary antibodies were Alexa 555- and Alexa 633–conjugated (Molecular Probes) and Zenon technology (FITC-conjugated; Molecular Probes, Invitrogen); the DAPI-antifade reagent (Invitrogen) was used for cell nuclei staining. Cells were further postfixed with 3% PFA.

A total of 500.000 PBMCs per patient sample were analyzed for the detection and further characterization of CK-positive CTCs, by the use of the ARIOL system CTCs software (Genetix), as described previously (7, 9, 29). Cytospins of spiked HepG2 cells were included in each separate immunofluorescence experiment as controls to evaluate CK, ALDH1, and TWIST1 co-expression in patient samples. Positive controls included all three primary and the corresponding secondary antibodies. Negative controls, one for each marker, prepared by adding the secondary IgG isotype antibody only and omitting the corresponding primary antibody, were also included in each separate experiment. A45-B/B3 pan-cytokeratin antibody exhibits a specific, filamentous, and nonfused CK expression pattern in tumor cells only. Its specificity has been demonstrated in previous studies from our group, showing that no CK+/CD45+ cells were observed in PBMCs from healthy donors, PBMCs spiked with different breast cancer cell lines (28), or in PBMC cytospins from patients with breast cancer (7, 27, 29–31).

ALDH1 expression was quantified using the ARIOL system and characterized as high, low, or absent, according to the methodology used in our previous study (28). Briefly, ALDH1 expression levels were first measured among HepG2 control cells included in each staining experiment, by quantifying 1.500 ALDH1high, ALDH1low, and ALDHneg cells in 50 randomly selected microscope vision fields. The resulting cutoffs were subsequently used for the characterization of ALDH1 expression in CTCs. TWIST1 expression was characterized as nuclear, cytoplasmic, or absent according to its subcellular localization.

The characterization of cells as CTCs was exclusively based on CK expression. CK+ CTCs with high ALDH1 expression were considered as having the CSC phenotype, whereas cells with low or absent expression were characterized as non-CSCs-like. CK+ CTCs with nuclear TWIST1 localization were of the partial-EMT phenotype and cells with cytoplasmic or absent TWIST1 were characterized as epithelial-like. Consequently, four different CTC subpopulations could be recognized: CSC+/partial-EMT+, non-CSC/partial-EMT+, CSC+/epithelial-like or non-CSC/epithelial-like.

Statistical analysis

χ2 and Mann–Whitney tests were used to correlate the different CTC subpopulations with patient and disease characteristics and to compare their incidence among individual patients. Wilcoxon signed rank test was performed to compare the frequency of distinct CTC subsets before and after treatment. Kaplan–Meier analysis was used to estimate survival curves; progression-free survival (PFS) was calculated from the day of the administration of the first cycle of chemotherapy until the day of documentation of disease progression or death from any cause; overall survival (OS) was calculated from the day of treatment initiation until the date of death from any cause. Univariate Cox regression analysis was performed to investigate the associations between different parameters and the risk for progression and death; the factors with statistical significance or a trend for significance were subsequently included in a multivariate Cox proportional hazards regression model to evaluate whether they were independently associated with the risk for progression and death. All statistical analyses were performed using IBM SPSS Statistics version 20. P values were calculated by two-sided tests and were considered statistically significant at the 0.05 level.

Patient and disease characteristics

The median age of patients was 59 years and the median progression-free and overall survival was 12.5 (9.9–15.1) and 37.6 (31.4–43.7) months, respectively. First-line chemotherapy included taxanes or anthracyclines as single agents (16.2%), taxane-based regimens (57.7%), and combinations without taxanes or anthracyclines (26.2%). All HER2-positive patients also received trastuzumab. CTC analysis was performed before the initiation of first-line chemotherapy (n = 130 patients) as well as at the end of chemotherapy for patients who were found to be CTC-positive in the prechemotherapy sample and who had available post-treatment samples (n = 62 patients). Patient and disease characteristics are summarized in Table 1.

Table 1.

Patient and disease characteristics

Patients (n, %)
Age, years (median, range) 59 (23–82) Metastatic sites 
Performance status  Lymph nodes 42 (32.3) 
 0–1 111 (85.4)  Lung 46 (35.4) 
 2–3 17 (13.1)  Bones 58 (44.6) 
 Unknown 2 (1.5)  Liver 44 (33.8) 
Menopausal status  Skin 10 (7.7) 
 Premenopausal 41 (31.5)  CNS 7 (5.4) 
 Postmenopausal 82 (63.1) No. of affected organs 
 Unknown 7 (5.4)  1–2 85 (65.4) 
Histological grade  ≥3 42 (32.3) 
 I–II 53 (40.8)  Unknown 3 (2.3) 
 III 61 (46.9) Type of first-line chemotherapy 
 Unknown 16 (12.3)  Tax or Anthr single agents 21 (16.2) 
Adjuvant chemotherapy  Tax-based combinations 75 (57.7) 
 Yes 67 (51.5)  Combinations without Tax or Anthr 34 (26.2) 
 No 62 (47.7) Response to treatment 
 Unknown 1 (0.8)  Complete response 10 (7.7) 
Histology subtype  Partial response 52 (40) 
 Ductal 99 (76.2)  Stable disease 46 (35.4) 
 Lobular 13 (10)  Progressive disease 17 (13.1) 
 Mixed 8 (6.2)  Unknown 5 (3.9) 
 Unknown 10 (7.7) Disease status at the end of chemotherapy 
Molecular subtype   Complete response 12 (9.2) 
 ER-positive 89 (68.5)  Partial response 37 (28.5) 
 PgR-positive 83 (63.8)  Stable disease 44 (33.8) 
 HER2-positive 28 (21.5)  Progressive disease 32 (24.6) 
 Triple-negative 19 (14.6)  Unknown 5 (3.9) 
Patients (n, %)
Age, years (median, range) 59 (23–82) Metastatic sites 
Performance status  Lymph nodes 42 (32.3) 
 0–1 111 (85.4)  Lung 46 (35.4) 
 2–3 17 (13.1)  Bones 58 (44.6) 
 Unknown 2 (1.5)  Liver 44 (33.8) 
Menopausal status  Skin 10 (7.7) 
 Premenopausal 41 (31.5)  CNS 7 (5.4) 
 Postmenopausal 82 (63.1) No. of affected organs 
 Unknown 7 (5.4)  1–2 85 (65.4) 
Histological grade  ≥3 42 (32.3) 
 I–II 53 (40.8)  Unknown 3 (2.3) 
 III 61 (46.9) Type of first-line chemotherapy 
 Unknown 16 (12.3)  Tax or Anthr single agents 21 (16.2) 
Adjuvant chemotherapy  Tax-based combinations 75 (57.7) 
 Yes 67 (51.5)  Combinations without Tax or Anthr 34 (26.2) 
 No 62 (47.7) Response to treatment 
 Unknown 1 (0.8)  Complete response 10 (7.7) 
Histology subtype  Partial response 52 (40) 
 Ductal 99 (76.2)  Stable disease 46 (35.4) 
 Lobular 13 (10)  Progressive disease 17 (13.1) 
 Mixed 8 (6.2)  Unknown 5 (3.9) 
 Unknown 10 (7.7) Disease status at the end of chemotherapy 
Molecular subtype   Complete response 12 (9.2) 
 ER-positive 89 (68.5)  Partial response 37 (28.5) 
 PgR-positive 83 (63.8)  Stable disease 44 (33.8) 
 HER2-positive 28 (21.5)  Progressive disease 32 (24.6) 
 Triple-negative 19 (14.6)  Unknown 5 (3.9) 

NOTE: No of patients: n = 130.

Abbreviations: Anthr, anthracyclines; CNS, central nervous system; ER, estrogen receptor; PgR, progesterone receptor; Tax, Taxanes.

Detection and characterization of CTCs pre- and post-treatment

CTCs (CK+ cells) were detected in 72 of 130 patients (55.4%) at baseline, with a total number of 884 CTCs identified [median CTC number per CTC-positive patient; 2 (range, 1–286)]. Further CTC characterization according to the co-expression of the CSC and EMT markers revealed the presence of four different CTC subpopulations (Fig. 1A). CSC+/partial-EMT+ CTCs, co-expressing both phenotypes, represented the most frequently encountered CTC subset; these cells were identified in 27.7% of patients and constituted 40.7% of the total number of CTCs detected. CTCs lacking the expression of both phenotypes, namely non-CSC/epithelial-like CTCs, were the second more frequent subpopulation, which was evident in 27.7% of patients and represented 28.8% of total CTCs. The intermediate phenotypes, CSC+/epithelial-like and non-CSC/partial-EMT+ CTCs, were identified in 12.3% and 13.8% of patients, respectively, representing 7.5% and 22.9% of total CTCs.

Figure 1.

Investigation of putative CSC and partial-EMT phenotypes on single CTCs of patients with metastatic breast cancer receiving first-line chemotherapy. A, Representative images of phenotypically different CTC subsets, ARIOL system (X400); high ALDH1 expression was used to define the CSC phenotype, whereas co-expression of CK with nuclear TWIST1 was considered as a partial-EMT phenotype; four different CTC subpopulations were identified: CSC+/partial-EMT-like, non-CSC/partial-EMT-like, CSC+/epithelial-like and non-CSC/epithelial-like CTCs. B, Incidence of the different CTC subpopulations pre- and post-chemotherapy; (i) percentage of patients bearing each CTC subset, (ii) percentage of CTC subsets per total CTCs, and (iii) mean percentage of CTCs per patient. An increased frequency of CSC+/partial-EMT+ CTCs was evident after treatment at the patient and the CTC level. Wilcoxon signed rank test was used.

Figure 1.

Investigation of putative CSC and partial-EMT phenotypes on single CTCs of patients with metastatic breast cancer receiving first-line chemotherapy. A, Representative images of phenotypically different CTC subsets, ARIOL system (X400); high ALDH1 expression was used to define the CSC phenotype, whereas co-expression of CK with nuclear TWIST1 was considered as a partial-EMT phenotype; four different CTC subpopulations were identified: CSC+/partial-EMT-like, non-CSC/partial-EMT-like, CSC+/epithelial-like and non-CSC/epithelial-like CTCs. B, Incidence of the different CTC subpopulations pre- and post-chemotherapy; (i) percentage of patients bearing each CTC subset, (ii) percentage of CTC subsets per total CTCs, and (iii) mean percentage of CTCs per patient. An increased frequency of CSC+/partial-EMT+ CTCs was evident after treatment at the patient and the CTC level. Wilcoxon signed rank test was used.

Close modal

Post-treatment, CK+ CTCs were identified in 38 (61.3%), with a total number of 312 CTCs identified [median CTC number per CTC-positive patient; 3.5 (range, 1–94)]. Chemotherapy resulted in reduction or elimination of CK+ CTCs in 61.3% of patients. However, a significant enrichment of the CSC+/partial-EMT+ subpopulation was observed post-treatment in patients with detectable CTCs at both time points (Fig. 1B i–iii). Specifically, this CTC subset was detected in 30 (78.9%) patients postchemotherapy compared with 19 (50%) at baseline (P = 1.000; Fig. 1Bi) and represented 55.5% and 46% of total CTCs, respectively (Fig. 1Bii). The mean percentage of CSC+/partial-EMT+ CTCs per patient significantly increased from 39.5% to 59.4% postchemotherapy (P = 0.018; Fig. 1Biii). Instead, the frequency of the other CTC subpopulations was numerically decreased after chemotherapy, both at the patient and the CTC level (Fig. 1B i–iii). In addition, a significant increase in CSC+/partial-EMT+ CTC counts was confirmed among patients who increased their total CK+CTCs after treatment (median number: 0 pre- vs. 2 postchemotherapy, P = 0.001, Wilcoxon signed rank test). Instead, in patients with unchanged or reduced total CTC numbers after chemotherapy, CSC+/partial-EMT+ CTC counts were significantly decreased (median number: 1.5 vs. 0, pre- and post-chemotherapy, respectively, P = 0.000).

Correlation of the detection of CTCs and of the different CTC subpopulations with patient and disease characteristics and with the type of treatment

The presence of CK+ CTCs before treatment was associated with tumor positivity for estrogen receptors (P = 0.046) and progesterone receptors (P = 0.036) and with the presence of lung (P = 0.001) and lymph node metastases (P = 0.024). The detection of CSC+/partial-EMT+ CTCs at baseline was correlated with lung metastases (P = 0.010), whereas no associations were observed between the other CTC subpopulations and clinicopathologic characteristics before or after chemotherapy.

Separate analysis according to HER2 status of the primary tumor revealed that in HER2-positive patients, the detection of CK+ CTCs was associated with grade 3 tumors (P = 0.005). In HER2-negative patients, the detection of CK+ CTCs was associated with lymph node (P = 0.041) and lung (P = 0.003) metastases; CSC+/partial-EMT+ CTCs were more frequently evident among patients with lung metastases (P = 0.035), in contrast to those with lymph node metastases, who mainly harbored non- CSC+/epithelial-like CTCs (P = 0.039; Supplementary Table S1).

The type of therapy was not correlated to the presence or the phenotype of CTCs at baseline, among patients with either HER2-positive or HER2-negative disease (Supplementary Table S2). However, in the HER2-negative setting, treatment with taxanes or anthracyclines as single agents was associated with negative CTC status post-treatment (P = 0.000) and with complete absence of CSC+/partial-EMT+ CTCs (P = 0.002), whereas combination regimens without taxanes or anthracyclines resulted in 100% CTC positivity and an increased incidence of CSC+/partial-EMT+ CTCs.

Moreover, the enrichment in the CSC+/partial-EMT+ subset post-treatment was observed in the HER2-negative patient cohort only (mean CTC% per patient: 36.6% pre- vs. 55.5% postchemotherapy, P = 0.041), whereas no change was shown among HER2-positive patients (P = 1.000; Fig. 2A). In the whole group of patients, CSC+/partial-EMT+ CTCs were significantly enriched only among patients presenting non-response (stable or progressive disease) at the end of treatment (mean CTC% per patient: 27.8% pre- vs. 58.1% post- chemotherapy, P = 0.014), whereas their frequency remained unchanged among responders (P = 0.721; Fig. 2B).

Figure 2.

Effect of first-line chemotherapy on the incidence of CSC+/partial-EMT+ CTCs according to HER2 disease status and response to treatment. Incidence of CSC+/partial-EMT+ CTCs pre- and post-chemotherapy among HER2-positive and HER2-negative patients (A) and responders and Non-responders (B). Wilcoxon signed rank test was used.

Figure 2.

Effect of first-line chemotherapy on the incidence of CSC+/partial-EMT+ CTCs according to HER2 disease status and response to treatment. Incidence of CSC+/partial-EMT+ CTCs pre- and post-chemotherapy among HER2-positive and HER2-negative patients (A) and responders and Non-responders (B). Wilcoxon signed rank test was used.

Close modal

Correlation of the detection of CTCs and CTC subpopulations with patient outcome

Overall, no correlation was found between the detection of CK+ CTCs before treatment initiation and PFS [median 12.6 (range, 9.4–15.8) vs. 12.2 (range, 8.9–15.5) months; P = 0.063] or OS [median 39.9 (range, 31.7–48.2) vs. 35.3 (range, 19.8–50.8) months; P = 0.838]. However, the presence of CSC+/partial-EMT+ CTCs at baseline was significantly correlated to decreased PFS [median 10.2 (range, 8.9–11.6) vs. 13.5 (range, 11.3–15.7) months; P = 0.024; Fig. 3A]. Multivariate Cox regression analysis confirmed that the detection of CSC+/partial-EMT+ CTCs [HR (95% confidence interval (CI)): 1.785 (1.171–2.720); P = 0.007], triple-negative tumor subtype [HR (95% CI): 1.826 (1.055–3.161), P = 0.031], presence of liver metastases [HR (95% CI): 1.945 (1.276–2.963); P = 0.002], and combination therapy without taxanes or anthracyclines [HR (95% CI): 2.086 (1.154–3.774); P = 0.015] could independently predict for high risk of disease progression (Table 2). No correlation was observed between the detection of the other three CTC subsets and outcome.

Figure 3.

Prognostic relevance of CSC+/partial-EMT+ CTCs at baseline of first-line chemotherapy. Kaplan–Meier survival curves for PFS and OS according to the detection of CSC+/partial-EMT+ CTCs among the total metastatic breast cancer patients (A), and separately for patients with HER2-positive (C and D) and HER2-negative disease (E and F). P values were obtained by log-rank test.

Figure 3.

Prognostic relevance of CSC+/partial-EMT+ CTCs at baseline of first-line chemotherapy. Kaplan–Meier survival curves for PFS and OS according to the detection of CSC+/partial-EMT+ CTCs among the total metastatic breast cancer patients (A), and separately for patients with HER2-positive (C and D) and HER2-negative disease (E and F). P values were obtained by log-rank test.

Close modal
Table 2.

Univariate and multivariate analysis for PFS and OS in patients with metastatic breast cancer

PFSOS
Cox regression analysisUnivariateMultivariateUnivariateMultivariate
CovariatesHR (95% CI)PHR (95% CI)PHR (95% CI)PHR (95% CI)P
Age (≤59) 1.089 (0.759–1.562) 0.643   1.021 (0.697–1.496) 0.915   
Performance status (2–3) 1.451 (0.860–2.447) 0.163   1.425 (0.833–2.439) 0.196   
Menopausal status (pre) 1.201 (0.535–2.696) 0.658   1.085 (0.481–2.450) 0.844   
Grade (III vs. I/II) 1.128 (0.766–1.662) 0.542   1.072 (0.712–1.613) 0.739   
Adjuvant chemotherapy (yes) 1.206 (0.839–1.733) 0.312   1.151 (0.785–1.687) 0.471   
Molecular subtype of tumor         
 ER-positive 0.737 (0.491–1.106) 0.141   0.491 (0.321–0.753) 0.001* 0.709 (0.400–1.256) 0.239 
 PgR-positive 0.865 (0.587–1.274) 0.162   0.743 (0.494–1.116) 0.152   
 HER2-positive 0.972 (0.630–1.502) 0.899   1.055 (0.665–1.675) 0.819   
 Triple-negative 1.649 (0.982–2.770) 0.059 1.826 (1.055–3.161) 0.031* 2.738 (1.612–4.650) 0.000 * 2.591 (1.500–4.477) 0.001 * 
 No of organs affected (≥3) 1.196 (0.812–1.762) 0.366   1.256 (0.838–1.882) 0.269   
Metastatic sites         
 Liver 1.709 (1.161–2.516) 0.007* 1.945 (1.276–2.963) 0.002* 1.746 (1.157–2.635) 0.008* 1.639 (1.082–2.482) 0.020 * 
 Lung 1.014 (0.692–1.486) 0.941   1.024 (0.681–1.539) 0.910   
 Bones 1.308 (0.905–1.890) 0.153   1.222 (0.827–1.805) 0.314   
 Lymph nodes 1.088 (0.737–1.606) 0.672   1.036 (0.686–1.566) 0.866   
 CNS 0.958 (0.419–2.186) 0.918   0.771 (0.337–1.763) 0.538   
 Skin 0.869 (0.440–1.717) 0.686   0.959 (0.484–1.903) 0.906   
Type of first-line chemotherapy         
 Taxane- or anthracyclin- single agents (reference)         
 Taxane-based 1.317 (0.782–2.219) 0.301   0.993 (0.585–1.687) 0.981   
 Combination without taxanes or anthracyclines 1.791 (1.002–3.201) 0.049* 2.086 (1.154–3.774) 0.015* 1.004 (0.553–1.823) 0.989   
 CSC+/partial-EMT+ CTCs 1.586 (1.060–2.374) 0.025* 1.785 (1.171–2.720) 0.007* 1.322 (0.856–2.042) 0.207   
PFSOS
Cox regression analysisUnivariateMultivariateUnivariateMultivariate
CovariatesHR (95% CI)PHR (95% CI)PHR (95% CI)PHR (95% CI)P
Age (≤59) 1.089 (0.759–1.562) 0.643   1.021 (0.697–1.496) 0.915   
Performance status (2–3) 1.451 (0.860–2.447) 0.163   1.425 (0.833–2.439) 0.196   
Menopausal status (pre) 1.201 (0.535–2.696) 0.658   1.085 (0.481–2.450) 0.844   
Grade (III vs. I/II) 1.128 (0.766–1.662) 0.542   1.072 (0.712–1.613) 0.739   
Adjuvant chemotherapy (yes) 1.206 (0.839–1.733) 0.312   1.151 (0.785–1.687) 0.471   
Molecular subtype of tumor         
 ER-positive 0.737 (0.491–1.106) 0.141   0.491 (0.321–0.753) 0.001* 0.709 (0.400–1.256) 0.239 
 PgR-positive 0.865 (0.587–1.274) 0.162   0.743 (0.494–1.116) 0.152   
 HER2-positive 0.972 (0.630–1.502) 0.899   1.055 (0.665–1.675) 0.819   
 Triple-negative 1.649 (0.982–2.770) 0.059 1.826 (1.055–3.161) 0.031* 2.738 (1.612–4.650) 0.000 * 2.591 (1.500–4.477) 0.001 * 
 No of organs affected (≥3) 1.196 (0.812–1.762) 0.366   1.256 (0.838–1.882) 0.269   
Metastatic sites         
 Liver 1.709 (1.161–2.516) 0.007* 1.945 (1.276–2.963) 0.002* 1.746 (1.157–2.635) 0.008* 1.639 (1.082–2.482) 0.020 * 
 Lung 1.014 (0.692–1.486) 0.941   1.024 (0.681–1.539) 0.910   
 Bones 1.308 (0.905–1.890) 0.153   1.222 (0.827–1.805) 0.314   
 Lymph nodes 1.088 (0.737–1.606) 0.672   1.036 (0.686–1.566) 0.866   
 CNS 0.958 (0.419–2.186) 0.918   0.771 (0.337–1.763) 0.538   
 Skin 0.869 (0.440–1.717) 0.686   0.959 (0.484–1.903) 0.906   
Type of first-line chemotherapy         
 Taxane- or anthracyclin- single agents (reference)         
 Taxane-based 1.317 (0.782–2.219) 0.301   0.993 (0.585–1.687) 0.981   
 Combination without taxanes or anthracyclines 1.791 (1.002–3.201) 0.049* 2.086 (1.154–3.774) 0.015* 1.004 (0.553–1.823) 0.989   
 CSC+/partial-EMT+ CTCs 1.586 (1.060–2.374) 0.025* 1.785 (1.171–2.720) 0.007* 1.322 (0.856–2.042) 0.207   

NOTE: Univariate and multivariate Cox regression analysis was performed to estimate the risk for relapse and death of patients with metastatic breast cancer. Parameters showing statistical significance (*) or a trend for significance (Italics) in the univariate Cox regression analysis were subsequently included in a multivariate Cox proportional hazards regression model to evaluate whether they were independently associated with the risk for progression and death. The detection of CSC+/partial-EMT+ CTCs at baseline was an independent factor predicting for increased risk of relapse. Similarly, combination therapy not including taxanes or anthracyclines was associated with increased risk of relapse. Triple-negative status of the primary tumor and liver metastases independently predicted for increased risk of relapse and death.

Abbreviation: HR; hazard ratio (Bold).

Separate analysis according to the HER2 status revealed that although the incidence of CSC+/partial-EMT-like CTCs prechemotherapy was similar among HER2-negative and HER2-positive patients (29.3% vs. 28.6%), their detection at baseline was associated with decreased survival only in the HER2-negative cohort (Fig. 3C–F; Table 3). Specifically, Kaplan–Meier analysis revealed a significantly reduced OS among HER2-negative patients with CSC+/partial-EMT+ CTCs compared with those not harboring this CTC subset [median 39 (range, 26.2–51.9) vs. 51 (range, 15.7–86.4) months (P = 0.020); Fig. 3F]. Multivariate Cox regression analysis confirmed that, in the HER2-negative patient cohort, the detection of CSC+/partial-EMT+ CTCs [HR: 2.283 (1.211–4.305); P = 0.011], triple negative tumors [HR (95% CI): 3.660 (1.602–8.360); P = 0.002], liver metastases [HR (95% CI): 3.503 (1.734–7.078); P = 0.000], and combination therapy without taxanes or anthracyclines [HR (95% CI): 5.264 (1.814–15.264); P = 0.002] were independently associated with increased risk for relapse (Table 3). The detection of CSC+/partial-EMT+ CTCs [HR: 2.228 (1.066–4.655); P = 0.033], triple negative tumors [HR (95% CI): 6.748 (2.833–16.072), P = 0.000], and liver metastases [HR (95% CI): 2.892 (1.448–5.775); P = 0.003] were also independently associated with increased risk for death (Table 3). In contrast, no correlations were observed between the detection of CK+ CTCs or of the other CTC phenotypes and outcome in either the HER2-positive or the HER2-negative cohorts.

Table 3.

Univariate and multivariate analysis for PFS and OS in the HER2-negative cohort

PFSOS
Cox regression analysisUnivariateMultivariateUnivariateMultivariate
CovariatesHR (95% CI)PHR (95% CI)PHR (95% CI)PHR (95% CI)P
Age (≤59) 1.172 (0.674–2.037) 0.573   1.107 (0.605–2.027) 0.741   
Performance status (2–3) 1.047 (0.411–2.664) 0.924   1.228 (0.430–3.507) 0.701   
Menopausal status (pre) 1.196 (0.342–4.183) 0.779   1.622 (0.458–5.736) 0.453   
Grade (III vs. I/II) 1.647 (0.911–2.977) 0.098   1.209 (0.642–2.278) 0.556   
Adjuvant chemotherapy (yes) 1.732 (0.958–3.131) 0.069   1.342 (0.731–2.465) 0.343   
Molecular subtype of tumor         
 Triple-negative vs. ER- or PgR-positive 2.514 (1.182–5.347) 0.017* 3.660 (1.602–8.360) 0.002* 6.072 (2.675–13.779) 0.000* 6.748 (2.833–16.072) 0.000* 
 No of organs affected (≥3) 1.085 (0.604–1.951) 0.784   1.331 (0.714–2.482) 0.368   
Metastatic sites         
 Liver 2.169 (1.165–4.041) 0.015* 3.503 (1.734–7.078) 0.000* 2.236 (1.156–4.324) 0.017* 2.892 (1.448–5.775) 0.003* 
 Lung 1.281 (0.729–2.251) 0.390   1.025 (0.553–1.899) 0.937   
 Bones 1.359 (0.764–2.419) 0.297   1.476 (0.782–2.787) 0.230   
 Lymph nodes 1.204 (0.674–2.150) 0.531   1.110 (0.594–2.073) 0.744   
 CNS 0.590 (0.139–2.500) 0.473   0.777 (0.183–3.305) 0.733   
 Skin 0.980 (0.235–4.081) 0.978   1.594 (0.379–6.708) 0.525   
Type of first-line chemotherapy         
 Taxane- or anthracyclin- single agents (reference)         
 Taxane-based 1.317 (0.576–3.010) 0.514   1.247 (0.533–2.920) 0.611   
 Combination without taxanes or anthracyclines 2.533 (0.997–6.435) 0.051 5.262 (1.814–15.264) 0.002* 1.222 (0.467–3.202) 0.683   
 CSC+/partial-EMT+ CTCs 1.765 (0.983–3.169) 0.057 2.283 (1.211–4.305) 0.011* 2.223 (1.115–4.429) 0.023* 2.228 (1.066–4.655) 0.033* 
PFSOS
Cox regression analysisUnivariateMultivariateUnivariateMultivariate
CovariatesHR (95% CI)PHR (95% CI)PHR (95% CI)PHR (95% CI)P
Age (≤59) 1.172 (0.674–2.037) 0.573   1.107 (0.605–2.027) 0.741   
Performance status (2–3) 1.047 (0.411–2.664) 0.924   1.228 (0.430–3.507) 0.701   
Menopausal status (pre) 1.196 (0.342–4.183) 0.779   1.622 (0.458–5.736) 0.453   
Grade (III vs. I/II) 1.647 (0.911–2.977) 0.098   1.209 (0.642–2.278) 0.556   
Adjuvant chemotherapy (yes) 1.732 (0.958–3.131) 0.069   1.342 (0.731–2.465) 0.343   
Molecular subtype of tumor         
 Triple-negative vs. ER- or PgR-positive 2.514 (1.182–5.347) 0.017* 3.660 (1.602–8.360) 0.002* 6.072 (2.675–13.779) 0.000* 6.748 (2.833–16.072) 0.000* 
 No of organs affected (≥3) 1.085 (0.604–1.951) 0.784   1.331 (0.714–2.482) 0.368   
Metastatic sites         
 Liver 2.169 (1.165–4.041) 0.015* 3.503 (1.734–7.078) 0.000* 2.236 (1.156–4.324) 0.017* 2.892 (1.448–5.775) 0.003* 
 Lung 1.281 (0.729–2.251) 0.390   1.025 (0.553–1.899) 0.937   
 Bones 1.359 (0.764–2.419) 0.297   1.476 (0.782–2.787) 0.230   
 Lymph nodes 1.204 (0.674–2.150) 0.531   1.110 (0.594–2.073) 0.744   
 CNS 0.590 (0.139–2.500) 0.473   0.777 (0.183–3.305) 0.733   
 Skin 0.980 (0.235–4.081) 0.978   1.594 (0.379–6.708) 0.525   
Type of first-line chemotherapy         
 Taxane- or anthracyclin- single agents (reference)         
 Taxane-based 1.317 (0.576–3.010) 0.514   1.247 (0.533–2.920) 0.611   
 Combination without taxanes or anthracyclines 2.533 (0.997–6.435) 0.051 5.262 (1.814–15.264) 0.002* 1.222 (0.467–3.202) 0.683   
 CSC+/partial-EMT+ CTCs 1.765 (0.983–3.169) 0.057 2.283 (1.211–4.305) 0.011* 2.223 (1.115–4.429) 0.023* 2.228 (1.066–4.655) 0.033* 

NOTE: Univariate and multivariate Cox regression analysis was performed to estimate the risk for relapse and death among HER2-negative patients with CTCs at baseline. Parameters showing statistical significance (*) or a trend for significance (Italics) in the univariate Cox regression analysis were subsequently included in a multivariate Cox proportional hazards regression model to evaluate whether they were independently associated with the risk of progression and death. The detection of CSC+/partial-EMT+ CTCs was an independent factor predicting for increased risk of relapse and death. Triple-negative tumors and liver metastases were associated with high risk for relapse and death, whereas combination therapy without taxanes or anthracyclines was predictive for increased risk for relapse.

Abbreviation: HR; hazard ratio (Bold).

In the current study, we evaluated the incidence and the prognostic significance of different CTC subpopulations, characterized according to the detection of stemness and EMT markers, before and after the administration of first-line chemotherapy in patients with metastatic breast cancer. We showed that only the CSC+/partial-EMT+ CTCs, co-expressing stemness and partial-EMT phenotypes, were enriched post-chemotherapy and that their enrichment was associated with lack of response to treatment. Moreover, the detection of this CTC subpopulation at baseline was an independent factor predictive of reduced PFS, whereas in the HER2-negative cohort, it was also predictive for decreased OS.

In this report, we confirmed, in a different and larger patient cohort, our previous findings showing that the CSC+/partial-EMT+ CTC subset is the most prevalent among patients with metastatic breast cancer (28). The detection of CSC+/partial-EMT-like CTCs at baseline was associated with the presence of lung metastases suggesting that CTC characterization could be suggestive of the pattern of metastatic spread. Importantly, CSC+/partial-EMT+ CTCs were highly enriched after treatment, in contrast to the other CTC subsets, namely CSC+/epithelial-like, non-CSC/epithelial-like or non-CSC/partial-EMT+ CTCs, which were numerically reduced post-chemotherapy. These findings suggest that CSC+/partial-EMT+ CTCs are resistant to conventional chemotherapeutic regimens. Conceivably, the enrichment of this CTC subset was associated with lack of objective response (stable or progressive disease) at the end of treatment. These observations are consistent with a study by Creighton and colleagues, showing that residual breast tumor cell populations surviving after conventional treatment were enriched for subpopulations of cells co-expressing stemness and EMT characteristics (20). Our findings also corroborate previous evidence in metastatic breast cancer, demonstrating a higher frequency of stemness and/or EMT markers on CTCs among non-responders compared with responders (32, 33); however, these studies included small numbers of patients.

In the current study, we show for the first time that the detection of CSC+/partial-EMT+ CTCs before the initiation of first-line chemotherapy was significantly associated with reduced PFS in patients with metastatic breast cancer. Importantly, the detection of this CTC subpopulation emerged as an independent prognostic factor for increased risk of relapse. This is in line with preclinical data showing that the partial-EMT state is critical for the tumorigenic activity of CSCs (34, 35). Although it is suggested that MET is required for the efficient colonization of tumor cells (36), the CSC+/epithelial-like subset did not show any prognostic significance. Because the liquid biopsy represents a "snapshot" of the CTC status in the circulation, it is unknown whether these cells initially lost and then regained their epithelial phenotype, or whether they passively entered the circulation without losing their epithelial character. Instead, CSC+/partial-EMT+ CTCs could maintain the ability for full epithelial transformation through MET after their extravasation at the metastatic site. Nevertheless, our findings are in accordance with a recent study in metastatic breast cancer showing that the detection of partial-EMT-like CTCs was predictive of poor outcome, in contrast to fully epithelial or fully mesenchymal CTCs, which lacked prognostic relevance (37).

An interesting finding of our study was that CSC+/partial-EMT+ CTCs were enriched post-chemotherapy only among HER2-negative patients, whereas no change in their frequency was evident in the HER2-positive cohort. The presence of these cells was also independently associated with decreased OS only in the HER2-negative cohort. These findings could be explained by a series of preclinical and clinical data, showing that HER2 expression drives the CSC population in breast cancer cell lines, mouse xenografts, and HER2-positive tumors and that HER2-targeted therapies effectively eliminate breast CSCs (38). In this study, we could not investigate HER2 expression on CSC+/partial-EMT+ CTCs due to the limitation of our technique in using up to three markers for combined analysis; nevertheless, a strong correlation has been previously shown between ALDH1 and HER2 overexpression (38, 39). We could thus hypothesize that CSC+/partial-EMT+ CTCs were neither enriched nor prognostic among HER2-positive patients because of the administration of HER2-targeting therapy, which can effectively eliminate these cells and is routinely applied as first-line treatment in these patients. Moreover, we could speculate that the improved clinical outcome observed for these patients is due to the increased effectiveness of anti-HER2 therapy on CSC+/partial-EMT+ CTCs.

The current study was performed in a large and well-defined cohort of patients with metastatic breast cancer who had samples available before and after first-line chemotherapy. This allowed the evaluation of the kinetics of phenotypically different CTC populations during treatment and consequently the detection of a chemoresistant subset. Thus, our results contribute and expand on the existing limited data regarding the phenotypic characterization of CTCs that persist post-chemotherapy in metastatic patients. In addition, EMT and stemness markers are frequently expressed on normal blood cells; therefore, they should preferably be evaluated on single CTCs, instead of CTC-enriched cell populations. Using the current methodology, we further evaluated the differential expression patterns of these markers on single CTCs, and thus, we defined the clinically relevant CTC subset. This suggests that CTC analysis at the protein level is important for understanding their biological role.

In our study, low CTC numbers were in general detected which, considering the high CTC heterogeneity (6), may represent a limitation for their further phenotypic analysis. The hematopoietic marker CD45 was not included in the immunofluorescence panel due to the limitation of our method in using up to three markers; however, the specificity of the A45/B-B3 pan-cytokeratin antibody used in this study has been extensively demonstrated in previous work from our group (27–29, 31). Moreover, the association of the CSC+/partial-EMT+ subset with worse patient outcome is suggestive of an underlying malignant behavior. Another limitation of the current study is that the detection of CTCs was exclusively based on CK expression and thus, fully mesenchymal CTCs with complete loss of CK could not be identified. In addition, no functional assays were performed to confirm whether CTCs bearing the CSC+/partial-EMT+ phenotype were actually endowed with stem cell properties in vitro and/or in vivo. Nevertheless, we consider that it is clearly demonstrated that the simultaneous expression of distinct CSC and partial-EMT phenotypes on CTCs may identify an aggressive CTC subpopulation with clinical relevance in metastatic breast cancer.

In conclusion, the current study shows that the detection of CSC+/partial-EMT+ CTCs in the peripheral blood of patients with metastatic breast cancer before the start of first-line chemotherapy is an independent factor predicting for reduced PFS, whereas in the HER2-negative cohort, it is also predictive of decreased OS. The incidence of this CTC subpopulation significantly increased post-chemotherapy, which was further associated with nonresponse at the end of treatment and HER2-negative disease status. These results highlight the importance of CTC analysis for the detection of tumor cell subpopulations that could drive tumor progression. Moreover, they suggest that the detection of CSC+/partial-EMT+ CTCs could serve for the refinement of prognosis in patients with breast cancer undergoing first-line chemotherapy. Patients bearing this CTC population may not benefit from conventional chemotherapy regimens and are in need of novel targeted therapies against molecules and pathways involved in the regulation of stemness and EMT states. Indeed, agents targeting CSCs directly or via reversing EMT are currently in phase I/II clinical trials (40), and thus the real-time evaluation of CSC and EMT markers at the CTC level could be used for the selection of patients who could benefit the most.

No potential conflicts of interest were disclosed.

Conception and design: M.A. Papadaki, G. Stoupis, V. Georgoulias, S. Agelaki

Development of methodology: M.A. Papadaki, P.A. Theodoropoulos

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): M.A. Papadaki, S. Agelaki

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): M.A. Papadaki, P.A. Theodoropoulos, D. Mavroudis, S. Agelaki

Writing, review, and/or revision of the manuscript: M.A. Papadaki, P.A. Theodoropoulos, D. Mavroudis, V. Georgoulias, S. Agelaki

Study supervision: D. Mavroudis, S. Agelaki

The current work was partially funded by the nonprofit organization ARSA (Anticancer Research Support Association), Heraklion, Greece, and by a "Maria-Michail Manassaki Foundation" Scholarship offered to M.A. Papadaki. The funding bodies had no role in the design of the study, the collection, analysis and interpretation of data or the manuscript preparation.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1.
Androulakis
N
,
Agelaki
S
,
Perraki
M
,
Apostolaki
S
,
Bozionelou
V
,
Pallis
A
, et al
Clinical relevance of circulating CK-19mRNA-positive tumour cells before front-line treatment in patients with metastatic breast cancer
.
Br J Cancer
2012
;
106
:
1917
25
.
2.
Cristofanilli
M
,
Budd
GT
,
Ellis
MJ
,
Stopeck
A
,
Matera
J
,
Miller
MC
, et al
Circulating tumor cells, disease progression, and survival in metastatic breast cancer
.
N Engl J Med
2004
;
351
:
781
91
.
3.
Liu
MC
,
Shields
PG
,
Warren
RD
,
Cohen
P
,
Wilkinson
M
,
Ottaviano
YL
, et al
Circulating tumor cells: a useful predictor of treatment efficacy in metastatic breast cancer
.
J Clin Oncol
2009
;
27
:
5153
9
.
4.
Bidard
FC
,
Peeters
DJ
,
Fehm
T
,
Nole
F
,
Gisbert-Criado
R
,
Mavroudis
D
, et al
Clinical validity of circulating tumour cells in patients with metastatic breast cancer: a pooled analysis of individual patient data
.
Lancet Oncol
2014
;
15
:
406
14
.
5.
Alix-Panabieres
C
,
Bartkowiak
K
,
Pantel
K
. 
Functional studies on circulating and disseminated tumor cells in carcinoma patients
.
Mol Oncol
2016
;
10
:
443
9
.
6.
Gorges
TM
,
Kuske
A
,
Rock
K
,
Mauermann
O
,
Muller
V
,
Peine
S
, et al
Accession of tumor heterogeneity by multiplex transcriptome profiling of single circulating tumor cells
.
Clin Chem
2016
;
62
:
1504
15
.
7.
Kallergi
G
,
Agelaki
S
,
Papadaki
MA
,
Nasias
D
,
Matikas
A
,
Mavroudis
D
, et al
Expression of truncated human epidermal growth factor receptor 2 on circulating tumor cells of breast cancer patients
.
Breast Cancer Res
2015
;
17
:
113
.
8.
Alix-Panabieres
C
,
Pantel
K
. 
Circulating tumor cells: liquid biopsy of cancer
.
Clin Chem
2013
;
59
:
110
8
.
9.
Agelaki
S
,
Dragolia
M
,
Markonanolaki
H
,
Alkahtani
S
,
Stournaras
C
,
Georgoulias
V
, et al
Phenotypic characterization of circulating tumor cells in triple negative breast cancer patients
.
Oncotarget
2017
;
8
:
5309
22
.
10.
Lianidou
ES
,
Markou
A
,
Strati
A
. 
Molecular characterization of circulating tumor cells in breast cancer: challenges and promises for individualized cancer treatment
.
Cancer Metastasis Rev
2012
;
31
:
663
71
.
11.
Werner
S
,
Stenzl
A
,
Pantel
K
,
Todenhofer
T
. 
Expression of epithelial mesenchymal transition and cancer stem cell markers in circulating tumor cells
.
Adv Exp Med Biol
2017
;
994
:
205
28
.
12.
Vincent-Salomon
A
,
Thiery
JP
. 
Host microenvironment in breast cancer development: epithelial-mesenchymal transition in breast cancer development
.
Breast Cancer Res
2003
;
5
:
101
6
.
13.
Nieto
MA
,
Huang
RY
,
Jackson
RA
,
Thiery
JP
. 
EMT: 2016
.
Cell
2016
;
166
:
21
45
.
14.
Croker
AK
,
Allan
AL
. 
Inhibition of aldehyde dehydrogenase (ALDH) activity reduces chemotherapy and radiation resistance of stem-like ALDHhiCD44(+) human breast cancer cells
.
Breast Cancer Res Treat
2012
;
133
:
75
87
.
15.
Liu
H
,
Patel
MR
,
Prescher
JA
,
Patsialou
A
,
Qian
D
,
Lin
J
, et al
Cancer stem cells from human breast tumors are involved in spontaneous metastases in orthotopic mouse models
.
Proc Natl Acad Sci U S A
2010
;
107
:
18115
20
.
16.
Mani
SA
,
Guo
W
,
Liao
MJ
,
Eaton
EN
,
Ayyanan
A
,
Zhou
AY
, et al
The epithelial-mesenchymal transition generates cells with properties of stem cells
.
Cell
2008
;
133
:
704
15
.
17.
Morel
AP
,
Lievre
M
,
Thomas
C
,
Hinkal
G
,
Ansieau
S
,
Puisieux
A
. 
Generation of breast cancer stem cells through epithelial-mesenchymal transition
.
PLoS One
2008
;
3
:
e2888
.
18.
Ansieau
S
. 
EMT in breast cancer stem cell generation
.
Cancer Lett
2013
;
338
:
63
8
.
19.
May
CD
,
Sphyris
N
,
Evans
KW
,
Werden
SJ
,
Guo
W
,
Mani
SA
. 
Epithelial-mesenchymal transition and cancer stem cells: a dangerously dynamic duo in breast cancer progression
.
Breast Cancer Res
2011
;
13
:
202
.
20.
Creighton
CJ
,
Li
X
,
Landis
M
,
Dixon
JM
,
Neumeister
VM
,
Sjolund
A
, et al
Residual breast cancers after conventional therapy display mesenchymal as well as tumor-initiating features
.
Proc Natl Acad Sci U S A
2009
;
106
:
13820
5
.
21.
Saxena
M
,
Stephens
MA
,
Pathak
H
,
Rangarajan
A
. 
Transcription factors that mediate epithelial-mesenchymal transition lead to multidrug resistance by upregulating ABC transporters
.
Cell Death Dis
2011
;
2
:
e179
.
22.
Li
QQ
,
Xu
JD
,
Wang
WJ
,
Cao
XX
,
Chen
Q
,
Tang
F
, et al
Twist1-mediated adriamycin-induced epithelial-mesenchymal transition relates to multidrug resistance and invasive potential in breast cancer cells
.
Clin Cancer Res
2009
;
15
:
2657
65
.
23.
Yang
J
,
Mani
SA
,
Donaher
JL
,
Ramaswamy
S
,
Itzykson
RA
,
Come
C
, et al
Twist, a master regulator of morphogenesis, plays an essential role in tumor metastasis
.
Cell
2004
;
117
:
927
39
.
24.
Charafe-Jauffret
E
,
Ginestier
C
,
Iovino
F
,
Wicinski
J
,
Cervera
N
,
Finetti
P
, et al
Breast cancer cell lines contain functional cancer stem cells with metastatic capacity and a distinct molecular signature
.
Cancer Res
2009
;
69
:
1302
13
.
25.
Alix-Panabieres
C
,
Mader
S
,
Pantel
K
. 
Epithelial-mesenchymal plasticity in circulating tumor cells
.
J Mol Med
2017
;
95
:
133
42
.
26.
Theodoropoulos
PA
,
Polioudaki
H
,
Agelaki
S
,
Kallergi
G
,
Saridaki
Z
,
Mavroudis
D
, et al
Circulating tumor cells with a putative stem cell phenotype in peripheral blood of patients with breast cancer
.
Cancer Lett
2010
;
288
:
99
106
.
27.
Kallergi
G
,
Papadaki
MA
,
Politaki
E
,
Mavroudis
D
,
Georgoulias
V
,
Agelaki
S
. 
Epithelial to mesenchymal transition markers expressed in circulating tumour cells of early and metastatic breast cancer patients
.
Breast Cancer Res
2011
;
13
:
R59
.
28.
Papadaki
MA
,
Kallergi
G
,
Zafeiriou
Z
,
Manouras
L
,
Theodoropoulos
PA
,
Mavroudis
D
, et al
Co-expression of putative stemness and epithelial-to-mesenchymal transition markers on single circulating tumour cells from patients with early and metastatic breast cancer
.
BMC Cancer
2014
;
14
:
651
.
29.
Kallergi
G
,
Konstantinidis
G
,
Markomanolaki
H
,
Papadaki
MA
,
Mavroudis
D
,
Stournaras
C
, et al
Apoptotic circulating tumor cells in early and metastatic breast cancer patients
.
Mol Cancer Ther
2013
;
12
:
1886
95
.
30.
Kallergi
G
,
Markomanolaki
H
,
Giannoukaraki
V
,
Papadaki
MA
,
Strati
A
,
Lianidou
ES
, et al
Hypoxia-inducible factor-1alpha and vascular endothelial growth factor expression in circulating tumor cells of breast cancer patients
.
Breast Cancer Res
2009
;
11
:
R84
.
31.
Politaki
E
,
Agelaki
S
,
Apostolaki
S
,
Hatzidaki
D
,
Strati
A
,
Koinis
F
, et al
A comparison of three methods for the detection of circulating tumor cells in patients with early and metastatic breast cancer
.
Cell Physiol Biochem
2017
;
44
:
594
606
.
32.
Aktas
B
,
Tewes
M
,
Fehm
T
,
Hauch
S
,
Kimmig
R
,
Kasimir-Bauer
S
. 
Stem cell and epithelial-mesenchymal transition markers are frequently overexpressed in circulating tumor cells of metastatic breast cancer patients
.
Breast Cancer Res
2009
;
11
:
R46
.
33.
Yu
M
,
Bardia
A
,
Wittner
BS
,
Stott
SL
,
Smas
ME
,
Ting
DT
, et al
Circulating breast tumor cells exhibit dynamic changes in epithelial and mesenchymal composition
.
Science
2013
;
339
:
580
4
.
34.
Jolly
MK
,
Jia
D
,
Boareto
M
,
Mani
SA
,
Pienta
KJ
,
Ben-Jacob
E
, et al
Coupling the modules of EMT and stemness: A tunable ‘stemness window’ model
.
Oncotarget
2015
;
6
:
25161
74
.
35.
Malfettone
A
,
Soukupova
J
,
Bertran
E
,
Crosas-Molist
E
,
Lastra
R
,
Fernando
J
, et al
Transforming growth factor-beta-induced plasticity causes a migratory stemness phenotype in hepatocellular carcinoma
.
Cancer Lett
2017
;
392
:
39
50
.
36.
Ocana
OH
,
Corcoles
R
,
Fabra
A
,
Moreno-Bueno
G
,
Acloque
H
,
Vega
S
, et al
Metastatic colonization requires the repression of the epithelial-mesenchymal transition inducer Prrx1
.
Cancer Cell
2012
;
22
:
709
24
.
37.
Bulfoni
M
,
Gerratana
L
,
Del
BF
,
Marzinotto
S
,
Sorrentino
M
,
Turetta
M
, et al
In patients with metastatic breast cancer the identification of circulating tumor cells in epithelial-to-mesenchymal transition is associated with a poor prognosis
.
Breast Cancer Res
2016
;
18
:
30
.
38.
Ithimakin
S
,
Day
KC
,
Malik
F
,
Zen
Q
,
Dawsey
SJ
,
Bersano-Begey
TF
, et al
HER2 drives luminal breast cancer stem cells in the absence of HER2 amplification: implications for efficacy of adjuvant trastuzumab
.
Cancer Res
2013
;
73
:
1635
46
.
39.
Korkaya
H
,
Paulson
A
,
Iovino
F
,
Wicha
MS
. 
HER2 regulates the mammary stem/progenitor cell population driving tumorigenesis and invasion
.
Oncogene
2008
;
27
:
6120
30
.
40.
Shibue
T
,
Weinberg
RA
. 
EMT, CSCs, and drug resistance: the mechanistic link and clinical implications
.
Nat Rev Clin Oncol
2017
;
14
:
611
29
.

Supplementary data