Current and future role of circulating tumor cells in patients with epithelial ovarian cancer.

Circulating tumor cells (CTCs) are viable tumor cells that are released into the circulatory system. CTCs have shown a prognostic value in numerous solid tumors. CTC research in epithelial ovarian carcinoma (EOC) has attracted only little attention. Since the primary route of metastasis in EOC is considered to be direct peritoneal spread in the abdominal cavity and distant metastases only occur in one third of the patients, it was thought that there is not enough shedding of tumor cells in the circulation. Nevertheless recent studies revealed an important role of hematogenous spread in EOC and showed that CTC status is associated with advanced tumor stage, CA-125 levels and residual disease after surgery. Furthermore the presence of CTCs correlates with shorter overall and disease free survival. However this prognostic value of CTCs in EOC seems to depend on the used isolation and detection methods. In EOC function- or density based enrichment methods seem to offer more promising results then epithelial cell adhesion molecule (EpCAM)-based approaches. This can be explained by a low number of EpCAM positive CTCs in EOC and the downregulation of EpCAM during epithelial-to-mesenchymal transition (EMT). The presence of CTCs might also have predictive value as CTC status was associated with treatment response in two studies and CTCs showed to be a better monitoring tool then CA-125 in a small population. The (genotypic) characterization of CTCs might become even more important in the future paving the way for CTCs to a true predictive "liquid tumor biopsy".

Gene expression profiles in circulating tumor cells to predict prognosis in metastatic breast cancer patients.

BACKGROUND: A circulating tumor cell (CTC) count is an established prognostic factor in metastatic breast cancer (MBC). Besides enumeration, CTC characterization promises to improve outcome prediction and treatment guidance. Having shown the feasibility of quantifying clinically relevant mRNA transcripts in CTCs, we determined the prognostic value of CTC gene expression in MBC. PATIENTS AND METHODS: CTCs were isolated and enumerated from blood of 197 MBC patients who were about to start first-line systemic therapy. Of these, 180 were assessable for quantification of mRNA expression by RT-qPCR in relation to time-to-treatment failure (TTF). A prognostic CTC gene profile was generated by leave-one-out cross validation in a 103 patient discovery set and validated in 77 patients. Additionally, all 180 patients were randomly divided into two equal sets to discover and validate a second prognostic profile. RESULTS: CTC count predicted for TTF at baseline {≥5 versus <5 CTCs/7.5 ml blood, hazard ratio (HR) 2.92 [95% confidence interval (CI) 1.71-4.95] P < 0.0001}. A 16-gene CTC profile was generated in the first discovery set, which identified patients with death or TTF <9 months versus those with a better outcome. In multivariate analysis, the 16-gene profile was the only factor associated with TTF [HR 3.15 (95% CI 1.35-7.33) P 0.008]. Validation of this profile in the independent patient set pointed into the same direction, but was not statistically significant. A newly generated 8-gene profile showed similarly favorable test characteristics as the 16-gene profile, but did not significantly pass validation either. CONCLUSION: A 16-gene CTC profile was identified, which provided prognostic value on top of CTC count in MBC patients. However, validation of this profile in an independent cohort, nor of a second profile, reached statistical significance, underscoring the need to further fine-tune the still promising approach of CTC characterization.

Detection and prognostic significance of circulating tumour cells in patients with metastatic breast cancer according to immunohistochemical subtypes.

BACKGROUND: The enumeration of circulating tumour cells (CTCs) with the EpCAM-based CellSearch system has prognostic significance in patients with metastatic breast cancer (MBC). The aim of this study was to explore potential differences in the detection and prognostic significance of CTCs in MBC according to immunohistochemical subtypes of breast cancer. METHODS: CellSearch CTC counts were obtained from 154 MBC patients before first-line systemic treatment between November 2007 and August 2012. Patients were categorised in five subgroups according to immunohistochemical surrogate definitions of intrinsic subtypes in breast cancer based on hormone receptor status, HER2/neu status and histological grade. Differences in progression-free (PFS) and overall survival (OS) were assessed relative to the cut-off value of ≥5 CTCs per 7.5 ml blood. RESULTS: No significant differences were observed in the absolute CTC counts (P=0.120) or in CTC positivity rates according to ≥1 and ≥5 CTCs per 7.5 ml blood detection thresholds (P=0.165 and P=0.651, respectively) between immunohistochemical subtypes. However, very high CTC counts, defined as ≥80 CTCs per 7.5 ml, were observed more frequently in patients with Luminal A and triple negative (TN) breast cancer (P=0.024). In the total study population, the presence of ≥5 CTCs was the single most significant prognostic factor for both PFS and OS in multivariate analysis (P<0.001). A more limited prognostic impact, not reaching statistical significance, was observed in patients with HER2-positive disease as opposed to patients with Luminal A, Luminal B-HER2-negative and TN disease. CONCLUSION: The detection of EpCAM+CTCs was not clearly associated with any of the immunohistochemical subtypes of breast cancer in patients with MBC before first-line treatment. Potentially clinically relevant differences were however observed at very high CTC counts. Furthermore, our data suggest a lower prognostic significance of CTC evaluation in HER2-positive patients with MBC.

Semiautomated isolation and molecular characterisation of single or highly purified tumour cells from CellSearch enriched blood samples using dielectrophoretic cell sorting.

BACKGROUND: Molecular characterisation of single circulating tumour cells (CTCs) holds considerable promise for predictive biomarker assessment and to explore CTC heterogeneity. We evaluate a new method, the DEPArray system, that allows the dielectrophoretic manipulation and isolation of single and 100% purified groups of CTCs from pre-enriched blood samples and explore the feasibility of their molecular characterisation. METHODS: Samples containing known numbers of two cell populations were used to assess cell loss during sample loading. Cultured breast cancer cells were isolated from spiked blood samples using CellSearch CTC and Profile kits. Single tumour cells and groups of up to 10 tumour cells were recovered with the DEPArray system and subjected to transcriptional and mutation analysis. RESULTS: On average, 40% cell loss was observed when loading samples to the DEPArray system. Expected mutations in clinically relevant markers could be obtained for 60% of single recovered tumour cells and all groups of tumour cells. Reliable gene expression profiles were obtained from single cells and groups of up to 10 cells for 2 out of 3 spiked breast cancer cell lines. CONCLUSION: We describe a semiautomated workflow for the isolation of small groups of 1 to 10 tumour cells from whole blood samples and provide proof of principle for the feasibility of their comprehensive molecular characterisation.

Circulating tumour cells in the central and the peripheral venous compartment in patients with metastatic breast cancer.

BACKGROUND: The enumeration of circulating tumour cells (CTC) has prognostic significance in patients with metastatic breast cancer (MBC) and monitoring of CTC levels over time has considerable potential to guide treatment decisions. However, little is known on CTC kinetics in the human bloodstream. METHODS: In this study, we compared the number of CTC in both 7.5 ml central venous blood (CVB) and 7.5 ml peripheral venous blood (PVB) from 30 patients with MBC starting with a new line of chemotherapy. RESULTS: The number of CTC was found to be significantly higher in CVB (median: 43.5; range: 0-4036) than in PVB (median: 33; range: 0-4013) (P=0.001). When analysing samples pairwise, CTC counts were found to be significantly higher in CVB than in PVB in 12 out of 26 patients with detectable CTC. In contrast, only 2 out of 26 patients had higher CTC counts in PVB as compared with CVB, whereas in 12 remaining patients no significant difference was seen. The pattern of CTC distribution was independent of the sites of metastatic involvement. CONCLUSION: A substantial difference in the number of CTC was observed between CVB and PVB of patients with MBC. Registration of the site of blood collection is warranted in studies evaluating the role of CTC assessment in these patients.