Dieter Peeters

mRNA and microRNA expression profiles in circulating tumor cells and primary tumors of metastatic breast cancer patients

Purpose: Molecular characterization of circulating tumor cells (CTC) holds great promise. Unfortunately, routinely isolated CTC fractions currently still contain contaminating leukocytes, which makes CTC-specific molecular characterization extremely challenging. In this study, we determined mRNA and microRNA (miRNA) expression of potentially CTC-specific genes that are considered to be clinically relevant in breast cancer. Experimental Design: CTCs were isolated with the epithelial cell adhesion molecule–based CellSearch Profile Kit. Selected genes were measured by real-time reverse transcriptase PCR in CTCs of 50 metastatic breast cancer patients collected before starting first-line systemic therapy in blood from 53 healthy blood donors (HBD) and in primary tumors of 8 of the patients. The molecular profiles were associated with CTC counts and clinical parameters and compared with the profiles generated from the corresponding primary tumors. Results: We identified 55 mRNAs and 10 miRNAs more abundantly expressed in samples from 32 patients with at least 5 CTCs in 7.5 mL of blood compared with samples from 9 patients without detectable CTCs and HBDs. Clustering analysis resulted in 4 different patient clusters characterized by 5 distinct gene clusters. Twice the number of patients from cluster 2 to 4 had developed both visceral and nonvisceral metastases. Comparing transcript levels in CTCs with those measured in corresponding primary tumors showed clinically relevant discrepancies in estrogen receptor and HER2 levels. Conclusions: Our study shows that molecular profiling of low numbers of CTCs in a high background of leukocytes is feasible and shows promise for further studies on the clinical relevance of molecular characterization of CTCs. Clin Cancer Res; 17(11); 3600–18. ©2011 AACR.

Circulating tumour cell detection: a direct comparison between the CellSearch System, the AdnaTest and CK-19/mammaglobin RT-PCR in patients with metastatic breast cancer

Background:The detection, enumeration and isolation of circulating tumour cells (CTCs) have considerable potential to influence the clinical management of patients with breast cancer. There is, however, substantial variability in the rates of positive samples using existing detection techniques. The lack of standardisation of technology hampers the implementation of CTC measurement in clinical routine practice.Methods:This study was designed to directly compare three techniques for detecting CTCs in blood samples taken from 76 patients with metastatic breast cancer (MBC) and from 20 healthy controls: the CellSearch CTC System, the AdnaTest Breast Cancer Select/Detect and a previously developed real-time qRT-PCR assay for the detection of CK-19 and mammaglobin transcripts.Results:As a result, 36% of patients with MBC were positive by the CellSearch System, 22% by the AdnaTest, 26% using RT–PCR for CK-19 and 54% using RT–PCR for mammaglobin. Samples were significantly more likely to be positive for at least one mRNA marker using RT–PCR than using the CellSearch System (P=0.001) or the AdnaTest (P<0.001).Conclusion:We observed a substantial variation in the detection rates of CTCs in blood from breast cancer patients using three different techniques. A higher rate of positive samples was observed using a combined qRT-PCR approach for CK-19 and mammaglobin, which suggests that this is currently the most sensitive technique for detecting CTCs.

Expression profiling of cancerous and normal breast tissues identifies microRNAs that are differentially expressed in serum from patients with (metastatic) breast cancer and healthy volunteers.

IntroductionMicroRNAs (miRNAs) are a group of small noncoding RNAs involved in the regulation of gene expression. As such, they regulate a large number of cellular pathways, and deregulation or altered expression of miRNAs is associated with tumorigenesis. In the current study, we evaluated the feasibility and clinical utility of circulating miRNAs as biomarkers for the detection and staging of breast cancer.MethodsmiRNAs were extracted from a set of 84 tissue samples from patients with breast cancer and eight normal tissue samples obtained after breast-reductive surgery. After reverse transcription and preamplification, 768 miRNAs were profiled by using the TaqMan low-density arrays. After data normalization, unsupervised hierarchical cluster analysis (UHCA) was used to investigate global differences in miRNA expression between cancerous and normal samples. With fold-change analysis, the most discriminating miRNAs between both tissue types were selected, and their expression was analyzed on serum samples from 20 healthy volunteers and 75 patients with breast cancer, including 16 patients with untreated metastatic breast cancer. miRNAs were extracted from 200 μl of serum, reverse transcribed, and analyzed in duplicate by using polymerase chain reaction (qRT-PCR).ResultsUHCA showed major differences in miRNA expression between tissue samples from patients with breast cancer and tissue samples from breast-reductive surgery (P < 0.0001). Generally, miRNA expression in cancerous samples tends to be repressed when compared with miRNA expression in healthy controls (P = 0.0685). The four most discriminating miRNAs by fold-change (miR-215, miR-299-5p, miR-411, and miR-452) were selected for further analysis on serum samples. All miRNAs at least tended to be differentially expressed between serum samples from patients with cancer and serum samples from healthy controls (miR-215, P = 0.094; miR-299-5P, P = 0.019; miR-411, P = 0.002; and miR-452, P = 0.092). For all these miRNAs, except for miR-452, the greatest difference in expression was observed between serum samples from healthy volunteers and serum samples from untreated patients with metastatic breast cancer.ConclusionsOur study provides a basis for the establishment of miRNAs as biomarkers for the detection and eventually staging of breast cancer through blood-borne testing. We identified and tested a set of putative biomarkers of breast cancer and demonstrated that altered levels of these miRNAs in serum from patients with breast cancer are particularly associated with the presence of metastatic disease.

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.

External quality assurance of circulating tumor cell enumeration using the CellSearch(®) system: a feasibility study.

Circulating tumor cells (CTCs) are cells that have detached from solid tumors and entered the blood. CTCs can be detected, among others, by semi‐automated immunomagnetic enrichment and image cytometry using CellSearch® (Veridex, Raritan, NJ). We studied the feasibility of external quality assurance (EQA) of the entire CellSearch procedure from blood draw to interpretation of results in multiple laboratories.

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.

Microarray-based oncogenic pathway profiling in advanced serous papillary ovarian carcinoma.

Introduction The identification of specific targets for treatment of ovarian cancer patients remains a challenge. The objective of this study is the analysis of oncogenic pathways in ovarian cancer and their relation with clinical outcome. Methodology A meta-analysis of 6 gene expression datasets was done for oncogenic pathway activation scores: AKT, β-Catenin, BRCA, E2F1, EGFR, ER, HER2, INFα, INFγ, MYC, p53, p63, PI3K, PR, RAS, SRC, STAT3, TNFα, and TGFβ and VEGF-A. Advanced serous papillary tumours from uniformly treated patients were selected (N = 464) to find differences independent from stage-, histology- and treatment biases. Survival and correlations with documented prognostic signatures (wound healing response signature WHR/genomic grade index GGI/invasiveness gene signature IGS) were analysed. Results The GGI, WHR, IGS score were unexpectedly increased in chemosensitive versus chemoresistant patients. PR and RAS activation score were associated with survival outcome (p = 0.002;p = 0.004). Increased activations of β-Catenin (p = 0.0009), E2F1 (p = 0.005), PI3K (p = 0.003) and p63 (p = 0.05) were associated with more favourable clinical outcome and were consistently correlated with three prognostic gene signatures. Conclusions Oncogenic pathway profiling of advanced serous ovarian tumours revealed that increased β-Catenin, E2F1, p63, PI3K, PR and RAS –pathway activation scores were significantly associated with favourable clinical outcome. WHR, GGI and IGS scores were unexpectedly increased in chemosensitive tumours. Earlier studies have shown that WHR, GGI and IGS are strongly associated with proliferation and that high-proliferative ovarian tumours are more chemosensitive. These findings may indicate opposite confounding of prognostic versus predictive factors when studying biomarkers in epithelial ovarian cancer.

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.

Evaluation and consequences of heterogeneity in the circulating tumor cell compartment

A growing understanding of the molecular biology of cancer and the identification of specific aberrations driving cancer evolution have led to the development of various targeted agents. Therapeutic decisions concerning these drugs are often guided by single biopsies of the primary tumor. Yet, it is well known that tumors can exhibit significant heterogeneity and change over time as a result of selective pressure. Circulating tumor cells (CTCs) are shed from various tumor sites and are thought to represent the molecular landscape of a patients overall tumor burden. Moreover, a minimal-invasive liquid biopsy facilitates monitoring of clonal evolution during therapy pressure and disease progression in real-time. While more information becomes available regarding heterogeneity among CTCs, comparison between these studies is needed. In this review, we focus on the genomic and transcriptional heterogeneity found in the CTC compartment, and its significance for clinical decision making.