scholarly journals Circulating Tumor Cell Transcriptomics as Biopsy Surrogates in Metastatic Breast Cancer

2022 ◽  
Author(s):  
Alexander Ring ◽  
Daniel Campo ◽  
Tania B. Porras ◽  
Pushpinder Kaur ◽  
Victoria A. Forte ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Tumor Cells ◽  
Peripheral Blood ◽  
Primary Tumor ◽  
Metastatic Breast ◽  
Distant Metastases ◽  
Predictive Biomarker ◽  
Observation Data ◽  
Rna Seq

Abstract Background Metastatic breast cancer (MBC) and the circulating tumor cells (CTCs) leading to macrometastases are inherently different than primary breast cancer. We evaluated whether whole transcriptome RNA-Seq of CTCs isolated via an epitope-independent approach may serve as a surrogate for biopsies of macrometastases. Methods We performed RNA-Seq on fresh metastatic tumor biopsies, CTCs, and peripheral blood (PB) from 19 newly diagnosed MBC patients. CTCs were harvested using the ANGLE Parsortix microfluidics system to isolate cells based on size and deformability, independent of a priori knowledge of cell surface marker expression. Results Gene expression separated CTCs, metastatic biopsies, and PB into distinct groups despite heterogeneity between patients and sample types. CTCs showed higher expression of immune oncology targets compared with corresponding metastases and PB. Predictive biomarker (n = 64) expression was highly concordant for CTCs and metastases. Repeat observation data post-treatment demonstrated changes in the activation of different biological pathways. Somatic single nucleotide variant analysis showed increasing mutational complexity over time. Conclusion We demonstrate that RNA-Seq of CTCs could serve as a surrogate biomarker for breast cancer macrometastasis and yield clinically relevant insights into disease biology and clinically actionable targets. Visual Abstract Primary tumor cells (left side) disseminate via the blood stream to seed distant metastases (right side). Peripheral blood can be used for enrichment of CTCs (potentially representative of the full heterogeneity of a patient’s cancer) as a liquid biopsy. RNA-Seq can identify predictive biomarker expression in enriched CTCs as a surrogate for macrometastatic tissue biopsies. Different colored circles represent different cancer cell clones, representing heterogeneity in the primary tumor, and increased heterogeneity in metastatic tumors.

Circulating Tumor Cells in HER-2 Positive Metastatic Breast Cancer Patients Treated with Trastuzumab and Chemotherapy

2009 ◽  
Vol 24 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Raquel A. Nunes ◽  
Xiaochun Li ◽  
Soonmo Peter Kang ◽  
Harold Burstein ◽  
Lisa Roberts ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Treatment Response ◽  
Cancer Patients ◽  
Tumor Cells ◽  
Circulating Tumor Cells ◽  
Peripheral Blood ◽  
Metastatic Breast ◽  
Breast Cancer Patients ◽  
Her 2

The detection of circulating tumor cells (CTCs) in peripheral blood may have important prognostic and predictive implications in breast cancer treatment. A limitation in this field has been the lack of a validated method of accurately measuring CTCs. While sensitivity has improved using RT-PCR, specificity remains a major challenge. The goal of this paper is to present a sensitive and specific methodology of detecting CTCs in women with HER-2-positive metastatic breast cancer, and to examine its role as a marker that tracks disease response during treatment with trastuzumab-containing regimens. The study included patients with HER-2-positive metastatic breast cancer enrolled on two different clinical protocols using a trastuzumab-containing regimen. Serial CTCs were measured at planned time points and clinical correlations were made. Immunomagnetic selection of circulating epithelial cells was used to address the specificity of tumor cell detection using cytokeratin 19 (CK19). In addition, the extracellular domain of the HER-2 protein (HER-2/ECD) was measured to determine if CTCs detected by CK19 accurately reflect tumor burden. The presence of CTCs at first restaging was associated with disease progression. We observed an association between CK19 and HER-2/ECD. The association of HER-2/ECD with clinical response followed a similar pattern to that seen with CK19. Finally, the absence of HER-2/ECD at best overall response and a change of HER-2/ECD from positive at baseline to negative at best overall response was associated with favorable treatment response. Our study supports the prognostic and predictive role of the detection of CTCs in treatment of HER-2-positive metastatic breast cancer patients. The association between CK19 and markers of disease burden is in line with the concept that CTCs may be a reliable measure of tumor cells in the peripheral blood of patients with metastatic breast cancer. The association of CTCs at first restaging with treatment failure indicates that CTCs may have a role as surrogate markers to monitor treatment response.

Detection of circulating tumor cells in peripheral blood of heavily treated metastatic breast cancer patients

Breast Cancer ◽  
2011 ◽  
Vol 18 (3) ◽  
pp. 195-202 ◽  
Author(s):  
Nahomi Tokudome ◽  
Yoshinori Ito ◽  
Shunji Takahashi ◽  
Kokoro Kobayashi ◽  
Shinichiro Taira ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Cancer Patients ◽  
Tumor Cells ◽  
Circulating Tumor Cells ◽  
Peripheral Blood ◽  
Metastatic Breast ◽  
Breast Cancer Patients

Morphologic variation of circulating tumor cells in metastatic breast cancer patients visualized by immunofluorescent stain pattern.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e21079-e21079
Author(s):  
Daniel Adams ◽  
Stuart S Martin ◽  
Monica Charpentier ◽  
Olga V Makarova ◽  
Peixuan Zhu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Cancer Patients ◽  
Tumor Cells ◽  
Circulating Tumor Cells ◽  
Peripheral Blood ◽  
Metastatic Breast ◽  
Immunofluorescent Staining ◽  
Initial Assessment ◽  
Breast Cancer Patients

e21079 Background: Isolation of circulating tumor cells (CTCs) using microfiltration is a growing utility in the field of CTC detection. The microfiltration approach can be used on peripheral blood as a non-invasive liquid biopsy for cancer detection and subtyping. We present a utilization of the CellSieve microfilter to subtype CTCs based on immunofluorescent staining pattern of cytokeratin filamentation and EpCAM surface marker expression. Our initial study on CTCs in patient blood indicates that disseminated CTC populations have high rates of phenotypic heterogeneity. Further detailed molecular analysis and patient tracking of these phenotypes may lead to individualized patient assessment based on CTC characterization. Methods: 7.5 mL of whole blood collected from metastatic breast cancer patients were diluted in a fixative solution. An 8 µm CellSieve precision microfilter was placed into a filter holder and the samples were passed through the filter (~ 90 seconds). The cells captured on the filter were fixed, permeabilized, and stained with DAPI, cytokeratin (FITC), EpCAM (PE), and CD45 (Cy5). Cells without CD45 staining were classified by their morphology, nuclear integrity and the presence of cytokeratin and EpCAM staining. Results: In our initial assessment, patient samples were found to have a number of phenotypic CTC subtypes. Cytokeratin filamentation was clearly seen on a number of CTCs while other cells presented with spotted patterns, implying CTCs in various stages of apoptosis. Later stage apoptosis, with segmented nuclear signature, was also seen in various samples. Cell clusters and cells in division were DAPI positive, while EpCAM positivity was negligible, 0-3 cells/sample, correlating with established data from the CellSearch CTC assay. Conclusions: In addition to enumeration, phenotypic variation of CTCs may be a valuable tool for the personalized care of cancer patients. We have shown that individual breast cancer patients have overlapping phenotypes of CTCs circulating in their peripheral blood. We have begun categorizing patients based on these phenotypes and plan to correlate them with overall prognosis.

Sign in / Sign up

Export Citation Format

Share Document