Single Cell Profiling of Circulating Tumor Cells: Transcriptional Heterogeneity and Diversity from Breast Cancer Cell Lines
To improve cancer therapy, it is critical to target metastasizing cells. Circulating tumor cells (CTCs) are rare cells found in the blood of patients with solid tumors and may play a key role in cancer dissemination. Uncovering CTC phenotypes offers a potential avenue to inform treatment. However, C...
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Published in | PloS one Vol. 7; no. 5; p. e33788 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
07.05.2012
Public Library of Science (PLoS) |
Subjects | |
Online Access | Get full text |
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Summary: | To improve cancer therapy, it is critical to target metastasizing cells. Circulating tumor cells (CTCs) are rare cells found in the blood of patients with solid tumors and may play a key role in cancer dissemination. Uncovering CTC phenotypes offers a potential avenue to inform treatment. However, CTC transcriptional profiling is limited by leukocyte contamination; an approach to surmount this problem is single cell analysis. Here we demonstrate feasibility of performing high dimensional single CTC profiling, providing early insight into CTC heterogeneity and allowing comparisons to breast cancer cell lines widely used for drug discovery.
We purified CTCs using the MagSweeper, an immunomagnetic enrichment device that isolates live tumor cells from unfractionated blood. CTCs that met stringent criteria for further analysis were obtained from 70% (14/20) of primary and 70% (21/30) of metastatic breast cancer patients; none were captured from patients with non-epithelial cancer (n = 20) or healthy subjects (n = 25). Microfluidic-based single cell transcriptional profiling of 87 cancer-associated and reference genes showed heterogeneity among individual CTCs, separating them into two major subgroups, based on 31 highly expressed genes. In contrast, single cells from seven breast cancer cell lines were tightly clustered together by sample ID and ER status. CTC profiles were distinct from those of cancer cell lines, questioning the suitability of such lines for drug discovery efforts for late stage cancer therapy.
For the first time, we directly measured high dimensional gene expression in individual CTCs without the common practice of pooling such cells. Elevated transcript levels of genes associated with metastasis NPTN, S100A4, S100A9, and with epithelial mesenchymal transition: VIM, TGFß1, ZEB2, FOXC1, CXCR4, were striking compared to cell lines. Our findings demonstrate that profiling CTCs on a cell-by-cell basis is possible and may facilitate the application of 'liquid biopsies' to better model drug discovery. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Conceived and designed the experiments: SSJ AAP AHT HZ SHD MNM SRQ RFP RWD. Performed the experiments: AAP HZ GD. Analyzed the data: MAC AR GB HZ SSJ SHD. Contributed reagents/materials/analysis tools: MLT RHA RWC JAM SS AWK JMF FES SRQ. Wrote the paper: SSJ SHD AAP AHT MNM HZ. Invented the MagSweeper: AHT AAP MNM RFP RWD SSJ. Optimized MagSweeper configuration and performance: AAP AHT. Current address: Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, California, United States of America Current address: Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, United States of America Current address: Cancer Research Institute, College of Medicine, Xiangfan University, Xiangyang, Hubei, China Current address: Department of Diagnostic Research, Illumina, Inc., Hayward, California, United States of America |
ISSN: | 1932-6203 1932-6203 |
DOI: | 10.1371/journal.pone.0033788 |