4.5 Article

Expression profiling of circulating tumor cells in metastatic breast cancer

Journal

BREAST CANCER RESEARCH AND TREATMENT
Volume 149, Issue 1, Pages 121-131

Publisher

SPRINGER
DOI: 10.1007/s10549-014-3215-0

Keywords

Circulating tumor cells; Micrometastases; Breast cancer; EpCAM; Gene expression

Categories

Funding

  1. National Cancer Institute (NCI) [U54 CA90788]
  2. Ginny Clements Research Award (University of Arizona)
  3. Better than Ever Award (University of Arizona)
  4. Society of Surgical Oncology Clinical Investigator Award
  5. California Breast Cancer Research Program Idea Award
  6. STOP Cancer Award
  7. National Cancer Institute [P30CA014089]
  8. Southwest Environmental Health Sciences Center [ES006694]

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Circulating tumor cells (CTCs) are prognostic in all stages of breast cancer. However, since they are extremely rare, little is known about the molecular nature of these cells. We report a novel strategy for the isolation and expression profiling of pure populations of CTCs derived from peripheral blood. We developed a method to isolate CTCs based on immunomagnetic capture followed by fluorescence-activated cell sorting (IE/FACS). After assay validation using the BT474 cell line spiked into blood samples in vitro, RNA from CTCs isolated from the blood of five metastatic breast cancer (MBC) patients was linearly amplified and subjected to gene expression profiling via cDNA microarrays. We isolated a range of 9-993 captured CTCs from five MBC patients' blood and profiled their RNA in comparison to a diverse panel of primary breast tumors (n = 55). Unsupervised hierarchical clustering revealed that CTC profiles clustered with more aggressive subtypes of primary breast tumors and were readily distinguishable from peripheral blood (PB) and normal epithelium. Differential expression analysis revealed CTCs to have downregulated apoptosis, and they were distinguishable from PB by the relative absence of immune-related signals. As expected, CTCs from MBC had significantly higher risk of recurrence scores than primary tumors (p = 0.0073). This study demonstrates that it is feasible to isolate CTCs from PB with high purity through IE/FACS and profile them via gene expression analysis. Our approach may inform the discovery of therapeutic predictors and be useful for real-time identification of emerging resistance mechanisms in MBC patients.

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