BR-BCSC Signature: The Cancer Stem Cell Profile Enriched in Brain Metastases that Predicts a Worse Prognosis in Lymph Node-Positive Breast Cancer

Cells. 2020 Nov 9;9(11):2442. doi: 10.3390/cells9112442.

Abstract

Brain metastases remain an unmet clinical need in breast oncology, being frequently found in HER2-overexpressing and triple-negative carcinomas. These tumors were reported to be highly cancer stem-like cell-enriched, suggesting that brain metastases probably arise by the seeding of cancer cells with stem features. Accordingly, we found that brain-tropic breast cancer cells show increased stem cell activity and tumorigenic capacity in the chick embryo choriallantoic membrane when compared to the parental cell line. These observations were supported by a significant increase in their stem cell frequency and by the enrichment for the breast cancer stem cell (BCSC) phenotype CD44+CD24-/low. Based on this data, the expression of BCSC markers (CD44, CD49f, P-cadherin, EpCAM, and ALDH1) was determined and found to be significantly enriched in breast cancer brain metastases when compared to primary tumors. Therefore, a brain (BR)-BCSC signature was defined (3-5 BCSC markers), which showed to be associated with decreased brain metastases-free and overall survival. Interestingly, this signature significantly predicted a worse prognosis in lymph node-positive patients, acting as an independent prognostic factor. Thus, an enrichment of a BCSC signature was found in brain metastases, which can be used as a new prognostic factor in clinically challenging breast cancer patients.

Keywords: breast cancer; cancer stem cells; prognostic factors; stem cell biology.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Biomarkers, Tumor / metabolism
  • Brain Neoplasms / pathology*
  • Breast Neoplasms / pathology*
  • Carcinogenesis / pathology
  • Cell Line, Tumor
  • Chick Embryo
  • Chorioallantoic Membrane / pathology
  • Female
  • Humans
  • Kaplan-Meier Estimate
  • Lymph Nodes / pathology*
  • Mice
  • Multivariate Analysis
  • Neoplastic Stem Cells / pathology*
  • Prognosis
  • Proportional Hazards Models

Substances

  • Biomarkers, Tumor