A meta-analysis of biomarkers for the prognosis of triple-negative breast cancer patients

Biomark Med. 2016 Jul;10(7):771-90. doi: 10.2217/bmm-2015-0064. Epub 2016 Jun 24.

Abstract

Identification of biomarkers that has the ability to predict triple-negative breast cancer (TNBC) prognosis especially in patients undergoing chemotherapy is very important.

Methods: The cohort studies that reported association between chemotherapy biomarker expression and survival outcome in TNBC patients were included in our analysis.

Results: The promising markers that emerged for the prediction of disease-free survival and overall survival included Ki67, BRCA1 methylation and LC3B. Furthermore, Ki67 appeared to be also significantly associated with worse disease-free survival in TNBC patients who received anthracycline-based chemotherapy.

Conclusion: This meta-analysis demonstrated that in TNBC patients receiving chemotherapy, Ki67 is a predictor for poor prognosis, BRCA1 methylation and LC3B are also potential prognostic markers. In addition, the TNBC patients with high Ki67 expression seems to display resistance to anthracycline-based chemotherapy.

Keywords: biomarkers; chemotherapy; meta-analysis; prognosis; triple-negative breast cancer.

Publication types

  • Meta-Analysis
  • Review

MeSH terms

  • Anthracyclines / therapeutic use
  • BRCA1 Protein / metabolism
  • Biomarkers, Tumor / metabolism*
  • Databases, Factual
  • Disease-Free Survival
  • Female
  • Humans
  • Ki-67 Antigen / metabolism
  • Microtubule-Associated Proteins / metabolism
  • Proportional Hazards Models
  • Survival Rate
  • Triple Negative Breast Neoplasms / diagnosis*
  • Triple Negative Breast Neoplasms / drug therapy
  • Triple Negative Breast Neoplasms / mortality

Substances

  • Anthracyclines
  • BRCA1 Protein
  • BRCA1 protein, human
  • Biomarkers, Tumor
  • Ki-67 Antigen
  • MAP1LC3B protein, human
  • Microtubule-Associated Proteins