Genomic analyses to select patients for adjuvant chemotherapy: trials and tribulations

Ann Oncol. 2012 Sep:23 Suppl 10:x211-8. doi: 10.1093/annonc/mds323.

Abstract

Despite improvements in adjuvant chemotherapy regimens in breast cancer, personalised use of specific cytotoxic regimens remains a clinical challenge. Defining the correct therapeutic strategy for individual patients with breast cancer based on the genomic and transcriptomic characteristics of the tumour and the patient remains an area of unmet clinical need. Despite the promise of microarray-based predictors of response to chemotherapy, clinical decisions are still guided by a limited constellation of biomarkers. In this review we will address current genomic and transcriptomic approaches to the stratification of adjuvant therapies in breast cancer, the reasons for the limited success in the incorporation of novel multi-gene predictors of response to chemotherapy in clinical practice and focus on new approaches that aim to understand the clonal evolution of the disease. The polygenic nature of drug resistance, and inter- and intra-tumour heterogeneity are considered as important research areas, given that they may constitute important challenges for the development of chemotherapy-specific response predictors.

Publication types

  • Congress
  • Overall

MeSH terms

  • Biomarkers, Pharmacological*
  • Breast Neoplasms* / drug therapy
  • Breast Neoplasms* / genetics
  • Cell Proliferation
  • Chemotherapy, Adjuvant*
  • Clinical Trials as Topic
  • Drug Resistance, Neoplasm
  • Female
  • Gene Expression Regulation, Neoplastic
  • Genome, Human
  • Humans
  • Pathology, Molecular*
  • Prognosis
  • Receptor, ErbB-2 / genetics
  • Receptor, ErbB-2 / metabolism
  • Receptors, Estrogen / genetics
  • Receptors, Estrogen / metabolism
  • Selection, Genetic

Substances

  • Biomarkers, Pharmacological
  • Receptors, Estrogen
  • ERBB2 protein, human
  • Receptor, ErbB-2