Predictive molecular classifiers in colorectal cancer

Semin Oncol. 2011 Aug;38(4):576-87. doi: 10.1053/j.seminoncol.2011.05.012.

Abstract

The introduction of predictive molecular markers has radically enhanced the identification of which patients may benefit from a given treatment. Despite recent controversies, KRAS mutation is currently the most recognized molecular predictive marker in colorectal cancer (CRC), predicting efficacy of anti-epidermal growth factor receptor (anti-EGFR) antibodies. However, other relevant markers have been reported and claimed to identify patients that will benefit from anti-EGFR therapies. This group of markers includes BRAF mutations, PI3KCA mutations, and loss of PTEN expression. Similarly, molecular markers for cytotoxic agents' efficacy also may predict outcome in patients with CRC. This review aims to summarize the most important predictive molecular classifiers in patients with CRC and further discuss any inconsistent or conflicting findings for these molecular classifiers.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • Biomarkers, Pharmacological / analysis
  • Biomarkers, Pharmacological / metabolism
  • Biomarkers, Tumor / analysis
  • Biomarkers, Tumor / genetics*
  • Biomarkers, Tumor / physiology
  • Carcinoma / classification
  • Carcinoma / diagnosis*
  • Carcinoma / genetics*
  • Colorectal Neoplasms / classification
  • Colorectal Neoplasms / diagnosis*
  • Colorectal Neoplasms / genetics*
  • Genes, erbB-1
  • Humans
  • Models, Biological
  • Molecular Targeted Therapy
  • Prognosis

Substances

  • Biomarkers, Pharmacological
  • Biomarkers, Tumor