Power in numbers: meta-analysis to identify inhibitor-sensitive tumor genotypes

Clin Cancer Res. 2013 Apr 1;19(7):1634-6. doi: 10.1158/1078-0432.CCR-13-0169. Epub 2013 Feb 12.

Abstract

Widespread tumor genotyping has increased the complexity of lung cancer care, often identifying mutations of uncertain clinical significance. In the accompanying article, the authors carried out a meta-analysis of the published literature on EGF receptor (EGFR) genotype and erlotinib/gefitinib sensitivity to develop a publicly accessible database to inform patient care.

Publication types

  • Research Support, N.I.H., Extramural
  • Comment

MeSH terms

  • Carcinoma, Non-Small-Cell Lung / drug therapy*
  • Carcinoma, Non-Small-Cell Lung / genetics*
  • ErbB Receptors / genetics*
  • Female
  • Humans
  • Lung Neoplasms / drug therapy*
  • Lung Neoplasms / genetics*
  • Male
  • Mutation*
  • Protein Kinase Inhibitors / therapeutic use*

Substances

  • Protein Kinase Inhibitors
  • ErbB Receptors