The frequency of EGFR and KRAS mutations in non-small cell lung cancer (NSCLC): routine screening data for central

Christian Boch1, Jens Kollmeier, Andreas Roth

  • 1Klinik für Pneumologie, Lungenklinik Heckeshorn, HELIOS Klinikum Emil von Behring, Berlin, Berlin, Germany.

BMJ Open
|April 6, 2013
PubMed
Abstract

Insights

This study found lower frequencies of epidermal growth factor receptor (EGFR) and KRAS mutations in an unselected non-small cell lung carcinoma (NSCLC) patient cohort. These findings suggest clinical trials may overestimate mutation rates due to selection bias.

Area of Science:

  • Oncology
  • Molecular Diagnostics
  • Genetics

Background:

  • Molecular analysis of EGFR and KRAS mutations is crucial for targeted therapies in non-small cell lung carcinoma (NSCLC).
  • Existing data on mutation frequencies are often derived from pre-selected patient populations in clinical trials.
  • Screening an 'allcomers' cohort provides a more accurate representation of mutation prevalence in routine diagnostics.

Purpose of the Study:

  • To determine the frequencies of EGFR and KRAS mutations in an unselected cohort of newly diagnosed NSCLC patients.
  • To compare mutation frequencies in an unselected population with those reported in clinical trials.
  • To identify potential selection biases in current NSCLC trial data.

Main Methods:

  • A cohort study was conducted at a tertiary care hospital over 15 months.
  • 552 eligible NSCLC cases were analyzed for mutations in EGFR (exons 18, 19, 21) and KRAS (codons 12, 13).
  • Patient demographics, histology, and smoking status were recorded.

Main Results:

  • EGFR mutations were found in 4.9% of patients, with common alterations in codons 19 and 21.
  • KRAS mutations were present in 15% of cases, predominantly in codon 12.
  • Adenocarcinoma histology showed significantly higher frequencies for both EGFR and KRAS mutations compared to non-adenocarcinoma types.

Conclusions:

  • The frequency of EGFR and KRAS mutations in this unselected Caucasian NSCLC cohort is lower than previously reported.
  • Clinical trials may overestimate EGFR and KRAS mutation frequencies in NSCLC due to inherent selection biases.
  • These findings highlight the importance of analyzing unselected 'allcomers' populations for accurate molecular profiling in NSCLC.