Changes in colorectal carcinoma genomes under anti-EGFR therapy identified by whole-genome plasma DNA sequencing

Sumitra Mohan1, Ellen Heitzer1, Peter Ulz1

  • 1Institute of Human Genetics, Medical University of Graz, Graz, Austria.

Plos Genetics
|March 29, 2014
PubMed

Insights

Acquired KRAS gene gains, not mutations, drive resistance to Epidermal Growth Factor Receptor (EGFR) therapies in metastatic colorectal cancer (CRC). Plasma sequencing (plasma-Seq) detects these changes, aiding early therapy adjustments to prevent disease progression.

Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • Monoclonal antibodies targeting the Epidermal Growth Factor Receptor (EGFR) are crucial for metastatic colorectal cancer (CRC) treatment.
  • Resistance to anti-EGFR therapies is common, yet mechanisms and timing remain poorly understood.

Purpose of the Study:

  • To investigate the mechanisms and timing of resistance evolution in patients with metastatic colorectal cancer treated with anti-EGFR therapy.
  • To identify novel biomarkers predictive of anti-EGFR therapy efficacy and resistance.

Main Methods:

  • Whole genome sequencing (plasma-Seq) and ultra-sensitive deep sequencing of resistance-associated genes (KRAS, BRAF, PIK3CA, EGFR) were performed on plasma DNA from ten CRC patients.
  • Analysis focused on identifying genetic alterations associated with acquired resistance to anti-EGFR therapies.

Main Results:

  • Acquired KRAS gains (focal amplifications or 12p polysomy) were observed in 40% of patients, associated with resistance.
  • Focal amplifications of MET (2 patients) and ERBB2 (1 patient) were also identified as resistance mechanisms.
  • EGFR gene overrepresentation correlated with initial treatment efficacy, and predictive biomarkers were identified in 70% of patients.
  • No novel acquired mutations in KRAS, BRAF, PIK3CA, or EGFR were detected by deep sequencing.

Conclusions:

  • Acquired KRAS gains, rather than mutations, are a significant mechanism of resistance to anti-EGFR therapy in CRC.
  • Plasma-Seq is a powerful tool for detecting novel resistance mechanisms and identifying predictive biomarkers.
  • Early detection of resistance mechanisms via plasma-Seq can facilitate timely therapeutic adjustments to improve patient outcomes.