DNA Mutational Profiling in Patients With Colorectal Cancer Treated With Standard of Care Reveals Differences in

Federico Innocenti1,2, Wancen Mu3, Xueping Qu4

  • 1Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC.

Abstract

Insights

Novel gene mutations in metastatic colorectal cancer (mCRC) impact patient survival and response to bevacizumab or cetuximab. Identifying these biomarkers can improve treatment strategies and clinical trial design for diverse patient groups.

Area of Science:

  • Oncology
  • Genetics
  • Clinical Trials

Background:

  • Metastatic colorectal cancer (mCRC) treatment involves chemotherapy combined with biologics like bevacizumab or cetuximab.
  • Identifying genetic markers can personalize treatment and improve outcomes for mCRC patients.

Purpose of the Study:

  • To discover novel mutated genes linked to prognosis in mCRC.
  • To identify genes associated with differential treatment responses to bevacizumab and cetuximab in first-line mCRC.

Main Methods:

  • Whole exome sequencing of primary tumor DNA from 548 mCRC patients in the CALGB (Alliance)/SWOG 80405 trial.
  • Statistical analysis to correlate gene mutations with overall survival (OS), adjusting for known prognostic factors like microsatellite instability and RAS/BRAF mutations.

Main Results:

  • Microsatellite instability-high tumors exhibited a higher median number of mutated genes (12.5) compared to microsatellite-stable tumors (5).
  • Mutations in KRAS and APC were more prevalent in Black patients, while BRAF V600E was less common.
  • Mutated LRP1B was associated with improved OS (HR, 0.57). RNF43 mutations showed differential impact on OS depending on the treatment arm (cetuximab vs. bevacizumab).

Conclusions:

  • Identified molecular alterations in mCRC can serve as predictive biomarkers for patient outcomes.
  • These findings may enhance therapeutic decision-making and guide future biomarker-driven clinical trials, particularly for underrepresented patient populations.