Prognostic and Predictive Biomarkers in Patients with Metastatic Colorectal Cancer Receiving Regorafenib

Yingmiao Liu1, Jing Lyu2, Kirsten Bell Burdett2

  • 1Department of Medicine, Duke University Medical Center, Durham, North Carolina.

Insights

This study identified protein biomarkers in metastatic colorectal cancer (mCRC) patients treated with regorafenib. VCAM-1 may predict treatment benefit, while other markers indicate patient outcomes.

Area of Science:

  • Oncology
  • Translational Research
  • Biomarker Discovery

Background:

  • Regorafenib is an FDA-approved tyrosine kinase inhibitor for chemotherapy-refractory metastatic colorectal cancer (mCRC).
  • Understanding biomarkers can optimize treatment selection and predict patient outcomes in mCRC.

Purpose of the Study:

  • To investigate the prognostic and predictive value of soluble protein biomarkers in patients with mCRC receiving regorafenib.
  • To identify potential pharmacodynamic effects of regorafenib on biomarker levels.

Main Methods:

  • A panel of 20 soluble protein biomarkers (Angiome) was analyzed in plasma from 149 patients in a phase II trial (LCCC1029).
  • Baseline biomarker levels were assessed for prognostic value for progression-free survival (PFS) and overall survival (OS).
  • Biomarker changes during treatment were evaluated for pharmacodynamic effects, with validation in an Italian cohort.

Main Results:

  • Six markers were prognostic for PFS, and nine were prognostic for OS.
  • Higher baseline levels of OPN, VCAM-1, and PDGF-AA predicted PFS benefit from regorafenib.
  • VCAM-1 also showed potential for predicting OS benefit from regorafenib.
  • On-treatment biomarker changes suggested on-target effects of regorafenib.

Conclusions:

  • VCAM-1 may serve as a predictive biomarker for regorafenib efficacy in mCRC.
  • Multiple protein biomarkers show prognostic value for patient outcomes in mCRC.
  • These findings support the use of biomarker analysis to personalize mCRC treatment strategies.