Secondary resistance to anti-EGFR therapy by transcriptional reprogramming in patient-derived colorectal cancer

Deepak Vangala1,2, Swetlana Ladigan1,2, Sven T Liffers3,4

  • 1Department of Molecular GI Oncology, Faculty of Medicine, Ruhr University Bochum, 44780, Bochum, Germany.

Genome Medicine
|July 17, 2021
PubMed
Abstract

Insights

Secondary resistance (SR) in metastatic colorectal cancer (mCRC) treated with anti-epidermal growth factor receptor (anti-EGFR) antibodies is often driven by transcriptional reprogramming, not just gene mutations. Patient-derived xenograft models reveal novel SR pathways, enabling targeted therapy development.

Area of Science:

  • Oncology
  • Molecular Biology
  • Cancer Research

Background:

  • Secondary resistance (SR) to anti-epidermal growth factor receptor (anti-EGFR) therapies in metastatic colorectal cancer (mCRC) presents a significant clinical challenge.
  • The precise molecular mechanisms underlying SR development remain incompletely understood, hindering the design of effective treatment strategies.

Purpose of the Study:

  • To investigate the molecular mechanisms of anti-EGFR SR in mCRC using patient-derived xenograft (PDX) models.
  • To dissect the molecular basis of SR through in vivo selection and multi-omics analysis.
  • To identify novel therapeutic targets for overcoming anti-EGFR resistance.

Main Methods:

  • Analysis of 21 wildtype CRC PDX models for anti-EGFR sensitivity.
  • Generation of 31 anti-EGFR SR tumors through chronic in vivo cetuximab treatment.
  • Multi-omics profiling (genomics, transcriptomics) and gene set enrichment analysis to identify SR pathways.
  • Validation of identified SR pathways through targeted therapy in SR PDX models.

Main Results:

  • Efficient establishment of in vivo anti-EGFR SR in CRC PDX models.
  • Demonstration of parallel evolution of SR with independent molecular mechanisms, with gene mutations explaining SR in only a subset of models.
  • Identification of transcriptional reprogramming as a common SR mechanism, frequently activating RAS signaling.
  • Discovery of novel SR mechanisms including cAMP and STAT3 signaling activation, and growth factor-mediated paracrine/autocrine signaling.
  • Successful targeted therapy of SR xenografts by addressing identified transcriptional changes.

Conclusions:

  • SR PDX models offer a valuable platform for studying SR mechanisms and testing novel therapeutic strategies in a preclinical setting.
  • Transcriptional reprogramming is a prevalent mechanism driving anti-EGFR SR in CRC, potentially more common than previously recognized.
  • Multi-omics analysis of SR tumor tissues is crucial for a comprehensive understanding of anti-EGFR resistance in CRC, guiding the development of more effective treatments.