Multi-Transcriptomic Analysis Reveals That EREG-Driven TME Crosstalk Defines Anti-EGFR Response in Colorectal Cancer

Atsuki Taniguchi1, Shunsuke Kagawa1, Shohei Nogi1

  • 1Department of Gastroenterological Surgery, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.

Cancer Medicine
|April 27, 2026
PubMed

Insights

Tumor microenvironment features, not just sidedness, predict colorectal cancer (CRC) response to EGFR inhibitors (EGFRI). A key EREG/EGFR/CSF axis involving cancer cells, fibroblasts, and macrophages drives EGFRI eligibility.

Area of Science:

  • Oncology
  • Molecular Biology
  • Cancer Research

Background:

  • Tumor sidedness impacts colorectal cancer (CRC) prognosis and EGFR inhibitor (EGFRI) response.
  • The precise mechanisms underlying differential EGFRI sensitivity remain unclear.

Purpose of the Study:

  • To investigate the tumor microenvironment (TME) in relation to EGFRI eligibility in CRC.
  • To identify key cellular interactions and molecular pathways influencing EGFRI response.

Main Methods:

  • Integrated single-cell RNA sequencing (scRNA-seq) for TME analysis.
  • Bulk RNA-seq and spatial transcriptomics for validation.
  • Analysis of cell-cell interactions and pathway activation.

Main Results:

  • Cancer cell features, particularly high Epiregulin (EREG) expression, strongly predicted EGFRI eligibility.
  • Identified an "EREG/EGFR/CSF axis" involving cancer cells, EGFR-expressing CAFs, and TAM/TAMo.
  • Spatial analysis confirmed localized EGFR pathway activation and proximity of interacting cells in eligible tumors.

Conclusions:

  • TME characteristics, specifically the EREG/EGFR/CSF axis, are critical determinants of EGFRI eligibility in CRC.
  • TME-based patient stratification may offer improved precision over sidedness alone for CRC therapy.