Identifying distinct prognostic and predictive contributions of tumor epithelium versus tumor microenvironment in colorectal cancer

  • 0Department of Surgery, University of South Florida, 560 Channelside Drive, Tampa, FL, 33602, USA. mingliyang@usf.edu.

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Summary

This summary is machine-generated.

New 10-gene signatures, EPI<sup>S</sup> and TME<sup>S</sup>, distinguish tumor epithelium and microenvironment contributions to colorectal cancer prognosis and treatment response, aiding therapy optimization.

Area Of Science

  • Oncology
  • Genomics
  • Cancer Biology

Background

  • Tumor progression and treatment response involve both tumor epithelium (EPI) and the tumor microenvironment (TME).
  • The distinct contributions of EPI versus TME to clinical outcomes in colorectal cancer (CRC) remain poorly defined and quantified.

Purpose Of The Study

  • To develop and validate novel gene signatures that can differentiate the cellular contributions of the tumor EPI and TME.
  • To assess the prognostic and predictive value of these signatures in colorectal cancer.

Main Methods

  • Classified 2373 CRC tumors into consensus molecular subtypes (CMS1-4).
  • Generated 10-gene TME<sup>S</sup> and EPI<sup>S</sup> signatures derived from a previously identified prognostic gene signature.
  • Utilized CIBERSORT deconvolution and scRNASEQ for cellular feature identification and validation.

Main Results

  • TME<sup>S</sup> signature associated with immune/stromal-rich, poor-prognosis CMS1/CMS4 subtypes and cancer-associated fibroblasts.
  • EPI<sup>S</sup> signature linked to epithelial-rich, better-prognosis CMS2/CMS3 subtypes.
  • EPI<sup>S</sup> scores correlated with improved progression-free survival in cetuximab-treated CRC patients and overall survival in EGFR inhibitor-treated patients.

Conclusions

  • Identified distinct 10-gene EPI<sup>S</sup> and TME<sup>S</sup> signatures for differentiating tumor EPI and TME contributions to CRC outcomes.
  • These signatures may serve as novel biomarkers for optimizing CRC therapy by identifying sensitive and resistant subpopulations.