Identification of DNA Repair-related Genes as Biomarkers Reflecting MSI, TMB, and TIL in Colorectal Cancer

Junya Fukuda1, Tomoya Sudo2, Maako Kikuchi3

  • 1Department of Surgery, Kurume University School of Medicine, Kurume, Japan; fukuda_junya@kurume-u.ac.jp.

Anticancer Research
|July 26, 2024
PubMed
Abstract

Insights

Biomarkers for immune checkpoint inhibitors (ICI) in colorectal cancer (CRC) with proficient mismatch repair (pMMR) are lacking. Six DNA repair genes (ATR, LIG4, RAD52, GADD45B, SMUG1, XRCC6) show decreased expression and may predict ICI benefit in pMMR CRC.

Area of Science:

  • Oncology
  • Immunology
  • Genetics

Background:

  • No established biomarkers exist for immune checkpoint inhibitor (ICI) efficacy in microsatellite stable (MSS) or proficient mismatch repair (pMMR) colorectal cancer (CRC).
  • Identifying predictive biomarkers is crucial for optimizing ICI treatment in this patient population.

Purpose of the Study:

  • To identify novel biomarkers for ICI benefit in pMMR CRC.
  • To analyze down-regulated DNA repair-related genes associated with high immunogenicity and immune responses.

Main Methods:

  • Evaluated mismatch repair (MMR), tumor-infiltrating lymphocytes (TIL), and tumor mutation burden (TMB) in 13 CRC cases.
  • Measured mRNA expression of 95 DNA repair genes, identifying those with reduced expression in high immunogenicity/immune response groups.
  • Analyzed expression of six identified genes in 135 pMMR CRC patients using hierarchical cluster analysis.

Main Results:

  • ATR, LIG4, RAD52 mRNA levels were significantly down-regulated in the high immunogenicity group.
  • GADD45B, SMUG1, XRCC6 mRNA levels were significantly down-regulated in the high immune response group.
  • A cluster with reduced expression of these six genes comprised pMMR cases and showed higher CD8 mRNA expression.

Conclusions:

  • Decreased mRNA expression of ATR, LIG4, RAD52, GADD45B, SMUG1, and XRCC6 is linked to high cytotoxic T cell and TMB levels.
  • These six genes may serve as predictive biomarkers for ICI efficacy in pMMR CRC patients.