Molecular correlates of immune cytolytic subgroups in colorectal cancer by integrated genomics analysis

Constantinos Roufas1, Ilias Georgakopoulos-Soares2, Apostolos Zaravinos3

  • 1Department of Life Sciences, School of Sciences, European University Cyprus, 1516 Nicosia, Cyprus.

NAR Cancer
|July 28, 2021
PubMed

Insights

Immune cytolytic activity (CYT) levels in colorectal cancer (CRC) tumors correlate with distinct genomic patterns, including chromothripsis and kataegis. Understanding these patterns may predict patient response to immune checkpoint inhibition (ICI) therapies.

Area of Science:

  • Oncology
  • Immunology
  • Genomics

Background:

  • Immune checkpoint inhibition (ICI) shows efficacy in metastatic mismatch repair deficient/microsatellite high (dMMR/MSI-H) colorectal cancer (CRC).
  • However, most proficient mismatch repair/microsatellite stable (pMMR/MSS) CRC patients do not respond to ICI.
  • Identifying determinants of immune response is crucial for improving CRC treatment strategies.

Purpose of the Study:

  • To investigate the relationship between immune cytolytic activity (CYT) levels and genomic features like chromothripsis and kataegis in CRC.
  • To explore how these genomic patterns and tumor immune microenvironment composition influence patient responsiveness to ICI.

Main Methods:

  • Analysis of The Cancer Genome Atlas (TCGA) CRC genomic data.
  • Assessment of chromothripsis, kataegis events, mutational signatures, and immune cell composition across different CYT levels.
  • Evaluation of immunophenoscores as predictors of ICI response.

Main Results:

  • CYT-low colon adenocarcinomas showed excess chromothripsis affecting cancer drivers and immune-related genes.
  • CYT-high tumors exhibited hypermutation, APOBEC-associated mutations, kataegis, and distinct mutational signatures.
  • CYT-high tumors had enriched M1 macrophages, CD8+ T cells, and Tregs, with a higher CD8+/Treg ratio.
  • Higher immunophenoscores in CYT-high patients predicted better response to anti-PD-1 and anti-CTLA-4 therapies.

Conclusions:

  • Tumor cytolytic activity levels are associated with specific genomic alterations and immune microenvironment profiles in CRC.
  • These findings highlight potential biomarkers for predicting patient response to immune checkpoint inhibitors.
  • Stratifying CRC patients based on CYT levels and associated genomic features may optimize ICI treatment selection.

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