Decoding functional impact of epigenetic regulator mutations on ligand-receptor interaction perturbations for

Aiai Shi1,2,3, Chaohuan Lin1,4, Jie Lyu1,3,5

  • 1Joint Centre of Translational Medicine, Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang, People's Republic of China.

Insights

Epigenetic regulators (ERs) mutations disrupt cancer cell communication, impacting immunotherapy effectiveness. Our MERIN approach identifies ER mutations linked to ligand-receptor interactions, aiding patient stratification for cancer treatment.

Area of Science:

  • Oncology
  • Immunology
  • Genomics
  • Bioinformatics

Background:

  • Tumor microenvironments are complex due to cellular crosstalk, influencing immunotherapy outcomes.
  • Epigenetic regulators (ERs) impact immune gene expression and anti-tumor responses.
  • The role of ER mutations in ligand-receptor interactions within the tumor microenvironment is largely unknown.

Purpose of the Study:

  • To develop a method for inferring the functional consequences of ER mutations on ligand-receptor interactions.
  • To analyze the impact of ER mutations on ligand-receptor interactions across various cancers.
  • To assess the potential of ER mutations in predicting immunotherapy response.

Main Methods:

  • Proposed MERIN (Mutations of ERs in Perturbed Interactions), a molecular network-based approach.
  • Integrated multi-omics data, including cancer genomic profiles and molecular interaction data.
  • Analyzed ER mutation consequences on ligand-receptor interactions across 33 cancer types.

Main Results:

  • Identified dysregulated ligand-receptor genes enriched in cancer and immune functions.
  • Demonstrated that ER mutations, particularly those related to PD1-PDL1 interactions, can stratify cancer patients.
  • Observed distinct immunological characteristics and prognoses in patients with ER mutations.

Conclusions:

  • MERIN effectively decodes functional consequences of ER mutations on ligand-receptor interactions.
  • ER mutations play a significant role in modulating cancer immune response.
  • ER mutations show potential for predicting immunotherapy clinical outcomes and aiding patient stratification.

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