Role of metabolic transformation in cancer immunotherapy resistance: molecular mechanisms and therapeutic

Sandesh Shende1, Jaishriram Rathored2, Tanushree Budhbaware1

  • 1Central Research Laboratory and Molecular Diagnostics, School of Allied Health Sciences, Datta Meghe Institute of Higher Education and Research, Sawangi (Meghe), Wardha, 442001, Maharashtra, India.

Discover Oncology
|April 2, 2025
PubMed
Abstract

Insights

Cancer cells

Area of Science:

  • Oncology
  • Cancer Immunology
  • Metabolic Pathways

Background:

  • Immunotherapy, including immune inhibitors, shows promise in various cancers.
  • Treatment resistance remains a significant challenge, often driven by metabolic alterations in the tumor microenvironment.
  • Understanding these metabolic changes is crucial for developing novel therapeutic strategies.

Purpose of the Study:

  • To review the molecular mechanisms linking metabolic reprogramming to cancer immunotherapy resistance.
  • To explore therapeutic approaches targeting metabolic pathways to overcome resistance and enhance immunotherapy efficacy.

Main Methods:

  • Comprehensive literature review of PubMed, Scopus, and Web of Science databases.
  • Focus on tumor microenvironment, immunotherapy resistance, and cancer metabolism.
  • Analysis of key metabolic pathways including glycolysis, lipid, amino acid metabolism, and oxidative phosphorylation.

Main Results:

  • Metabolic reprogramming creates an immunosuppressive tumor microenvironment (e.g., Warburg effect, dysregulated lipid metabolism, glutaminolysis).
  • Accumulation of metabolites like lactate suppresses immune responses and impairs T cell function.
  • Alterations in arginine and tryptophan metabolism disrupt immune cell function, contributing to resistance against immune checkpoint inhibitors.

Conclusions:

  • Metabolic reprogramming is a critical factor in cancer immunotherapy resistance.
  • Targeting metabolic pathways offers a promising strategy to improve immunotherapy effectiveness.
  • Future research should prioritize patient-specific metabolic profiling for precise therapeutic interventions.

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