Targeting Metabolic Vulnerabilities to Combat Drug Resistance in Cancer Therapy

Taranatee Khan1, Manojavan Nagarajan1,2, Irene Kang1,3

  • 1Department of Veterans Affairs, Miami VA Healthcare System, Miami, FL 33125, USA.

PubMed

Insights

Targeting cancer cell metabolism can overcome drug resistance and immune evasion. Combining metabolic inhibitors with immune checkpoint inhibitors offers a promising strategy for improved cancer therapy outcomes.

Area of Science:

  • Oncology
  • Cancer Metabolism
  • Immunotherapy

Background:

  • Drug resistance is a major challenge in cancer therapy.
  • Cancer cells adapt metabolism (e.g., oxidative phosphorylation, glutamine reliance) to survive and evade immune responses.
  • Metabolic reprogramming contributes to immune evasion via ROS generation and PD-L1 upregulation.

Purpose of the Study:

  • To review targeting metabolic vulnerabilities in drug-resistant cancers.
  • To explore combining metabolic inhibitors with immune checkpoint inhibitors (ICIs).
  • To discuss overcoming metabolic and immune evasion mechanisms in cancer.

Main Methods:

  • Review of key metabolic pathways in drug resistance (glycolysis, glutamine metabolism, kynurenine pathway).
  • Analysis of combining metabolic inhibitors with immune checkpoint inhibitors (ICIs), specifically anti-PD-1/PD-L1 therapies.
  • Examination of early clinical trial data for combined metabolic and immune therapies.

Main Results:

  • Metabolic adaptations are crucial for cancer cell survival and immune evasion.
  • Combined metabolic and immune therapies show early promise in clinical trials.
  • Further research is needed to optimize treatment combinations and identify patient biomarkers.

Conclusions:

  • Targeting cancer metabolism alongside immune checkpoint blockade presents a novel therapeutic strategy.
  • This combined approach may overcome drug resistance and immune evasion, improving patient outcomes.
  • Future directions include personalized treatments based on tumor metabolic profiles and broader application across tumor types.

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