Transcriptional determinants of cancer immunotherapy response and resistance

Romi Gupta1, Amitkumar Mehta2, Narendra Wajapeyee1

  • 1Department of Biochemistry and Molecular Genetics, University of Alabama at Birmingham, Birmingham, AL 35233, USA; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL 35233, USA.

Trends in Cancer
|February 7, 2022
PubMed

Insights

Cancer cells evade immune defenses, leading to the development of immunotherapies. This study explores transcriptional mechanisms of immunotherapy response and resistance, suggesting interventions to improve cancer treatment outcomes.

Area of Science:

  • Immunology
  • Cancer Biology
  • Molecular Biology

Background:

  • The host immune system is crucial for preventing cancer development and progression.
  • Cancer cells evolve immune evasion strategies to survive.
  • Immunotherapies have emerged as a significant cancer treatment modality.

Purpose of the Study:

  • To provide an overview of transcriptional mechanisms underlying response and resistance to cancer immunotherapies.
  • To discuss potential interventions targeting transcriptional networks to enhance immunotherapy efficacy.

Main Methods:

  • Literature review and synthesis of existing research on cancer immunology and transcriptional regulation.
  • Analysis of transcriptional mechanisms driving immunotherapy response and resistance.
  • Exploration of therapeutic strategies based on targeting transcriptional networks.

Main Results:

  • Cancer immune evasion is a critical factor in treatment failure.
  • Transcriptional networks play a key role in mediating both response and resistance to immunotherapies.
  • Dysregulated transcriptional networks in cancer cells present therapeutic targets.

Conclusions:

  • Understanding transcriptional mechanisms is vital for improving cancer immunotherapy outcomes.
  • Targeting specific transcriptional networks offers a promising strategy to overcome immunotherapy resistance.
  • Further research into these mechanisms could lead to more effective cancer treatments.

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