Host Determinants of Immune Checkpoint Inhibitor Efficacy: Immune, Genetic, Metabolic, and Lifestyle Factors

Ali Awada1, Nicole Charbel1, Sary Faraj1

  • 1Division of Hematology and Oncology, Department of Internal Medicine, American University of Beirut, Beirut P.O. Box 11-0236, Lebanon.

Insights

Host factors significantly influence cancer immunotherapy effectiveness, impacting patient responses to immune checkpoint inhibitors (ICIs). Understanding these determinants is key to personalizing cancer treatment strategies.

Area of Science:

  • Oncology
  • Immunology
  • Genetics

Background:

  • Immune checkpoint inhibitors (ICIs) have transformed cancer therapy but show variable patient responses.
  • Tumor-intrinsic factors like PD-L1 expression and tumor mutational burden partially explain response variability.
  • Host-related factors are increasingly recognized as critical modulators of ICI efficacy.

Purpose of the Study:

  • To provide a comprehensive review of host factors influencing ICI efficacy.
  • To explore how diverse host determinants impact antitumor immune responses.
  • To highlight the potential for integrating host factors in personalized immunotherapy.

Main Methods:

  • Literature review of host determinants affecting ICI treatment.
  • Analysis of immune competence, T-cell repertoire, and cytokine profiles.
  • Examination of genetic, epigenetic, microbiome, metabolic, and lifestyle influences.

Main Results:

  • Host factors such as immune competence, T-cell diversity, and cytokine profiles play a significant role.
  • Germline genetics, HLA genotype, and epigenetic regulation impact immune responses to ICIs.
  • Gut microbiome, metabolic status, obesity, nutrition, lifestyle, co-medications, and comorbidities also affect treatment outcomes.

Conclusions:

  • Host-related factors are crucial for understanding and predicting ICI response variability.
  • Integrating diverse host determinants can improve patient stratification for immunotherapy.
  • Personalized immunotherapy strategies can be developed by considering individual host profiles.

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