Immune Checkpoint Inhibitors: efficacy, safety, and biomarkers - a systematic review

Hebatalla Ismail1, Anees Hassan2

  • 1Medical Oncology, St. Vincent's University Hospital, UCD Cancer Centre, Dublin, Ireland.

Insights

Immune checkpoint inhibitors (ICIs) like PD-1/PD-L1 and CTLA-4 inhibitors improve cancer survival but cause immune-related adverse events. High tumor mutational burden and PD-L1 expression predict response, but not toxicity.

Area of Science:

  • Oncology
  • Immunology
  • Pharmacology

Background:

  • Immune checkpoint inhibitors (ICIs), including PD-1/PD-L1 and CTLA-4 inhibitors, are crucial in cancer therapy.
  • These agents enhance progression-free survival (PFS) and overall survival (OS) across various cancers.
  • However, ICIs are linked to immune-related adverse events (irAEs) affecting multiple organ systems.

Purpose of the Study:

  • To systematically review the safety and efficacy of ICIs.
  • To analyze clinical outcomes such as OS, PFS, objective response rate (ORR), and irAEs.
  • To evaluate combination strategies involving ICIs.

Main Methods:

  • Systematic review of 15 randomized controlled trials and cohort studies.
  • Analysis focused on primary clinical outcomes: OS, PFS, ORR, and irAEs.
  • Assessment of biomarkers (PD-L1 expression, tumor mutational burden) for predicting response and toxicity.

Main Results:

  • ICIs demonstrate durable antitumor activity, particularly in patients with high tumor mutational burden (TMB) and PD-L1 expression.
  • Significant toxicities associated with ICIs necessitate immunosuppressive management in some cases.
  • Combination therapies (dual blockade, ICI plus chemotherapy) show improved outcomes but increased toxicity compared to monotherapy.

Conclusions:

  • While ICIs offer significant survival benefits, managing irAEs remains a challenge.
  • PD-L1 expression and TMB are predictive of ICI response but not consistently of irAEs.
  • Future research should prioritize refining patient selection, optimizing toxicity management, and discovering novel predictive biomarkers for enhanced ICI therapy benefit-risk ratios.

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