Effects of Clinicopathological Characteristics on the Survival of Patients Treated with PD-1/PD-L1 Inhibitor

Yuhan Wei1, Yongfu Li1,2, Qi Du1

  • 1Department of Oncology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.

Abstract

Insights

Programmed cell death protein 1 (PD-1)/PD-L1 inhibitors significantly improve overall survival in advanced cancers. Patient characteristics like EGFR status, sex, and smoking status predict treatment benefits, guiding personalized immunotherapy strategies.

Area of Science:

  • Oncology
  • Immunotherapy
  • Clinical Trials

Background:

  • Programmed cell death protein 1 (PD-1)/PD-L1 inhibitors represent a significant advancement in cancer treatment.
  • These immunotherapies harness the patient's immune system to combat malignancies.

Purpose of the Study:

  • To evaluate the efficacy of PD-1/PD-L1 inhibitor monotherapy and combination therapy in cancer treatment.
  • To identify patient subgroups that benefit most from these immunotherapies based on clinical and molecular characteristics.

Main Methods:

  • A systematic review and meta-analysis of randomized controlled trials comparing PD-1/PD-L1 inhibitors with non-immunotherapy treatments.
  • Analysis of hazard ratios (HRs) for overall survival (OS) stratified by patient factors including sex, age, ECOG performance status, smoking history, liver metastasis, PD-L1 expression, EGFR, and KRAS status.

Main Results:

  • Both monotherapy (HR 0.74) and combination therapy (HR 0.64) significantly improved OS.
  • EGFR wild-type status predicted benefit from monotherapy (HR 0.77), while mutant type showed no benefit (HR 1.11).
  • Combination therapy showed greater benefit in females (HR 0.45) and nonsmokers (HR 0.29) compared to males and smokers, respectively.

Conclusions:

  • PD-1/PD-L1 inhibitors, both as monotherapy and in combination, substantially prolong OS in advanced cancers.
  • EGFR status is a key predictor for monotherapy efficacy.
  • Patient sex and smoking status are significant predictors for the effectiveness of combination immunotherapy.

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