Clinical and molecular characteristics associated with the efficacy of PD-1/PD-L1 inhibitors for solid tumors: a

Yi Ming Weng1, Min Peng1, Meng Xue Hu1

  • 1Department of Oncology, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, Hubei, People's Republic of China, qibinsong@163.com.

Oncotargets and Therapy
|November 23, 2018
PubMed

Insights

Programmed cell death 1 (PD-1) or programmed cell death ligand 1 (PD-L1) inhibitors significantly reduce mortality risk in several cancers. PD-L1 positivity, smoking history, and first-line treatment predict better outcomes, while older age and non-smoking status may not benefit.

Area of Science:

  • Oncology
  • Immunotherapy
  • Clinical Trials

Background:

  • Immune checkpoint inhibitors, including PD-1 and PD-L1 inhibitors, have revolutionized cancer treatment.
  • Predicting patient response to these therapies remains a critical challenge.

Purpose of the Study:

  • To conduct a meta-analysis evaluating clinical and molecular factors influencing the efficacy of PD-1/PD-L1 inhibitors.
  • To identify patient subgroups who benefit most from these immunotherapies.

Main Methods:

  • A meta-analysis of 11 eligible studies involving 5,663 patients.
  • Systematic literature search of PubMed and Web of Science for relevant trials.
  • Subgroup analyses based on PD-L1 expression, smoking history, treatment line, age, sex, performance status, tumor histology, and treatment type.

Main Results:

  • PD-1/PD-L1 inhibitors reduced the risk of death by 31% (HR=0.69) across melanoma, NSCLC, urothelial, head and neck, and renal cell carcinomas.
  • Patients with PD-L1-positive tumors showed overall survival (OS) benefits, with a dose-effect relationship observed.
  • Favorable factors for OS included a smoking history and first-line therapy; older age (≥75 years) and non-smoking status were associated with no significant OS benefit.

Conclusions:

  • PD-L1 tumor status, smoking history, and first-line treatment are key predictors of PD-1/PD-L1 inhibitor efficacy.
  • Higher PD-L1 expression may correlate with greater OS benefits.
  • Sex, performance status, tumor histology, and treatment type did not significantly predict efficacy in this analysis.

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