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Updated: Feb 2, 2026

Identifying PD-1/PD-L1 Inhibitors with Surface Plasmon Resonance Technology
Published on: May 2, 2025
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.
Abstract:
We conducted a meta-analysis to estimate the impact of different clinical and molecular characteristics on the efficacy of programmed cell death 1 (PD-1) or programmed cell death ligand 1 (PD-L1) inhibitors. PubMed and Web of Science were searched for related trials. Eleven eligible studies, comprising 5,663 patients, were included in this meta-analysis. We found that the PD-1/PD-L1 inhibitor was associated with a 31% reduction in the risk of death (hazard ratio [HR]=0.69; 95% CI 0.64-0.74; P<0.00001) for patients with melanoma, non-small-cell lung cancer (NSCLC), urothelial carcinoma, head and neck carcinoma, and renal cell carcinoma. In subgroup analyses, all the patients with PD-L1-positive tumors had overall survival (OS) benefits from PD-1/PD-L1 inhibitors regardless of PD-L1 expression level, and a dose-effect relationship between the expression of PD-L1 and OS benefit from PD-1/PD-L1 inhibitors was observed. There was an OS improvement for patients with a smoking history (P<0.00001), but no OS benefit was observed for nonsmokers (P=0.28). In addition, first-line therapy had better OS than second-line or later treatment (P=0.02). No significant improvement of OS was observed (P=0.70) in patients aged ≥75 years. The relative treatment efficacy was similar according to sex (male vs female, P=0.60), performance status (0 vs ≥1, P=0.68), tumor histology (squamous NSCLC vs non-squamous NSCLC vs melanoma vs urothelial carcinoma vs head and neck carcinoma vs renal cell carcinoma, P=0.64), and treatment type (PD-1 inhibitor vs PD-L1 inhibitor, P=0.36). In conclusion, PD-L1-positive tumors, smoking history, and first-line treatment were potential factors for the efficacy of PD-1/PD-L1 inhibitors. Patients with higher PD-L1 expression might achieve greater OS benefits. In addition, sex, performance status, tumor histology, and treatment type could not predict the efficacy of this therapy. In contrast, patients aged >75 years and nonsmokers might not get OS benefits from this treatment. These results may improve treatment strategies and patient selection for PD-1/PD-L1 inhibitors.
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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