Aims: We performed a meta-analysis to investigate the predictive value of PD-L1 in metastatic renal cell carcinoma (mRCC) patients receiving immune-based combinations versus sunitinib monotherapy. Materials Methods: Outcomes of interest included OS and PFS; HRs and their 95% CIs were extracted. Results: The pooled HR for OS was 0.71 (95% CI: 0.61-0.84) and 0.75 (95% CI: 0.68-0.82) in PD-L1-positive and unselected patients, respectively. Similarly, HR for PFS was 0.68 (95% CI: 0.54-0.85) in PD-L1-positive patients and 0.63 (95% CI: 0.50-0.78) in the ITT population, respectively. Conclusion: Slight differences were observed between PD-L1-positive patients and the ITT population, and these findings support the limited role of PD-L1 as predictive biomarkers in this setting.
Rizzo A., Mollica V., Santoni M., Massari F. (2022). Assessing PD-L1 status in mRCC treated with first-line immune-based combinations: A meta-analysis. IMMUNOTHERAPY, 14(8), 617-625 [10.2217/imt-2021-0261].
Assessing PD-L1 status in mRCC treated with first-line immune-based combinations: A meta-analysis
Rizzo A.;Mollica V.;Massari F.
2022
Abstract
Aims: We performed a meta-analysis to investigate the predictive value of PD-L1 in metastatic renal cell carcinoma (mRCC) patients receiving immune-based combinations versus sunitinib monotherapy. Materials Methods: Outcomes of interest included OS and PFS; HRs and their 95% CIs were extracted. Results: The pooled HR for OS was 0.71 (95% CI: 0.61-0.84) and 0.75 (95% CI: 0.68-0.82) in PD-L1-positive and unselected patients, respectively. Similarly, HR for PFS was 0.68 (95% CI: 0.54-0.85) in PD-L1-positive patients and 0.63 (95% CI: 0.50-0.78) in the ITT population, respectively. Conclusion: Slight differences were observed between PD-L1-positive patients and the ITT population, and these findings support the limited role of PD-L1 as predictive biomarkers in this setting.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
