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September 23, 2025BJC Reports0 citationsOpen Access

Evaluating the significance of combining PD-L1 and TILs as biomarkers in non-small cell lung cancer patients treated with immunotherapy: a systematic review

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YDYassmina DerrazeSHSayed M.S. HashemiEUEzgi B. Ulas

Key Points

  • Combining pd-l1 and tumor-infiltrating lymphocytes showed strong predictive value for progression-free survival and overall survival.
  • Out of 13 studies with 2490 patients, pd-l1 expression correlated with longer progression-free survival in 6 studies.
  • The systematic review included data from studies assessing the role of pd-l1 and tils as biomarkers for immunotherapy response.
  • Despite the combined predictive value, clinical application of these biomarkers remains complex for patient treatment.

Abstract

In advanced non-small cell lung cancer (NSCLC), programmed death-ligand 1 (PD-L1) expression is a well-established but suboptimal biomarker for predicting response to immune checkpoint inhibitors (ICIs). Tumor-infiltrating lymphocytes (TILs), particularly CD8+ subsets, have demonstrated potential as complementary biomarker. Despite existing data on each biomarker individually, the combined effect is not fully understood. A systematic search of Ovid/Medline, Embase, and Web of Science identified studies on CD8+ TILs and PD-L1 in NSCLC patients treated with ICIs. The primary outcomes were progression-free survival (PFS) and overall survival (OS). Secondary endpoints included objective response rate (ORR) and durable clinical benefit (DCB). Study quality was assessed using the Newcastle-Ottawa Scale. Thirteen studies (2490 patients) were included. PD-L1 expression was associated with longer PFS in 6 of 8 studies (HR: 0.67, 95% CI: 0.49–0.90) but did not significantly correlate with OS. TILs alone showed no significant predictive value for PFS or OS. However, combining both biomarkers provided the strongest predictive value for PFS (HR: 0.39, 95% CI: 0.27–0.57) and OS (HR: 0.42, 95% CI: 0.31–0.56). Combining PD-L1 and TILs may more effectively predict PFS and OS than either biomarker alone, though their clinical application remains complex.

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Cite This Study

Derraze et al. (2025) studied this question.

synapsesocial.com/papers/68d46fdc31b076d99fa6a7d1https://doi.org/10.1038/s44276-025-00174-x
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