Lung cancer (LC) cells frequently express high levels of programmed death-ligand 1 (PD-L1). Although these levels grossly correlate with the likelihood of response to specific checkpoint inhibitors, the response prediction is rather imperfect, and more accurate predictive biomarkers are mandatory. We examined the methylation profile of () as a candidate predictive biomarker for anti-PD-1 therapy efficacy in non-small cell lung cancer (NSCLC), correlating with patients' outcome. PD-L1 immunoexpression and levels were analysed in NSCLC samples obtained from patients not treated with anti-PD-1 (Untreated Cohort (#1)) and patients treated with PD-1 blockade (Treated Cohort (#2)). Of a total of 127 patients assessed, 58.3% depicted PD-L1 positivity (PD-L1). levels were significantly associated with PD-L1 immunoexpression. Patients with PD-1 blockade clinical benefit disclosed higher levels ( = 0.0390) and significantly lower risk of disease progression (HR 0.37; 95% CI: 0.15-0.88; = 0.025). Combining with PD-L1 improved the sensitivity of the test to predict immunotherapy response. PD-L1 was also associated with lower risk of death (HR 0.35; 95% CI: 0.15-0.81; = 0.014). Thus, levels might be combined with validated predictive biomarker PD-L1 immunostaining to select patients who will most likely experience clinical benefit from PD-1 blockade. The predictive value of should be confirmed in prospective studies.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7230458PMC
http://dx.doi.org/10.3390/jcm9041000DOI Listing

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