PD-L1 SNPs as biomarkers to define benefit in patients with advanced NSCLC treated with immune checkpoint inhibitors

Autor: Melissa Bersanelli, Francesco Bonatti, Sebastiano Buti, Agnese Cosenza, Paola Bordi, Roberta Minari, Marcello Tiseo, Francesco Facchinetti, Gloria Cinquegrani, Andrea Ardizzoni, Elena Rapacchi, Leonarda Ferri, Alessandro Leonetti, Federico Quaini, Alessandra Dodi, Giulia Mazzaschi, Anna Squadrilli, Francesco Gelsomino
Přispěvatelé: Minari R., Bonatti F., Mazzaschi G., Dodi A., Facchinetti F., Gelsomino F., Cinquegrani G., Squadrilli A., Bordi P., Buti S., Bersanelli M., Leonetti A., Cosenza A., Ferri L., Rapacchi E., Quaini F., Ardizzoni A., Tiseo M.
Rok vydání: 2021
Předmět:
Zdroj: Tumori. 108(1)
ISSN: 2038-2529
Popis: Objective: To investigate the role of CTLA-4, PD-1 (programmed death-1), and PD-L1 (programmed death-ligand 1) single nucleotide polymorphisms (SNPs) in predicting clinical outcome of patients with advanced non-small cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICIs). Methods: A total of 166 consecutive patients were included. We correlated SNPs with clinical benefit, progression-free survival, time to treatment failure, and overall survival and evaluated the incidence of SNPs in nonresponder and long clinical benefit groups. Results: Considering the entire cohort, no correlation was found between SNPs and clinical outcome; however, PD-L1 rs4143815 SNP and the long clinical benefit group showed a statistically significant association ( p = 0.02). The nonresponder cohort displayed distinctive PD-L1 haplotype ( p = 0.05). Conclusion: PD-L1 SNPs seem to be marginally involved in predicting clinical outcome of NSCLC treated with ICI, but further investigations are required.
Databáze: OpenAIRE