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PD-L1 SNPs as biomarkers to define benefit in patients with advanced NSCLC treated with immune checkpoint inhibitors
- Source :
- Tumori. 108(1)
- Publication Year :
- 2021
-
Abstract
- 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.
- Subjects :
- Oncology
PD-L1
Adult
Male
Cancer Research
medicine.medical_specialty
medicine.medical_treatment
Immune checkpoint inhibitors
Programmed Cell Death 1 Receptor
Single-nucleotide polymorphism
NSCLC
Polymorphism, Single Nucleotide
B7-H1 Antigen
03 medical and health sciences
0302 clinical medicine
Internal medicine
Carcinoma, Non-Small-Cell Lung
Biomarkers, Tumor
Medicine
Humans
In patient
CTLA-4 Antigen
030212 general & internal medicine
Immune Checkpoint Inhibitors
Aged
Neoplasm Staging
Aged, 80 and over
biology
business.industry
General Medicine
Immunotherapy
Middle Aged
Progression-Free Survival
Treatment Outcome
030220 oncology & carcinogenesis
biology.protein
Biomarker (medicine)
biomarker
Female
immunotherapy
business
SNPs
Subjects
Details
- ISSN :
- 20382529
- Volume :
- 108
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Tumori
- Accession number :
- edsair.doi.dedup.....9625c96252d00a46b818441e7c6dd778