Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/26941
Title: PDCD1 Polymorphisms May Predict Response to Anti-PD-1 Blockade in Patients With Metastatic Melanoma.
Austin Authors: Parakh, Sagun ;Musafer, Ashan;Paessler, Sabrina;Witkowski, Tom ;Suen, Connie S N Li Wai;Tutuka, Candani S A;Carlino, Matteo S;Menzies, Alexander M;Scolyer, Richard A;Cebon, Jonathan S ;Dobrovic, Alexander ;Long, Georgina V;Klein, Oliver ;Behren, Andreas
Affiliation: Department of Medical Oncology, Westmead and Blacktown Hospitals, Sydney, NSW, Australia
Department of Clinical Medicine, Macquarie University, Sydney, NSW, Australia
Department of Medicine, University of Melbourne, Melbourne, VIC, Australia
Olivia Newton-John Cancer Research Institute
La Trobe University School of Cancer Medicine, Melbourne, VIC, Australia
Department of Mathematics and Statistics, La Trobe University, Melbourne, VIC, Australia
Melanoma Institute Australia, The University of Sydney, North Sydney, NSW, Australia
Department of Medical Oncology, Royal North Shore and Mater Hospitals, Sydney, NSW, Australia
Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital and NSW Health Pathology, Sydney, NSW, Australia
Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
Medical Oncology
Issue Date: 9-Jun-2021
Date: 2021-06-09
Publication information: Frontiers in Immunology 2021; 12: 672521
Abstract: A significant number of patients (pts) with metastatic melanoma do not respond to anti-programmed cell death 1 (PD1) therapies. Identifying predictive biomarkers therefore remains an urgent need. We retrospectively analyzed plasma DNA of pts with advanced melanoma treated with PD-1 antibodies, nivolumab or pembrolizumab, for five PD-1 genotype single nucleotide polymorphisms (SNPs): PD1.1 (rs36084323, G>A), PD1.3 (rs11568821, G>A), PD1.5 (rs2227981, C>T) PD1.6 (rs10204225, G>A) and PD1.9 (rs2227982, C>T). Clinico-pathological and treatment parameters were collected, and presence of SNPs correlated with response, progression free survival (PFS) and overall survival (OS). 115 patients were identified with a median follow up of 18.7 months (range 0.26 - 52.0 months). All were Caucasian; 27% BRAF V600 mutation positive. At PD-1 antibody commencement, 36% were treatment-naïve and 52% had prior ipilimumab. The overall response rate was 43%, 19% achieving a complete response. Overall median PFS was 11.0 months (95% CI 5.4 - 17.3) and median OS was 31.1 months (95% CI 23.2 - NA). Patients with the G/G genotype had more complete responses than with A/G genotype (16.5% vs. 2.6% respectively) and the G allele of PD1.3 rs11568821 was significantly associated with a longer median PFS than the AG allele, 14.1 vs. 7.0 months compared to the A allele (p=0.04; 95% CI 0.14 - 0.94). No significant association between the remaining SNPs and responses, PFS or OS were observed. Despite limitations in sample size, this is the first study to demonstrate an association of a germline PD-1 polymorphism and PFS in response to anti-PD-1 therapy in pts with metastatic melanoma. Extrinsic factors like host germline polymorphisms should be considered with tumor intrinsic factors as predictive biomarkers for immune checkpoint regulators.
URI: https://ahro.austin.org.au/austinjspui/handle/1/26941
DOI: 10.3389/fimmu.2021.672521
Journal: Frontiers in Immunology
PubMed URL: 34177913
Type: Journal Article
Subjects: PD1
immunotherapy
metastatic melanoma
polymorphism
predictive biomarker
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