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MHC-I genotype and tumor mutational burden predict response to immunotherapy

Authors :
Aaron M. Goodman
Andrea Castro
Rachel Marty Pyke
Ryosuke Okamura
Shumei Kato
Paul Riviere
Garrett Frampton
Ethan Sokol
Xinlian Zhang
Edward D. Ball
Hannah Carter
Razelle Kurzrock
Source :
Genome Medicine, Vol 12, Iss 1, Pp 1-13 (2020)
Publication Year :
2020
Publisher :
BMC, 2020.

Abstract

Abstract Background Immune checkpoint blockade (ICB) with antibodies inhibiting cytotoxic T lymphocyte-associated protein-4 (CTLA-4) and programmed cell death protein-1 (PD-1) (or its ligand (PD-L1)) can stimulate immune responses against cancer and have revolutionized the treatment of tumors. The influence of host germline genetics and its interaction with tumor neoantigens remains poorly defined. We sought to determine the interaction between tumor mutational burden (TMB) and the ability of a patient’s major histocompatibility complex class I (MHC-I) to efficiently present mutated driver neoantigens in predicting response ICB. Methods Comprehensive genomic profiling was performed on 83 patients with diverse cancers treated with ICB to determine TMB and human leukocyte antigen-I (HLA-I) genotype. The ability of a patient’s MHC-I to efficiently present mutated driver neoantigens (defined by the Patient Harmonic-mean Best Rank (PHBR) score (with lower PHBR indicating more efficient presentation)) was calculated for each patient. Results The median progression-free survival (PFS) for PHBR score 6 months/partial response/complete response rate, median PFS, and median overall survival (OS) of TMB high/PHBR high vs. TMB high/PHBR low were 43% vs. 78% (P = 0.049), 5.8 vs. 26.8 months (P = 0.03), and 17.2 months vs. not reached (P = 0.23), respectively. These findings were confirmed in an independent validation cohort of 32 patients. Conclusions Poor presentation of driver mutation neoantigens by MHC-I may explain why some tumors (even with a high TMB) do not respond to ICB.

Details

Language :
English
ISSN :
1756994X
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Genome Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.8067f8df0594a5f9427af445b6cda59
Document Type :
article
Full Text :
https://doi.org/10.1186/s13073-020-00743-4