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Pervasiveness of HLA allele-specific expression loss across tumor types

Authors :
Ioan Filip
Anqi Wang
Oleksandr Kravets
Rose Orenbuch
Junfei Zhao
Tomin E. Perea-Chamblee
Gulam A. Manji
Evangelina López de Maturana
Núria Malats
Kenneth P. Olive
Raul Rabadan
Source :
Genome Medicine, Vol 15, Iss 1, Pp 1-12 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

Abstract Background Efficient presentation of mutant peptide fragments by the human leukocyte antigen class I (HLA-I) genes is necessary for immune-mediated killing of cancer cells. According to recent reports, patient HLA-I genotypes can impact the efficacy of cancer immunotherapy, and the somatic loss of HLA-I heterozygosity has been established as a factor in immune evasion. While global deregulated expression of HLA-I has also been reported in different tumor types, the role of HLA-I allele-specific expression loss — that is, the preferential RNA expression loss of specific HLA-I alleles — has not been fully characterized in cancer. Methods Here, we use RNA and whole-exome sequencing data to quantify HLA-I allele-specific expression (ASE) in cancer using our novel method arcasHLA-quant. Results We show that HLA-I ASE loss in at least one of the three HLA-I genes is a pervasive phenomenon across TCGA tumor types. In pancreatic adenocarcinoma, tumor-specific HLA-I ASE loss is associated with decreased overall survival specifically in the basal-like subtype, a finding that we validated in an independent cohort through laser-capture microdissection. Additionally, we show that HLA-I ASE loss is associated with poor immunotherapy outcomes in metastatic melanoma through retrospective analyses. Conclusions Together, our results highlight the prevalence of HLA-I ASE loss and provide initial evidence of its clinical significance in cancer prognosis and immunotherapy treatment.

Details

Language :
English
ISSN :
1756994X
Volume :
15
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Genome Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.5f7dd83d1a46d3bcb688e49eacddee
Document Type :
article
Full Text :
https://doi.org/10.1186/s13073-023-01154-x