ArticleJournal for immunotherapy of cancer2025
Regional distribution of HLA frequencies in the USA: implications for TCR-based therapies.
Article in Journal for immunotherapy of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Precision Medicine in Pancreatic Cancer: Targeting KRAS and Beyond.Targeted oncology · 2026Review
- A KRASMolecular therapy. Oncology · 2025Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding regional distribution of HLA frequencies is crucial for optimizing enrollment in HLA-restricted clinical trials and to promote trial diversity per the Food and Drug Administration's 2020 mandate. Using US HLA frequency data and census demographics we developed a method to create high-resolution HLA class 1 genotypic frequency maps. Analyzing HLA-A*11:01 and HLA-B*58:01 as alleles of interest, we found significant US regional variations. HLA-A*11:01, which presents KRAS neoantigen mutations targeted by TCR T-cell therapies, showed 10-15% genotypic frequency (national average 11.2%), with western US states 1.5 times higher than average and local variations within California (10-19%). These insights can be used to guide clinical trial site selection, for example, in National Cancer Institute (NCI) cancer center catchment areas. For HLA-B*58:01, which reacts pharmacogenetically with allopurinol and results in severe cutaneous adverse reactions, Mississippi had a high frequency among US states, which could be used to guide potential public safety campaigns. This method can identify regions with high HLA type representation, aiding efficient patient identification and enrollment for HLA-specific clinical trials and health-awareness efforts.
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