Mass Spectrometry-BasedProfiling of PersonalizedImmunopeptidomes in Thai Renal Cell Carcinoma

Abstract This study profiles the personalized immunopeptidomes of 13 Thai patients with renal cell carcinoma (RCC), addressing a critical knowledge gap in Southeast Asian populations characterized by distinct HLA allele distributions. We combined whole-exome sequencing (WES)–based personalized proteome construction with liquid chromatography–tandem mass spectrometry (LC–MS/MS), using both database-driven searches and de novo peptide sequencing. HLA typing identified seven alleles not previously represented in major immunopeptidome databases, with HLA-A*11:01 being the most frequent (69%). Database-based analysis identified a single tumor-specific neoantigen derived from a mutant JADE2 peptide in the patient with the highest tumor mutational burden, which was validated by a mutant-specific ELISPOT response. In contrast, de novo sequencing revealed numerous non-canonical peptides, a subset of which were supported by proteogenomic validation using PepQuery and detected exclusively in cancer proteomes but not in normal tissue datasets, indicating their potential as tumor-associated antigens. Together, these results establish an integrated and scalable framework for identifying HLA-presented tumor-derived peptides and provide a foundational immunopeptidome resource to support personalized cancer immunotherapy development in Southeast Asia.

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Publication Details

Journal
Journal of Proteome Research
Published
2026-08-14
DOI
https://doi.org/10.1021/acs.jproteome.6c00141
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
0.00

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article

Mass Spectrometry-BasedProfiling of PersonalizedImmunopeptidomes in Thai Renal Cell Carcinoma

Sira Sriswasdi, Poorichaya Somparn, Piriya Wongkongkathep, Trairak Pisitkun
Journal of Proteome Research
vaccines and immunoinformatics approaches
article

Mass Spectrometry-BasedProfiling of PersonalizedImmunopeptidomes in Thai Renal Cell Carcinoma

Sira Sriswasdi, Poorichaya Somparn, Piriya Wongkongkathep, Trairak Pisitkun
article en

Abstract

Abstract This study profiles the personalized immunopeptidomes of 13 Thai patients with renal cell carcinoma (RCC), addressing a critical knowledge gap in Southeast Asian populations characterized by distinct HLA allele distributions. We combined whole-exome sequencing (WES)–based personalized proteome construction with liquid chromatography–tandem mass spectrometry (LC–MS/MS), using both database-driven searches and de novo peptide sequencing. HLA typing identified seven alleles not previously represented in major immunopeptidome databases, with HLA-A*11:01 being the most frequent (69%). Database-based analysis identified a single tumor-specific neoantigen derived from a mutant JADE2 peptide in the patient with the highest tumor mutational burden, which was validated by a mutant-specific ELISPOT response. In contrast, de novo sequencing revealed numerous non-canonical peptides, a subset of which were supported by proteogenomic validation using PepQuery and detected exclusively in cancer proteomes but not in normal tissue datasets, indicating their potential as tumor-associated antigens. Together, these results establish an integrated and scalable framework for identifying HLA-presented tumor-derived peptides and provide a foundational immunopeptidome resource to support personalized cancer immunotherapy development in Southeast Asia.

Journal of Proteome Research
Chulalongkorn University (TH), Chiang Mai University (TH)
Chulalongkorn University, National Research Council of Thailand, Thailand Science Research and Innovation
Partnerships for the goals
Openalex Percentile: Top 98%
vaccines and immunoinformatics approaches
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