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Nair, Asha

Mayo Clinic

Mayo Clinic

Citations 1

Identification of tumor-associated antigens with multi-cancer therapeutic potential
Wickland, Daniel P. , Jessen, Erik , Nair, Asha, Necela, Brian, Lauer, Kimberly, Mangalaparthi, Kiran K., Balaya, Rex Devasahayam Arokia , Pandey, Akhilesh, Mansfield, Aaron S., Knutson, Keith L., Asmann, Yan W. , Arokia Balaya, Rex Devasahayam, Devasahayam Arokia Balaya, Rex , Necela, Brian M. , Mangalaparthi, Kiran K. , Pandey, Akhilesh, Mansfield, Aaron S., Knutson, Keith L.

Frontiers in Immunology | June 5, 2026 | Volume: 17 | Issue: No issue available | Pages: No page available

10.3389/fimmu.2026.1839980 Get It

Tumor-associated antigens (TAAs) are non-mutated antigenic peptides expressed in cancer tissue at abnormally high levels but in normal tissue either at negligible levels, during only particular developmental stages, or in a tissue-restricted manner. The shared nature of TAAs across patients makes them attractive targets for off-the-shelf immunotherapies. However, no studies have comprehensively surveyed the TAA potential of all possible wild-type peptides originating from cancer-associated genes. In this study of 16 cancer tissue types and 39 normal tissue types, we analyzed the expression profiles of protein-coding genes to identify those with aberrantly high RNA levels across multiple solid tumor types and low RNA levels across all normal tissue types examined. We then developed a score to quantify tumor specificity of gene expression. Compared to previously reported TAA genes, those we identified exhibited substantially greater tumor specificity. Seven of these genes demonstrated consistently elevated expression in at least five tumor types and minimal expression across all non-immune-privileged normal tissues. To assess Human Leukocyte Antigen (HLA) class I presentation potential of the multi-cancer-associated genes, we computationally predicted the binding affinities between the most common class I HLA alleles and all possible wild-type TAA epitopes of 8–11 amino acids arising from those genes. We then applied rigorous filtering criteria to prioritize the most promising multi-cancer TAA peptide candidates and evaluated their HLA binding and cell-surface presentation using T2 and immunopeptidome analysis. Our results highlight new potential targets for multi-cancer immunotherapies.