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Devasahayam Arokia Balaya, Rex

0000-0002-9556-3150

Mayo Clinic

Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55905, USA.

Citations 5

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.
A Practical Guide to Developing and Troubleshooting Patient-Derived “Mini-Gut” Colorectal Organoids for Clinical Research
Balaya, Rex Devasahayam Arokia , Heydari, Zahra , Sarkar, Gobinda , Garcia, Edwin , Hoyos‐Vega, José M. de , Krueger, Eugene W. , Helgeson, Lauren, Revzin, Alexander , Ros, Alexandra , Pandey, Akhilesh , Boardman, Lisa, Devasahayam Arokia Balaya, Rex , Cruz Garcia, Estela Mariel , de Hoyos-Vega, Jose M , Krueger, Eugene W , Pandey, Akhilesh , Boardman, Lisa

Methods and Protocols | October 13, 2025 | Volume: 8 | Issue: 5 | Pages: 121

10.3390/mps8050121 Get It

Patient-derived organoids (PDOs) have emerged as powerful tools in personalized medicine applicable to both non-malignant conditions and to cancer, where they are increasingly used for personalized drug screening and precision treatment strategies in part due to their ability to replicate tumor heterogeneity. They also serve as study model systems to understand disease mechanisms, pathways, and the impact of ex vivo exposures. We present a detailed step-by-step protocol for generating organoids from normal crypts, polyps, and tumors, including methods for tissue processing, crypt isolation, culture establishment, and the transition from basolateral to apical-out polarity for co-culture and exposure-based studies. The protocol also includes immunofluorescence staining procedures for cellular characterization and quality control measures. Our standardized approach successfully generates organoids from diverse colorectal tissues with high efficiency and reproducibility. This comprehensive guide addresses common technical challenges and provides troubleshooting strategies to improve success rates across different sample types. We believe that this resource will enhance reproducibility in organoid research and expand their utility in translational applications, particularly for personalized medicine approaches in colorectal cancer.
The Role of Organoids in Advancing Colorectal Cancer Research: Insights and Future Directions
Heydari, Zahra , Balaya, Rex Devasahayam Arokia , Sarkar, Gobinda , Boardman, Lisa, Devasahayam Arokia Balaya, Rex , Boardman, Lisa

Cancers | June 25, 2025 | Volume: 17 | Issue: 13 | Pages: 2129

10.3390/cancers17132129 Get It

Organoids are three-dimensional (3D) structures that mimic the architecture and functionality of human organs, providing a novel approach to study diseases such as colorectal cancer (CRC). This review aims to explore the impact of organoids on understanding CRC and their potential use in exploring therapeutic outcomes. Colorectal cancer, characterized by the transformation of colonic epithelial cells into adenomas and carcinomas, remains one of the top causes of cancer-related morbidity and mortality worldwide. Traditional two-dimensional (2D) cell cultures fail to replicate the tumor microenvironment in an effective manner, which highlights the need for advanced 3D models. Organoids preserve the genetic and phenotypic properties of the original tumors, allowing for improved disease modeling, drug screening, and personalized medicine applications. When using patient-derived organoids (PDOs), researchers can gain insights into CRC initiation, progression, and treatment outcome. Ultimately, organoids represent an encouraging platform for improving therapeutic strategies for CRC, potentially leading to better patient outcomes through tailored treatment approaches.
Computational tools for exploring peptide-membrane interactions in gram-positive bacteria
Kumar, Shreya , Balaya, Rex Devasahayam Arokia , Kanekar, Saptami , Raju, Rajesh , Prasad, Thottethodi Subrahmanya Keshava , Kandasamy, Richard K. , Prasad, Thottethodi Subrahmanya Keshav , Devasahayam Arokia Balaya, Rex

Computational and Structural Biotechnology Journal | March 1, 2023 | Volume: 21 | Issue: No issue available | Pages: 1995-2008

10.1016/j.csbj.2023.02.051 Get It