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This resource reveals HLA typing and expression in 287 pediatric cancer models, highlighting potential for immunotherapy advancement.
Cancer immunotherapy has revolutionized treatment by leveraging the immune system to recognize and destroy tumor cells, offering a promising, less toxic option for pediatric patients. A key component of this response is antigen presentation, which depends on accurate Human Leukocyte Antigen (HLA) typing and expression. However, immune-focused resources for pediatric cancers remain limited. In this study, we present a comprehensive immunogenomic resource covering 287 pediatric cancer cell lines from the Childhood Cancer Model Atlas (CCMA). We inferred high-resolution HLA types using both DNA and RNA sequencing data, predicted neoantigens arising from somatic mutations, gene fusions, and splicing isoforms across multiple tumor types, and quantified HLA expression levels. We also explored immune escape mechanisms, including allele-specific expression and loss of heterozygosity of HLA genes. This publicly accessible dataset (http://vicpcc.org.au/dashboard) provides critical insight into the immune landscape of pediatric cancers and serves as a foundational tool for immunotherapy development. It enables researchers to evaluate tumor immune presentation profiles, prioritize models for preclinical studies, and ultimately accelerate the discovery of personalized, immune-based therapies for children with cancer.
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Guan et al. (2025) studied this question.
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