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The neoepitope landscape in pediatric cancers
Ti-Cheng Chang1, Robert A Carter2, Yongjin Li1
1Department of Computational Biology, St Jude Children's Research Hospital, Memphis, Tennessee, 38105, USA.
Childhood cancers harbor a rich landscape of neoepitopes from mutations and gene fusions, offering new targets for cancer immunotherapy. This study maps these potential targets across various pediatric tumor types.
Area of Science:
- Oncology
- Immunology
- Genomics
Background:
- Neoepitopes from tumor mutations are key for childhood cancer immunotherapy.
- Knowledge of the pediatric cancer neoepitope landscape is limited.
- Previous studies overlooked gene fusions, crucial oncogenic drivers in pediatric cancers.
Purpose of the Study:
- To develop a workflow for identifying neoepitopes from somatic mutations and gene fusions.
- To analyze the neoepitope landscape in childhood cancer genomes and transcriptomes.
- To facilitate the development of novel immunotherapies for pediatric cancers.
Main Methods:
- Developed an analytical workflow for neoepitope identification.
- Utilized whole-genome and transcriptome sequencing data.
- Incorporated analysis of somatic missense mutations and gene fusions.
Main Results:
- Mapped the neoepitope landscape across 540 childhood cancer genomes/transcriptomes (23 subtypes).
- Found that 88% of leukemias, 78% of CNS tumors, and 90% of solid tumors possess predicted neoepitopes.
- Identified potential epitopes from KRAS, histone H3 mutations, and the ETV6-RUNX1 fusion.
Conclusions:
- Presents a comprehensive repertoire of potential neoepitopes in childhood cancers.
- Provides a foundation for developing targeted immunotherapeutic strategies.
- Workflow code is publicly available on GitHub.
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