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Neoantigens Derived from Recurrently Mutated Genes as Potential Immunotherapy Targets for Gastric Cancer.


ABSTRACT: Neoantigens are optimal tumor-specific targets for T-cell based immunotherapy, especially for patients with "undruggable" mutated driver genes. T-cell immunotherapy can be a "universal" treatment for HLA genotype patients sharing same oncogenic mutations. To identify potential neoantigens for therapy in gastric cancer, 32 gastric cancer patients were enrolled in our study. Whole exome sequencing data from these patients was processed by TSNAD software to detect cancer somatic mutations and predict neoantigens. The somatic mutations between different patients suggested a high interpatient heterogeneity. C>A and C>T substitutions are common, suggesting an active nucleotide excision repair. The number of predicted neoantigens was significantly higher in patients at stage T1a compared to in patients at T2 or T4b. Six genes (PIK3CA, FAT4, BRCA2, GNAQ, LRP1B, and PREX2) were found as recurrently mutated driver genes in our study. Combining with highly frequent HLA alleles, several neoantigens derived from six recurrently mutated genes were considered as potential targets for further immunotherapy.

SUBMITTER: Zhou J 

PROVIDER: S-EPMC6595338 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Neoantigens Derived from Recurrently Mutated Genes as Potential Immunotherapy Targets for Gastric Cancer.

Zhou Jie J   Zhao Wenyi W   Wu Jingcheng J   Lu Jun J   Ding Yongfeng Y   Wu Shanshan S   Wang Haiyong H   Ding Ding D   Mo Fan F   Zhou Zhan Z   Teng Lisong L   Chen Shuqing S  

BioMed research international 20190613


Neoantigens are optimal tumor-specific targets for T-cell based immunotherapy, especially for patients with "undruggable" mutated driver genes. T-cell immunotherapy can be a "universal" treatment for HLA genotype patients sharing same oncogenic mutations. To identify potential neoantigens for therapy in gastric cancer, 32 gastric cancer patients were enrolled in our study. Whole exome sequencing data from these patients was processed by TSNAD software to detect cancer somatic mutations and predi  ...[more]

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