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Identification of Shared Neoantigens in BRCA1-Related Breast Cancer

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Personalized neoantigen-based cancer vaccines have been shown to be safe and immunogenic in cancer patients; however, the manufacturing process can be costly and bring about delays in treatment. Using off-the-shelf cancer vaccines targeting shared neoantigens may circumvent these problems. Unique mutational signatures and similar phenotypes found among BRCA1-mutated breast cancer make it an ideal candidate for discovering shared neoantigens within the group. We obtained genome sequencing data of breast cancer samples with or without somatic BRCA1 mutations (BRCA1-positive and BRCA1-negative, respectively) from the three public cancer databases; The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC), and Catalogue of Somatic Mutations in Cancer (COSMIC); and from three studies with whole genome/exome sequencing data of samples with germline BRCA1 mutations. Data were analyzed separately within the same database/cohort. We found PIK3CA H1047R, E545K, E542K, and N345K recurrently in BRCA1-negative groups across all databases, whereas recurrent somatic mutations in BRCA1-positive groups were discordant among databases. For germline BRCA1-mutated breast cancer, TP53 R175H was unanimously the most frequent mutation among the three germline cohorts. Our study provides lists of potential shared neoantigens among BRCA1-related breast cancer, which may be used in developing off-the-shelf neoantigen-based vaccines.
Title: Identification of Shared Neoantigens in BRCA1-Related Breast Cancer
Description:
Personalized neoantigen-based cancer vaccines have been shown to be safe and immunogenic in cancer patients; however, the manufacturing process can be costly and bring about delays in treatment.
Using off-the-shelf cancer vaccines targeting shared neoantigens may circumvent these problems.
Unique mutational signatures and similar phenotypes found among BRCA1-mutated breast cancer make it an ideal candidate for discovering shared neoantigens within the group.
We obtained genome sequencing data of breast cancer samples with or without somatic BRCA1 mutations (BRCA1-positive and BRCA1-negative, respectively) from the three public cancer databases; The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC), and Catalogue of Somatic Mutations in Cancer (COSMIC); and from three studies with whole genome/exome sequencing data of samples with germline BRCA1 mutations.
Data were analyzed separately within the same database/cohort.
We found PIK3CA H1047R, E545K, E542K, and N345K recurrently in BRCA1-negative groups across all databases, whereas recurrent somatic mutations in BRCA1-positive groups were discordant among databases.
For germline BRCA1-mutated breast cancer, TP53 R175H was unanimously the most frequent mutation among the three germline cohorts.
Our study provides lists of potential shared neoantigens among BRCA1-related breast cancer, which may be used in developing off-the-shelf neoantigen-based vaccines.

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