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Can I read Accurate Detection of Tumor-specific Gene Fusions Reveals Strongly Immunogenic Personal Neo-antigens on EtoBox?
Accurate Detection of Tumor-specific Gene Fusions Reveals Strongly Immunogenic Personal Neo-antigens by David Weber; Jonas Ibn-Salem; Patrick Sorn; Martin Suchan; Christoph Holtsträter; Urs Lahrmann; Isabel Vogler; Kathrin Schmoldt; Franziska Lang; Barbara Schrörs; Martin Löwer; Ugur Sahin is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Accurate Detection of Tumor-specific Gene Fusions Reveals Strongly Immunogenic Personal Neo-antigens about?
Cancer-associated gene fusions are a potential source for highly immunogenic neoantigens, but the lack of computational tools for accurate, sensitive identification of personal gene fusions has limited their targeting in personalized cancer immunotherapy. Here we present EasyFuse, a machine learning computational pipeline for detecting cancer-specific gene fusions in transcriptome data obtained from human cancer samples. EasyFuse predicts personal gene fusions with high precision and sensitivity, outperforming previously described tools. By testing immunogenicity with autologous blood lymphocytes from patients with cancer, we detected pre-established CD4 + and CD8 + T cell responses for 10 of 21 (48%) and for 1 of 30 (3%) identified gene fusions, respectively. The high frequency of T cell responses detected in patients with cancer supports the relevance of individual gene fusions as neoantigens that might be targeted in personalized immunotherapies, especially for tumors with low mutation burden. Articles ## NaTurE BioTECHNology In one replicate In both replicates Predicted gene fusions 273
Who reads Accurate Detection of Tumor-specific Gene Fusions Reveals Strongly Immunogenic Personal Neo-antigens?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- David Weber; Jonas Ibn-Salem; Patrick Sorn; Martin Suchan; Christoph Holtsträter; Urs Lahrmann; Isabel Vogler; Kathrin Schmoldt; Franziska Lang; Barbara Schrörs; Martin Löwer; Ugur Sahin
- Publisher
- Springer Science and Business Media LLC
- Published
- 2022
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)