Artikel: Methods behind neoantigen prediction for personalized anticancer vaccines.
2023 Band 183, Seite(n) 161–186
Abstract: Next to conventional cancer therapies, immunotherapies such as immune checkpoint inhibitors have broadened the cancer treatment landscape over the past decades. Recent advances in next generation sequencing and bioinformatics technologies have made it ... ...
Abstract | Next to conventional cancer therapies, immunotherapies such as immune checkpoint inhibitors have broadened the cancer treatment landscape over the past decades. Recent advances in next generation sequencing and bioinformatics technologies have made it possible to identify a patient's own immunogenic neoantigens. These cancer neoantigens serve as important targets for personalized immunotherapy which has the benefit of being more active and effective in targeting cancer cells. This paper is a step-by-step guide discussing the different analyses and challenges encountered during in-silico neoantigen prediction. The protocol describes all the tools and steps required for the identification of immunogenic neoantigens. |
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Mesh-Begriff(e) | Humans ; Antigens, Neoplasm/genetics ; Cancer Vaccines/genetics ; Cancer Vaccines/therapeutic use ; Neoplasms/genetics ; Neoplasms/therapy ; Computational Biology ; Immunotherapy/methods |
Chemische Substanzen | Antigens, Neoplasm ; Cancer Vaccines |
Sprache | Englisch |
Erscheinungsdatum | 2023-09-11 |
Erscheinungsland | United States |
Dokumenttyp | Journal Article |
ISSN | 0091-679X |
ISSN | 0091-679X |
DOI | 10.1016/bs.mcb.2023.05.002 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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