Recent developments in neoantigen-based cancer vaccines.


Journal

Asian Pacific journal of allergy and immunology
ISSN: 0125-877X
Titre abrégé: Asian Pac J Allergy Immunol
Pays: Thailand
ID NLM: 8402034

Informations de publication

Date de publication:
Jun 2020
Historique:
pubmed: 22 6 2020
medline: 27 1 2021
entrez: 22 6 2020
Statut: ppublish

Résumé

Cynics point out that a cure for cancer has been "around the corner" for the last 50 years. Nevertheless, the recent convergence of deep DNA, RNA, and proteomic technologies with enhanced understanding of the nuances of the adaptive immune system has generated great optimism amongst researchers. The extraordinary heterogeneity of various cancers, once thought to be a major therapeutic hurdle, may now be bypassed via "personalized" vaccine treatments. Specifically, these treatments involve the identification of MHC-bound peptides that are unique to a patient's cancer (neoantigens), followed by immunization with peptides, RNA, or DNA that encodes these neoantigens via various delivery systems, thus amplifying the immune system's response to the particular cancer. Such approaches have shown dramatic results in animal studies. Not surprisingly, then, the field of neoantigen-based immunotherapy has advanced at a spectacular rate, necessitating that interested individuals stay apprised of recent developments. Following an introduction to the subject, we thus focus on aspects that are particularly fast-moving; the cellular sources of neoantigens, which are surprisingly diverse, the tools that are used for their identification, and the status of the numerous clinical trials that are now being conducted.

Identifiants

pubmed: 32563235
doi: 10.12932/AP-120520-0841
doi:

Substances chimiques

Antigens, Neoplasm 0
Autoantigens 0
Cancer Vaccines 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

91-101

Auteurs

Kenneth Hodge (K)

The Center of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.

Suangson Supabphol (S)

The Center of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.

Pramod Kumar (P)

The Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok, Thailand.

Witthaya Poomipak (W)

The Department of Research affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.

Trairak Pisitkun (T)

The Center of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.

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Classifications MeSH