Neoepitopes prediction strategies: an integration of cancer genomics and immunoinformatics approaches.


Journal

Briefings in functional genomics
ISSN: 2041-2657
Titre abrégé: Brief Funct Genomics
Pays: England
ID NLM: 101528229

Informations de publication

Date de publication:
20 01 2023
Historique:
received: 28 07 2022
revised: 28 09 2022
accepted: 14 10 2022
pubmed: 19 11 2022
medline: 24 1 2023
entrez: 18 11 2022
Statut: ppublish

Résumé

A major near-term medical impact of the genomic technology revolution will be the elucidation of mechanisms of cancer pathogenesis, leading to improvements in the diagnosis of cancer and the selection of cancer treatment. Next-generation sequencing technologies have accelerated the characterization of a tumor, leading to the comprehensive discovery of all the major alterations in a given cancer genome, followed by the translation of this information using computational and immunoinformatics approaches to cancer diagnostics and therapeutic efforts. In the current article, we review various components of cancer immunoinformatics applied to a series of fields of cancer research, including computational tools for cancer mutation detection, cancer mutation and immunological databases, and computational vaccinology.

Identifiants

pubmed: 36398967
pii: 6832429
doi: 10.1093/bfgp/elac041
doi:

Types de publication

Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-8

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Auteurs

Sandeep Kumar Dhanda (SK)

Department of Oncology, St Jude Children's Research Hospital, Memphis, TN 38105, USA.

Swapnil Mahajan (S)

DeepKnomics Labs Private Limited, 7014 Prestige Garden Bay, IVRI Road, Avalahalli, Behind CRPF Campus, Yelahanka, Bangalore 560064, India.

Malini Manoharan (M)

DeepKnomics Labs Private Limited, 7014 Prestige Garden Bay, IVRI Road, Avalahalli, Behind CRPF Campus, Yelahanka, Bangalore 560064, India.

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Classifications MeSH