Immunodiagnosis - the promise of personalized immunotherapy.
cancer
immunodiagnosis
immunotherapy
personalized therapy
precision medicine
Journal
Frontiers in immunology
ISSN: 1664-3224
Titre abrégé: Front Immunol
Pays: Switzerland
ID NLM: 101560960
Informations de publication
Date de publication:
2023
2023
Historique:
received:
04
05
2023
accepted:
21
06
2023
medline:
1
8
2023
pubmed:
31
7
2023
entrez:
31
7
2023
Statut:
epublish
Résumé
Immunotherapy showed remarkable efficacy in several cancer types. However, the majority of patients do not benefit from immunotherapy. Evaluating tumor heterogeneity and immune status before treatment is key to identifying patients that are more likely to respond to immunotherapy. Demographic characteristics (such as sex, age, and race), immune status, and specific biomarkers all contribute to response to immunotherapy. A comprehensive immunodiagnostic model integrating all these three dimensions by artificial intelligence would provide valuable information for predicting treatment response. Here, we coined the term "immunodiagnosis" to describe the blueprint of the immunodiagnostic model. We illustrated the features that should be included in immunodiagnostic model and the strategy of constructing the immunodiagnostic model. Lastly, we discussed the incorporation of this immunodiagnosis model in clinical practice in hopes of improving the prognosis of tumor immunotherapy.
Identifiants
pubmed: 37520576
doi: 10.3389/fimmu.2023.1216901
pmc: PMC10372420
doi:
Types de publication
Journal Article
Review
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1216901Informations de copyright
Copyright © 2023 Wang, Xiong, Wang, Wu, Hu, Ruan, Sun, Ma, Li and Liao.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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