Immunodiagnosis — the promise of personalized immunotherapy

Frontiers in Immunology

Immunology

Li Li¹  Chaoyang Sun¹  Di Wu¹  Ding Ma¹  Shujie Liao¹  Renjie Wang¹  Bai Hu¹  Jinghan Ruan¹  Kairong Xiong¹  Zhimin Wang² 

[1] Department of Obstetrics and Gynecology, Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China;Division of Endocrinology and Metabolic Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China;

关键词: immunodiagnosis;    cancer;    immunotherapy;    precision medicine;    personalized therapy;   

DOI  :  10.3389/fimmu.2023.1216901

 received in 2023-05-04, accepted in 2023-06-21,  发布年份 2023

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

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Copyright © 2023 Wang, Xiong, Wang, Wu, Hu, Ruan, Sun, Ma, Li and Liao