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Biomarkers and experimental models for cancer immunology investigation

The rapid advancement of tumor immunotherapies poses challenges for the tools used in cancer immunology research, highlighting the need for highly effective biomarkers and reproducible experimental models. Current immunotherapy biomarkers encompass surface protein markers such as PD‐L1, genetic feat...

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Autores principales: Xu, Hengyi, Jia, Ziqi, Liu, Fengshuo, Li, Jiayi, Huang, Yansong, Jiang, Yiwen, Pu, Pengming, Shang, Tongxuan, Tang, Pengrui, Zhou, Yongxin, Yang, Yufan, Su, Jianzhong, Liu, Jiaqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693314/
https://www.ncbi.nlm.nih.gov/pubmed/38045830
http://dx.doi.org/10.1002/mco2.437
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author Xu, Hengyi
Jia, Ziqi
Liu, Fengshuo
Li, Jiayi
Huang, Yansong
Jiang, Yiwen
Pu, Pengming
Shang, Tongxuan
Tang, Pengrui
Zhou, Yongxin
Yang, Yufan
Su, Jianzhong
Liu, Jiaqi
author_facet Xu, Hengyi
Jia, Ziqi
Liu, Fengshuo
Li, Jiayi
Huang, Yansong
Jiang, Yiwen
Pu, Pengming
Shang, Tongxuan
Tang, Pengrui
Zhou, Yongxin
Yang, Yufan
Su, Jianzhong
Liu, Jiaqi
author_sort Xu, Hengyi
collection PubMed
description The rapid advancement of tumor immunotherapies poses challenges for the tools used in cancer immunology research, highlighting the need for highly effective biomarkers and reproducible experimental models. Current immunotherapy biomarkers encompass surface protein markers such as PD‐L1, genetic features such as microsatellite instability, tumor‐infiltrating lymphocytes, and biomarkers in liquid biopsy such as circulating tumor DNAs. Experimental models, ranging from 3D in vitro cultures (spheroids, submerged models, air–liquid interface models, organ‐on‐a‐chips) to advanced 3D bioprinting techniques, have emerged as valuable platforms for cancer immunology investigations and immunotherapy biomarker research. By preserving native immune components or coculturing with exogenous immune cells, these models replicate the tumor microenvironment in vitro. Animal models like syngeneic models, genetically engineered models, and patient‐derived xenografts provide opportunities to study in vivo tumor‐immune interactions. Humanized animal models further enable the simulation of the human‐specific tumor microenvironment. Here, we provide a comprehensive overview of the advantages, limitations, and prospects of different biomarkers and experimental models, specifically focusing on the role of biomarkers in predicting immunotherapy outcomes and the ability of experimental models to replicate the tumor microenvironment. By integrating cutting‐edge biomarkers and experimental models, this review serves as a valuable resource for accessing the forefront of cancer immunology investigation.
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spelling pubmed-106933142023-12-03 Biomarkers and experimental models for cancer immunology investigation Xu, Hengyi Jia, Ziqi Liu, Fengshuo Li, Jiayi Huang, Yansong Jiang, Yiwen Pu, Pengming Shang, Tongxuan Tang, Pengrui Zhou, Yongxin Yang, Yufan Su, Jianzhong Liu, Jiaqi MedComm (2020) Reviews The rapid advancement of tumor immunotherapies poses challenges for the tools used in cancer immunology research, highlighting the need for highly effective biomarkers and reproducible experimental models. Current immunotherapy biomarkers encompass surface protein markers such as PD‐L1, genetic features such as microsatellite instability, tumor‐infiltrating lymphocytes, and biomarkers in liquid biopsy such as circulating tumor DNAs. Experimental models, ranging from 3D in vitro cultures (spheroids, submerged models, air–liquid interface models, organ‐on‐a‐chips) to advanced 3D bioprinting techniques, have emerged as valuable platforms for cancer immunology investigations and immunotherapy biomarker research. By preserving native immune components or coculturing with exogenous immune cells, these models replicate the tumor microenvironment in vitro. Animal models like syngeneic models, genetically engineered models, and patient‐derived xenografts provide opportunities to study in vivo tumor‐immune interactions. Humanized animal models further enable the simulation of the human‐specific tumor microenvironment. Here, we provide a comprehensive overview of the advantages, limitations, and prospects of different biomarkers and experimental models, specifically focusing on the role of biomarkers in predicting immunotherapy outcomes and the ability of experimental models to replicate the tumor microenvironment. By integrating cutting‐edge biomarkers and experimental models, this review serves as a valuable resource for accessing the forefront of cancer immunology investigation. John Wiley and Sons Inc. 2023-12-02 /pmc/articles/PMC10693314/ /pubmed/38045830 http://dx.doi.org/10.1002/mco2.437 Text en © 2023 The Authors. MedComm published by Sichuan International Medical Exchange & Promotion Association (SCIMEA) and John Wiley & Sons Australia, Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Reviews
Xu, Hengyi
Jia, Ziqi
Liu, Fengshuo
Li, Jiayi
Huang, Yansong
Jiang, Yiwen
Pu, Pengming
Shang, Tongxuan
Tang, Pengrui
Zhou, Yongxin
Yang, Yufan
Su, Jianzhong
Liu, Jiaqi
Biomarkers and experimental models for cancer immunology investigation
title Biomarkers and experimental models for cancer immunology investigation
title_full Biomarkers and experimental models for cancer immunology investigation
title_fullStr Biomarkers and experimental models for cancer immunology investigation
title_full_unstemmed Biomarkers and experimental models for cancer immunology investigation
title_short Biomarkers and experimental models for cancer immunology investigation
title_sort biomarkers and experimental models for cancer immunology investigation
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693314/
https://www.ncbi.nlm.nih.gov/pubmed/38045830
http://dx.doi.org/10.1002/mco2.437
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