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Biomarkers of related driver genes predict anti-tumor efficacy of immune checkpoint inhibitors

Cancer is a disease with high morbidity and mortality in the world. In the past, the main treatment methods for cancer patients were surgery, radiotherapy and chemotherapy. However, with early treatment, the recurrence rate of cancer is higher, and the drug resistance of cancer cells is faster. In r...

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Autores principales: Jiang, Shuai, Geng, Shuai, Luo, Xinyu, Zhang, Can, Yu, Yang, Cheng, Mengfei, Zhang, Shuo, Shi, Ning, Dong, Mei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521273/
https://www.ncbi.nlm.nih.gov/pubmed/36189266
http://dx.doi.org/10.3389/fimmu.2022.995785
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author Jiang, Shuai
Geng, Shuai
Luo, Xinyu
Zhang, Can
Yu, Yang
Cheng, Mengfei
Zhang, Shuo
Shi, Ning
Dong, Mei
author_facet Jiang, Shuai
Geng, Shuai
Luo, Xinyu
Zhang, Can
Yu, Yang
Cheng, Mengfei
Zhang, Shuo
Shi, Ning
Dong, Mei
author_sort Jiang, Shuai
collection PubMed
description Cancer is a disease with high morbidity and mortality in the world. In the past, the main treatment methods for cancer patients were surgery, radiotherapy and chemotherapy. However, with early treatment, the recurrence rate of cancer is higher, and the drug resistance of cancer cells is faster. In recent years, with the discovery of immune escape mechanism of cancer cells, Immunotherapy, especially Immune Checkpoint Inhibitors (ICIs), has made a breakthrough in the treatment of solid tumors, significantly prolonging the overall survival time and disease-free progression in some solid tumors, and its clinical benefits are more prominent than those of traditional anti-tumor drugs, which has become the hope of cancer patients after the failure of multi-line therapy. More and more studies have shown that there is a correlation between cancer driving genes and the clinical benefits of ICIs treatment, and the therapeutic effects and adverse reactions of ICIs can be predicted by the status of driving genes. Therefore, screening potential biomarkers of people who may benefit from immunotherapy in order to maximize the therapeutic benefits is a top priority. This review systematically summarizes the cancer driving genes that may affect the clinical benefits of immune checkpoint inhibitors, and provides accurate scientific basis for clinical practice.
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spelling pubmed-95212732022-09-30 Biomarkers of related driver genes predict anti-tumor efficacy of immune checkpoint inhibitors Jiang, Shuai Geng, Shuai Luo, Xinyu Zhang, Can Yu, Yang Cheng, Mengfei Zhang, Shuo Shi, Ning Dong, Mei Front Immunol Immunology Cancer is a disease with high morbidity and mortality in the world. In the past, the main treatment methods for cancer patients were surgery, radiotherapy and chemotherapy. However, with early treatment, the recurrence rate of cancer is higher, and the drug resistance of cancer cells is faster. In recent years, with the discovery of immune escape mechanism of cancer cells, Immunotherapy, especially Immune Checkpoint Inhibitors (ICIs), has made a breakthrough in the treatment of solid tumors, significantly prolonging the overall survival time and disease-free progression in some solid tumors, and its clinical benefits are more prominent than those of traditional anti-tumor drugs, which has become the hope of cancer patients after the failure of multi-line therapy. More and more studies have shown that there is a correlation between cancer driving genes and the clinical benefits of ICIs treatment, and the therapeutic effects and adverse reactions of ICIs can be predicted by the status of driving genes. Therefore, screening potential biomarkers of people who may benefit from immunotherapy in order to maximize the therapeutic benefits is a top priority. This review systematically summarizes the cancer driving genes that may affect the clinical benefits of immune checkpoint inhibitors, and provides accurate scientific basis for clinical practice. Frontiers Media S.A. 2022-09-15 /pmc/articles/PMC9521273/ /pubmed/36189266 http://dx.doi.org/10.3389/fimmu.2022.995785 Text en Copyright © 2022 Jiang, Geng, Luo, Zhang, Yu, Cheng, Zhang, Shi and Dong https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Jiang, Shuai
Geng, Shuai
Luo, Xinyu
Zhang, Can
Yu, Yang
Cheng, Mengfei
Zhang, Shuo
Shi, Ning
Dong, Mei
Biomarkers of related driver genes predict anti-tumor efficacy of immune checkpoint inhibitors
title Biomarkers of related driver genes predict anti-tumor efficacy of immune checkpoint inhibitors
title_full Biomarkers of related driver genes predict anti-tumor efficacy of immune checkpoint inhibitors
title_fullStr Biomarkers of related driver genes predict anti-tumor efficacy of immune checkpoint inhibitors
title_full_unstemmed Biomarkers of related driver genes predict anti-tumor efficacy of immune checkpoint inhibitors
title_short Biomarkers of related driver genes predict anti-tumor efficacy of immune checkpoint inhibitors
title_sort biomarkers of related driver genes predict anti-tumor efficacy of immune checkpoint inhibitors
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521273/
https://www.ncbi.nlm.nih.gov/pubmed/36189266
http://dx.doi.org/10.3389/fimmu.2022.995785
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