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What makes TMB an ambivalent biomarker for immunotherapy? A subtle mismatch between the sample-based design of variant callers and real clinical cohort
Tumor mutation burden (TMB) is a widely recognized biomarker for predicting the efficacy of immunotherapy. However, its use still remains highly controversial. In this study, we examine the underlying causes of this controversy based on clinical needs. By tracing the source of the TMB errors and ana...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248171/ https://www.ncbi.nlm.nih.gov/pubmed/37304296 http://dx.doi.org/10.3389/fimmu.2023.1151224 |
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author | Liu, Yuqian Wang, Shenjie Wang, Yixuan Li, Yifei Zhu, Xiaoyan Lai, Xin Zhang, Xuanping Li, Xuqi Xiao, Xiao Wang, Jiayin |
author_facet | Liu, Yuqian Wang, Shenjie Wang, Yixuan Li, Yifei Zhu, Xiaoyan Lai, Xin Zhang, Xuanping Li, Xuqi Xiao, Xiao Wang, Jiayin |
author_sort | Liu, Yuqian |
collection | PubMed |
description | Tumor mutation burden (TMB) is a widely recognized biomarker for predicting the efficacy of immunotherapy. However, its use still remains highly controversial. In this study, we examine the underlying causes of this controversy based on clinical needs. By tracing the source of the TMB errors and analyzing the design philosophy behind variant callers, we identify the conflict between the incompleteness of biostatistics rules and the variety of clinical samples as the critical issue that renders TMB an ambivalent biomarker. A series of experiments were conducted to illustrate the challenges of mutation detection in clinical practice. Additionally, we also discuss potential strategies for overcoming these conflict issues to enable the application of TMB in guiding decision-making in real clinical settings. |
format | Online Article Text |
id | pubmed-10248171 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102481712023-06-09 What makes TMB an ambivalent biomarker for immunotherapy? A subtle mismatch between the sample-based design of variant callers and real clinical cohort Liu, Yuqian Wang, Shenjie Wang, Yixuan Li, Yifei Zhu, Xiaoyan Lai, Xin Zhang, Xuanping Li, Xuqi Xiao, Xiao Wang, Jiayin Front Immunol Immunology Tumor mutation burden (TMB) is a widely recognized biomarker for predicting the efficacy of immunotherapy. However, its use still remains highly controversial. In this study, we examine the underlying causes of this controversy based on clinical needs. By tracing the source of the TMB errors and analyzing the design philosophy behind variant callers, we identify the conflict between the incompleteness of biostatistics rules and the variety of clinical samples as the critical issue that renders TMB an ambivalent biomarker. A series of experiments were conducted to illustrate the challenges of mutation detection in clinical practice. Additionally, we also discuss potential strategies for overcoming these conflict issues to enable the application of TMB in guiding decision-making in real clinical settings. Frontiers Media S.A. 2023-05-25 /pmc/articles/PMC10248171/ /pubmed/37304296 http://dx.doi.org/10.3389/fimmu.2023.1151224 Text en Copyright © 2023 Liu, Wang, Wang, Li, Zhu, Lai, Zhang, Li, Xiao and Wang 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 Liu, Yuqian Wang, Shenjie Wang, Yixuan Li, Yifei Zhu, Xiaoyan Lai, Xin Zhang, Xuanping Li, Xuqi Xiao, Xiao Wang, Jiayin What makes TMB an ambivalent biomarker for immunotherapy? A subtle mismatch between the sample-based design of variant callers and real clinical cohort |
title | What makes TMB an ambivalent biomarker for immunotherapy? A subtle mismatch between the sample-based design of variant callers and real clinical cohort |
title_full | What makes TMB an ambivalent biomarker for immunotherapy? A subtle mismatch between the sample-based design of variant callers and real clinical cohort |
title_fullStr | What makes TMB an ambivalent biomarker for immunotherapy? A subtle mismatch between the sample-based design of variant callers and real clinical cohort |
title_full_unstemmed | What makes TMB an ambivalent biomarker for immunotherapy? A subtle mismatch between the sample-based design of variant callers and real clinical cohort |
title_short | What makes TMB an ambivalent biomarker for immunotherapy? A subtle mismatch between the sample-based design of variant callers and real clinical cohort |
title_sort | what makes tmb an ambivalent biomarker for immunotherapy? a subtle mismatch between the sample-based design of variant callers and real clinical cohort |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248171/ https://www.ncbi.nlm.nih.gov/pubmed/37304296 http://dx.doi.org/10.3389/fimmu.2023.1151224 |
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