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Burden of tumor mutations, neoepitopes, and other variants are weak predictors of cancer immunotherapy response and overall survival
BACKGROUND: Tumor mutational burden (TMB; the quantity of aberrant nucleotide sequences a given tumor may harbor) has been associated with response to immune checkpoint inhibitor therapy and is gaining broad acceptance as a result. However, TMB harbors intrinsic variability across cancer types, and...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106909/ https://www.ncbi.nlm.nih.gov/pubmed/32228719 http://dx.doi.org/10.1186/s13073-020-00729-2 |
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author | Wood, Mary A. Weeder, Benjamin R. David, Julianne K. Nellore, Abhinav Thompson, Reid F. |
author_facet | Wood, Mary A. Weeder, Benjamin R. David, Julianne K. Nellore, Abhinav Thompson, Reid F. |
author_sort | Wood, Mary A. |
collection | PubMed |
description | BACKGROUND: Tumor mutational burden (TMB; the quantity of aberrant nucleotide sequences a given tumor may harbor) has been associated with response to immune checkpoint inhibitor therapy and is gaining broad acceptance as a result. However, TMB harbors intrinsic variability across cancer types, and its assessment and interpretation are poorly standardized. METHODS: Using a standardized approach, we quantify the robustness of TMB as a metric and its potential as a predictor of immunotherapy response and survival among a diverse cohort of cancer patients. We also explore the additive predictive potential of RNA-derived variants and neoepitope burden, incorporating several novel metrics of immunogenic potential. RESULTS: We find that TMB is a partial predictor of immunotherapy response in melanoma and non-small cell lung cancer, but not renal cell carcinoma. We find that TMB is predictive of overall survival in melanoma patients receiving immunotherapy, but not in an immunotherapy-naive population. We also find that it is an unstable metric with potentially problematic repercussions for clinical cohort classification. We finally note minimal additional predictive benefit to assessing neoepitope burden or its bulk derivatives, including RNA-derived sources of neoepitopes. CONCLUSIONS: We find sufficient cause to suggest that the predictive clinical value of TMB should not be overstated or oversimplified. While it is readily quantified, TMB is at best a limited surrogate biomarker of immunotherapy response. The data do not support isolated use of TMB in renal cell carcinoma. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13073-020-00729-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7106909 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-71069092020-04-01 Burden of tumor mutations, neoepitopes, and other variants are weak predictors of cancer immunotherapy response and overall survival Wood, Mary A. Weeder, Benjamin R. David, Julianne K. Nellore, Abhinav Thompson, Reid F. Genome Med Research BACKGROUND: Tumor mutational burden (TMB; the quantity of aberrant nucleotide sequences a given tumor may harbor) has been associated with response to immune checkpoint inhibitor therapy and is gaining broad acceptance as a result. However, TMB harbors intrinsic variability across cancer types, and its assessment and interpretation are poorly standardized. METHODS: Using a standardized approach, we quantify the robustness of TMB as a metric and its potential as a predictor of immunotherapy response and survival among a diverse cohort of cancer patients. We also explore the additive predictive potential of RNA-derived variants and neoepitope burden, incorporating several novel metrics of immunogenic potential. RESULTS: We find that TMB is a partial predictor of immunotherapy response in melanoma and non-small cell lung cancer, but not renal cell carcinoma. We find that TMB is predictive of overall survival in melanoma patients receiving immunotherapy, but not in an immunotherapy-naive population. We also find that it is an unstable metric with potentially problematic repercussions for clinical cohort classification. We finally note minimal additional predictive benefit to assessing neoepitope burden or its bulk derivatives, including RNA-derived sources of neoepitopes. CONCLUSIONS: We find sufficient cause to suggest that the predictive clinical value of TMB should not be overstated or oversimplified. While it is readily quantified, TMB is at best a limited surrogate biomarker of immunotherapy response. The data do not support isolated use of TMB in renal cell carcinoma. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13073-020-00729-2) contains supplementary material, which is available to authorized users. BioMed Central 2020-03-30 /pmc/articles/PMC7106909/ /pubmed/32228719 http://dx.doi.org/10.1186/s13073-020-00729-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Wood, Mary A. Weeder, Benjamin R. David, Julianne K. Nellore, Abhinav Thompson, Reid F. Burden of tumor mutations, neoepitopes, and other variants are weak predictors of cancer immunotherapy response and overall survival |
title | Burden of tumor mutations, neoepitopes, and other variants are weak predictors of cancer immunotherapy response and overall survival |
title_full | Burden of tumor mutations, neoepitopes, and other variants are weak predictors of cancer immunotherapy response and overall survival |
title_fullStr | Burden of tumor mutations, neoepitopes, and other variants are weak predictors of cancer immunotherapy response and overall survival |
title_full_unstemmed | Burden of tumor mutations, neoepitopes, and other variants are weak predictors of cancer immunotherapy response and overall survival |
title_short | Burden of tumor mutations, neoepitopes, and other variants are weak predictors of cancer immunotherapy response and overall survival |
title_sort | burden of tumor mutations, neoepitopes, and other variants are weak predictors of cancer immunotherapy response and overall survival |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106909/ https://www.ncbi.nlm.nih.gov/pubmed/32228719 http://dx.doi.org/10.1186/s13073-020-00729-2 |
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