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Effect Sizes of Somatic Mutations in Cancer
A major goal of cancer biology is determination of the relative importance of the genetic alterations that confer selective advantage to cancer cells. Tumor sequence surveys have frequently ranked the importance of substitutions to cancer growth by P value or a false-discovery conversion thereof. Ho...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6235682/ https://www.ncbi.nlm.nih.gov/pubmed/30365005 http://dx.doi.org/10.1093/jnci/djy168 |
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author | Cannataro, Vincent L Gaffney, Stephen G Townsend, Jeffrey P |
author_facet | Cannataro, Vincent L Gaffney, Stephen G Townsend, Jeffrey P |
author_sort | Cannataro, Vincent L |
collection | PubMed |
description | A major goal of cancer biology is determination of the relative importance of the genetic alterations that confer selective advantage to cancer cells. Tumor sequence surveys have frequently ranked the importance of substitutions to cancer growth by P value or a false-discovery conversion thereof. However, P values are thresholds for belief, not metrics of effect. Their frequent misuse as metrics of effect has often been vociferously decried, even in cases when the only attributable mistake was omission of effect sizes. Here, we propose an appropriate ranking—the cancer effect size, which is the selection intensity for somatic variants in cancer cell lineages. The selection intensity is a metric of the survival and reproductive advantage conferred by mutations in somatic tissue. Thus, they are of fundamental importance to oncology, and have immediate relevance to ongoing decision making in precision medicine tumor boards, to the selection and design of clinical trials, to the targeted development of pharmaceuticals, and to basic research prioritization. Within this commentary, we first discuss the scope of current methods that rank confidence in the overrepresentation of specific mutated genes in cancer genomes. Then we bring to bear recent advances that draw upon an understanding of the development of cancer as an evolutionary process to estimate the effect size of somatic variants leading to cancer. We demonstrate the estimation of the effect sizes of all recurrent single nucleotide variants in 22 cancer types, quantifying relative importance within and between driver genes. |
format | Online Article Text |
id | pubmed-6235682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-62356822018-11-19 Effect Sizes of Somatic Mutations in Cancer Cannataro, Vincent L Gaffney, Stephen G Townsend, Jeffrey P J Natl Cancer Inst Commentary A major goal of cancer biology is determination of the relative importance of the genetic alterations that confer selective advantage to cancer cells. Tumor sequence surveys have frequently ranked the importance of substitutions to cancer growth by P value or a false-discovery conversion thereof. However, P values are thresholds for belief, not metrics of effect. Their frequent misuse as metrics of effect has often been vociferously decried, even in cases when the only attributable mistake was omission of effect sizes. Here, we propose an appropriate ranking—the cancer effect size, which is the selection intensity for somatic variants in cancer cell lineages. The selection intensity is a metric of the survival and reproductive advantage conferred by mutations in somatic tissue. Thus, they are of fundamental importance to oncology, and have immediate relevance to ongoing decision making in precision medicine tumor boards, to the selection and design of clinical trials, to the targeted development of pharmaceuticals, and to basic research prioritization. Within this commentary, we first discuss the scope of current methods that rank confidence in the overrepresentation of specific mutated genes in cancer genomes. Then we bring to bear recent advances that draw upon an understanding of the development of cancer as an evolutionary process to estimate the effect size of somatic variants leading to cancer. We demonstrate the estimation of the effect sizes of all recurrent single nucleotide variants in 22 cancer types, quantifying relative importance within and between driver genes. Oxford University Press 2018-10-26 /pmc/articles/PMC6235682/ /pubmed/30365005 http://dx.doi.org/10.1093/jnci/djy168 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Commentary Cannataro, Vincent L Gaffney, Stephen G Townsend, Jeffrey P Effect Sizes of Somatic Mutations in Cancer |
title | Effect Sizes of Somatic Mutations in Cancer |
title_full | Effect Sizes of Somatic Mutations in Cancer |
title_fullStr | Effect Sizes of Somatic Mutations in Cancer |
title_full_unstemmed | Effect Sizes of Somatic Mutations in Cancer |
title_short | Effect Sizes of Somatic Mutations in Cancer |
title_sort | effect sizes of somatic mutations in cancer |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6235682/ https://www.ncbi.nlm.nih.gov/pubmed/30365005 http://dx.doi.org/10.1093/jnci/djy168 |
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