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Systemic structural analysis of alterations reveals a common structural basis of driver mutations in cancer
A major effort in cancer research is to organize the complexities of the disease into fundamental traits. Despite conceptual progress in the last decades and the synthesis of hallmark features, no organizing principles governing cancer beyond cellular features exist. We analyzed experimentally deter...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846427/ https://www.ncbi.nlm.nih.gov/pubmed/36683915 http://dx.doi.org/10.1093/narcan/zcac040 |
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author | Meirson, Tomer Bomze, David Schueler-Furman, Ora Stemmer, Salomon M Markel, Gal |
author_facet | Meirson, Tomer Bomze, David Schueler-Furman, Ora Stemmer, Salomon M Markel, Gal |
author_sort | Meirson, Tomer |
collection | PubMed |
description | A major effort in cancer research is to organize the complexities of the disease into fundamental traits. Despite conceptual progress in the last decades and the synthesis of hallmark features, no organizing principles governing cancer beyond cellular features exist. We analyzed experimentally determined structures harboring the most significant and prevalent driver missense mutations in human cancer, covering 73% (n = 168178) of the Catalog of Somatic Mutation in Cancer tumor samples (COSMIC). The results reveal that a single structural element—κ-helix (polyproline II helix)—lies at the core of driver point mutations, with significant enrichment in all major anatomical sites, suggesting that a small number of molecular traits are shared by most and perhaps all types of cancer. Thus, we uncovered the lowest possible level of organization at which carcinogenesis takes place at the protein level. This framework provides an initial scheme for a mechanistic understanding underlying the development of tumors and pinpoints key vulnerabilities. |
format | Online Article Text |
id | pubmed-9846427 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98464272023-01-20 Systemic structural analysis of alterations reveals a common structural basis of driver mutations in cancer Meirson, Tomer Bomze, David Schueler-Furman, Ora Stemmer, Salomon M Markel, Gal NAR Cancer Cancer Computational Biology A major effort in cancer research is to organize the complexities of the disease into fundamental traits. Despite conceptual progress in the last decades and the synthesis of hallmark features, no organizing principles governing cancer beyond cellular features exist. We analyzed experimentally determined structures harboring the most significant and prevalent driver missense mutations in human cancer, covering 73% (n = 168178) of the Catalog of Somatic Mutation in Cancer tumor samples (COSMIC). The results reveal that a single structural element—κ-helix (polyproline II helix)—lies at the core of driver point mutations, with significant enrichment in all major anatomical sites, suggesting that a small number of molecular traits are shared by most and perhaps all types of cancer. Thus, we uncovered the lowest possible level of organization at which carcinogenesis takes place at the protein level. This framework provides an initial scheme for a mechanistic understanding underlying the development of tumors and pinpoints key vulnerabilities. Oxford University Press 2023-01-18 /pmc/articles/PMC9846427/ /pubmed/36683915 http://dx.doi.org/10.1093/narcan/zcac040 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of NAR Cancer. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://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 | Cancer Computational Biology Meirson, Tomer Bomze, David Schueler-Furman, Ora Stemmer, Salomon M Markel, Gal Systemic structural analysis of alterations reveals a common structural basis of driver mutations in cancer |
title | Systemic structural analysis of alterations reveals a common structural basis of driver mutations in cancer |
title_full | Systemic structural analysis of alterations reveals a common structural basis of driver mutations in cancer |
title_fullStr | Systemic structural analysis of alterations reveals a common structural basis of driver mutations in cancer |
title_full_unstemmed | Systemic structural analysis of alterations reveals a common structural basis of driver mutations in cancer |
title_short | Systemic structural analysis of alterations reveals a common structural basis of driver mutations in cancer |
title_sort | systemic structural analysis of alterations reveals a common structural basis of driver mutations in cancer |
topic | Cancer Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846427/ https://www.ncbi.nlm.nih.gov/pubmed/36683915 http://dx.doi.org/10.1093/narcan/zcac040 |
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