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Insights into cancer severity from biomolecular interaction mechanisms
To attain a deeper understanding of diseases like cancer, it is critical to couple genetics with biomolecular mechanisms. High-throughput sequencing has identified thousands of somatic mutations across dozens of cancers, and there is a pressing need to identify the few that are pathologically releva...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5048291/ https://www.ncbi.nlm.nih.gov/pubmed/27698488 http://dx.doi.org/10.1038/srep34490 |
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author | Raimondi, Francesco Singh, Gurdeep Betts, Matthew J. Apic, Gordana Vukotic, Ranka Andreone, Pietro Stein, Lincoln Russell, Robert B. |
author_facet | Raimondi, Francesco Singh, Gurdeep Betts, Matthew J. Apic, Gordana Vukotic, Ranka Andreone, Pietro Stein, Lincoln Russell, Robert B. |
author_sort | Raimondi, Francesco |
collection | PubMed |
description | To attain a deeper understanding of diseases like cancer, it is critical to couple genetics with biomolecular mechanisms. High-throughput sequencing has identified thousands of somatic mutations across dozens of cancers, and there is a pressing need to identify the few that are pathologically relevant. Here we use protein structure and interaction data to interrogate nonsynonymous somatic cancer mutations, identifying a set of 213 molecular interfaces (protein-protein, -small molecule or –nucleic acid) most often perturbed in cancer, highlighting several potentially novel cancer genes. Over half of these interfaces involve protein-small-molecule interactions highlighting their overall importance in cancer. We found distinct differences in the predominance of perturbed interfaces between cancers and histological subtypes and presence or absence of certain interfaces appears to correlate with cancer severity. |
format | Online Article Text |
id | pubmed-5048291 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50482912016-10-11 Insights into cancer severity from biomolecular interaction mechanisms Raimondi, Francesco Singh, Gurdeep Betts, Matthew J. Apic, Gordana Vukotic, Ranka Andreone, Pietro Stein, Lincoln Russell, Robert B. Sci Rep Article To attain a deeper understanding of diseases like cancer, it is critical to couple genetics with biomolecular mechanisms. High-throughput sequencing has identified thousands of somatic mutations across dozens of cancers, and there is a pressing need to identify the few that are pathologically relevant. Here we use protein structure and interaction data to interrogate nonsynonymous somatic cancer mutations, identifying a set of 213 molecular interfaces (protein-protein, -small molecule or –nucleic acid) most often perturbed in cancer, highlighting several potentially novel cancer genes. Over half of these interfaces involve protein-small-molecule interactions highlighting their overall importance in cancer. We found distinct differences in the predominance of perturbed interfaces between cancers and histological subtypes and presence or absence of certain interfaces appears to correlate with cancer severity. Nature Publishing Group 2016-10-04 /pmc/articles/PMC5048291/ /pubmed/27698488 http://dx.doi.org/10.1038/srep34490 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Raimondi, Francesco Singh, Gurdeep Betts, Matthew J. Apic, Gordana Vukotic, Ranka Andreone, Pietro Stein, Lincoln Russell, Robert B. Insights into cancer severity from biomolecular interaction mechanisms |
title | Insights into cancer severity from biomolecular interaction mechanisms |
title_full | Insights into cancer severity from biomolecular interaction mechanisms |
title_fullStr | Insights into cancer severity from biomolecular interaction mechanisms |
title_full_unstemmed | Insights into cancer severity from biomolecular interaction mechanisms |
title_short | Insights into cancer severity from biomolecular interaction mechanisms |
title_sort | insights into cancer severity from biomolecular interaction mechanisms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5048291/ https://www.ncbi.nlm.nih.gov/pubmed/27698488 http://dx.doi.org/10.1038/srep34490 |
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