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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...

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Autores principales: Raimondi, Francesco, Singh, Gurdeep, Betts, Matthew J., Apic, Gordana, Vukotic, Ranka, Andreone, Pietro, Stein, Lincoln, Russell, Robert B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
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.
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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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