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A systematic analysis of genetic interactions and their underlying biology in childhood cancer
Childhood cancer is a major cause of child death in developed countries. Genetic interactions between mutated genes play an important role in cancer development. They can be detected by searching for pairs of mutated genes that co-occur more (or less) often than expected. Co-occurrence suggests a co...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494736/ https://www.ncbi.nlm.nih.gov/pubmed/34615983 http://dx.doi.org/10.1038/s42003-021-02647-4 |
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author | Daub, Josephine T. Amini, Saman Kersjes, Denise J. E. Ma, Xiaotu Jäger, Natalie Zhang, Jinghui Pfister, Stefan M. Holstege, Frank C. P. Kemmeren, Patrick |
author_facet | Daub, Josephine T. Amini, Saman Kersjes, Denise J. E. Ma, Xiaotu Jäger, Natalie Zhang, Jinghui Pfister, Stefan M. Holstege, Frank C. P. Kemmeren, Patrick |
author_sort | Daub, Josephine T. |
collection | PubMed |
description | Childhood cancer is a major cause of child death in developed countries. Genetic interactions between mutated genes play an important role in cancer development. They can be detected by searching for pairs of mutated genes that co-occur more (or less) often than expected. Co-occurrence suggests a cooperative role in cancer development, while mutual exclusivity points to synthetic lethality, a phenomenon of interest in cancer treatment research. Little is known about genetic interactions in childhood cancer. We apply a statistical pipeline to detect genetic interactions in a combined dataset comprising over 2,500 tumors from 23 cancer types. The resulting genetic interaction map of childhood cancers comprises 15 co-occurring and 27 mutually exclusive candidates. The biological explanation of most candidates points to either tumor subtype, pathway epistasis or cooperation while synthetic lethality plays a much smaller role. Thus, other explanations beyond synthetic lethality should be considered when interpreting genetic interaction test results. |
format | Online Article Text |
id | pubmed-8494736 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84947362021-10-07 A systematic analysis of genetic interactions and their underlying biology in childhood cancer Daub, Josephine T. Amini, Saman Kersjes, Denise J. E. Ma, Xiaotu Jäger, Natalie Zhang, Jinghui Pfister, Stefan M. Holstege, Frank C. P. Kemmeren, Patrick Commun Biol Article Childhood cancer is a major cause of child death in developed countries. Genetic interactions between mutated genes play an important role in cancer development. They can be detected by searching for pairs of mutated genes that co-occur more (or less) often than expected. Co-occurrence suggests a cooperative role in cancer development, while mutual exclusivity points to synthetic lethality, a phenomenon of interest in cancer treatment research. Little is known about genetic interactions in childhood cancer. We apply a statistical pipeline to detect genetic interactions in a combined dataset comprising over 2,500 tumors from 23 cancer types. The resulting genetic interaction map of childhood cancers comprises 15 co-occurring and 27 mutually exclusive candidates. The biological explanation of most candidates points to either tumor subtype, pathway epistasis or cooperation while synthetic lethality plays a much smaller role. Thus, other explanations beyond synthetic lethality should be considered when interpreting genetic interaction test results. Nature Publishing Group UK 2021-10-06 /pmc/articles/PMC8494736/ /pubmed/34615983 http://dx.doi.org/10.1038/s42003-021-02647-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Daub, Josephine T. Amini, Saman Kersjes, Denise J. E. Ma, Xiaotu Jäger, Natalie Zhang, Jinghui Pfister, Stefan M. Holstege, Frank C. P. Kemmeren, Patrick A systematic analysis of genetic interactions and their underlying biology in childhood cancer |
title | A systematic analysis of genetic interactions and their underlying biology in childhood cancer |
title_full | A systematic analysis of genetic interactions and their underlying biology in childhood cancer |
title_fullStr | A systematic analysis of genetic interactions and their underlying biology in childhood cancer |
title_full_unstemmed | A systematic analysis of genetic interactions and their underlying biology in childhood cancer |
title_short | A systematic analysis of genetic interactions and their underlying biology in childhood cancer |
title_sort | systematic analysis of genetic interactions and their underlying biology in childhood cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494736/ https://www.ncbi.nlm.nih.gov/pubmed/34615983 http://dx.doi.org/10.1038/s42003-021-02647-4 |
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