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...
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| Main Authors: | , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
06 October 2021
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| In: |
Communications biology
Year: 2021, Volume: 4, Pages: 1-12 |
| ISSN: | 2399-3642 |
| DOI: | 10.1038/s42003-021-02647-4 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1038/s42003-021-02647-4 Verlag, lizenzpflichtig, Volltext: https://www.nature.com/articles/s42003-021-02647-4 
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| Author Notes: | Josephine T. Daub, Saman Amini, Denise J.E. Kersjes, Xiaotu Ma, Natalie Jäger, Jinghui Zhang, Stefan M. Pfister, Frank C.P. Holstege & Patrick Kemmeren |
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| 520 | |a 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. | ||
| 650 | 4 | |a Cancer | |
| 650 | 4 | |a Cancer genomics | |
| 650 | 4 | |a Paediatric cancer | |
| 650 | 4 | |a Statistical methods | |
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| 700 | 1 | |a Kersjes, Denise J. E. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Ma, Xiaotu |e VerfasserIn |4 aut | |
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