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- Publisher Website: 10.1038/s42003-019-0736-4
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Article: Diversity spectrum analysis identifies mutation-specific effects of cancer driver genes
Title | Diversity spectrum analysis identifies mutation-specific effects of cancer driver genes |
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Authors | |
Keywords | Mutual Exclusivity Somatic Mutation Oncogene |
Issue Date | 2020 |
Publisher | Nature Research (part of Springer Nature): Fully open access journals. The Journal's web site is located at http://www.nature.com/commsbio |
Citation | Communications Biology, 2020, v. 3 n. 1, p. article no. 6 How to Cite? |
Abstract | Mutation-specific effects of cancer driver genes influence drug responses and the success of clinical trials. We reasoned that these effects could unbalance the distribution of each mutation across different cancer types, as a result, the cancer preference can be used to distinguish the effects of the causal mutation. Here, we developed a network-based framework to systematically measure cancer diversity for each driver mutation. We found that half of the driver genes harbor cancer type-specific and pancancer mutations simultaneously, suggesting that the pervasive functional heterogeneity of the mutations from even the same driver gene. We further demonstrated that the specificity of the mutations could influence patient drug responses. Moreover, we observed that diversity was generally increased in advanced tumors. Finally, we scanned potentially novel cancer driver genes based on the diversity spectrum. Diversity spectrum analysis provides a new approach to define driver mutations and optimize off-label clinical trials. |
Persistent Identifier | http://hdl.handle.net/10722/284223 |
ISSN | 2023 Impact Factor: 5.2 2023 SCImago Journal Rankings: 2.090 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Dong, X | - |
dc.contributor.author | Huang, D | - |
dc.contributor.author | Yi, X | - |
dc.contributor.author | Zhang, S | - |
dc.contributor.author | Wang, Z | - |
dc.contributor.author | Yan, B | - |
dc.contributor.author | Sham, PC | - |
dc.contributor.author | Chen, K | - |
dc.contributor.author | Li, MJ | - |
dc.date.accessioned | 2020-07-20T05:57:02Z | - |
dc.date.available | 2020-07-20T05:57:02Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Communications Biology, 2020, v. 3 n. 1, p. article no. 6 | - |
dc.identifier.issn | 2399-3642 | - |
dc.identifier.uri | http://hdl.handle.net/10722/284223 | - |
dc.description.abstract | Mutation-specific effects of cancer driver genes influence drug responses and the success of clinical trials. We reasoned that these effects could unbalance the distribution of each mutation across different cancer types, as a result, the cancer preference can be used to distinguish the effects of the causal mutation. Here, we developed a network-based framework to systematically measure cancer diversity for each driver mutation. We found that half of the driver genes harbor cancer type-specific and pancancer mutations simultaneously, suggesting that the pervasive functional heterogeneity of the mutations from even the same driver gene. We further demonstrated that the specificity of the mutations could influence patient drug responses. Moreover, we observed that diversity was generally increased in advanced tumors. Finally, we scanned potentially novel cancer driver genes based on the diversity spectrum. Diversity spectrum analysis provides a new approach to define driver mutations and optimize off-label clinical trials. | - |
dc.language | eng | - |
dc.publisher | Nature Research (part of Springer Nature): Fully open access journals. The Journal's web site is located at http://www.nature.com/commsbio | - |
dc.relation.ispartof | Communications Biology | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Mutual Exclusivity | - |
dc.subject | Somatic Mutation | - |
dc.subject | Oncogene | - |
dc.title | Diversity spectrum analysis identifies mutation-specific effects of cancer driver genes | - |
dc.type | Article | - |
dc.identifier.email | Yan, B: yanbin14@hku.hk | - |
dc.identifier.authority | Yan, B=rp01940 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1038/s42003-019-0736-4 | - |
dc.identifier.pmid | 31925297 | - |
dc.identifier.pmcid | PMC6946677 | - |
dc.identifier.scopus | eid_2-s2.0-85077608013 | - |
dc.identifier.hkuros | 310839 | - |
dc.identifier.volume | 3 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | article no. 6 | - |
dc.identifier.epage | article no. 6 | - |
dc.identifier.isi | WOS:000541546500002 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 2399-3642 | - |