KMS Of Academy of mathematics and systems sciences, CAS
| Identification of Common Driver Gene Modules and Associations between Cancers through Integrated Network Analysis | |
Gao, Bo1,2,3,4,5 ; Zhao, Yue1,3; Gao, Yonghang1,3; Li, Guojun2,6; Wu, Ling-Yun1,3
| |
| 2021-06-19 | |
| Source Publication | GLOBAL CHALLENGES
 |
| Pages | 13 |
| Abstract | Y High-throughput biological data has created an unprecedented opportunity for illuminating the mechanisms of tumor emergence and evolution. An important and challenging problem in deciphering cancers is to investigate the commonalities of driver genes and pathways and the associations between cancers. Aiming at this problem, a tool ComCovEx is developed to identify common cancer driver gene modules between two cancers by searching for the candidates in local signaling networks using an exclusivitycoverage iteration strategy and outputting those with significant coverage and exclusivity for both cancers. The associations of the cancer pairs are further evaluated by Fisher's exact test. Being applied to 11 TCGA cancer datasets, ComCovEx identifies 13 significantly associated cancer pairs with plenty of biologically significant common gene modules. The novel results of cancer relationship and common gene modules reveal the relevant pathological basis of different cancer types and provide new clues to diagnosis and drug treatment in associated cancers. |
| Keyword | driver gene module gene mutation mutual exclusivity network analysis signaling pathway |
| DOI | 10.1002/gch2.202100006 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Key Research and Development Program of China[2020YFA0712400] ; Program of Natural Science Fund of China[61902390] ; Program of Natural Science Fund of China[11631014] ; Program of Natural Science Fund of China[11931008] ; Program of Natural Science Fund of China[61771009] ; Beijing Municipal Key Laboratory of Clinical Epidemiology |
| WOS Research Area | Science & Technology - Other Topics |
| WOS Subject | Multidisciplinary Sciences |
| WOS ID | WOS:000663286800001 |
| Publisher | WILEY-V C H VERLAG GMBH |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/58831 |
| Collection | 应用数学研究所 博士后 |
| Corresponding Author | Li, Guojun; Wu, Ling-Yun |
| Affiliation | 1.Chinese Acad Sci, Acad Math & Syst Sci, IAM, MADIS,NCMIS, Beijing 100190, Peoples R China 2.Shandong Univ, Sch Math, Jinan 250100, Peoples R China 3.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China 4.Capital Med Univ, Sch Publ Hlth, Beijing 100069, Peoples R China 5.Beijing Municipal Key Lab Clin Epidemiol, Beijing 100069, Peoples R China 6.Shandong Univ, Res Ctr Math & Interdisciplinary Sci, Qingdao 266237, Peoples R China |
| Recommended Citation GB/T 7714 | Gao, Bo,Zhao, Yue,Gao, Yonghang,et al. Identification of Common Driver Gene Modules and Associations between Cancers through Integrated Network Analysis[J]. GLOBAL CHALLENGES,2021:13. |
| APA | Gao, Bo,Zhao, Yue,Gao, Yonghang,Li, Guojun,&Wu, Ling-Yun.(2021).Identification of Common Driver Gene Modules and Associations between Cancers through Integrated Network Analysis.GLOBAL CHALLENGES,13. |
| MLA | Gao, Bo,et al."Identification of Common Driver Gene Modules and Associations between Cancers through Integrated Network Analysis".GLOBAL CHALLENGES (2021):13. |
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