Identification of Common Driver Gene Modules and Associations between Cancers through Integrated Network Analysis

doi:10.1002/gch2.202100006

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	Identification of Common Driver Gene Modules and Associations between Cancers through Integrated Network Analysis
	Gao, Bo1,2,3,4,5 ; Zhao, Yue 1,3; Gao, Yonghang 1,3; Li, Guojun 2,6; Wu, Ling-Yun1,3
	2021-06-19
发表期刊	GLOBAL CHALLENGES
页码	13
摘要	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.
关键词	driver gene module gene mutation mutual exclusivity network analysis signaling pathway
DOI	10.1002/gch2.202100006
收录类别	SCI
语种	英语
资助项目	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研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:000663286800001
出版者	WILEY-V C H VERLAG GMBH
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/58831
专题	应用数学研究所博士后
通讯作者	Li, Guojun; Wu, Ling-Yun
作者单位	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
推荐引用方式 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.