UM
Investigation of hypoxia networks in ovarian cancer via bioinformatics analysis
Zhang, Ke; Kong, Xiangjun; Feng, Guangde; Xiang, Wei; Chen, Long; Yang, Fang; Cao, Chunyu; Ding, Yifei; Chen, Hang; Chu, Mingxing; Wang, Pingqing; Zhang, Baoyun
2018-02-26
Source PublicationJOURNAL OF OVARIAN RESEARCH
ISSN1757-2215
Volume11
AbstractBackground: Ovarian cancer is a leading cause of the death from gynecologic malignancies. Hypoxia is closely related to the malignant growth of cells. However, the molecular mechanism of hypoxia-regulated ovarian cancer cells remains unclear. Thus, this study was conducted to identify the key genes and pathways implicated in the regulation of hypoxia by bioinformatics analysis.
KeywordOvarian cancer Bioinformatics analyses ErbB signaling pathway Molecular mechanism Hypoxia
DOI10.1186/s13048-018-0388-x
URLView the original
Indexed BySCIE
Language英语
WOS Research AreaReproductive Biology
WOS SubjectReproductive Biology
WOS IDWOS:000426676400001
PublisherBMC
The Source to ArticleWOS
Fulltext Access
Citation statistics
Cited Times [WOS]:10   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Zhang, Ke,Kong, Xiangjun,Feng, Guangde,et al. Investigation of hypoxia networks in ovarian cancer via bioinformatics analysis[J]. JOURNAL OF OVARIAN RESEARCH,2018,11.
APA Zhang, Ke,Kong, Xiangjun,Feng, Guangde,Xiang, Wei,Chen, Long,Yang, Fang,Cao, Chunyu,Ding, Yifei,Chen, Hang,Chu, Mingxing,Wang, Pingqing,&Zhang, Baoyun.(2018).Investigation of hypoxia networks in ovarian cancer via bioinformatics analysis.JOURNAL OF OVARIAN RESEARCH,11.
MLA Zhang, Ke,et al."Investigation of hypoxia networks in ovarian cancer via bioinformatics analysis".JOURNAL OF OVARIAN RESEARCH 11(2018).
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