title: A systematic study on dysregulated microRNAs in cervical cancer development.
abstract: MicroRNAs (miRNAs) are short regulatory RNAs that modulate the transcriptome and proteome at the post-transcriptional level. To obtain a better understanding on the role of miRNAs in the progression of cervical cancer, meta-analysis and gene set enrichment analysis were used to analyze published cervical cancer miRNA studies. From 85 published reports, which include 3,922 cases and 2,099 noncancerous control tissue samples, 63 differentially expressed miRNAs (DEmiRNAs) were identified in different stages of cervical cancer development (CIN 1-3 and CC). It was found that some of the dysregulated miRNAs were associated with specific stages of cervical cancer development. To illustrate the impact of miRNAs on the pathogenesis of cervical cancer, a miRNA-mRNA interaction network on selected pathways was built by integrating viral oncoproteins, dysregulated miRNAs and their predicted/validated targets. The results indicated that the deregulated miRNAs at the different stages of cervical cancer were functionally involved in several key cancer related pathways, such as cell cycle, p53 and Wnt signaling pathways. These dysregulated miRNAs could play an important role in cervical cancer development. Some of the stage-specific miRNAs can also be used as biomarkers for cancer classification and monitoring the progression of cancer development.
authors.affiliation: Institute of Medical Systems Biology, Guangdong Medical University, Dongguan, Guangdong, China.
authors.forename: Yuqing
authors.initials: Y
authors.lastname: He
authors.affiliation: Department of Epidemiology and Medical Statistics, Guangdong Medical University, Dongguan, Guangdong, China.
authors.forename: Juanjuan
authors.initials: J
authors.lastname: Lin
authors.affiliation: Department of Epidemiology and Medical Statistics, Guangdong Medical University, Dongguan, Guangdong, China.
authors.forename: Yuanlin
authors.initials: Y
authors.lastname: Ding
authors.affiliation: Department of Chemistry and Molecular Biology, North Dakota State University, Fargo, ND.
authors.forename: Guodong
authors.initials: G
authors.lastname: Liu
authors.affiliation: Department of Epidemiology and Medical Statistics, Guangdong Medical University, Dongguan, Guangdong, China.
authors.forename: Yanhong
authors.initials: Y
authors.lastname: Luo
authors.affiliation: Department of Health Inspection, Guangdong Medical University, Dongguan, Guangdong, China.
authors.forename: Mingyuan
authors.initials: M
authors.lastname: Huang
authors.affiliation: Department of Epidemiology and Medical Statistics, Guangdong Medical University, Dongguan, Guangdong, China.
authors.forename: Chengkai
authors.initials: C
authors.lastname: Xu
authors.affiliation: Institute for Systems Biology, Seattle, WA.
authors.forename: Taek-Kyun
authors.initials: TK
authors.lastname: Kim
authors.affiliation: Pacific Northwest Diabetes Research Institute, Seattle, WA.
authors.forename: Alton
authors.initials: A
authors.lastname: Etheridge
authors.affiliation: Department of Epidemiology and Medical Statistics, Guangdong Medical University, Dongguan, Guangdong, China.
authors.forename: Mi
authors.initials: M
authors.lastname: Lin
authors.affiliation: Department of Epidemiology and Medical Statistics, Guangdong Medical University, Dongguan, Guangdong, China.
authors.forename: Danli
authors.initials: D
authors.lastname: Kong
authors.affiliation: Institute for Systems Biology, Seattle, WA.
authors.forename: Kai
authors.initials: K
authors.lastname: Wang
mesh_terms: D000818:Animals; D002471:Cell Transformation, Neoplastic / Q000235:genetics* / Q000378:metabolism; D005260:Female; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D035683:MicroRNAs / Q000235:genetics*; D009367:Neoplasm Staging; D034622:RNA Interference; D012333:RNA, Messenger / Q000235:genetics; D015398:Signal Transduction; D002583:Uterine Cervical Neoplasms / Q000235:genetics* / Q000378:metabolism / Q000473:pathology
chemical_list: D035683:MicroRNAs; D012333:RNA, Messenger
keywords: cervical cancer; cervical intraepithelial neoplasia; gene set enrichment analysis; meta-analysis; microRNA