title: Screening for characteristic microRNAs between pre-invasive and invasive stages of cervical cancer.
abstract: The aim of the present study was to investigate the characteristic microRNAs (miRNAs) expressed during the pre-invasive and invasive stages of cervical cancer. A gene expression profile (GSE7803) containing 21 invasive squamous cell cervical carcinoma samples, 10 normal squamous cervical epithelium samples and seven high-grade squamous intraepithelial cervical lesion samples, was obtained from the Gene Expression Omnibus. Differentially expressed genes (DEGs) were identified using significance analysis of microarray software, and a Gene Ontology (GO) enrichment analysis was conducted using the Database for Annotation, Visualization and Integrated Discovery. The miRNAs that interacted with the identified DEGs were selected, based on the TarBase v5.0 database. Regulatory networks were constructed from these selected miRNAs along with their corresponding target genes among the DEGs. The regulatory networks were visualized using Cytoscape. A total of 1,160 and 756 DEGs were identified in the pre-invasive and invasive stages of cervical cancer, respectively. The results of the GO enrichment demonstrated that the DEGs were predominantly involved in the immune response and the cell cycle, in the pre‑invasive and invasive stages, respectively. Furthermore, a total of 18 and 26 characteristic miRNAs were screened in the pre‑invasive and invasive stages, respectively. These miRNAs may be potential biomarkers and targets for the diagnosis and treatment of the different stages of cervical cancer.
authors.affiliation: Department of Obstetrics and Gynecology, Shanghai Sixth People's Hospital, Shanghai Jiaotong University, Shanghai 200233, P.R. China.
authors.forename: Xiao-Lu
authors.initials: XL
authors.lastname: Zhu
authors.affiliation: Department of Obstetrics and Gynecology, Shanghai Sixth People's Hospital, Shanghai Jiaotong University, Shanghai 200233, P.R. China.
authors.forename: Shang-Yun
authors.initials: SY
authors.lastname: Wen
authors.affiliation: Department of Obstetrics and Gynecology, Shanghai Sixth People's Hospital, Shanghai Jiaotong University, Shanghai 200233, P.R. China.
authors.forename: Zhi-Hong
authors.initials: ZH
authors.lastname: Ai
authors.affiliation: Department of Obstetrics and Gynecology, Shanghai Sixth People's Hospital, Shanghai Jiaotong University, Shanghai 200233, P.R. China.
authors.forename: Juan
authors.initials: J
authors.lastname: Wang
authors.affiliation: Department of Obstetrics and Gynecology, Shanghai Sixth People's Hospital, Shanghai Jiaotong University, Shanghai 200233, P.R. China.
authors.forename: Yan-Li
authors.initials: YL
authors.lastname: Xu
authors.affiliation: Department of Obstetrics and Gynecology, Shanghai Sixth People's Hospital, Shanghai Jiaotong University, Shanghai 200233, P.R. China.
authors.forename: Yin-Cheng
authors.initials: YC
authors.lastname: Teng
mesh_terms: D002294:Carcinoma, Squamous Cell / Q000235:genetics* / Q000473:pathology; D016000:Cluster Analysis; D019295:Computational Biology; D005260:Female; D015972:Gene Expression Regulation, Neoplastic; D053263:Gene Regulatory Networks; D006801:Humans; D035683:MicroRNAs / Q000235:genetics* / Q000302:isolation & purification; D046228:Microarray Analysis; D009361:Neoplasm Invasiveness; D009367:Neoplasm Staging; D002583:Uterine Cervical Neoplasms / Q000235:genetics* / Q000473:pathology
chemical_list: D035683:MicroRNAs