Bioinformatics analysis of gene expression profile of serous ovarian carcinomas to screen key genes and pathways

• Published in: Journal of ovarian research Vol. 13; no. 1; pp. 82 - 12
• Main Authors: Fei, Hongjun, Chen, Songchang, Xu, Chenming
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 21.07.2020; BioMed Central; BMC
• Subjects: Anopheles; Bioinformatics; Biomarkers; Cancer genetics; Carcinoma, Ovarian Epithelial; CDC20; Cdc20 Proteins - genetics; Computational Biology - methods; Cystadenocarcinoma, Serous - genetics; Datasets; Development and progression; Differentially expressed genes; DNA Topoisomerases, Type II - genetics; Down-Regulation - genetics; Etiology; Female; Function analysis; Gene expression; Gene Expression Profiling - methods; Gene Expression Regulation, Neoplastic - genetics; Genes; Genetic aspects; Humans; KIF11; Kinesins - genetics; Language; Medical prognosis; Ovarian cancer; Ovarian carcinoma; Ovarian Neoplasms - genetics; Polo-like kinase; Prospective Studies; Proteins; Ribonucleic acid; RNA; RNA, Messenger - genetics; Serous ovarian carcinomas; Signal Transduction - genetics; Studies; Transcriptome - genetics; Tumor biomarkers; Tumorigenesis; Tumors; Up-Regulation - genetics; CDC20; Differentially expressed genes; Serous ovarian carcinomas; KIF11; Tumor biomarkers; Function analysis

Serous ovarian carcinomas (SCA) are the most common and most aggressive ovarian carcinoma subtype which etiology remains unclear. To investigate the prospective role of mRNAs in the tumorigenesis and progression of SCA, the aberrantly expressed mRNAs were calculated based on the NCBI-GEO RNA-seq dat...