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Among all malignancies of the reproductive organs, ovarian cancer is the sixth leading cause of death for women. Several factors contribute to the uncontrolled expression of certain genes in cancer thus making them act as oncogenes or tumour suppressors. In this study, we have examined four microarray datasets of high-grade ovarian cancer cells to identify differentially expressed genes (DEGs). 362 and 94 common DEGs were identified as up-regulated and down-regulated, respectively from 119 disease and 31 control samples. The DEGs were further analysed for their gene ontologies (GO), pathway, protein-protein interactions and co-expression. Most of the biological processes were associated with cellular processes, biological regulation, metabolic processes, and developmental processes. Further, regulatory networks were constructed by the DEGs which are also co-expressed and the hub genes were identified. The hub genes targeted by a large number of microRNAs (miRNAs) were further analyzed to reveal their role in the overall survival of cancer patients. Finally, GBP5 and ACSS3 were highlighted as potential biomarkers for ovarian cancer research. Communicated by Ramaswamy H. Sarma

GBP5 and ACSS3: two potential biomarkers of high-grade ovarian cancer identified through downstream analysis of microarray data