Integration of miRNA and mRNA Expression Data for Understanding Etiology of Gynecologic Cancers
Dysregulation of miRNA–mRNA regulatory networks is very common phenomenon in any diseases including cancer. Altered expression of biomarkers leads to these gynecologic cancers. Therefore, understanding the underlying biological mechanisms may help in developing a robust diagnostic as well as a prognostic tool. It has been demonstrated in various studies that the pathways associated with gynecologic cancer have dysregulated miRNA as well as mRNA expression. Identification of miRNA–mRNA regulatory modules may help in understanding the mechanism of altered gynecologic cancer pathways. In this regard, an existing robust mutual information-based Maximum-Relevance Maximum-Significance algorithm has been used for identification of miRNA–mRNA regulatory modules in gynecologic cancer. A set of miRNA–mRNA modules are identified first than their association with gynecologic cancer are studied exhaustively. The effectiveness of the proposed approach is compared with the existing methods. The proposed approach is found to generate more robust integrated networks of miRNA–mRNA in gynecologic cancer.
Key wordsGynecologic cancer miRNAs Genes Mutual information MRMS Ovarian cancer Cervical cancer
This work is partially supported by the seed grant program of the Indian Institute of Technology Jodhpur, India (grant no. I/SEED/SPU/20160010). The author wants to acknowledge Mr. Shubham Talbar, Indian Institute of Technology Jodhpur, India for his contribution in implementing certain bioinformatics tools.
- 2.American Cancer Society (n.d.) https://www.cancer.org/. Accessed 13 June 2018
- 6.Cline MS, Craft B, Swatloski T et al (2013) Exploring TCGA Pan-Cancer data at the UCSC cancer genomics browser. Sci Rep 3(2652):1–6Google Scholar
- 8.Duda RO, Hart PE (1973) Pattern classification and scene analysis. Wiley, HobokenGoogle Scholar
- 11.Huang T, Cai YD (2013) An information-theoretic machine learning approach to expression QTL analysis. PLoS One 8(6):1–9Google Scholar
- 15.Li J, Liu Y, Wang C et al (2015) Serum miRNA expression profile as a prognostic biomarker of stage II/III colorectal adenocarcinoma. Sci Rep 5(12921). https://doi.org/10.1038/srep12921