Preprint / Version 1

MicroRNA Gene Regulatory Network Biomarker Analysis in Prostate Cancer


  • Nadya Natasha
  • Arli Aditya Parikesit Indonesia International Institute for Life Sciences


prostate cancer, microRNA, gene regulatory network, biomarker, bioinformatics


         Cancer is one of the cardinal causes of mortality in humans. The mutation is the one who is responsible for the change of gene function and activity that cause disease like cancer. Comprehension on gene regulatory network is a feasible approach to understand the complexity of biology and unrevealing the reconnection between genes and what it is responsible for. This paper discusses prostate cancer analysis using the microRNA gene regulatory network to understand the interaction and function of the gene responsible. MicroRNA are extensively regulated gene expression with the strong inclination as biomarkers for cancer diagnosis, prognosis, and therapy. Some possible candidates for microRNA prostate cancer biomarker are miR-145-5p, miR-204-5p, and miR-648. However further analysis and technologies is needed to reduce the conflict between each data.


Afshar, A. S., Xu, J., & Goutsias, J. (2014). Integrative identification of deregulated miRNA/TF-mediated gene regulatory loops and networks in prostate cancer. PloS one, 9(6), e100806.

Bolouri, H. (2008). Computational Modeling of Gene Regulatory Networks â A Primer. World Scientific Publishing Company.

Chai, L. E., Loh, S. K., Low, S. T., Mohamad, M. S., Deris, S., & Zakaria, Z. (2014). A review on the computational approaches for gene regulatory network construction. Computers in biology and medicine, 48, 55-65.

Chen, Z. H., Zhang, G. L., Li, H. R., Luo, J. D., Li, Z. X., Chen, G. M., & Yang, J. (2012). A panel of five circulating microRNAs as potential biomarkers for prostate cancer. The Prostate, 72(13), 1443-1452.

Cholley, P. E., Moehlin, J., Rohmer, A., Zilliox, V., Nicaise, S., Gronemeyer, H., & Mendoza-Parra, M. A. (2018). Modeling gene-regulatory networks to describe cell fate transitions and predict master regulators. NPJ Systems Biology and Applications, 4(1), 1-5.

García-Calvo, R., Guisado, J. L., Diaz-del-Rio, F., Córdoba, A., & Jiménez-Morales, F. (2018). Graphics Processing Unit–enhanced genetic algorithms for solving the temporal dynamics of gene regulatory networks. Evolutionary Bioinformatics, 14, 1176934318767889.

Huang, J., Sun, Z., Yan, W., Zhu, Y., Lin, Y., Chen, J., ... & Wang, J. (2014). Identification of microRNA as sepsis biomarker based on miRNAs regulatory network analysis. BioMed research international, 2014.

Karlebach, G., & Shamir, R. (2008). Modelling and analysis of gene regulatory networks. Nature Reviews Molecular Cell Biology, 9(10), 770-780.

Lin, Y., Chen, F., Shen, L., Tang, X., Du, C., Sun, Z., Ding, H., Chen, J., & Shen, B. (2018). Biomarker microRNAs for prostate cancer metastasis: screened with a network vulnerability analysis model. Journal of translational medicine, 16(1), 134.

Moltzahn, F., Olshen, A. B., Baehner, L., Peek, A., Fong, L., Stöppler, H., ... & Blelloch, R. (2011). Microfluidic-based multiplex qRT-PCR identifies diagnostic and prognostic microRNA signatures in the sera of prostate cancer patients. Cancer research, 71(2), 550-560.

Sanchez-Osorio, I., Ramos, F., Mayorga, P., & Dantan, E. (2014). Foundations for modeling the dynamics of gene regulatory networks: a multilevel-perspective review. Journal of bioinformatics and computational biology, 12(01), 1330003.

Selth, L. A., Townley, S., Gillis, J. L., Ochnik, A. M., Murti, K., Macfarlane, R. J., ... & Butler, L. M. (2012). Discovery of circulating microRNAs associated with human prostate cancer using a mouse model of disease. International Journal of Cancer, 131(3), 652-661.

Sita-Lumsden, A., Dart, D. A., Waxman, J., & Bevan, C. L. (2013). Circulating microRNAs as potential new biomarkers for prostate cancer. British journal of cancer, 108(10), 1925-1930.

Wen, X., Deng, F. M., & Wang, J. (2014). MicroRNAs as predictive biomarkers and therapeutic targets in prostate cancer. American journal of clinical and experimental urology, 2(3), 219.

Zhang, W., Zang, J., Jing, X., Sun, Z., Yan, W., Yang, D., Shen, B., & Guo, F. (2014). Identification of candidate miRNA biomarkers from miRNA regulatory network with application to prostate cancer. Journal of translational medicine, 12, 66.