Research Articles

2018  |  Vol: 4(5)  |  Issue: 5 (September- October)  |  https://doi.org/10.31024/ajpp.2018.4.5.10
Identification of key miRNA biomarkers by miRNA-gene interactions network regulating breast cancer in human

Shailesh Kumar 1*, Sumit Govil 2 , Vikram Kumar 1, Sumita Kachhawah3, S. L. Kothari 1

1Amity Institute of Biotechnology, Amity University Rajasthan, Jaipur, Rajasthan, India.

2School of Life Sciences, Jaipur National University, Jaipur, Rajasthan, India.

3Bioinformatics Infrastructure Facility, University of Rajasthan, Jaipur, India

*Address for Corresponding Author

Shailesh Kumar

Amity Institute of Biotechnology,

Amity University Rajasthan, Jaipur, Rajasthan, India. 303007

Abstract

Objective: The objective of this work is to identify the key miRNA by using interaction network approach, which helps for identification of biomarkers for breast cancer. Material and Methods: The publicly available database is used for interaction studies where the genes associated with somatic and germline cancer is obtained from databases. This gene dataset was used to develop interaction network using miR Target Link tool. These miRNA-genes interactions are classified into strong and weak depending on the number of validated experiments. These miRNA-gene interaction-based network analysis are one of the latest methods which provides in depth understanding of miRNA and RNA interference system in different cancer type. These interaction networks followed by miRNA expression analysis in normal and cancerous breast tissue provides support to our finding for key miRNAs as biomarkers for detection of somatic and germline breast cancer. Results: In this study the miRNA-RNA interaction networks reveals, that miRNA hsa-miR-146a-5p, hsa-miR-15a-5p are key players in germline and hsa-miR-182-5p, hsa-miR-19b-3p, hsa-miR-194-5p, hsa-miR-125b-5p, hsa-miR-375, hsa-miR-100-5p are major contributor somatic breast cancer. These miRNAs may act as potential biomarkers for breast cancer which can identify and differentiate different cancer at initial stages by using specific technique. Conclusion: The role of miRNA in gene regulation is well known and they are used as biomarkers for detection of various diseases. Network based biomarkers identification for a specific cancer can act as a valuable tool for early diagnosis of various cancer types.

Keywords: Interaction networks, somatic, germline, biomarkers, miRTargetLink

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