MicroRNA and transcription factor gene regulatory network analysis reveals key regulatory elements associated with prostate cancer progression

Sadeghi, Mehdi, Ranjbar, Bijan, Ganjalikhany, Mohamad Reza, Khan, Faiz M., Schmitz, Ulf, Wolkenhauer, Olaf, and Gupta, Shailendra K. (2016) MicroRNA and transcription factor gene regulatory network analysis reveals key regulatory elements associated with prostate cancer progression. PLoS ONE, 11 (12). e0168760.

[img]
Preview
PDF (Published Version) - Published Version
Available under License Creative Commons Attribution.

Download (3MB) | Preview
View at Publisher Website: https://doi.org/10.1371/journal.pone.016...
 
37
601


Abstract

Technological and methodological advances in multi-omics data generation and integration approaches help elucidate genetic features of complex biological traits and diseases such as prostate cancer. Due to its heterogeneity, the identification of key functional components involved in the regulation and progression of prostate cancer is a methodological challenge. In this study, we identified key regulatory interactions responsible for primary to metastasis transitions in prostate cancer using network inference approaches by integrating patient derived transcriptomic and miRomics data into gene/miRNA/transcription factor regulatory networks. One such network was derived for each of the clinical states of prostate cancer based on differentially expressed and significantly correlated gene, miRNA and TF pairs from the patient data. We identified key elements of each network using a network analysis approach and validated our results using patient survival analysis. We observed that HOXD10, BCL2 and PGR are the most important factors affected in primary prostate samples, whereas, in the metastatic state, STAT3, JUN and JUNB are playing a central role. Benefiting integrative networks our analysis suggests that some of these molecules were targeted by several overexpressed miRNAs which may have a major effect on the dysregulation of these molecules. For example, in the metastatic tumors five miRNAs (miR-671-5p, miR-665, miR-663, miR-512-3p and miR-371-5p) are mainly responsible for the dysregulation of STAT3 and hence can provide an opportunity for early detection of metastasis and development of alternative therapeutic approaches. Our findings deliver new details on key functional components in prostate cancer progression and provide opportunities for the development of alternative therapeutic approaches.

Item ID: 75301
Item Type: Article (Research - C1)
ISSN: 1932-6203
Copyright Information: © 2016 Sadeghi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Date Deposited: 11 Jul 2022 03:51
FoR Codes: 32 BIOMEDICAL AND CLINICAL SCIENCES > 3211 Oncology and carcinogenesis > 321111 Solid tumours @ 50%
31 BIOLOGICAL SCIENCES > 3102 Bioinformatics and computational biology > 310202 Biological network analysis @ 50%
SEO Codes: 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280103 Expanding knowledge in the biomedical and clinical sciences @ 100%
Downloads: Total: 601
Last 12 Months: 92
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page