Volume 13, Issue 10 (December 2019)                   Qom Univ Med Sci J 2019, 13(10): 53-71 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Sadeghi P, Zarei A, Sadeghi M. Meta-Analysis of Cervical Cancer Transcriptome with a Network Approach to Identify Key Genes in the Disease. Qom Univ Med Sci J 2019; 13 (10) :53-71
URL: http://journal.muq.ac.ir/article-1-2641-en.html
1- Department of Biology, Faculty of Basic Science, University of Qom
2- Department of Cellular & Molecular Biology, Faculty of Basic Science, Semnan University
3- Department of Cellular & Molecular Biology, Faculty of Basic Science, Semnan University , mehdisadeghi@semnan.ac.ir
Abstract:   (4102 Views)
Background and Objectives: Cervical cancer is one of the most prevalent cancers among women. Accurate diagnosis and treatment of complex diseases require precise identification of molecular characteristics of the disease. Transcriptome profiles provide valuable information on gene expression of the studied cells. Applying meta-analysis approache along with network-based approaches provides precise and valuable information about studied data, which can be used in developing new diagnostic and therapeutic methods. The aim of this study was meta-analysis investigation of cervical cancer transcriptome using a network approach in order to identify key genes in the disease.
 
Methods: In the current study, three data-sets including 189 cervical cancer samples, were selected for cervical cancer. The data sets were analyzed separately and the results were integrated to obtain genes with the same expression pattern. These genes were used to construct gene regulatory network by STRING database. Network parameters (including degree and betweenness centrality), were used to explore key elements in the network, which are generalizable to cervical cancer.
 
Results: In this study, 194 genes with same expression pattern, were identified in the three data-sets. Moreover, the obtained network analysis led to identification of 12 key genes in the gene expression regulatory network. Some of these genes have been previously reported as oncogenes and are involved in cell cycle regulation and DNA repair pathways.
 
Conclusion: According to the results of this study, these genes can be considered as the potential diagnostic and therapeutic markers for the treatment of cervical cancer.
Full-Text [PDF 1269 kb]   (1180 Downloads)    
Type of Study: Original Article | Subject: علوم پایه
Received: 2019/10/28 | Accepted: 2019/12/14 | Published: 2019/12/1

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Qom University of Medical Sciences Journal

Designed & Developed by : Yektaweb