Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
The Dysregulation of Microarray Gene Expression in Cervical Cancer Is Associated With Overexpression of a Unique Messenger Rna Signature



Mousavi SZ1 ; Poortahmasebi V2, 3 ; Mokhtariazad T1 ; Shahmahmoodi S1 ; Farahmand M1 ; Farzanehpour M1 ; Jalilvand S1
Authors
Show Affiliations
Authors Affiliations
  1. 1. Department of Virology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Infectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
  3. 3. Department of Bacteriology and Virology, School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran

Source: Iranian Journal of Microbiology Published:2020

Abstract

Background and Objectives: Human papillomavirus (HPV) is the fourth most common cause of cervical cancer (CC). The aim of the present study was to investigate gene expression levels of previously identified transcriptional signatures for malignant and non-malignant CC. Materials and Methods: To validate of previously analyzed microarray gene expression data, we selected two hub genes (CDK1 and PLK1) and four differentially expressed mRNAs that were common in pre-malignant-normal and malig-nant-pre-malignant networks (SMS, NNT, UHMK1 and DEPDC1). To this purpose, the study included women diagnosed histologically with malignant CC (n=15), pre-malignant (n=15), and normal subjects (n=15). The expression of six host genes and viral E6/E7 genes were measured by quantitative Real-Time PCR. Results: The results showed higher expression of CDK1/PLK1 hub genes and SMS, NNT and UHMK1 genes in malignant CC group than non-malignant CC group and normal group. A positive correlation was observed between gene expression of viral E6/E7 oncogenes and UHMK1 gene. Conclusion: Dysregulation of several mRNA signatures are a common feature of CC and can be potentially used as diagnos-tic and prognostic biomarkers as well as can be applied to therapeutic targets for CC treatment. © 2020, Tehran University of Medical Sciences. All rights reserved.