PCNA in cervical intraepithelial neoplasia and cervical cancer: an interaction network analysis of differentially expressed genes
File(s)
Published version
Author(s)
Type
Journal Article
Abstract
The investigation of differentially expressed genes (DEGs) and their interactome could provide valuable insights for the
development of markers to optimise cervical intraepithelial neoplasia (CIN) screening and treatment. This study investigated
patients with cervical disease to identify gene markers whose dysregulated expression and protein interaction interface were
linked with CIN and cervical cancer (CC). Literature search of microarray datasets containing cervical epithelial samples was
conducted in Gene Expression Omnibus and Pubmed/Medline from inception untill March 2021. Retrieved DEGs were used to
construct two protein-protein interaction (PPI) networks. Module DEGs that overlapped between CIN and CC samples, were ranked
based on 11 topological algorithms. The highest-ranked hub gene was retrieved and its correlation with prognosis, tissue
expression and tumour purity in patients with CC, was evaluated. Screening of the literature yielded 12 microarray datasets
(GSE7803, GSE27678, GSE63514, GSE6791, GSE7803, GSE9750, GSE27678, GSE29570, GSE39001, GSE63514, GSE63678, GSE67522). Two
PPI networks from CIN and CC samples were constructed and consisted of 1704 and 3748 DEGs along 21393 and 79828 interactions,
respectively. Two gene clusters were retreived in the CIN network and three in the CC network. Multi-algorithmic topological
analysis revealed PCNA as the highest ranked hub gene between the two networks, both in terms of expression and interactions.
Further analysis revealed that while PCNA was overexpressed in CC tissues, it was correlated with favourable prognosis (log-rank
P=0.022, HR=0.58) and tumour purity (P=9.86 × 10-4, partial rho=0.197) in CC patients. This study identified that cervical PCNA
exhibited multi-algorithmic topological significance among DEGs from CIN and CC samples. Overall, PCNA may serve as a potential
gene marker of CIN progression. Experimental validation is necessary to examine its value in patients with cervical disease.
development of markers to optimise cervical intraepithelial neoplasia (CIN) screening and treatment. This study investigated
patients with cervical disease to identify gene markers whose dysregulated expression and protein interaction interface were
linked with CIN and cervical cancer (CC). Literature search of microarray datasets containing cervical epithelial samples was
conducted in Gene Expression Omnibus and Pubmed/Medline from inception untill March 2021. Retrieved DEGs were used to
construct two protein-protein interaction (PPI) networks. Module DEGs that overlapped between CIN and CC samples, were ranked
based on 11 topological algorithms. The highest-ranked hub gene was retrieved and its correlation with prognosis, tissue
expression and tumour purity in patients with CC, was evaluated. Screening of the literature yielded 12 microarray datasets
(GSE7803, GSE27678, GSE63514, GSE6791, GSE7803, GSE9750, GSE27678, GSE29570, GSE39001, GSE63514, GSE63678, GSE67522). Two
PPI networks from CIN and CC samples were constructed and consisted of 1704 and 3748 DEGs along 21393 and 79828 interactions,
respectively. Two gene clusters were retreived in the CIN network and three in the CC network. Multi-algorithmic topological
analysis revealed PCNA as the highest ranked hub gene between the two networks, both in terms of expression and interactions.
Further analysis revealed that while PCNA was overexpressed in CC tissues, it was correlated with favourable prognosis (log-rank
P=0.022, HR=0.58) and tumour purity (P=9.86 × 10-4, partial rho=0.197) in CC patients. This study identified that cervical PCNA
exhibited multi-algorithmic topological significance among DEGs from CIN and CC samples. Overall, PCNA may serve as a potential
gene marker of CIN progression. Experimental validation is necessary to examine its value in patients with cervical disease.
Date Issued
2021-11
Date Acceptance
2021-10-28
Citation
Frontiers in Oncology, 2021, 11, pp.1-8
ISSN
2234-943X
Publisher
Frontiers Media
Start Page
1
End Page
8
Journal / Book Title
Frontiers in Oncology
Volume
11
Copyright Statement
© 2021 Giannos, Kechagias, Bowden, Tabassum, Paraskevaidi and Kyrgiou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
License URL
Identifier
https://www.frontiersin.org/articles/10.3389/fonc.2021.779042/full
Subjects
CIN
cervical cancer
cervical disease
cervical intraepithelial neoplasia
gene biomarkers
1112 Oncology and Carcinogenesis
Publication Status
Published
Article Number
779042
Date Publish Online
2021-11-26