The evaluation of proliferative activity in CIN III and microinvasive cervical cancer and its role in recurrence

Tjalma, Wiebren; Weyler, Joost; Pollefliet, C.; Bogers, Johannes; Marck, Eric Van; Dam, Peter van; Buytaert, Ph.

doi:10.1016/s0301-2115(00)00333-x

Cited by 5 publications

(2 citation statements)

References 23 publications

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“…MCM2 has been recognized as a classical marker of proliferation and a component of the pre-DNA replication complex that is overexpressed in cancers (15). Many studies have been directed mainly to the analysis of biomarkers involving precancerous lesions but only few studies have been performed to demonstrate the prognostic implications of MCM2 expression in the progression of invasive cervical cancer.…”

Section: Discussionmentioning

confidence: 99%

Correlation of MCM2 Detection with Stage and Virology of Cervical Cancer

Amaro-Filho

Nuovo

Cunha³

et al. 2014

Int J Biol Markers

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Section: Discussionmentioning

confidence: 99%

Correlation of MCM2 Detection with Stage and Virology of Cervical Cancer

Amaro-Filho

Nuovo

Cunha³

et al. 2014

Int J Biol Markers

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“…In spite of being a strong marker of cell proliferation and CIN progression, the prognostic value of PCNA in CC has not been systematically studied and remains a matter of considerable debate (45,(48)(49)(50). While PCNA expression did not exhibit prognostic value in two reports by Branca et al and Costa et al, another study which included 111 CC patients demonstrated association between its overexpression and decreased survival (32,45,51).…”

Section: Findings In the Context Of The Literaturementioning

confidence: 99%

PCNA in Cervical Intraepithelial Neoplasia and Cervical Cancer: An Interaction Network Analysis of Differentially Expressed Genes

et al. 2021

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The investigation of differentially expressed genes (DEGs) and their interactome could provide valuable insights for the development of markers to optimize 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 until 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 tumor purity in patients with CC, was evaluated. Screening of the literature yielded 9 microarray datasets (GSE7803, GSE27678, GSE63514, GSE6791, GSE9750, GSE29570, GSE39001, 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 retrieved 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 favorable prognosis (log-rank P=0.022, HR=0.58) and tumor 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.

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