ArticleCancer management and research2021
Identification of Hub Genes as Potential Prognostic Biomarkers in Cervical Cancer Using Comprehensive Bioinformatics Analysis and Validation Studies.
Article in Cancer management and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 19 citations in OpenAlex.
- Precision Biomarker Identification in Gynecological Cancers Using Coexpression Networks and Attention-Based LSTM in Healthcare 4.0.Diagnostics (Basel, Switzerland) · 2026Article
- A nomogram model integrating transcriptomics and clinical features for predicting the risk of cervical intraepithelial lesion progression.Frontiers in oncology · 2026Article
- Novel bioinformatic approaches show the role of driver genes in the progression of cervical cancer: An in-silico study.Heliyon · 2024Article
- Identification of druggable hub genes and key pathways associated with cervical cancer by protein-protein interaction analysis: An in silico study.International journal of reproductive biomedicine · 2023Article
- Systematic approach to identify therapeutic targets and functional pathways for the cervical cancer.Journal, genetic engineering & biotechnology · 2023Article
- MCM2 in human cancer: functions, mechanisms, and clinical significance.Molecular medicine (Cambridge, Mass.) · 2022Review
- Metadata analysis to explore hub of the hub-genes highlighting their functions, pathways and regulators for cervical cancer diagnosis and therapies.Discover oncology · 2022Article
- Identification of Novel Genes and Associated Drugs in Cervical Cancer by Bioinformatics Methods.Medical science monitor : international medical journal of experimental and clinical research · 2022Article
- Bioinformatics Screening of Potential Biomarkers from mRNA Expression Profiles to Discover Drug Targets and Agents for Cervical Cancer.International journal of molecular sciences · 2022Article
- Deciphering cervical cancer-associated biomarkers by integrated multi-omics approach.American journal of translational research · 2022Article
- Research Progress of PCNA in Reproductive System Diseases.Evidence-based complementary and alternative medicine : eCAM · 2021Review
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCervical cancer belongs to one of the most common female cancers; yet, the exact underlying mechanisms are still elusive. Recently, microarray and sequencing technologies have been widely used for screening biomarkers and molecular mechanism discovery in cancer studies. In this study, we aimed to analyse the microarray datasets using comprehensive bioinformatics tools and identified novel biomarkers associated with the prognosis of patients with cervical cancer.
methodsThe differentially expressed genes (DEGs) from Gene Expression Omnibus (GEO) datasets including GSE138080, GSE113942 and GSE63514 were analysed using GEO2R tool. The functional enrichment analysis was performed using g:Profiler tool. The protein-protein interaction (PPI) network construction and hub genes identification were performed using the STRING database and Cytoscape software, respectively. The hub genes were subjected to expression and survival analysis in the cervical cancer. The EdU incorporation and Cell Counting Kit-8 assays were performed to evaluate the effects of hub gene knockdown on the proliferation of cervical cancer cells.
resultsA total of 89 overlapping DEGs (63 up-regulated and 26 down-regulated genes) were identified in the microarray datasets. The functional enrichment analysis indicated that the overlapping DEGs were mainly associated with "DNA replication" and "cell cycle". Furthermore, the PPI network analysis revealed that the network contains 87 nodes and 309 edges. Sub-module analysis using the Molecular Complex Detection tool identified 21 hub genes from the PPI network. The expression levels of the 21 hub genes were all up-regulated in the cervical cancer tissues when compared to normal cervical tissues as analysed by GEPIA tool. The survival analysis showed that the low expression of cell division cycle 45 (
conclusionIn conclusion, we screened a total of 89 overlapping DEGs from the GEO datasets, and further analysis identified four hub genes (
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