ArticleBioMed research international2020
Identification of Core Prognosis-Related Candidate Genes in Cervical Cancer via Integrated Bioinformatical Analysis.
Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Genes associated with epithelial mesenchymal transition (EMT) in cervical cancer progression.Discover oncology · 2025Article
- Identification of Crucial Genes and Signaling Pathways in Alectinib-Resistant Lung Adenocarcinoma Using Bioinformatic Analysis.Molecular biotechnology · 2024Article
- Network-based drug repurposing for HPV-associated cervical cancer.Computational and structural biotechnology journal · 2023Article
- 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
- Prospero homeobox 1 promotes proliferation, migration, and invasion of osteosarcoma cells and its clinical significance.Bioengineered · 2022Article
- Identification of Key Pathways and Establishment of a Seven-Gene Prognostic Signature in Cervical Cancer.Journal of oncology · 2022Article
- Whole-exome sequencing of rectal cancer identifies locally recurrent mutations in the Wnt pathway.Aging · 2021Article
- Paeonol prevents migration and invasion, and promotes apoptosis of cervical cancer cells by inhibiting 5‑lipoxygenase.Molecular medicine reports · 2021Article
- Translational changes induced by acute sleep deprivation uncovered by TRAP-Seq.Molecular brain · 2020Article
- Identification of Core Genes Involved in the Progression of Cervical Cancer Using an Integrative mRNA Analysis.International journal of molecular sciences · 2020Article
- Identification of Core Prognosis-Related Candidate Genes in Chinese Gastric Cancer Population Based on Integrated Bioinformatics.BioMed research international · 2020Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposesCervical cancer (CC) is one of the highest frequently occurred malignant gynecological tumors with high rates of morbidity and mortality. Here, we aimed to identify significant genes associated with poor outcome.
resultsThe mRNA expression profile datasets of GSE63514, GSE27678, and GSE6791 were downloaded from the Gene Expression Omnibus database (GEO). In total, 76 CC tissues and 35 normal tissues were collected in the three profile datasets. There were totally 73 consistently expressed genes in the three datasets, including 65 up-regulated genes and 8 down-regulated genes. Of PPI network analyzed by Molecular Complex Detection (MCODE) plug-in, all 65 up-regulated genes and 4 down-regulated genes were selected. The results of the Kaplan-Meier survival analysis showed that 3 of the 65 up-regulated genes had a significantly worse prognosis, while 3 of the 4 down-regulated genes had a significantly better outcome. For validation in GEPIA, 4 of 6 genes (PLOD2, ANLN, AURKA, and AR) were confirmed to be significantly deregulated in CC tissues compared to normal tissues.
conclusionWe have identified three up-regulated (PLOD2, ANLN, and AURKA) and a down-regulated DEGs (AR) with poor prognosis in CC on the basis of integrated bioinformatical methods, which could be regarded as potential therapeutic targets for CC patients.
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