ArticleTechnology in cancer research & treatment2018
Identification of Significant Gene Signatures and Prognostic Biomarkers for Patients With Cervical Cancer by Integrated Bioinformatic Methods.
Article in Technology in cancer research & treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 36 citations in OpenAlex.
- 3D Printing for Cancer Diagnosis: What Unique Advantages Are Gained?ACS materials Au · 2023Review
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- Transcriptional factor 3 binds to sirtuin 1 to activate the Wnt/β-catenin signaling in cervical cancer.Bioengineered · 2022Article
- Identifying a cervical cancer survival signature based on mRNA expression and genome-wide copy number variations.Experimental biology and medicine (Maywood, N.J.) · 2022Article
- Mammalian Resilience Revealed by a Comparison of Human Diseases and Mouse Models Associated With DNA Helicase Deficiencies.Frontiers in molecular biosciences · 2022Review
- Analysis of Nuclear Encoded Mitochondrial Gene Networks in Cervical Cancer.Asian Pacific journal of cancer prevention : APJCP · 2021Article
- Integrative Systems Biology Approaches to Identify Potential Biomarkers and Pathways of Cervical Cancer.Journal of personalized medicine · 2021Article
- Research Progress of PCNA in Reproductive System Diseases.Evidence-based complementary and alternative medicine : eCAM · 2021Review
- PCNA in Cervical Intraepithelial Neoplasia and Cervical Cancer: An Interaction Network Analysis of Differentially Expressed Genes.Frontiers in oncology · 2021Article
- Identification of an autophagy-related gene signature for survival prediction in patients with cervical cancer.Journal of ovarian research · 2020Article
- A prognostic nomogram integrating novel biomarkers identified by machine learning for cervical squamous cell carcinoma.Journal of translational medicine · 2020Article
- Minichromosome Maintenance Complex (MCM) Genes Profiling and MCM2 Protein Expression in Cervical Cancer Development.Asian Pacific journal of cancer prevention : APJCP · 2019Article
- Proteomic Screening for Serum Biomarkers for Cervical Cancer and Their Clinical Significance.Medical science monitor : international medical journal of experimental and clinical research · 2019Article
- Epithelial RNase H2 Maintains Genome Integrity and Prevents Intestinal Tumorigenesis in Mice.Gastroenterology · 2019Article
- Identification of key candidate genes and small molecule drugs in cervical cancer by bioinformatics strategy.Cancer management and research · 2018Article
- A Comprehensive RNA Expression Signature for Cervical Squamous Cell Carcinoma Prognosis.Frontiers in genetics · 2018Article
- A multiple genomic data fused SF2 prediction model, signature identification, and gene regulatory network inference for personalized radiotherapy.Technology in cancer research & treatmentArticle
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cervical cancer is the leading cause of death with gynecological malignancies. We aimed to explore the molecular mechanism of carcinogenesis and biomarkers for cervical cancer by integrated bioinformatic analysis. We employed RNA-sequencing details of 254 cervical squamous cell carcinomas and 3 normal samples from The Cancer Genome Atlas. To explore the distinct pathways, messenger RNA expression was submitted to a Gene Set Enrichment Analysis. Kyoto Encyclopedia of Genes and Genomes and protein-protein interaction network analysis of differentially expressed genes were performed. Then, we conducted pathway enrichment analysis for modules acquired in protein-protein interaction analysis and obtained a list of pathways in every module. After intersecting the results from the 3 approaches, we evaluated the survival rates of both mutual pathways and genes in the pathway, and 5 survival-related genes were obtained. Finally, Cox hazards ratio analysis of these 5 genes was performed. DNA replication pathway ( P < .001; 12 genes included) was suggested to have the strongest association with the prognosis of cervical squamous cancer. In total, 5 of the 12 genes, namely, minichromosome maintenance 2, minichromosome maintenance 4, minichromosome maintenance 5, proliferating cell nuclear antigen, and ribonuclease H2 subunit A were significantly correlated with survival. Minichromosome maintenance 5 was shown as an independent prognostic biomarker for patients with cervical cancer. This study identified a distinct pathway (DNA replication). Five genes which may be prognostic biomarkers and minichromosome maintenance 5 were identified as independent prognostic biomarkers for patients with cervical cancer.
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