ArticleWorld journal of surgical oncology2021
Determination of a six-gene prognostic model for cervical cancer based on WGCNA combined with LASSO and Cox-PH analysis.
Article in World journal of surgical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association of three micro-RNA gene polymorphisms with the risk of cervical cancer: a meta-analysis and systematic review.World journal of surgical oncology · 2021Pooled it
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- Assessing the prognosis mortality in patients with cutaneous verrucous carcinoma using Lasso-cox regression model: a retrospective study.Discover oncology · 2025Article
- Construction and validation of a prognostic signature using WGCNA-identified key genes in osteosarcoma for treatment evaluation.Translational cancer research · 2025Article
- The role of ANLN in malignant tumors: pathogenesis, treatment resistance and targeted strategies.Frontiers in cell and developmental biology · 2025Review
- Comprehensive bioinformatics and machine learning analyses for breast cancer staging using TCGA dataset.Briefings in bioinformatics · 2024Article
- CuPCA: a web server for pan-cancer association analysis of large-scale cuproptosis-related genes.Database : the journal of biological databases and curation · 2024Article
- Weighted gene co-expression network analysis for hub genes in colorectal cancer.Pharmacological reports : PR · 2024Article
- Identification of ribosome biogenesis genes and subgroups in ischaemic stroke.Frontiers in immunology · 2024Article
- Uncover DNA damage and repair-related gene signature and risk score model for glioma.Annals of medicine · 2023Article
- Article
- Identification and Validation a Necroptosis-Related Prognostic Signature in Cervical Cancer.Reproductive sciences (Thousand Oaks, Calif.) · 2023Article
- Association of Glycosylation-Related Genes with Different Patterns of Immune Profiles and Prognosis in Cervical Cancer.Journal of personalized medicine · 2023Article
- Network models of protein phosphorylation, acetylation, and ubiquitination connect metabolic and cell signaling pathways in lung cancer.PLoS computational biology · 2023Article
- Review
- High Expression of Heterogeneous Nuclear Ribonucleoprotein A1 Facilitates Hepatocellular Carcinoma Growth.Journal of hepatocellular carcinoma · 2023Article
- Single-Cell Analyses Reveal Necroptosis's Potential Role in Neuron Degeneration and Show Enhanced Neuron-Immune Cell Interaction in Parkinson's Disease Progression.Parkinson's disease · 2023Article
- 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 and validation of necroptosis-related prognostic gene signature and tumor immune microenvironment infiltration characterization in esophageal carcinoma.BMC gastroenterology · 2022Article
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7 authors.
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Abstract
aimThis study aimed to establish a risk model of hub genes to evaluate the prognosis of patients with cervical cancer.
methodsBased on TCGA and GTEx databases, the differentially expressed genes (DEGs) were screened and then analyzed using GO and KEGG analyses. The weighted gene co-expression network (WGCNA) was then used to perform modular analysis of DEGs. Univariate Cox regression analysis combined with LASSO and Cox-pH was used to select the prognostic genes. Then, multivariate Cox regression analysis was used to screen the hub genes. The risk model was established based on hub genes and evaluated by risk curve, survival state, Kaplan-Meier curve, and receiver operating characteristic (ROC) curve.
resultsWe screened 1265 DEGs between cervical cancer and normal samples, of which 620 were downregulated and 645 were upregulated. GO and KEGG analyses revealed that most of the upregulated genes were related to the metastasis of cancer cells, while the downregulated genes mostly acted on the cell cycle. Then, WGCNA mined six modules (red, blue, green, brown, yellow, and gray), and the brown module with the most DEGs and related to multiple cancers was selected for the follow-up study. Eight genes were identified by univariate Cox regression analysis combined with the LASSO Cox-pH model. Then, six hub genes (SLC25A5, ENO1, ANLN, RIBC2, PTTG1, and MCM5) were screened by multivariate Cox regression analysis, and SLC25A5, ANLN, RIBC2, and PTTG1 could be used as independent prognostic factors. Finally, we determined that the risk model established by the six hub genes was effective and stable.
conclusionsThis study supplies the prognostic value of the risk model and the new promising targets for the cervical cancer treatment, and their biological functions need to be further explored.
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