ArticleAnnals of translational medicine2021
Screening and prognostic value of potential biomarkers for ovarian cancer.
Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 22 citations in OpenAlex.
- CUL4A-DDB1-DCAF10 is an N-recognin for N-terminally acetylated Src kinases.Nature communications · 2026Article
- Identification of novel biomarkers for epithelial ovarian cancer through machine learning and explainable artificial intelligence using in silico and in vitro analysis.Scientific reports · 2025Article
- RNA Sequencing Identifies Novel Signaling Pathways and Potential Drug Target Genes Induced by FOSL1 in Glioma Progression and Stemness.Biologics : targets & therapy · 2025Article
- Significance ofFrontiers in pharmacology · 2025Article
- The role and prognostic value of PANoptosis-related genes in skin cutaneous melanoma.Frontiers in immunology · 2025Article
- Novel protein-based prognostic signature linked to immunotherapeutic efficiency in ovarian cancer.Journal of ovarian research · 2024Article
- Combined aqupla, paclitaxel liposome, and docetaxel treatment: survival and biomarker outcomes in recurrent ovarian cancer patients.Frontiers in oncology · 2024Article
- Developments in Genetics: Better Management of Ovarian Cancer Patients.International journal of molecular sciences · 2023Review
- A novel stratification framework based on anoikis-related genes for predicting the prognosis in patients with osteosarcoma.Frontiers in immunology · 2023Article
- PTPN2 in the Immunity and Tumor Immunotherapy: A Concise Review.International journal of molecular sciences · 2022Review
- Genome-wide evaluation of copy gain and loss variations in three Afghan sheep breeds.Scientific reports · 2022Article
- Protein expression profiling identifies a prognostic model for ovarian cancer.BMC women's health · 2022Article
- Glycosylation-Related Genes Predict the Prognosis and Immune Fraction of Ovarian Cancer Patients Based on Weighted Gene Coexpression Network Analysis (WGCNA) and Machine Learning.Oxidative medicine and cellular longevity · 2022Article
- Role of adaptin protein complexes in intracellular trafficking and their impact on diseases.Bioengineered · 2021Article
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Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOvarian cancer is a common gynecological malignant tumor that greatly threatens women's health, so we screened potential biomarkers of ovarian cancer and analyzed their prognostic value.
methodsThe Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets were used to analyze the ovarian cancer-related genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to analyze the function of ovarian cancer-related genes. The survival-related genes were screened out through the least absolute shrinkage and selection operator (LASSO) method. Multivariate Cox regression model and stepwise regression analysis were performed to construct the risk model. The receiver operating characteristic (ROC) and the area under the ROC curve (AUC) were used to evaluate the prediction accuracy of risk score model. Finally, gene set enrichment analysis (GSEA) and immune cell infiltration analysis were performed to investigate the biological function and immune cell infiltration.
resultsA total of 111 genes were found to have common effects on survival. These genes were mainly involved in metabolism, protein phosphorylation and immune-related signaling pathways. Seven risk genes (
conclusionsThe abnormal expression of
Indexed as
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