ArticleAnnals of translational medicine2021
Identification of potential biomarkers in ovarian carcinoma and an evaluation of their prognostic value.
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 12 papers.
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Who cites it
12 citing papers in PubMed, 50 citations in OpenAlex.
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- The prognostic and neuroendocrine implications of SLC25A29-mediated biomass signature in prostate cancer.GeroScience · 2025Article
- lncRNA WAC-AS1 promotes the progression of gastric cancer through miR-204-5p/HOXC8 axis.Translational oncology · 2024Article
- Enhancing genetic association power in endometriosis through unsupervised clustering of clinical subtypes identified from electronic health records.Research square · 2024Article
- HOXB2 promotes cisplatin resistance by upregulating lncRNA DANCR in ovarian cancer.Journal of ovarian research · 2024Article
- A novel lipid metabolism-based risk model associated with immunosuppressive mechanisms in diffuse large B-cell lymphoma.Lipids in health and disease · 2024Article
- Identification and validation of a prognostic model based on immune-related genes in ovarian carcinoma.PeerJ · 2024Article
- LncRNA WAC-AS1 promotes osteosarcoma Metastasis and stemness by sponging miR-5047 to upregulate SOX2.Biology direct · 2023Article
- LncRNA WAC-AS1 expression in human tumors correlates with immune infiltration and affects prognosis.Hereditas · 2023Article
- A signature based on anoikis-related genes for the evaluation of prognosis, immunoinfiltration, mutation, and therapeutic response in ovarian cancer.Frontiers in endocrinology · 2023Article
- SMU1 Knockdown Suppresses Gastric Carcinoma Growth, Migration, and Invasion and Modulates the Cell Cycle.Cancer control : journal of the Moffitt Cancer CenterArticle
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOvarian cancer is one of the most common malignant tumors in female genital organs, and its incidence rate is high. However, the pathogenesis and prognostic markers of ovarian cancer are unclear. This study sought to screen potential markers of ovarian cancer and to explore their prognostic value.
methodsThe Cancer Genome Atlas, Gene Expression Omnibus, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes databases were used in this study. The least absolute shrinkage and selection operator (LASSO), multivariate Cox regression and stepwise regression analysis were chosen to screen genes and construct risk model. Gene Set Enrichment Analysis (GSEA) and an immune-infiltration analysis were performed.
resultsOne hundred thirty two co-expressed genes were found. They involved in metabolism, protein phosphorylation, mitochondria, and immune signaling pathways. Twelve genes significantly related to the survival of ovarian cancer were identified. Eight risk genes (i.e.,
conclusionsIn ovarian cancer, the abnormal expression of 8 genes, including
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