ArticleCancer biomarkers : section A of Disease markers2020
Four genes relevant to pathological grade and prognosis in ovarian cancer.
Article in Cancer biomarkers : section A of Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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17 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
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- MS4A7 based metabolic gene signature as a prognostic predictor in lung adenocarcinoma.Frontiers in molecular biosciences · 2025Article
- Genetic variants for Alzheimer's disease and comorbid conditions.Journal of Alzheimer's disease : JAD · 2024Article
- Immune-related gene methylation prognostic instrument for stratification and targeted treatment of ovarian cancer patients toward advanced 3PM approach.The EPMA journal · 2024Article
- Targeting MS4A4A on tumour-associated macrophages restores CD8+ T-cell-mediated antitumour immunity.Gut · 2023Article
- Screening and Identification of a Prognostic Model of Ovarian Cancer by Combination of Transcriptomic and Proteomic Data.Biomolecules · 2023Article
- Clinical features and shared mechanisms of chronic gastritis and osteoporosis.Scientific reports · 2023Article
- Role of the membrane-spanning 4A gene family in lung adenocarcinoma.Frontiers in genetics · 2023Article
- High Expression of CISD2 in Relation to Adverse Outcome and Abnormal Immune Cell Infiltration in Glioma.Disease markers · 2022Article
- Integrated bioinformatic analysis identifies UBE2Q1 as a potential prognostic marker for high grade serous ovarian cancer.BMC cancer · 2021Article
- A Tumor Progression Related 7-Gene Signature Indicates Prognosis and Tumor Immune Characteristics of Gastric Cancer.Frontiers in oncology · 2021Article
- Tumor-associated macrophage polarization promotes the progression of esophageal carcinoma.Aging · 2020Article
- Data mining of immune-related prognostic genes in metastatic melanoma microenvironment.Bioscience reports · 2020Article
- Targeting of CD163International journal of molecular sciences · 2020Review
- Identification of Key Gene Signatures Associated With Bone Metastasis in Castration-Resistant Prostate Cancer Using Co-Expression Analysis.Frontiers in oncology · 2020Article
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3 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundOvarian cancer is the common tumor in female, the prognostic of which is influenced by a series of factors. In this study, 4 genes relevant to pathological grade in ovarian cancer were screened out by the construction of weighted gene co-expression network analysis.
methodsGSE9891 with 298 ovarian cancer cases had been used to construct co-expression networks. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses was used to analyze the possible mechanism of genes involved in the malignant process of ovarian cancer. Hub genes were validated in other independent datasets, such as GSE63885, GSE26193 and GSE30161. Survival analysis based on the hub genes was performed by website of Kaplan Meier-plotter.
resultsThe result based on weighted gene co-expression network analysis indicated that turquoise module has the highest association with pathological grade. Gene Ontology enrichment analysis revealed that the genes in turquoise module main enrichment in inflammatory response and immune response. Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed that the genes in turquoise module main enrichment in cytokine-cytokine receptor interaction and chemokine signaling pathway. In turquoise module, a total of 4 hub genes (MS4A4A, CD163, CPR65, MS4A6A) were identified. Then, 4 hub genes were effectively verified in the test datasets (GSE63885, GSE26193 and GSE30161) and tissue samples from Shengjing Hospital of China Medical University. Survival analysis indicated that the 4 hub genes were associated with poor progression-free survival of ovarian cancer.
conclusionsIn conclusion, 4 hub genes (MS4A4A, CD163, CPR65, MS4A6A) were verified associated with pathological grade of ovarian cancer. Moreover, MS4A4A, CD163, MS4A6A may serve as a surface marker for M2 macrophages. Targeting the 4 hub genes may can improve the prognosis of ovarian cancer.
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