ArticleCancer cell international2019
Eleven genes associated with progression and prognosis of endometrial cancer (EC) identified by comprehensive bioinformatics analysis.
Article in Cancer cell international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
54 citing papers in PubMed, 104 citations in OpenAlex.
- Integrated multi-omics identifies macrophage ARG1-mediated deacetylation with causal and diagnostic implications in ischemic stroke.iScience · 2026Article
- Integrating transcriptomics and hybrid machine learning enables high-accuracy diagnostic modeling for nasopharyngeal carcinoma.Discover oncology · 2025Article
- Identification and validation of the important role of KIF11 in the development and progression of endometrial cancer.Journal of translational medicine · 2025Article
- Cuproptosis genes in predicting the occurrence of allergic rhinitis and pharmacological treatment.PloS one · 2025Article
- Identification and validation of a novel prognostic signature and key genes related to development of anaplastic thyroid carcinoma.Discover oncology · 2024Article
- Using clusterProfiler to characterize multiomics data.Nature protocols · 2024Review
- Identification of neutrophil extracellular trap-related biomarkers in non-alcoholic fatty liver disease through machine learning and single-cell analysis.Scientific reports · 2024Article
- Revealing the pathogenesis of gastric intestinal metaplasia based on the mucosoid air-liquid interface.Journal of translational medicine · 2024Article
- HIF‑1 and macrophage activation signalling pathways are potential biomarkers of invasive aspergillosis.Experimental and therapeutic medicine · 2024Article
- The Prognostic Hub Gene POLE2 Promotes BLCA Cell Growth via the PI3K/AKT Signaling Pathway.Combinatorial chemistry & high throughput screening · 2024Article
- Identification of programmed cell death-related genes and diagnostic biomarkers in endometriosis using a machine learning and Mendelian randomization approach.Frontiers in endocrinology · 2024Article
- Decoding the mitochondrial connection: development and validation of biomarkers for classifying and treating systemic lupus erythematosus through bioinformatics and machine learning.BMC rheumatology · 2023Article
- Renal interferon-inducible protein 16 expression is associated with disease activity and prognosis in lupus nephritis.Arthritis research & therapy · 2023Article
- Identification of Protein Complexes by Integrating Protein Abundance and Interaction Features Using a Deep Learning Strategy.International journal of molecular sciences · 2023Article
- Article
- Diagnostic, clustering, and immune cell infiltration analysis of m6A regulators in patients with sepsis.Scientific reports · 2023Article
- Cell division cycle associated 8 promotes the growth and inhibits the apoptosis of endometrial cancer cells by regulating cell cycle and P53/Rb signaling pathway.American journal of translational research · 2023Article
- Heterogeneity and potential therapeutic insights for triple-negative breast cancer based on metabolic-associated molecular subtypes and genomic mutations.Frontiers in pharmacology · 2023Article
- Identification of NETs-related biomarkers and molecular clusters in systemic lupus erythematosus.Frontiers in immunology · 2023Article
- Study on the role and pharmacology of cuproptosis in gastric cancer.Frontiers in oncology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEndometrial cancer (EC) is one of the female malignant tumors. Endometrial cancer predominately affects post-menopausal women. Bioinformatics analysis has been widely applied to screen and analyze genes in linkage to various types of cancer progression.
methodsDownload the gene expression profile from Gene Expression Omnibus (GEO). Calculate raw expression data according to pre-processing procedures. We performed the "limma" R language package to screen DEGs between Endometrial cancer tissue samples and normal uterus tissue samples. Enrichment of the functions and pathways was analyzed by using clusterprofiler. We utilized Search Tool for the Retrieval of Interacting Genes Database (STRING) to assess protein-protein interaction (PPI) information, and then we used plug-in Molecular Complex Detection (MCODE) to screen hub modules of PPI network in Cytoscape. We also performed functional analysis on the genes in the hub module by using clusterprofiler. Next, we utilized the "WGCNA" package in R to establish co-expression network for the DEGs. The Venn diagram was performed to overlap the gene in key module and hub PPI cluster. We validated the key genes in TCGA, GEPIA, UALCAN and Immunohistochemistry staining obtained from The Human Protein Atlas database. And then we did ROC curve analysis by SPSS. Gene set enrichment analysis (GSEA) and mutation analysis were also performed for hub genes.
resultsFunctional and pathway enrichment analysis demonstrated that the upregulated differentially expressed genes (DEGs) were significantly enriched in CXCR chemokine receptor binding, chemokine activity, chemokine receptor binding, G-protein coupled receptor binding, RAGE receptor binding, cytokine activity, microtubule binding, receptor regulator activity and microtubule motor activity, and the down-regulated genes were highly enriched in collagen binding. After using STRING software to construct PPI network, 30 prominent proteins were identified and the first two significant modules were selected. In co-expression network, 5 EC-related modules were identified. Among them, the turquoise module has the highest correlation with the EC. We further analyzed the genes in the PPI and turquoise module, and selected eleven key genes related to EC after validation of TCGA database, GEPIA, UALCAN and immunohistochemistry. Six of them had mutation significance.
conclusionsIn summary, these 11 genes may become new therapy targets for EC treatment.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.