ArticleBMC women's health2022
Identification of autophagy-related long non-coding RNAs in endometrial cancer via comprehensive bioinformatics analysis.
Article in BMC women's health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 21 citations in OpenAlex.
- Prognostic and immune microenvironment analysis of cuproptosis-related LncRNAs in breast cancer.Functional & integrative genomics · 2023Trial
- Novel transcriptomic alterations in poorly differentiated endometrial carcinomas: evidence from South African women.Frontiers in oncology · 2026Article
- Comparison of Long Non-Coding RNA Expressions in Endometrial Polyp and Endometrial Cancer Cases.Diagnostics (Basel, Switzerland) · 2025Article
- SCENE: Signature Collection for Endometrial Cancer Prognosis.Journal of cellular and molecular medicine · 2025Review
- Predictive Significance of Glycosyltransferase-Related lncRNAs in Endometrial Cancer: A Comprehensive Analysis and Experimental Validation.ACS omega · 2025Article
- A novel disulfidptosis-related LncRNA prognostic risk model: predicts the prognosis, tumor microenvironment and drug sensitivity in esophageal squamous cell carcinoma.BMC gastroenterology · 2024Article
- Long non-coding RNAs in ferroptosis and cuproptosis impact on prognosis and treatment in hepatocellular carcinoma.Clinical and experimental medicine · 2024Article
- A New Cuproptosis-Related lncRNAs Model for Predicting the Prognosis of Hepatitis B Virus-Associated Hepatocellular Carcinoma and Experimental Validation of LINC01269.International journal of general medicine · 2024Article
- Glp-1 Mimetics and Autophagy in Diabetic Milieu: State-of-the-Art.Current diabetes reviews · 2024Review
- Article
- Disulfidptosis-associated LncRNAs index predicts prognosis and chemotherapy drugs sensitivity in cervical cancer.Scientific reports · 2023Article
- Comprehensive analysis of cuproptosis-related lncRNAs in immune infiltration and prognosis in hepatocellular carcinoma.BMC bioinformatics · 2023Article
- A novel signature based on necroptosis-related long non-coding RNAs for predicting prognosis of patients with glioma.Frontiers in oncology · 2022Article
- Landscape of prognosis and immunotherapy responsiveness under tumor glycosylation-related lncRNA patterns in breast cancer.Frontiers in immunology · 2022Article
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2 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundEndometrial cancer is a common gynaecological malignancy with an increasing incidence. It is of great importance and value to uncover its effective and accurate prognostic indicators of disease outcomes.
methodsThe sequencing data and clinical information of endometrial cancer patients in the TCGA database were downloaded, and autophagy-related genes in the human autophagy database were downloaded. R software was used to perform a Pearson correlation analysis on autophagy-related genes and long non-coding RNAs (lncRNAs) to screen autophagy-related lncRNAs. Next, univariate and multivariate Cox regression analyses were performed to select autophagy-related lncRNAs and construct the prognostic model. Finally, the accuracy of the prognostic prediction of the model was evaluated, the lncRNA-mRNA network was constructed and visualized by Cytoscape, and the gene expression profile of endometrial cancer patients was analysed by GSEA.
resultsA total of 10 autophagy-related lncRNAs were screened to construct the prognostic model. The risk factors were AC084117.1, SOS1-IT1, AC019080.5, FIRRE and MCCC1-AS, and the protective factors were AC034236.2, POC1B-AS1, AC137630.1, AC083799.1 and AL133243.2. This prognostic model could independently predict the prognosis of endometrial cancer patients and had better predictive performance than that of using age and tumour grade. In addition, after classifying patients as high-risk or low-risk based on the prognostic model, we found that the enrichment of the JAK-STAT and MAPK pathways was significantly higher in the high-risk group than that in the low-risk group.
conclusionsThe 10 autophagy-related lncRNAs are potential prognostic biomarkers. Compared with using age and tumour grade, this prognostic model is more predictive for the prognosis of endometrial cancer patients.
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