ArticleBMC cancer2020
An integrated autophagy-related gene signature predicts prognosis in human endometrial Cancer.
Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 25 citations in OpenAlex.
- Identification and Verification of Anoikis-related Genes in Epilepsy Through Bioinformatics Analysis.Brain and behavior · 2026Article
- Discovery of a Ferroptosis-Related lncRNA-miRNA-mRNA Gene Signature in Endometrial Cancer Through a Comprehensive Co-Expression Network Analysis.Current oncology (Toronto, Ont.) · 2026Article
- Autophagy modulation in gynaecologic oncology: insights into immune regulation and therapeutic potential.Frontiers in immunology · 2026Review
- Exploration of autophagy-related molecular mechanisms underlying epilepsy using multiple datasets.The Journal of international medical research · 2025Article
- Establishment and verification of a prognostic signature associated with fatty acid metabolism in endometrial cancer.Molecular medicine reports · 2025Article
- A PROTAC degrader suppresses oncogenic functions of PTK6, inducing apoptosis of breast cancer cells.Cell chemical biology · 2025Article
- Construction of cuproptosis-related genes risk model predicts the prognosis of Uterine Corpus Endometrial Carcinoma.Scientific reports · 2025Article
- Development and validation of the prediction model based on autophagy-associated genes in bronchopulmonary dysplasia.Annals of medicine · 2024Article
- POLE -related gene signature predicts prognosis, immune feature, and drug therapy in human endometrioid carcinoma.Heliyon · 2024Article
- Copper homeostasis and cuproptosis in gynecological cancers.Frontiers in cell and developmental biology · 2024Review
- Article
- An eleven autophagy-related genes-based prognostic signature for endometrial carcinoma.Journal of the Egyptian National Cancer Institute · 2022Article
- Lidocaine inhibits the proliferation and migration of endometrial cancer cells, and promotes apoptosis by inducing autophagy.Oncology letters · 2022Article
- Exploring the mechanism and experimental verification of puerarin in the treatment of endometrial carcinoma based on network pharmacology and bioinformatics analysis.BMC complementary medicine and therapies · 2022Article
- The Multifaceted Role of Autophagy in Endometrium Homeostasis and Disease.Reproductive sciences (Thousand Oaks, Calif.) · 2022Review
- Identification of an integrated kinase-related prognostic gene signature associated with tumor immune microenvironment in human uterine corpus endometrial carcinoma.Frontiers in oncology · 2022Article
- Identification and Validation of Cuproptosis-Related Prognostic Signature and Associated Regulatory Axis in Uterine Corpus Endometrial Carcinoma.Frontiers in genetics · 2022Article
- Necroptosis-Related miRNA Biomarkers for Predicting Overall Survival Outcomes for Endometrial Cancer.Frontiers in genetics · 2022Article
- A Diagnostic Model for Alzheimer's Disease Based on Blood Levels of Autophagy-Related Genes.Frontiers in aging neuroscience · 2022Article
- Identification of the prognostic value of a 2-gene signature of the WNT gene family in UCEC using bioinformatics and real-world data.Cancer cell international · 2021Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
backgroundGlobally, endometrial cancer is the fourth most common malignant tumor in women and the number of women being diagnosed is increasing. Tumor progression is strongly related to the cell survival-promoting functions of autophagy. We explored the relationship between endometrial cancer prognoses and the expression of autophagy genes using human autophagy databases.
methodsThe Cancer Genome Atlas was used to identify autophagy related genes (ARGs) that were differentially expressed in endometrial cancer tissue compared to healthy endometrial tissue. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were referenced to identify important biological functions and signaling pathways related to these differentially expressed ARGs. A prognostic model for endometrial cancer was constructed using univariate and multivariate Cox, and Least Absolute Shrinkage and Selection Operator regression analysis. Endometrial cancer patients were divided into high- and low-risk groups according to risk scores. Survival and receiver operating characteristic (ROC) curves were plotted for these patients to assess the accuracy of the prognostic model. Using immunohistochemistry the protein levels of the genes associated with risk were assessed.
resultsWe determined 37 ARGs were differentially expressed between endometrial cancer and healthy tissues. These genes were enriched in the biological processes and signaling pathways related to autophagy. Four ARGs (CDKN2A, PTK6, ERBB2 and BIRC5) were selected to establish a prognostic model of endometrial cancer. Kaplan-Meier survival analysis suggested that high-risk groups have significantly shorter survival times than low-risk groups. The area under the ROC curve indicated that the prognostic model for survival prediction was relatively accurate. Immunohistochemistry suggested that among the four ARGs the protein levels of CDKN2A, PTK6, ERBB2, and BIRC5 were higher in endometrial cancer than healthy endometrial tissue.
conclusionsOur prognostic model assessing four ARGs (CDKN2A, PTK6, ERBB2, and BIRC5) suggested their potential as independent predictive biomarkers and therapeutic targets for endometrial cancer.
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