ArticleBMC cancer2020
Prognostic significance of autophagy-related genes within esophageal carcinoma.
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 13 papers.
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Who cites it
13 citing papers in PubMed.
- Autophagy-centered gene networks reveal prognostic biomarkers and therapeutic targets in esophageal cancer.Discover oncology · 2026Article
- L-Selenomethylselenocysteine Exerts Inhibitory Effects on the Progression of Esophageal Cancer by Targeting the PI3K/AKT Signaling Pathway.Recent patents on anti-cancer drug discovery · 2026Article
- Molecular mechanism of bisphenol A in promoting esophageal carcinoma based on network toxicology and molecular docking.Medicine · 2025Article
- Screening telomere-related genes to predict prognosis, immunotherapy response, and drug sensitivity in esophageal cancer using a machine learning approach.Journal of cardiothoracic surgery · 2025Article
- Current trends and future projection for addressing the burden of esophageal carcinoma in Asia: a comprehensive analysis (1990-2040).Frontiers in oncology · 2025Article
- Predictive model using four ferroptosis-related genes accurately predicts gastric cancer prognosis.World journal of gastrointestinal oncology · 2024Article
- The Crosstalk Between Autophagy and MicroRNAs in Esophageal Carcinoma:.Galen medical journal · 2023Article
- Unlocking the gate to GABARAPL2.Biologia futura · 2022Review
- Development and validation of a survival model for esophageal adenocarcinoma based on autophagy-associated genes.Bioengineered · 2021Article
- Identification of autophagy-related risk signatures for the prognosis, diagnosis, and targeted therapy in cervical cancer.Cancer cell international · 2021Article
- TANK-binding kinase 1 inhibitor GSK8612 enhances daunorubicin sensitivity in acute myeloid leukemia cells via the AKT-CDK2 pathway.American journal of translational research · 2021Article
- Article
- Pathogenic Single Nucleotide Polymorphisms on Autophagy-Related Genes.International journal of molecular sciences · 2020Review
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7 authors.
Funding
Abstract
backgroundSeveral works suggest the importance of autophagy during esophageal carcinoma development. The aim of the study is to construct a scoring system according to the expression profiles of major autophagy-related genes (ARGs) among esophageal carcinoma cases.
methodsThe Cancer Genome Atlas was employed to obtain the esophageal carcinoma data. Thereafter, the online database Oncolnc ( http://www.oncolnc.org/ ) was employed to verify the accuracy of our results. According to our results, the included ARGs were related to overall survival (OS).
resultsWe detected the expression patterns of ARG within esophageal carcinoma and normal esophageal tissues. In addition, we identified the autophagy related gene set, including 14 genes displaying remarkable significance in predicting the esophageal carcinoma prognosis. The cox regression results showed that, 7 ARGs (including TBK1, ATG5, HSP90AB1, VAMP7, DNAJB1, GABARAPL2, and MAP2K7) were screened to calculate the ARGs scores. Typically, patients with higher ARGs scores were associated with poorer OS. Moreover, the receiver operating characteristic (ROC) curve analysis suggested that, ARGs accurately distinguished the healthy people from esophageal carcinoma patients, with the area under curve (AUC) value of > 0.6.
conclusionA scoring system is constructed in this study based on the main ARGs, which accurately predicts the outcomes for esophageal carcinoma.
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