ArticleBMC cancer2020
Profiles of autophagy-related genes in esophageal adenocarcinoma.
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, 20 citations in OpenAlex.
- Autophagy-centered gene networks reveal prognostic biomarkers and therapeutic targets in esophageal cancer.Discover oncology · 2026Article
- The LncRNA RMST-miR-4295-ITPR1 axis: a key mechanism in regulating autophagy in triple-negative breast cancer cells.BMC cancer · 2025Article
- Integrated bioinformatics analysis to explore potential therapeutic targets and drugs for small cell carcinoma of the esophagus.Frontiers in bioinformatics · 2025Article
- Article
- Integrative analysis of platelet-related genes for the prognosis of esophageal cancer.World journal of clinical cases · 2022Article
- Prognostic score model based on six m6A-related autophagy genes for predicting survival in esophageal squamous cell carcinoma.Journal of clinical laboratory analysis · 2022Article
- Article
- Role of sirtuins in esophageal cancer: Current status and future prospects.World journal of gastrointestinal oncology · 2022Review
- Systematic analysis of the expression and prognostic value of ITPR1 and correlation with tumor infiltrating immune cells in breast cancer.BMC cancer · 2022Article
- Role of SNAREs in Unconventional Secretion-Focus on the VAMP7-Dependent Secretion.Frontiers in cell and developmental biology · 2022Review
- Development and validation of a survival model for esophageal adenocarcinoma based on autophagy-associated genes.Bioengineered · 2021Article
- Identification of a Ten-Gene Signature of DNA Damage Response Pathways with Prognostic Value in Esophageal Squamous Cell Carcinoma.Journal of oncology · 2021Article
- A Novel Prognostic Model Based on Autophagy-Related Long Non-Coding RNAs for Clear Cell Renal Cell Carcinoma.Frontiers in oncology · 2021Article
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
backgroundSeveral studies have demonstrated autophagy was involved in the process of esophageal adenocarcinoma (EAC). The aim of this study was to explore autophagy-related genes (ARGs) correlated with overall survival (OS) in EAC patients.
methodsExpressions of ARGs in EAC and normal samples were downloaded from TCGA database. GO and KEGG enrichment analyses were used to investigate the ARGs bioinformatics functions. Univariate and multivariate cox regressions were performed to identify prognostic ARGs and the independent risk factors. ROC curve was established to evaluate the feasibility to predict the prognosis. Finally, the correlations between ARGs and clinical features were further explored. In addition, significantly different ARGs were verified in EAC specimens and normal esophageal mucosal tissues.
resultsThirty significantly different ARGs were selected from EAC and normal tissues. Functional enrichments showed these ARGs were mainly related apoptosis. Multivariate cox regression analyses demonstrated eight ARGs were significantly associated with OS. Among these eight genes, BECN1 (HR = 0.321, P = 0.046), DAPK1 (HR = 0.636, P = 0.025) and CAPN1 (HR = 0.395, P = 0.004) played protective roles in survival. Gender (HR = 0.225, P = 0.032), stage (HR = 5.841, P = 0.008) and risk score (HR = 1.131, P < 0.001) were independent prognostic risk factors. ROC curves showed better efficacy to predict survival using the risk score. Additionally, we found BECN1, DAPK1, VAMP7 and SIRT1 genes were correlated significantly with survival status, gender, primary tumor and tumor stage (all P < 0.05). The experimental results confirmed the BIRC5 was overexpressed and the ITPR1, PRKN were downregulated in the EAC tissues compared with the normal esophageal mucosal tissues (all P < 0.05).
conclusionOur findings suggested that autophagy was involved in the process of EAC. Several ARGs probably could serve as diagnostic and prognostic biomarkers and may help facilitate therapeutic targets in EAC patients.
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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.