ArticleAnnals of translational medicine2021
Development and validation of an autophagy-related prognostic signature in esophageal cancer.
Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed, 38 citations in OpenAlex.
- Autophagy-centered gene networks reveal prognostic biomarkers and therapeutic targets in esophageal cancer.Discover oncology · 2026Article
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- Knowledge map of programmed cell death in esophageal cancer: a bibliometric analysis.Discover oncology · 2025Article
- Genome-wide profiling of a prognostic RNA-binding protein signature in esophageal cancer.Translational cancer research · 2025Article
- Exploring Autophagy-Related Gene Expression in Hepatocellular Carcinoma via TCGA, GEPIA2, and HPA Databases: Implications for Prognosis.Journal of hepatocellular carcinoma · 2025Article
- The Interplay between Autophagy and Mitochondria in Cancer.International journal of molecular sciences · 2024Review
- Triphenylphosphonium-Conjugated Palmitic Acid for Mitochondrial Targeting of Pancreatic Cancer Cells: Proteomic and Molecular Evidence.International journal of molecular sciences · 2024Article
- Comprehensive analysis of ZNF family genes in prognosis, immunity, and treatment of esophageal cancer.BMC cancer · 2023Article
- Identification and Validation of Cuproptosis-Related LncRNA Signatures in the Prognosis and Immunotherapy of Clear Cell Renal Cell Carcinoma Using Machine Learning.Biomolecules · 2022Article
- The association between several autophagy-related genes and their prognostic values in hepatocellular carcinoma: a study on the foundation of TCGA, GEPIA and HPA databases.Molecular biology reports · 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
- Construction of an immune-related gene signature for the prognosis and diagnosis of glioblastoma multiforme.Frontiers in oncology · 2022Article
- Endoplasmic Reticulum Stress-Related Four-Biomarker Risk Classifier for Survival Evaluation in Esophageal Cancer.Journal of oncology · 2022Article
- Feature screening for survival trait with application to TCGA high-dimensional genomic data.PeerJ · 2022Article
- LASSO Model Better Predicted the Prognosis of DLBCL than Random Forest Model: A Retrospective Multicenter Analysis of HHLWG.Journal of oncology · 2022Article
- Autophagy in gastrointestinal cancers.Frontiers in oncology · 2022Review
- Development and validation of a survival model for esophageal adenocarcinoma based on autophagy-associated genes.Bioengineered · 2021Article
- Autophagy and Digestive Disorders: Advances in Understanding and Therapeutic Approaches.Biomolecules & therapeutics · 2021Review
- Identification and Validation of Pyroptosis-Related Gene Signature to Predict Prognosis and Reveal Immune Infiltration in Hepatocellular Carcinoma.Frontiers in cell and developmental biology · 2021Article
- Identification and Validation of Autophagy-Related Gene Nomograms to Predict the Prognostic Value of Patients with Cervical Cancer.Journal of oncology · 2021Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAutophagy has a dual function in cancer, and its role in carcinogenesis of the esophagus remains poorly understood. In the present study, we explored the prognostic value of autophagy in esophageal cancer (ESCA), one of the leading causes of cancer-related deaths worldwide.
methodsUsing ESCA RNA-sequencing (RNA-Seq) data from 158 primary patients with ESCA, including esophageal adenocarcinoma and esophageal squamous cell carcinoma, were downloaded from The Cancer Genome Atlas (TCGA) for this study. We obtained differentially expressed autophagy-related genes (ARGs) by the "limma" package of R. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) analyses unveiled several fundamental signaling pathways associated with the differentially expressed ARGs in ESCA. Univariate Cox regression analyses were used to estimate associations between ARGs and overall survival (OS) in the TCGA ESCA cohort. A Cox proportional hazards model (iteration =1,000) with a lasso penalty was used to create the optimal multiple-gene prognostic signature utilizing an R package called "glmnet".
resultsA prognostic signature was constructed with four ARGs (
conclusionsThe prognostic signature may be an independent predictor of survival for ESCA patients. The prognostic nomogram may improve the prediction of individualized outcome. This study also highlights the importance of autophagy in the outcomes of patients with ESCA.
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