ArticlePeerJ2020
Development of an autophagy-related gene prognostic signature in lung adenocarcinoma and lung squamous cell carcinoma.
Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed, 53 citations in OpenAlex.
- Selective autophagy in hepatocellular carcinoma: Mechanisms, roles and therapeutic implications (Review).Experimental and therapeutic medicine · 2025Review
- A autophagy related gene signature to predict the prognosis of pancreatic carcinoma and tumor immune microenvironment evaluation.Scientific reports · 2025Article
- Research trends in microRNA profiling as a biomarker for lung adenocarcinoma via liquid biopsy: A bibliometric analysis.Narra J · 2025Review
- A seven-LncRNA signature for prognosis prediction of patients with lung squamous cell carcinoma through tumor immune escape.Frontiers in oncology · 2025Article
- Biological mechanisms and clinical significance of endoplasmic reticulum oxidoreductase 1 alpha (ERO1α) in human cancer.Journal of experimental & clinical cancer research : CR · 2024Review
- High expression of autophagy-related geneWorld journal of clinical cases · 2023Article
- Deciphering a cell death-associated signature for predicting prognosis and response to immunotherapy in lung squamous cell carcinoma.Respiratory research · 2023Article
- Comprehensive analysis of novel prognosis-related proteomic signature effectively improve risk stratification and precision treatment for patients with cervical cancer.Archives of gynecology and obstetrics · 2023Article
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- Autophagy-related tumor subtypes associated with significant gene expression profiles and immune cell infiltration signatures to reveal the prognosis of non-small cell lung cancer.Journal of Cancer · 2023Article
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- FADD as a key molecular player in cancer progression.Molecular medicine (Cambridge, Mass.) · 2022Review
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- Crassolide Induces G2/M Cell Cycle Arrest, Apoptosis, and Autophagy in Human Lung Cancer Cells via ROS-Mediated ER Stress Pathways.International journal of molecular sciences · 2022Article
- MicroRNA-218-5p affects lung adenocarcinoma progression through targeting endoplasmic reticulum oxidoreductase 1 alpha.Bioengineered · 2022Article
- ATIC facilitates cell growth and migration by upregulating Myc expression in lung adenocarcinoma.Oncology letters · 2022Article
- Impact of Variants in theGenes · 2022Article
- A novel epithelial-mesenchymal transition (EMT)-related gene signature of predictive value for the survival outcomes in lung adenocarcinoma.Frontiers in oncology · 2022Article
- An Aging-Related Gene Signature-Based Model for Risk Stratification and Prognosis Prediction in Lung Squamous Carcinoma.Frontiers in cell and developmental biology · 2022Article
- Autophagy characteristics and establishment of autophagy prognostic models in lung adenocarcinoma and lung squamous cell carcinoma.PloS one · 2022Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThere is plenty of evidence showing that autophagy plays an important role in the biological process of cancer. The purpose of this study was to establish a novel autophagy-related prognostic marker for lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC).
methodsThe mRNA microarray and clinical data in The Cancer Genome Atlas (TCGA) were analyzed by using a univariate Cox proportional regression model to select candidate autophagy-related prognostic genes. Bioinformatics analysis of gene function using the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) platforms was performed. A multivariate Cox proportional regression model helped to develop a prognostic signature from the pool of candidate genes. On the basis of this prognostic signature, we could divide LUAD and LUSC patients into high-risk and low-risk groups. Further survival analysis demonstrated that high-risk patients had significantly shorter disease-free survival (DFS) than low-risk patients. The signature which contains six autophagy-related genes (EIF4EBP1, TP63, BNIP3, ATIC, ERO1A and FADD) showed good performance for predicting the survival of LUAD and LUSC patients by having a better Area Under Curves (AUC) than other clinical parameters. Its efficacy was also validated by data from the Gene Expression Omnibus (GEO) database.
conclusionCollectively, the prognostic signature we proposed is a promising biomarker for monitoring the outcomes of LUAD and LUSC.
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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.