ArticleFrontiers in oncology2020
Development and Validation of Autophagy-Related Gene Signature and Nomogram for Predicting Survival in Oral Squamous Cell Carcinoma.
Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 37 citations in OpenAlex.
- Molecular Docking and Single-Cell RNA-Seq Analysis IdentifyCurrent medicinal chemistry · 2026Article
- Development of a cancer metastasis-associated risk model via multi-machine-learning algorithms for prognostic risk evaluation and clinical application in oral squamous cell carcinoma.Journal of translational medicine · 2025Article
- Targeting autophagy to enhance cancer immunotherapy: emerging mechanisms and strategies.Medical oncology (Northwood, London, England) · 2025Review
- Bioinformatics identification and validation of m6A/m1A/m5C/m7G/ac4 C-modified genes in oral squamous cell carcinoma.BMC cancer · 2025Article
- A Narrative Review of Prognostic Gene Signatures in Oral Squamous Cell Carcinoma Using LASSO Cox Regression.Biomedicines · 2025Review
- Predictive significance of glycolysis-associated lncRNA profiles in colorectal cancer progression.BMC medical genomics · 2024Article
- TIMELESS promotes reprogramming of glucose metabolism in oral squamous cell carcinoma.Journal of translational medicine · 2024Article
- Prognosis of colon cancer patients based on enhancer RNAs-related genes.Journal of cancer research and clinical oncology · 2023Article
- Immunoexpression of Autophagy-Related Proteins in Salivary Gland Tumors: An Exploratory Study.Head and neck pathology · 2023Article
- Poor Prognosis of Oral Squamous Cell Carcinoma Correlates With ITGA6.International dental journal · 2023Article
- A ferroptosis-related prognostic model with excellent clinical performance based on the exploration of the mechanism of oral squamous cell carcinoma progression.Scientific reports · 2023Article
- Systematic establishment and verification of an epithelial-mesenchymal transition gene signature for predicting prognosis of oral squamous cell carcinoma.Frontiers in genetics · 2023Article
- Construction and validation of a metabolic-related genes prognostic model for oral squamous cell carcinoma based on bioinformatics.BMC medical genomics · 2022Article
- Article
- Incidence, prognostic factors and survival in bladder cancer patients: a population-based study.Translational cancer research · 2022Article
- mAging · 2022Article
- Establishment and validation of five autophagy-related signatures for predicting survival and immune microenvironment in glioma.Genes & genomics · 2022Article
- Construction and Validation of a UPR-Associated Gene Prognostic Model for Head and Neck Squamous Cell Carcinoma.BioMed research international · 2022Article
- Prognostic Model and Nomogram Construction and Validation With an Autophagy-Related Gene Signature in Low-Grade Gliomas.Frontiers in genetics · 2022Article
- A Novel Immune-Related Gene Signature to Identify the Tumor Microenvironment and Prognose Disease Among Patients With Oral Squamous Cell Carcinoma Patients Using ssGSEA: A Bioinformatics and Biological Validation Study.Frontiers in immunology · 2022Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAutophagy, a highly conserved self-digesting process, has been deeply involved in the development and progression of oral squamous cell carcinoma (OSCC). However, the prognostic value of autophagy-related genes (ARGs) for OSCC still remains unclear. Our study set out to develop a multigene expression signature based on ARGs for individualized prognosis assessment in OSCC patients.
methodsBased on The Cancer Genome Atlas (TCGA) database, we identified prognosis-related ARGs through univariate COX regression analysis. Then we performed the least absolute shrinkage and selection operator (LASSO) regression analysis to identify an optimal autophagy-related multigene signature with the subsequent validation in testing set, GSE41613 and GSE42743 datasets.
resultsWe identified 36 prognosis-related ARGs for OSCC. Subsequently, the multigene signature based on 13 prognostic ARGs was constructed and successfully divided OSCC patients into low and high-risk groups with significantly different overall survival in TCGA training set (
conclusionIn summary, we identified and verified a 13-ARGs prognostic signature and nomogram, which provide individualized prognosis evaluation and show insight for potential therapeutic targets for OSCC.
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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 Socratic graph.