ArticleAging2020
Identification of a nomogram based on long non-coding RNA to improve prognosis prediction of esophageal squamous cell carcinoma.
Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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Who cites it
44 citing papers in PubMed, 59 citations in OpenAlex.
- Advances in multi-omics for esophageal squamous cell carcinoma: diagnostic, prognostic, and therapeutic perspectives.Protein & cell · 2026Review
- Roles of long non-coding RNAs in oesophageal cancer pathogenesis.International journal of experimental pathology · 2025Review
- lncRNA FENDRR Predicts Adverse Prognosis and Regulates the Development of Esophageal Squamous Cell Carcinoma Through Negatively Modulating miR-495-3p.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2025Article
- lncRNA FENDRR targets miR-3614-5p to promote sepsis-induced acute kidney injuryCentral-European journal of immunology · 2025Article
- Construction of an immune-related prognostic model and potential drugs screening for esophageal cancer based on bioinformatics analyses and network pharmacology.Immunity, inflammation and disease · 2024Article
- Development and validation of a prognostic prediction model for cervical cancer patients treated with radical radiotherapy: a study based on TCGA database.Translational cancer research · 2024Article
- AURKA knockdown inhibits esophageal squamous cell carcinoma progression through ferroptosis.Heliyon · 2024Article
- Tumor-associated macrophage-derived exosomes LINC01592 induce the immune escape of esophageal cancer by decreasing MHC-I surface expression.Journal of experimental & clinical cancer research : CR · 2023Article
- Pan-cancer analysis of PCAT6 and its effect on oesophageal squamous cell carcinoma cell proliferation and migration.Medical oncology (Northwood, London, England) · 2023Article
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- A conjoint analysis of bulk RNA-seq and single-nucleus RNA-seq for revealing the role of ferroptosis and iron metabolism in ALS.Frontiers in neuroscience · 2023Article
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- Development and verification of a hypoxia- and immune-associated prognosis signature for esophageal squamous cell carcinoma.Journal of gastrointestinal oncology · 2022Article
- FibroDB: Expression Analysis of Protein-Coding and Long Non-Coding RNA Genes in Fibrosis.Non-coding RNA · 2022Article
- Identification of Hub Genes of Lung Adenocarcinoma Based on Weighted Gene Co-Expression Network in Chinese Population.Pathology oncology research : POR · 2022Article
- A clinical prognostic model for patients with esophageal squamous cell carcinoma based on circulating tumor DNA mutation features.Frontiers in oncology · 2022Article
- Single cell sequencing revealed the mechanism of PD-1 resistance affected by the expression profile of peripheral blood immune cells in ESCC.Frontiers in immunology · 2022Article
- A novel immune-related radioresistant lncRNAs signature based model for risk stratification and prognosis prediction in esophageal squamous cell carcinoma.Frontiers in genetics · 2022Article
- Article
- Establishment and Verification of a Gene Signature for Diagnosing Type 2 Diabetics by WGCNA, LASSO Analysis, and In Vitro Experiments.BioMed research international · 2022Article
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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
purposeEsophageal squamous cell carcinoma (ESCC) remains a common aggressive malignancy in the world. Several long non-coding RNAs (lncRNAs) are reported to predict the prognosis of ESCC. Therefore, an in-depth research is urgently needed to further investigate the prognostic value of lncRNAs in ESCC.
resultsFrom the training set, we identified a eight-lncRNA signature (including AP000487, AC011997, LINC01592, LINC01497, LINC01711, FENDRR, AC087045, AC137770) which separated the patients into two groups with significantly different overall survival (hazard ratio, HR = 3.79, 95% confidence interval, 95% CI [2.56-5.62];
conclusionsOur eight-lincRNA signature and nomogram could be practical and reliable prognostic tools for esophageal squamous cell carcinoma.
methodsWe downloaded the lncRNA expression profiles of ESCC patients from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) datasets and separated to training and validation cohort. The univariate, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis were used to identify a lncRNA-based signature. The predictive value of the signature was assessed using the Kaplan-Meier method, receiver operating characteristic (ROC) curves and area under curve (AUC). Weighted gene co-expression network analysis (WGCNA) was applied to predict the intrinsic relationship between gene expressions. In addition, we further explored the combination of clinical information and module construction.
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