ArticleAging2020
A glycolysis-related gene signature predicts prognosis of patients with esophageal adenocarcinoma.
Article in Aging, 2020. 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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Who cites it
20 citing papers in PubMed.
- Identification of glycolysis -correlative features for predicting prognosis and investigating immune landscape in prostate cancer.BMC cancer · 2026Article
- Claudin-9 (Cancer pathogenesis and therapy · 2025Article
- Nomograms for prognosis prediction in esophageal adenocarcinoma: realities and challenges.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025Review
- Action of m6A-related gene signatures on the prognosis and immune microenvironment of colonic adenocarcinoma.Heliyon · 2024Article
- LINC00665 promotes glycolysis in lung adenocarcinoma cells via the let-7c-5p/HMMR axis.Journal of bioenergetics and biomembranes · 2024Article
- Differential Regulation of Genes by the Glucogenic Hormone Asprosin in Ovarian Cancer.Journal of clinical medicine · 2022Article
- Identification and verification of a glycolysis-related gene signature for gastric cancer.Annals of translational medicine · 2022Article
- Identification of risk model based on glycolysis-related genes in the metastasis of osteosarcoma.Frontiers in endocrinology · 2022Article
- Evaluation of the Prognostic Relevance of Differential Claudin Gene Expression Highlights Claudin-4 as Being Suppressed by TGFβ1 Inhibitor in Colorectal Cancer.Frontiers in genetics · 2022Article
- Developing an Immune-Related Signature for Predicting Survival Rate and the Response to Immune Checkpoint Inhibitors in Patients With Glioma.Frontiers in genetics · 2022Article
- Screening a novel six critical gene-based system of diagnostic and prognostic biomarkers in prostate adenocarcinoma patients with different clinical variables.American journal of translational research · 2022Article
- The pathophyiological role of aminoacyl-tRNA synthetases in digestive system diseases.Frontiers in physiology · 2022Review
- Identification of glycolysis genes signature for predicting prognosis in malignant pleural mesothelioma by bioinformatics and machine learning.Frontiers in endocrinology · 2022Article
- PI3K Pathway Inhibition with NVP-BEZ235 Hinders Glycolytic Metabolism in Glioblastoma Multiforme Cells.Cells · 2021Article
- Circβ-catenin promotes tumor growth and Warburg effect of gallbladder cancer by regulating STMN1 expression.Cell death discovery · 2021Article
- Identification of a Ten-Gene Signature of DNA Damage Response Pathways with Prognostic Value in Esophageal Squamous Cell Carcinoma.Journal of oncology · 2021Article
- Glycolysis Changes the Microenvironment and Therapeutic Response Under the Driver of Gene Mutation in Esophageal Adenocarcinoma.Frontiers in genetics · 2021Article
- Transcriptional and Epigenetic Bioinformatic Analysis of Claudin-9 Regulation in Gastric Cancer.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
- PGK1 Is a Key Target for Anti-Glycolytic Therapy of Ovarian Cancer: Based on the Comprehensive Analysis of Glycolysis-Related Genes.Frontiers in oncology · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
backgroundEsophageal adenocarcinoma (EAC) is a growing problem with a rapidly rising incidence and carries a poor prognosis. We aimed to develop a glycolysis-related gene signature to predict the prognostic outcome of patients with EAC.
resultsFive genes (CLDN9, GFPT1, HMMR, RARS and STMN1) were correlated with prognosis of EAC patients. Patients were classified into high-risk and low-risk groups calculated by Cox regression analysis, based on the five gene signature risk score. The five-gene signature was an independent biomarker for prognosis and patients with low risk scores showed better prognosis. Nomogram incorporating the gene signature and clinical prognostic factors was effective in predicting the overall survival.
conclusionAn innovative identified glycolysis-related gene signature and an effective nomogram reliably predicted the prognosis of EAC patients.
methodsThe Cancer Genome Atlas database was investigated for the gene expression profile of EAC patients. Glycolytic gene sets difference between EAC and normal tissues were identified via Gene set enrichment analysis (GSEA). Univariate and multivariate Cox analysis were utilized to construct a prognostic gene signature. The signature was evaluated by receiver operating characteristic curves and Kaplan-Meier curves. A prognosis model integrating clinical parameters with the gene signature was established with nomogram.
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Registered trials
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.