ArticleFrontiers in oncology2020
Identification of a Novel Glycolysis-Related Gene Signature for Predicting Breast Cancer Survival.
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 26 papers.
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Who cites it
26 citing papers in PubMed.
- Precise metabolomics identifies glycolysis-related pyruvate kinase M activity as regulator of the S-phase-specific radiation response in triple-negative breast cancer cells.Cell communication and signaling : CCS · 2026Article
- A Cori cycle-related gene signature predicts prognosis, immune microenvironment, and drug response in breast cancer.Translational cancer research · 2026Article
- Identification and validation of prognostic genes related to glycolysis and M2 macrophage in hepatocellular carcinoma: an integrated analysis of bulk RNA sequencing and single-cell RNA sequencing.Frontiers in immunology · 2026Article
- A diagnostic model of atherosclerosis based on the oxidative stress-glycolysis co-regulatory network.Molecular and cellular biochemistry · 2026Article
- Integrating multi-omics data to identify the role of Aggrephagy-related genes in tumor microenvironment and key tumorigenesis factors of GB from the perspective of single-cell sequencing.Discover oncology · 2025Article
- A novel glycolysis-related gene signature for predicting prognosis and immunotherapy efficacy in breast cancer.Frontiers in immunology · 2025Article
- A Glycolysis and gluconeogenesis-related model for breast cancer prognosis.Cancer biomarkers : section A of Disease markers · 2024Article
- PIK3CA mutation-driven immune signature as a prognostic marker for evaluating the tumor immune microenvironment and therapeutic response in breast cancer.Journal of cancer research and clinical oncology · 2024Article
- A novel prognostic model of breast cancer based on cuproptosis-related lncRNAs.Discover oncology · 2024Article
- Construction and evaluation of a multifactorial clinical model for discriminating benign and malignant breast tumors using LASSO algorithm based on retrospective cohort study.American journal of cancer research · 2024Article
- Glycolysis induces Th2 cell infiltration and significantly affects prognosis and immunotherapy response to lung adenocarcinoma.Functional & integrative genomics · 2023Article
- Construction and validation of an aging-related gene signature for prognosis prediction of patients with breast cancer.Cancer reports (Hoboken, N.J.) · 2023Article
- Effects of Lipid Metabolism-Related Genes PTGIS and HRASLS on Phenotype, Prognosis, and Tumor Immunity in Lung Squamous Cell Carcinoma.Oxidative medicine and cellular longevity · 2023Article
- Identification and verification of a glycolysis-related gene signature for gastric cancer.Annals of translational medicine · 2022Article
- Prognostic signature of esophageal adenocarcinoma based on pyroptosis-related genes.BMC medical genomics · 2022Article
- Identification of new head and neck squamous cell carcinoma subtypes and development of a novel score system (PGSscore) based on variations in pathway activity between tumor and adjacent non-tumor samples.Computational and structural biotechnology journal · 2022Article
- Identification of a prognostic risk-scoring model and risk signatures based on glycosylation-associated cluster in breast cancer.Frontiers in genetics · 2022Article
- A combined signature of glycolysis and immune landscape predicts prognosis and therapeutic response in prostate cancer.Frontiers in endocrinology · 2022Article
- Identification of a novel lipid metabolism-related gene signature for predicting colorectal cancer survival.Frontiers in genetics · 2022Article
- Identification of a glycolysis-related gene signature for survival prediction of ovarian cancer patients.Cancer medicine · 2021Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To identify a glycolysis-related gene signature for the evaluation of prognosis in patients with breast cancer, we analyzed the data of a training set from TCGA database and four validation cohorts from the GEO and ICGC databases which included 1,632 patients with breast cancer. We conducted GSEA, univariate Cox regression, LASSO, and multiple Cox regression analysis. Finally, an 11
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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.