ArticleAging2020
A glycolysis-related gene expression signature in predicting recurrence of breast cancer.
Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 42 citations in OpenAlex.
- 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
- Identification of glycolysis -correlative features for predicting prognosis and investigating immune landscape in prostate cancer.BMC cancer · 2026Article
- Identification of glycolysis-related molecular subtypes and prognostic model in intrahepatic cholangiocarcinoma.Discover oncology · 2025Article
- [Research progress in the role of STMN1 in tumor].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025Review
- Unveiling GBE1 as a hypoxia-related prognostic gene with significant impact on immune cell infiltration in HER2-enriched breast cancer.Discover oncology · 2025Article
- Molecular biomarkers for the prognosis of breast cancer: role of amino acid metabolism genes.Journal of physiology and biochemistry · 2025Article
- A novel glycolysis-related gene signature for predicting prognosis and immunotherapy efficacy in breast cancer.Frontiers in immunology · 2025Article
- The regulatory role of the circELMOD3-associated ceRNA network in the progression and prognosis of hepatocellular carcinoma.Frontiers in genetics · 2025Article
- Integrative analysis of homologous recombination repair patterns unveils prognostic signatures and immunotherapeutic insights in breast cancer.Journal of applied genetics · 2024Article
- Prognostic value of amino acid metabolism-related gene expression in invasive breast carcinoma.Journal of cancer research and clinical oncology · 2023Article
- Inhibition of glycolysis represses the growth and alleviates the endoplasmic reticulum stress of breast cancer cells by regulating TMTC3.Open medicine (Warsaw, Poland) · 2023Article
- CFDP1 promotes hepatocellular carcinoma progression through activating NEDD4/PTEN/PI3K/AKT signaling pathway.Cancer medicine · 2023Article
- Trojan-horse silk fibroin nanocarriers loaded with a re-call antigen to redirect immunity against cancer.Journal for immunotherapy of cancer · 2023Article
- A glycometabolic gene signature associating with immune infiltration and chemosensitivity and predicting the prognosis of patients with osteosarcoma.Frontiers in medicine · 2023Article
- Proposing a novel molecular subtyping scheme for predicting distant recurrence-free survival in breast cancer post-neoadjuvant chemotherapy with close correlation to metabolism and senescence.Frontiers in endocrinology · 2023Review
- Docetaxel suppressed cell proliferation through Smad3/HIF-1α-mediated glycolysis in prostate cancer cells.Cell communication and signaling : CCS · 2022Article
- STMN1 as a novel prognostic biomarker in HCC correlating with immune infiltrates and methylation.World journal of surgical oncology · 2022Article
- Delving into the Heterogeneity of Different Breast Cancer Subtypes and the Prognostic Models Utilizing scRNA-Seq and Bulk RNA-Seq.International journal of molecular sciences · 2022Article
- STMN1 is highly expressed and contributes to clonogenicity in acute promyelocytic leukemia cells.Investigational new drugs · 2022Article
- Circ_0001955 plays a carcinogenic role in breast cancer via positively regulating GLUT1 via decoying miR-1299.Thoracic cancer · 2022Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolic change is the hallmark of cancer. In the present study, we aimed to develop a glycolysis-related gene signature to predict the prognosis of breast cancer patients. Gene expression profiles and clinical data of breast cancer patients were obtained from the GEO database. A four-gene based signature (ALDH2, PRKACB, STMN1 and ZNF292) was developed to separate patients into high-risk and low-risk groups. Patients in the low-risk group had significantly better prognosis than those in the high-risk group. Time-dependent ROC analysis demonstrated that the glycolysis-related gene signature had excellent prognostic accuracy. We further confirmed the expression of the four prognostic genes in breast cancer and paracancerous tissue samples using qRT-PCR analysis. Expression level of PRKACB was higher in paracancerous tissues, while STMN1 and ZNF292 were overexpressed in tumor samples, no significant difference was observed in ALDH2 expression level. Global proteome data of 105 TCGA breast cancer samples obtained from the Clinical Proteomic Tumor Analysis Consortium (CPTAC) were used to evaluate the prognostic value in protein levels. Consistently, high expression level of PRKACB protein was associated with favorable prognosis, while high ZNF292 and STMN1 protein expression levels indicated poor prognosis. The glycolysis-related gene signature might provide an effective prognostic predictor and a new insight for individualize management of breast cancer patients.
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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.