ArticlePeerJ2020
A glycolysis-related gene pairs signature predicts prognosis in patients with hepatocellular carcinoma.
Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Comprehensive molecular characteristics of hepatocellular carcinoma based on multi-omics analysis.BMC cancer · 2025Article
- Integrative Analysis of DNA Methylation and microRNA Reveals GNPDA1 and SLC25A16 Related to Biopsychosocial Factors Among Taiwanese Women with a Family History of Breast Cancer.Journal of personalized medicine · 2025Article
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- The Possible Roles of Glucosamine-6-Phosphate Deaminases in Ammonium Metabolism in Cancer.International journal of molecular sciences · 2024Review
- scRNA-Seq Analysis Revealed CAFs Regulating HCC Cells via PTN Signaling.Journal of hepatocellular carcinoma · 2024Article
- Single-cell and bulk RNAseq unveils the immune infiltration landscape and targeted therapeutic biomarkers of psoriasis.Frontiers in genetics · 2024Article
- Ubenimex suppresses glycolysis mediated by CD13/Hedgehog signaling to enhance the effect of cisplatin in liver cancer.Translational cancer research · 2023Article
- Establishment of a risk score model for bladder urothelial carcinoma based on energy metabolism-related genes and their relationships with immune infiltration.FEBS open bio · 2023Article
- Article
- Identification and verification of a glycolysis-related gene signature for gastric cancer.Annals of translational medicine · 2022Article
- Circular RNA circKIF2A Contributes to the Progression of Neuroblastoma Through Regulating PRPS1 Expression by Sponging miR-377-3p.Biochemical genetics · 2022Article
- Cytochrome B5 type A alleviates HCC metastasis via regulating STOML2 related autophagy and promoting sensitivity to ruxolitinib.Cell death & disease · 2022Article
- Circ_0036412 affects the proliferation and cell cycle of hepatocellular carcinoma via hedgehog signaling pathway.Journal of translational medicine · 2022Article
- Identification of a glycolysis-related gene signature for predicting prognosis in patients with hepatocellular carcinoma.BMC cancer · 2022Article
- A Glycolysis-Related Gene Signature Correlates With the Characteristics of the Tumor Immune Microenvironment and Predicts Prognosis in Patients With Hepatocellular Carcinoma.Frontiers in molecular biosciences · 2022Article
- Predicting Differences in Treatment Response and Survival Time of Lung Adenocarcinoma Patients Based on a Prognostic Risk Model of Glycolysis-Related Genes.Frontiers in genetics · 2022Article
- Article
- Glycolysis related gene expression signature in predicting prognosis of laryngeal squamous cell carcinoma.Bioengineered · 2021Article
- A novel prognostic signature based on four glycolysis-related genes predicts survival and clinical risk of hepatocellular carcinoma.Journal of clinical laboratory analysis · 2021Article
- Prognostic value of a novel glycolysis-related gene expression signature for gastrointestinal cancer in the Asian population.Cancer cell international · 2021Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHepatocellular carcinoma (HCC) is one of the most universal malignant liver tumors worldwide. However, there were no systematic studies to establish glycolysis‑related gene pairs (GRGPs) signatures for the patients with HCC. Therefore, the study aimed to establish novel GRGPs signatures to better predict the prognosis of HCC.
methodsBased on the data from Gene Expression Omnibus, The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium databases, glycolysis-related mRNAs were used to construct GRGPs. Cox regression was applied to establish a seventeen GRGPs signature in TCGA dataset, which was verified in two validation (European and American, and Asian) datasets.
resultsSeventeen prognostic GRGPs (HMMR_PFKFB1, CHST1_GYS2, MERTK_GYS2, GPC1_GYS2, LDHA_GOT2, IDUA_GNPDA1, IDUA_ME2, IDUA_G6PD, IDUA_GPC1, MPI_GPC1, SDC2_LDHA, PRPS1_PLOD2, GALK1_IER3, MET_PLOD2, GUSB_IGFBP3, IL13RA1_IGFBP3 and CYB5A_IGFBP3) were identified to be significantly progressive factors for the patients with HCC in the TCGA dataset, which constituted a GRGPs signature. The patients with HCC were classified into low-risk group and high-risk group based on the GRGPs signature. The GRGPs signature was a significantly independent prognostic indicator for the patients with HCC in TCGA (log-rank
conclusionThe seventeen GRGPs and their signature might be molecular biomarkers and therapeutic targets for the patients with HCC.
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