ArticleBMC medical genomics2024
A hypoxia-glycolysis-lactate-related gene signature for prognosis prediction in hepatocellular carcinoma.
Article in BMC medical genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 12 citations in OpenAlex.
- Spatiotemporal heterogeneity of neutrophil extracellular traps in hepatocellular carcinoma microenvironment and targeted therapy progress.Journal of translational medicine · 2026Review
- Article
- AFP confers the resistance of lenvatinib in hepatocellular carcinoma by activating PI3K/AKT/LDHA signaling axis.Discover oncology · 2026Article
- HBV reprograms the tumor microenvironment in hepatocellular carcinoma: mechanisms and therapeutic implications.Clinical and experimental medicine · 2026Review
- Mechanisms of lactylation modification in hepatocellular carcinoma treatment resistance.Gastroenterology report · 2026Review
- EBF1 regulates sensory establishment in the cochlea by positioning the medial boundary of the prosensory domain and restricting proliferation of the sensory progenitor population.Development (Cambridge, England) · 2026Article
- SPP1+ Macrophages Promote Immunosuppression in Post-TACE Hepatocellular Carcinoma Involving Lactate-Induced Lactylation and Potential SPP1-CD44 Signaling.Journal of hepatocellular carcinoma · 2026Article
- Integrative analysis of molecular mechanisms in prostate cancer via single-cell RNA sequencing and weighted gene co-expression network analysis.Scientific reports · 2025Article
- The SOX12-YBX1-LDHA signaling axis drives metastasis in papillary thyroid carcinoma.Cell death & disease · 2025Article
- Hypoxia-related signatures predicts survival, immunosuppression and PARP inhibitor resistance in HCC.Discover oncology · 2025Article
- Development and validation of a prognostic model for colon cancer based on mitotic gene signatures and immune microenvironment analysis.Discover oncology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundLiver cancer ranks sixth in incidence and third in mortality globally and hepatocellular carcinoma (HCC) accounts for 90% of it. Hypoxia, glycolysis, and lactate metabolism have been found to regulate the progression of HCC separately. However, there is a lack of studies linking the above three to predict the prognosis of HCC. The present study aimed to identify a hypoxia-glycolysis-lactate-related gene signature for assessing the prognosis of HCC.
methodsThis study collected 510 hypoxia-glycolysis-lactate genes from Molecular Signatures Database (MSigDB) and then classified HCC patients from TCGA-LIHC by analyzing their hypoxia-glycolysis-lactate genes expression. Differentially expressed genes (DEGs) were screened out to construct a gene signature by LASSO-Cox analysis. Univariate and multivariate regression analyses were used to evaluate the independent prognostic value of the gene signature. Analyses of immune infiltration, somatic cell mutations, and correlation heatmap were conducted by "GSVA" R package. Single-cell analysis conducted by "SingleR", "celldex", "Seurat", and "CellCha" R packages revealed how signature genes participated in hypoxia/glycolysis/lactate metabolism and PPI network identified hub genes.
resultsWe classified HCC patients from TCGA-LIHC into two clusters and screened out DEGs. An 18-genes prognostic signature including CDCA8, CBX2, PDE6A, MED8, DYNC1LI1, PSMD1, EIF5B, GNL2, SEPHS1, CCNJL, SOCS2, LDHA, G6PD, YBX1, RTN3, ADAMTS5, CLEC3B, and UCK2 was built to stratify the risk of HCC. The risk score of the hypoxia-glycolysis-lactate gene signature was further identified as a valuable independent factor for estimating the prognosis of HCC. Then we found that the features of clinical characteristics, immune infiltration, somatic cell mutations, and correlation analysis differed between the high-risk and low-risk groups. Furthermore, single-cell analysis indicated that the signature genes could interact with the ligand-receptors of hepatocytes/fibroblasts/plasma cells to participate in hypoxia/glycolysis/lactate metabolism and PPI network identified potential hub genes in this process: CDCA8, LDHA, YBX1.
conclusionThe hypoxia-glycolysis-lactate-related gene signature we built could provide prognostic value for HCC and suggest several hub genes for future HCC studies.
Indexed as
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.