ArticleOncotarget2016
Gene network analysis reveals a novel 22-gene signature of carbon metabolism in hepatocellular carcinoma.
Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed, 29 citations in OpenAlex.
- DTX1-mediated degradation of TUBB3 in Kupffer cells mitigates hepatocellular carcinoma progression by regulating M1/M2 polarization.Communications biology · 2026Article
- Comprehensive transcriptomic analysis of hepatocellular Carcinoma: Uncovering shared and unique molecular signatures across diverse etiologies.Biochemistry and biophysics reports · 2025Article
- Bidirectional regulation of lipid metabolism and the tumor microenvironment: new perspectives from mechanism to therapy.Frontiers in immunology · 2025Review
- Sirtuin 5 inhibits mitochondrial metabolism in liver cancer cells and promotes apoptosis by mediating the desuccinylation of CS.Frontiers in immunology · 2025Article
- Metabolic reprogramming of glucose: the metabolic basis for the occurrence and development of hepatocellular carcinoma.Frontiers in oncology · 2025Review
- ACSS1-dependent acetate utilization rewires mitochondrial metabolism to support AML and melanoma tumor growth and metastasis.Cell reports · 2024Article
- MiR-122-5p regulates erastin-induced ferroptosis via CS in nasopharyngeal carcinoma.Scientific reports · 2024Article
- Hub genes and pathways related to caries-free dental biofilm: clinical metatranscriptomic study.Clinical oral investigations · 2023Article
- Review
- Identified Three Interferon Induced Proteins as Novel Biomarkers of Human Ischemic Cardiomyopathy.International journal of molecular sciences · 2021Article
- System-Wide Pollution of Biomedical Data: Consequence of the Search for Hub Genes of Hepatocellular Carcinoma Without Spatiotemporal Consideration.Molecular diagnosis & therapy · 2021Review
- Genomic Landscape of HCC.Current hepatology reports · 2020Article
- Identification of potential novel biomarkers to differentiate malignant thyroid nodules with cytological indeterminate.BMC cancer · 2020Article
- Review
- A Six-Gene Signature Predicts Survival of Adenocarcinoma Type of Non-Small-Cell Lung Cancer Patients: A Comprehensive Study Based on Integrated Analysis and Weighted Gene Coexpression Network.BioMed research international · 2019Article
- Identification of Potential Gene Network Associated with HCV-Related Hepatocellular Carcinoma Using Microarray Analysis.Pathology oncology research : POR · 2018Article
- Article
- A network-based signature to predict the survival of non-smoking lung adenocarcinoma.Cancer management and research · 2018Article
- Weighted gene co-expression network analysis of expression data of monozygotic twins identifies specific modules and hub genes related to BMI.BMC genomics · 2017Article
- Identification of two novel biomarkers of rectal carcinoma progression and prognosis via co-expression network analysis.Oncotarget · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
Although much progress has been made in understanding cancer cellular metabolism adaptation, the co-regulations between genes of metabolism and cancer pathways and their interactions remain poorly characterized. Here, we applied gene co-expression network analysis to 1509 metabolic gene expression data generated from 120 HCC and 180 non-tumor human liver tissues by microarray. Our analyses reveal that metabolism genes can be classified into different co-expression modules based on their associations with HCC related traits. The co-regulation mechanism of the carbon metabolism genes in normal liver tissues was interrupted during the processes of carcinogenesis. In parallel, we performed RNAseq analysis of HCC and non-tumor human liver tissues, and identified a unique 22-carbon-metabolism-gene-signature of increased expression. This gene signature was further verified in multiple microarray data sets, and its prognostic value was also proven by HCC patients' survival data from TCGA. Additionally, the tumorigenic function of two representative genes, CS and ACSS1, were validated experimentally by cell growth and spheroid formation assays. The current study provides evidence for the reprogramming of the co-regulation network between carbon metabolism and cancer pathway genes in HCC. In addition, this study also reveals a unique 22-carbon-metabolism-gene-expression-signature in HCC. Strategies targeting these genes may represent new therapeutic approaches for HCC treatment.
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.