ArticlePloS one2012
Functional and topological properties in hepatocellular carcinoma transcriptome.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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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.
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Who cites it
19 citing papers in PubMed, 27 citations in OpenAlex.
- Article
- Differential methylation patterns in lean and obese non-alcoholic steatohepatitis-associated hepatocellular carcinoma.BMC cancer · 2022Article
- Network analysis of hepatocellular carcinoma liquid biopsies augmented by single-cell sequencing data.Frontiers in genetics · 2022Article
- Exploring the Multicomponent Synergy Mechanism of Yinzhihuang Granule in Inhibiting Inflammation-Cancer Transformation of Hepar Based on Integrated Bioinformatics and Network Pharmacology.BioMed research international · 2022Article
- Article
- Identification of Time-Invariant Biomarkers for Non-Genotoxic Hepatocarcinogen Assessment.International journal of environmental research and public health · 2020Article
- Stemness Related Genes Revealed by Network Analysis Associated With Tumor Immune Microenvironment and the Clinical Outcome in Lung Adenocarcinoma.Frontiers in genetics · 2020Article
- Network-based integrated analysis of omics data reveal novel players of TGF-β1-induced EMT in human peritoneal mesothelial cells.Scientific reports · 2019Article
- Overexpression of the ASPM gene is associated with aggressiveness and poor outcome in bladder cancer.Oncology letters · 2019Article
- Effects of harmaline on cell growth of human liver cancer through the p53/p21 and Fas/FasL signaling pathways.Oncology letters · 2018Article
- NIMA-related kinase 2 regulates hepatocellular carcinoma cell growth and proliferation.Oncology letters · 2017Article
- Novel chemoimmunotherapeutic strategy for hepatocellular carcinoma based on a genome-wide association study.Scientific reports · 2016Article
- CDKN3 expression is negatively associated with pathological tumor stage and CDKN3 inhibition promotes cell survival in hepatocellular carcinoma.Molecular medicine reports · 2016Article
- Expression of aurora kinase A correlates with the Wnt-modulator RACGAP1 in gastric cancer.Cancer medicine · 2016Article
- Identifying hepatocellular carcinoma-related genes and pathways by system biology analysis.Irish journal of medical science · 2015Article
- Gene network-based analysis identifies two potential subtypes of small intestinal neuroendocrine tumors.BMC genomics · 2014Article
- Identification of the RNA recognition element of the RBPMS family of RNA-binding proteins and their transcriptome-wide mRNA targets.RNA (New York, N.Y.) · 2014Article
- Article
- Deregulation of microcephalin and ASPM expression are correlated with epithelial ovarian cancer progression.PloS one · 2014Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
Hepatocellular carcinoma (HCC) is a leading cause of global cancer mortality. However, little is known about the precise molecular mechanisms involved in tumor formation and pathogenesis. The primary goal of this study was to elucidate genome-wide molecular networks involved in development of HCC with multiple etiologies by exploring high quality microarray data. We undertook a comparative network analysis across 264 human microarray profiles monitoring transcript changes in healthy liver, liver cirrhosis, and HCC with viral and alcoholic etiologies. Gene co-expression profiling was used to derive a consensus gene relevance network of HCC progression that consisted of 798 genes and 2,012 links. The HCC interactome was further confirmed to be phenotype-specific and non-random. Additionally, we confirmed that co-expressed genes are more likely to share biological function, but not sub-cellular localization. Analysis of individual HCC genes revealed that they are topologically central in a human protein-protein interaction network. We used quantitative RT-PCR in a cohort of normal liver tissue (n = 8), hepatitis C virus (HCV)-induced chronic liver disease (n = 9), and HCC (n = 7) to validate co-expressions of several well-connected genes, namely ASPM, CDKN3, NEK2, RACGAP1, and TOP2A. We show that HCC is a heterogeneous disorder, underpinned by complex cross talk between immune response, cell cycle, and mRNA translation pathways. Our work provides a systems-wide resource for deeper understanding of molecular mechanisms in HCC progression and may be used further to define novel targets for efficient treatment or diagnosis of this disease.
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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.