ArticleOncotarget2016
Transcriptome sequencing identified hub genes for hepatocellular carcinoma by weighted-gene co-expression analysis.
Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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Who cites it
13 citing papers in PubMed, 19 citations in OpenAlex.
- Bioinformatics analysis combined with untargeted metabolomics reveals lipid metabolism-related genes and their biological markers in chronic spontaneous urticaria.Frontiers in genetics · 2025Article
- Transcriptome analysis creates a new era of precision medicine for managing recurrent hepatocellular carcinoma.World journal of gastroenterology · 2023Review
- Inflammation-Related Gene Signature for Predicting the Prognosis of Head and Neck Squamous Cell Carcinoma.International journal of general medicine · 2022Article
- Article
- Role of CYP4F2 as a novel biomarker regulating malignant phenotypes of liver cancer cells via the Nrf2 signaling axis.Oncology letters · 2020Article
- DNA and RNA sequencing identified a novel oncogene VPS35 in liver hepatocellular carcinoma.Oncogene · 2020Article
- Article
- Construction of a Comprehensive Multiomics Map of Hepatocellular Carcinoma and Screening of Possible Driver Genes.Frontiers in genetics · 2020Article
- Transcriptomic Analysis of mRNA-lncRNA-miRNA Interactions in Hepatocellular Carcinoma.Scientific reports · 2019Article
- Integrated bioinformatics analysis to identify 15 hub genes in breast cancer.Oncology letters · 2019Article
- Association between the expression of carbonic anhydrase II and clinicopathological features of hepatocellular carcinoma.Oncology letters · 2019Article
- Article
- Profiling, clinicopathological correlation and functional validation of specific long non-coding RNAs for hepatocellular carcinoma.Molecular cancer · 2017Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatocellular carcinoma (HCC) is one of the most common malignancies worldwide, and it remains a challenge to understand the genetic mechanisms underlying hepatocarcinogenesis. A global gene network of differential expression profiles in HCC has yet to be fully characterized. In the present study, we performed transcriptome sequencing (mRNA and lncRNA) in liver cancer and cirrhotic tissues of nine HCC patients. We identified differentially expressed genes (DEGs) and constructed a weighted gene co-expression network for the DEGs. In total, 755 DEGs (747 mRNA and eight lncRNA) were identified, and several co-expression modules were significantly associated with HCC clinical traits, including tumor location, tumor grade, and the α-fetoprotein (AFP) level. Of note, we identified 15 hub genes in the module associated with AFP level, and three (SPX, AFP and ADGRE1) of four hub genes were validated in an independent HCC cohort (n=78). Identification of hub genes for HCC clinical traits has implications for further understanding of the molecular genetic basis of HCC.
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Registered trials
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