ArticleBMC genomics2012
Differential combinatorial regulatory network analysis related to venous metastasis of hepatocellular carcinoma.
Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
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Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 83 citations in OpenAlex.
- Differential networking meta-analysis of gastric cancer across Asian and American racial groups.BMC systems biology · 2018Pooled it
- Promising significance of the association of miR-204-5p expression with clinicopathological features of hepatocellular carcinoma.Medicine · 2017Pooled it
- Comprehensive analysis of the RBP regulome reveals functional modules and drug candidates in liver cancer.Scientific reports · 2026Article
- Differentially expressed discriminative genes and significant meta-hub genes based key genes identification for hepatocellular carcinoma using statistical machine learning.Scientific reports · 2023Article
- ADAM metallopeptidase domain 12 overexpression correlates with prognosis and immune cell infiltration in clear cell renal cell carcinoma.Bioengineered · 2022Article
- The role of non-coding RNAs in chemotherapy for gastrointestinal cancers.Molecular therapy. Nucleic acids · 2021Review
- Inference of phenotype-relevant transcriptional regulatory networks elucidates cancer type-specific regulatory mechanisms in a pan-cancer study.NPJ systems biology and applications · 2021Article
- Integrating Multi-Omics Data for Gene-Environment Interactions.Biotech (Basel (Switzerland)) · 2021Article
- Using Tumor-Infiltrating Immune Cells and a ceRNA Network Model to Construct a Prognostic Analysis Model of Thyroid Carcinoma.Frontiers in oncology · 2021Article
- Atractylenolide II reverses the influence of lncRNA XIST/miR-30a-5p/ROR1 axis on chemo-resistance of colorectal cancer cells.Journal of cellular and molecular medicine · 2019Article
- Predicting Value of ALCAM as a Target Gene of microRNA-483-5p in Patients with Early Recurrence in Hepatocellular Carcinoma.Frontiers in pharmacology · 2017Article
- MicroRNA-204-5p inhibits invasion and metastasis of laryngeal squamous cell carcinoma by suppressing forkhead box C1.Journal of Cancer · 2017Article
- Biological Networks for Cancer Candidate Biomarkers Discovery.Cancer informatics · 2016Review
- Deregulation of microRNA expression in peripheral blood mononuclear cells from patients with HCV-related malignancies.Hepatology international · 2015Article
- MicroRNAs Expressed during Viral Infection: Biomarker Potential and Therapeutic Considerations.Biomarker insights · 2015Review
- Differential network analysis reveals dysfunctional regulatory networks in gastric carcinogenesis.American journal of cancer research · 2015Article
- Identifying prognostic features by bottom-up approach and correlating to drug repositioning.PloS one · 2015Article
- MiR-30a-5p suppresses cell growth and enhances apoptosis of hepatocellular carcinoma cells via targeting AEG-1.International journal of clinical and experimental pathology · 2015Article
- Pathway activity inference for multiclass disease classification through a mathematical programming optimisation framework.BMC bioinformatics · 2014Article
- Algorithms for network-based identification of differential regulators from transcriptome data: a systematic evaluation.Science China. Life sciences · 2014Article
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Authors and funding
10 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHepatocellular carcinoma (HCC) is one of the most fatal cancers in the world, and metastasis is a significant cause to the high mortality in patients with HCC. However, the molecular mechanism behind HCC metastasis is not fully understood. Study of regulatory networks may help investigate HCC metastasis in the way of systems biology profiling.
methodsBy utilizing both sequence information and parallel microRNA(miRNA) and mRNA expression data on the same cohort of HBV related HCC patients without or with venous metastasis, we constructed combinatorial regulatory networks of non-metastatic and metastatic HCC which contain transcription factor(TF) regulation and miRNA regulation. Differential regulation patterns, classifying marker modules, and key regulatory miRNAs were analyzed by comparing non-metastatic and metastatic networks.
resultsGlobally TFs accounted for the main part of regulation while miRNAs for the minor part of regulation. However miRNAs displayed a more active role in the metastatic network than in the non-metastatic one. Seventeen differential regulatory modules discriminative of the metastatic status were identified as cumulative-module classifier, which could also distinguish survival time. MiR-16, miR-30a, Let-7e and miR-204 were identified as key miRNA regulators contributed to HCC metastasis.
conclusionIn this work we demonstrated an integrative approach to conduct differential combinatorial regulatory network analysis in the specific context venous metastasis of HBV-HCC. Our results proposed possible transcriptional regulatory patterns underlying the different metastatic subgroups of HCC. The workflow in this study can be applied in similar context of cancer research and could also be extended to other clinical topics.
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