ArticleNature communications2018
Dynamic network biomarker indicates pulmonary metastasis at the tipping point of hepatocellular carcinoma.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers.
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131 citing papers in PubMed, 261 citations in OpenAlex.
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- Identifying Tipping Points during Healthy Brain Aging through Single-Nucleus Transcriptomic Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- RPL6 Interacts with HMGCS1 to Stabilize HIF-1α by Promoting Cholesterol Production in Hepatocellular Carcinoma.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Quantifying Individual Health Status from Multi-omics Data by Health State Manifold.Phenomics (Cham, Switzerland) · 2025Article
- Lenvatinib Plus Paclitaxel as Second-Line Therapy for Advanced Gastric Cancer Patients: A Dose Escalation Exploratory Study.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Development of a predictive model for lung metastasis in hepatocellular carcinoma patients: insights from SEER database analysis.Updates in surgery · 2025Article
- sPGGM: a sample-perturbed Gaussian graphical model for identifying pre-disease stages and signaling molecules of disease progression.National science review · 2025Article
- Identification of dynamic network biomarkerMolecular therapy. Oncology · 2025Article
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- Identification of the Cellular Tipping Point in the Inflammation Model of LPS-Induced RAW264.7 Macrophages Through Raman Spectroscopy and the Dynamical Network Biomarker Theory.Molecules (Basel, Switzerland) · 2025Article
71 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Developing predictive biomarkers that can detect the tipping point before metastasis of hepatocellular carcinoma (HCC), is critical to prevent further irreversible deterioration. To discover such early-warning signals or biomarkers of pulmonary metastasis in HCC, we analyse time-series gene expression data in spontaneous pulmonary metastasis mice HCCLM3-RFP model with our dynamic network biomarker (DNB) method, and identify CALML3 as a core DNB member. All experimental results of gain-of-function and loss-of-function studies show that CALML3 could indicate metastasis initiation and act as a suppressor of metastasis. We also reveal the biological role of CALML3 in metastasis initiation at a network level, including proximal regulation and cascading influences in dysfunctional pathways. Our further experiments and clinical samples show that DNB with CALML3 reduced pulmonary metastasis in liver cancer. Actually, loss of CALML3 predicts shorter overall and relapse-free survival in postoperative HCC patients, thus providing a prognostic biomarker and therapy target in HCC.
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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.