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Dynamic network biomarker indicates pulmonary metastasis at the tipping point of hepatocellular carcinoma

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  • Biwei Yang

    (Fudan University)

  • Meiyi Li

    (Fudan University/Institute of Fudan-Minhang Academic Health System, Minhang Hospital, Fudan University
    University of Chinese Academy of Sciences)

  • Wenqing Tang

    (Fudan University)

  • Weixin Liu

    (University of Chinese Academy of Sciences
    ShanghaiTech University)

  • Si Zhang

    (Fudan University)

  • Luonan Chen

    (University of Chinese Academy of Sciences
    ShanghaiTech University)

  • Jinglin Xia

    (Fudan University
    Fudan University/Institute of Fudan-Minhang Academic Health System, Minhang Hospital, Fudan University)

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.

Suggested Citation

  • Biwei Yang & Meiyi Li & Wenqing Tang & Weixin Liu & Si Zhang & Luonan Chen & Jinglin Xia, 2018. "Dynamic network biomarker indicates pulmonary metastasis at the tipping point of hepatocellular carcinoma," Nature Communications, Nature, vol. 9(1), pages 1-14, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-03024-2
    DOI: 10.1038/s41467-018-03024-2
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    Cited by:

    1. Xiaoshen Zhang & Kai Xiao & Yaokai Wen & Fengying Wu & Guanghui Gao & Luonan Chen & Caicun Zhou, 2024. "Multi-omics with dynamic network biomarker algorithm prefigures organ-specific metastasis of lung adenocarcinoma," Nature Communications, Nature, vol. 15(1), pages 1-19, December.

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