Dynamic network biomarker indicates pulmonary metastasis at the tipping point of hepatocellular carcinoma.
Dynamic network biomarker indicates pulmonary metastasis at the tipping point of hepatocellular carcinoma.
复制标题
动态网络生物标志物表明肝细胞癌临界点的肺转移
DOI:
10.1038/s41467-018-03024-2
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发表时间:
2018-02-14
影响因子:
16.6
通讯作者:
Xia J
中科院分区:
文献类型:
--
作者:
Yang B;Li M;Tang W;Liu W;Zhang S;Chen L;Xia J
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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