Journal
CANCER RESEARCH
Volume 74, Issue 21, Pages 5963-5977Publisher
AMER ASSOC CANCER RESEARCH
DOI: 10.1158/0008-5472.CAN-14-0225
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Funding
- NIH [F30DK093234]
- NSF [IIS 1161001, PHY 1205840]
- Direct For Computer & Info Scie & Enginr
- Div Of Information & Intelligent Systems [1161007] Funding Source: National Science Foundation
- Direct For Mathematical & Physical Scien
- Division Of Physics [1205840] Funding Source: National Science Foundation
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Epithelial-to-mesenchymal transition (EMT) is a developmental process hijacked by cancer cells to leave the primary tumor site, invade surrounding tissue, and establish distant metastases. A hallmark of EMT is the loss of E-cadherin expression, and one major signal for the induction of EMT is TGF beta, which is dysregulated in up to 40% of hepatocellular carcinoma (HCC). We have constructed an EMT network of 70 nodes and 135 edges by integrating the signaling pathways involved in developmental EMT and known dysregulations in invasive HCC. We then used discrete dynamic modeling to understand the dynamics of the EMT network driven by TGF beta. Our network model recapitulates known dysregulations during the induction of EMT and predicts the activation of the Wnt and Sonic hedgehog (SHH) signaling pathways during this process. We show, across multiple murine (P2E and P2M) and human HCC cell lines (Huh7, PLC/PRF/5, HLE, and HLF), that the TGF beta signaling axis is a conserved driver of mesenchymal phenotype HCC and confirm that Wnt and SHH signaling are induced in these cell lines. Furthermore, we identify by network analysis eight regulatory feedback motifs that stabilize the EMT process and show that these motifs involve cross-talk among multiple major pathways. Our model will be useful in identifying potential therapeutic targets for the suppression of EMT, invasion, and metastasis in HCC. (C) 2014 AACR.
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