Quantitative Modeling and Analysis of the Transforming Growth Factor Beta Signaling Pathway

Wednesday, November 19, 2008: 10:15 AM
Washington C Room (Loews Philadelphia Hotel)

Seung-Wook Chung, Department of Chemical Engineering, University of Delaware, Newark, DE
Fayth L. Miles, Department of Biological Sciences, University of Delaware, Newark, DE
Carlton R. Cooper, Department of Biological Sciences, University of Delaware, Newark, DE
Mary C. Farach-Carson, Department of Biological Sciences, University of Delaware, Newark, DE
Babatunde A. Ogunnaike, Department of Chemical Engineering, University of Delaware, Newark, DE

Transforming growth factor β (TGF-β) signaling regulates a wide range of cellular and physiologic processes including proliferation, cell survival, differentiation, migration, angiogenesis, and immune surveillance. It is therefore not surprising that this ligand plays a significant role in the development and progression of cancer. The current consensus is that TGF-β affects tumor pathogenesis both positively and negatively, functioning as a tumor suppressor in the premalignant stages of tumorigenesis and apparently as a tumor promoter in later stages of cancer leading to metastasis. Despite the prominent roles of TGF-β in both normal and cancerous cellular processes, the detailed mechanisms of how TGF-β induces such diverse and sometimes contradictory responses remain poorly understood. To help understand TGF-β signaling quantitatively, we have developed a dynamic mathematical model of the canonical TGF-β pathway via Smad transcription factors, the major intracellular mediators of the signaling cascades, based on reported experimental observations in literature. By describing how an extracellular signal of the TGF-β ligand is sensed by receptors and transmitted into the nucleus through intracellular Smad proteins, the model yields quantitative insight into how TGF-β-induced responses can be modulated and regulated. Considering that Smad nuclear accumulation is necessary for transcriptional regulation, our model analysis reveals that mechanisms associated with Smad activation by ligand-activated receptor, nuclear complex formation between Smad proteins, and inactivation of ligand-activated Smad (e.g. degradation, dephosphorylation) may be critical for regulating TGF-β-targeted functional responses by affecting the intensity and duration of nuclear retention of Smad proteins. The model also predicts possible dynamic behavior of the Smad-mediated pathway in abnormal cells, and provides clues regarding possible mechanisms for explaining the seemingly contradictory roles of TGF-β during cancer progression. Based on the reported observations that TGF-β receptors are abnormally altered in a variety of human cancers, simulations of cancerous signaling using our model indicate that reduction in the levels of functional receptors may lead to altered TGF-β signaling behavior where tumor suppression characteristics are lost as a result of attenuated and transient Smad nuclear accumulation. Considering the differences in the dynamics of transcriptionally active Smad in the nucleus between the normal and cancerous signaling systems, the TGF-β paradox may be partially explained by a hypothesis that signaling thresholds of anti-oncogenic responses are different from those of pro-oncogenic responses.

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