Garamszegi Susanna P, Garamszegi Nandor
Sarcoma Biology Laboratory of Sylvester Comprehensive Cancer Center at University of Miami Miller School of Medicine 1550 NW 10th Ave., Miami FL 33136, USA.
Curr Mol Pharmacol. 2011 May 10.
Tumorigenesis is regulated by the complex cell-matrix signalling interactions that incorporate feedback mechanisms from constantly evolving microenvironments. Under normal circumstances, these matrix signalling processes together with infiltrating immune cells tightly control the extent of tissue remodelling. They are the key elements of regulated homeostatic repair of local matrix architecture and biological function. In contrast, the pathological tumorigenesis employing similar mechanisms and cellular components to change cellular phenotype promoting proliferation and transformation. However, there is a significant knowledge gap in our understanding about the network integration of different matrix induced signalling processes and their connection to drug side effects. Using epithelial tumorigenesis as a model system, we show that drug actions and pathological conditions are associated with crosstalk signalling mechanisms. These processes functionally integrate microenvironmental cues and generate representative gene expression profiles that are different from those generated by the native ligand-driven signalling mechanisms. Particularly in this review, we are focusing on crosstalk signalling processes that are sensitive to transforming growth factor receptor type I (TbRI) inhibitor A83-01 (3-(6-Methyl-2-pyridinyl)-N-phenyl-4-(4-quinolinyl)-1H-pyrazole-1-carbothioamide). This process is affecting inflammatory gene expression, epithelial to mesenchymal transition, migration, proliferation, and changes in metastatic gene expressional patterns. As a result, phenotypic and functional modifications to cells and their immediate microenvironments are unavoidable. Here we demonstrate that future screening strategies for unintended drug side effects from molecular to systemic levels would benefit from future crosstalk signalling analysis. Thorough analysis could be used to forecast the diverse and highly variable gene expression patterns caused by pathological microenvironmental conditions which become apparent only in larger patient populations.
肿瘤发生受复杂的细胞-基质信号相互作用调控,这些相互作用包含来自不断演变的微环境的反馈机制。在正常情况下,这些基质信号过程与浸润的免疫细胞一起严格控制组织重塑的程度。它们是局部基质结构和生物学功能的稳态修复调控的关键要素。相比之下,病理性肿瘤发生利用类似的机制和细胞成分来改变细胞表型,促进增殖和转化。然而,我们对不同基质诱导的信号过程的网络整合及其与药物副作用的联系的理解存在重大知识空白。以上皮肿瘤发生作为模型系统,我们表明药物作用和病理状况与串扰信号机制相关。这些过程在功能上整合微环境线索并产生与天然配体驱动的信号机制所产生的不同的代表性基因表达谱。特别是在本综述中,我们关注对I型转化生长因子受体(TbRI)抑制剂A83-01(3-(6-甲基-2-吡啶基)-N-苯基-4-(4-喹啉基)-1H-吡唑-1-碳硫酰胺)敏感的串扰信号过程。这一过程影响炎症基因表达、上皮-间质转化、迁移、增殖以及转移基因表达模式的变化。结果,对细胞及其直接微环境的表型和功能修饰是不可避免的。在此我们证明,从分子水平到系统水平的意外药物副作用的未来筛选策略将受益于未来的串扰信号分析。深入分析可用于预测由病理微环境条件引起的多样且高度可变的基因表达模式,这些模式仅在更大的患者群体中才会明显显现。