Nelson Erik A, Sharma Sreenath V, Settleman Jeffrey, Frank David A
Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Oncotarget. 2011 Jun;2(6):518-24. doi: 10.18632/oncotarget.296.
STAT transcription factors transduce signals from the cell surface to the nucleus, where they regulate the expression of genes that control proliferation, survival, self-renewal, and other critical cellular functions. Under normal physiological conditions, the activation of STATs is tightly regulated. In cancer, by contrast, STAT proteins, particularly STAT3 and STAT5, become activated constitutively, thereby driving the malignant phenotype of cancer cells. Since these proteins are largely dispensable in the function of normal adult cells, STATs represent a potentially important target for cancer therapy. Although transcription factors have traditionally been viewed as suboptimal targets for pharmacological inhibition, chemical biology approaches have been particularly fruitful in identifying compounds that can modulate this pathway through a variety of mechanisms. STAT inhibitors have notable anti-cancer effects in many tumor systems, show synergy with other therapeutic modalities, and have the potential to eradicate tumor stem cells. Furthermore, STAT inhibitors identified through the screening of chemical libraries can then be employed in large scale analyses such as gene expression profiling, RNA interference screens, or large-scale tumor cell line profiling. Data derived from these studies can then provide key insights into mechanisms of STAT signal transduction, as well as inform the rational design of targeted therapeutic strategies for cancer patients.
信号转导和转录激活因子(STAT)转录因子将信号从细胞表面传递至细胞核,在细胞核中它们调控那些控制细胞增殖、存活、自我更新及其他关键细胞功能的基因的表达。在正常生理条件下,STAT的激活受到严格调控。相比之下,在癌症中,STAT蛋白,尤其是STAT3和STAT5,持续被激活,从而驱动癌细胞的恶性表型。由于这些蛋白在正常成年细胞的功能中很大程度上是可有可无的,STAT成为癌症治疗中一个潜在的重要靶点。尽管转录因子传统上被认为是药理学抑制的次优靶点,但化学生物学方法在鉴定能够通过多种机制调节这一信号通路的化合物方面特别富有成效。STAT抑制剂在许多肿瘤系统中具有显著的抗癌作用,与其他治疗方式具有协同作用,并且有根除肿瘤干细胞的潜力。此外,通过化学文库筛选鉴定出的STAT抑制剂随后可用于大规模分析,如基因表达谱分析、RNA干扰筛选或大规模肿瘤细胞系分析。从这些研究中获得的数据能够为STAT信号转导机制提供关键见解,并为癌症患者靶向治疗策略的合理设计提供依据。