Arbiser Jack L
Department of Dermatology, Emory University School of Medicine, WMB 5309, 1639 Pierce Drive, Atlanta, GA 30322, USA.
Semin Cancer Biol. 2004 Apr;14(2):81-91. doi: 10.1016/j.semcancer.2003.09.013.
A large number of oncogenes, tumor suppressor genes, and signal transduction pathways have been described. Currently, a framework that allows prediction of tumor behavior based upon oncogenes, tumor suppressors, and signal transduction pathways is lacking. In 1869, Mendeleev published a periodic table of elements which allowed prediction of properties of elements based upon atomic weights that allowed prediction of chemical and physical properties of elements yet to be discovered. In this paper, I will discuss recurrent patterns of synergy found in the literature and our laboratory between tumor suppressor genes, oncogenes, and signaling pathways that allows one to predict the signaling pathway in a given tumor based upon the inactivation of a tumor suppressor gene. These patterns can be found in multiple different human neoplasms. Conversely, one can predict the inactivation of a tumor suppressor based upon the activation status of a signaling pathway. This knowledge can be used by a clinician or pathologist with access to immunohistochemistry to make predictions based upon simple technologies and determine the signaling pathways involved in a patient's tumor. These strategies may be useful in the design of prevention and treatment strategies for cancer.
大量的癌基因、肿瘤抑制基因和信号转导通路已被描述。目前,缺乏一个基于癌基因、肿瘤抑制基因和信号转导通路来预测肿瘤行为的框架。1869年,门捷列夫发表了元素周期表,该表基于原子量预测元素性质,从而能够预测尚未发现的元素的化学和物理性质。在本文中,我将讨论文献及我们实验室中发现的肿瘤抑制基因、癌基因和信号通路之间协同作用的复发模式,这些模式能让人们基于肿瘤抑制基因的失活来预测特定肿瘤中的信号通路。这些模式可在多种不同的人类肿瘤中发现。相反,人们可以根据信号通路的激活状态来预测肿瘤抑制基因的失活。临床医生或病理学家若能进行免疫组织化学检测,便可利用这些知识,基于简单技术进行预测,并确定患者肿瘤中涉及的信号通路。这些策略可能有助于癌症预防和治疗策略的设计。