Izzo Julie G, Luthra Rajyalakshmi, Sims-Mourtada Jennifer, Chao K S Clifford, Lee Jeffrey H, Wu Tsung-The, Correa Arlene M, Luthra Madan, Aggarwal Bharat, Hung Mien-Chie, Ajani Jaffer A
Department of Experimental Therapeutics.
Gastrointest Cancer Res. 2007;1(4 Suppl 2):S3-6.
The phenotypic progression to esophageal cancer is driven by an ongoing process of genomic instability constituting a number of clonal variants and leading to outgrowth of the "fittest" abnormal cell clones. Factors contributing to this process include exposure to chronic tissue damage, host susceptibilities, and alterations of molecular circuitries implicated in tissue homeostasis. Characterization of the host modifiers and molecular alterations will likely lead to the discovery of biomarkers useful for constructing stratified models defining cancer risk, allowing early detection, prediction of response to primary or secondary intervention, and prognostic evaluation of the disease. In addition, identification of key biologic pathways driving esophageal tumorigenesis will lead to development of new targeted interventions. The advent of increasingly sophisticated "omics" (ie, genomics, transcriptomics, proteomics, kinomics, pharmacogenomics), integration of systems biology, and expansion of biologic platforms bridging developmental physio-biology to cancer pathology constitute the backbone of novel tumor classifications and tailored therapies based on molecular signatures and profiles. Promising molecular targets, particularly those implicated in tissue homeostasis and stem cell maintenance, and their potential use in predictive models will be discussed.
食管癌的表型进展是由基因组不稳定的持续过程驱动的,该过程产生了许多克隆变体,并导致“最适应”的异常细胞克隆生长。促成这一过程的因素包括暴露于慢性组织损伤、宿主易感性以及与组织稳态相关的分子通路改变。对宿主修饰因子和分子改变的表征可能会发现有助于构建定义癌症风险的分层模型、实现早期检测、预测对初次或二次干预的反应以及对疾病进行预后评估的生物标志物。此外,确定驱动食管肿瘤发生的关键生物学途径将推动新的靶向干预措施的开发。日益复杂的“组学”(即基因组学、转录组学、蛋白质组学、激酶组学、药物基因组学)的出现、系统生物学的整合以及将发育生理生物学与癌症病理学联系起来的生物平台的扩展,构成了基于分子特征和图谱的新型肿瘤分类和个性化治疗的基础。将讨论有前景的分子靶点,特别是那些与组织稳态和干细胞维持相关的靶点,以及它们在预测模型中的潜在应用。