Anderson Casandra, Nijagal Amar, Kim Joseph
Department of General Oncologic Surgery, City of Hope National Medical Center, Duarte, California 91010, USA.
Mol Diagn Ther. 2006;10(6):345-52. doi: 10.1007/BF03256211.
Gastric cancer is the second most common cancer worldwide. Treatment of localized gastric cancer relies primarily on surgical intervention, although growing evidence suggests that the addition of chemoradiation may improve disease-free intervals and overall survival. In this regard, the current high rates of recurrence and subsequent poor survival have prompted an ever-increasing use of multimodal strategies, even for early-stage disease. However, these therapies are often limited by debilitating toxicities and varying degrees of response efficacy. As a result, pharmacogenomics, the study of specific genetic and molecular signatures that may be predictive of treatment outcomes, has gained considerable interest. For example, studies have demonstrated that the expression of enzymes involved in the metabolism or conjugation of commonly used chemotherapy agents, such as fluoropyrimidines and cisplatin, can serve as surrogate markers predictive of chemotherapy response. Polymorphisms in the genes encoding these enzymes have also been identified and may further account for altered expression patterns, resulting in varied clinical responses. Future work is necessary to further refine the list of molecular genetic markers and to identify novel markers for prognostic and predictive purposes. Technologies such as microarray analysis may be useful in identifying new molecular genetic markers, and further work may determine whether these markers can be employed to help stratify patients into different multimodal treatment regimens.
胃癌是全球第二大常见癌症。局限性胃癌的治疗主要依赖手术干预,不过越来越多的证据表明,加用放化疗可能会改善无病生存期和总生存期。在这方面,目前较高的复发率以及随之而来的较差生存率促使多模式治疗策略的使用日益增加,即便对于早期疾病也是如此。然而,这些疗法常常受到严重毒性和不同程度的反应疗效的限制。因此,药物基因组学,即研究可能预测治疗结果的特定基因和分子特征,已引起了相当大的关注。例如,研究表明,参与常用化疗药物(如氟嘧啶和顺铂)代谢或结合的酶的表达可作为预测化疗反应的替代标志物。编码这些酶的基因中的多态性也已被识别,可能进一步解释表达模式的改变,从而导致不同的临床反应。未来有必要进一步完善分子遗传标志物清单,并识别用于预后和预测目的的新标志物。诸如微阵列分析等技术可能有助于识别新的分子遗传标志物,进一步的研究可能会确定这些标志物是否可用于帮助将患者分层到不同的多模式治疗方案中。