Uemura Norihisa, Kondo Tadashi
Norihisa Uemura, Department of Gastroenterological Surgery, Aichi Cancer Center Hospital, Nagoya 464-8681, Aichi, Japan.
World J Gastrointest Pathophysiol. 2014 Aug 15;5(3):322-34. doi: 10.4291/wjgp.v5.i3.322.
Neoadjuvant therapy has been proven to be extremely valuable and is widely used for advanced esophageal cancer. However, a significant proportion of treated patients (60%-70%) does not respond well to neoadjuvant treatments and develop severe adverse effects. Therefore, predictive markers for individualization of multimodality treatments are urgently needed in esophageal cancer. Recently, molecular biomarkers that predict the response to neoadjuvant therapy have been explored in multimodal approaches in esophageal cancer and successful examples of biomarker identification have been reported. In this review, promising candidates for predictive molecular biomarkers developed by using multiple molecular approaches are reviewed. Moreover, treatment strategies based on the status of predicted biomarkers are discussed, while considering the international differences in the clinical background. However, in the absence of adequate treatment options related to the results of the biomarker test, the usefulness of these diagnostic tools is limited and new effective therapies for biomarker-identified nonresponders to cancer treatment should be concurrent with the progress of predictive technologies. Further improvement in the prognosis of esophageal cancer patients can be achieved through the introduction of novel therapeutic approaches in clinical practice.
新辅助治疗已被证明具有极高的价值,并广泛应用于晚期食管癌。然而,相当一部分接受治疗的患者(60%-70%)对新辅助治疗反应不佳,并出现严重的不良反应。因此,食管癌迫切需要用于多模式治疗个体化的预测标志物。最近,在食管癌的多模式治疗中探索了预测新辅助治疗反应的分子生物标志物,并且已经报道了生物标志物鉴定的成功案例。在这篇综述中,对使用多种分子方法开发的预测分子生物标志物的有前景的候选物进行了综述。此外,在考虑临床背景的国际差异的同时,还讨论了基于预测生物标志物状态的治疗策略。然而,在缺乏与生物标志物检测结果相关的充分治疗选择的情况下,这些诊断工具的实用性有限,并且针对生物标志物鉴定为癌症治疗无反应者的新的有效疗法应与预测技术的进展同步进行。通过在临床实践中引入新的治疗方法,可以进一步改善食管癌患者的预后。