Tao Chang-Juan, Lin Gang, Xu Ya-Ping, Mao Wei-Min
1. Department of Radiation Oncology, Zhejiang Cancer Hospital, No. 38 Guangji Rd., Hangzhou, Zhejiang, 310022, China.
2. Department of Thoracic Surgery, Zhejiang Cancer Hospital, No. 38 Guangji Rd., Hangzhou, Zhejiang, 310022, China.
J Cancer. 2015 Sep 15;6(11):1179-86. doi: 10.7150/jca.12346. eCollection 2015.
Currently, the most promising strategy to improve the prognosis of advanced esophageal cancer is neoadjuvant chemoradiation (CRT) followed by surgery. However, patients who achieved pathological complete response can experience more survival benefit. Therefore, it is critical to identify the responders early in the course of treatment. Published data demonstrate that clinic-histopathological factors, molecular biomarkers, and functional imaging are predictive of neoadjuvant therapy. The existing biomarkers, including epidermal growth factor receptors, angiogenetic factors, transcription factors, tumor suppressor genes, cell cycle regulators, nucleotide excision repair pathway, cytokines, and chemotherapy associated genes, need to be validated and novel biomarkers warrant further exploration. Positron emission tomography (PET) is useful for differentiating the responders of neoadjuvant CRT. The most valuable parameters and the time point of performing PET in the course of treatment remains to be elucidated. Furthermore, predictive models incorporating the multiple categories of factors need to be established with a large, prospective, and homogeneous patient cohort in the future. Standardization of staging, biomarker detection method, and image acquisition protocol will be critical for the generalization of this model. Prospective, multi-center controlled trials, which stratified patients according to these predictive factors, will help guide individualized treatment strategies for patients with esophageal cancer.
目前,改善晚期食管癌预后最有前景的策略是新辅助放化疗(CRT)后行手术治疗。然而,达到病理完全缓解的患者能获得更多生存益处。因此,在治疗过程中尽早识别反应者至关重要。已发表的数据表明,临床组织病理学因素、分子生物标志物和功能成像可预测新辅助治疗效果。现有的生物标志物,包括表皮生长因子受体、血管生成因子、转录因子、肿瘤抑制基因、细胞周期调节因子、核苷酸切除修复途径、细胞因子和化疗相关基因,需要进行验证,新的生物标志物值得进一步探索。正电子发射断层扫描(PET)有助于鉴别新辅助CRT的反应者。在治疗过程中进行PET检查最有价值的参数和时间点仍有待阐明。此外,未来需要通过大型、前瞻性和同质化的患者队列建立包含多类因素的预测模型。分期、生物标志物检测方法和图像采集方案的标准化对于该模型的推广至关重要。根据这些预测因素对患者进行分层的前瞻性、多中心对照试验将有助于指导食管癌患者的个体化治疗策略。