Xu Tao, Su Bojin, Huang Peiyu, Wei Weihong, Deng Yanming, Sehgal Vasudha, Wang Donghui, Jiang Jun, Zhang Guoyi, Li Anfei, Yang Huiling, Claret Francois X
Department of Radiation Oncology, Cancer Center, First People's Hospital of Foshan, Foshan, P. R., China.
Department of Pathophysiology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, P. R., China.
Proteomics Clin Appl. 2017 May;11(5-6). doi: 10.1002/prca.201600090. Epub 2016 Dec 29.
In patients with Epstein-Barr virus (EBV) associated nasopharyngeal carcinoma (NPC), intertumor heterogeneity causes interpatient heterogeneity in the risk of distant metastasis. We aimed to identify novel biomarkers of metastasis risk using reverse phase protein array (RPPA) profiling of NPC patients at risk for metastasis and considering plasma EBV DNA load.
A total of 98 patients with NPC with and without metastasis after treatment, matched with respect to clinical parameters, are enrolled. Total protein expression is measured by RPPA, and protein functions are analyzed by pathway bioinformatics.
The RPPA analysis revealed a profile of 70 proteins that are differentially expressed in metastatic and nonmetastatic tumors. Plasma EBV DNA load after treatment correlated with protein expression level better than plasma EBV DNA load before treatment did. The biomarkers of NPC metastasis identified by proteomics regulate signaling pathways involved in cell cycle progression, apoptosis, and epithelial-mesenchymal transition. The authors identified 26 biomarkers associated with 5-year distant failure-free survival in univariate analysis; five biomarkers remained significant in multivariate analysis.
A comprehensive RPPA profiling study is warranted to identify novel metastasis-related biomarkers and further examine the activation state of signaling proteins to improve estimation of metastasis risk for patients with EBV-associated NPC.
在爱泼斯坦-巴尔病毒(EBV)相关鼻咽癌(NPC)患者中,肿瘤间异质性导致患者间远处转移风险存在异质性。我们旨在通过对有转移风险的NPC患者进行反相蛋白质阵列(RPPA)分析并考虑血浆EBV DNA载量,来识别转移风险的新型生物标志物。
共纳入98例治疗后有无转移的NPC患者,这些患者在临床参数方面相互匹配。通过RPPA测量总蛋白表达,并通过通路生物信息学分析蛋白功能。
RPPA分析揭示了70种在转移性和非转移性肿瘤中差异表达的蛋白质谱。治疗后的血浆EBV DNA载量与蛋白表达水平的相关性优于治疗前的血浆EBV DNA载量。通过蛋白质组学鉴定的NPC转移生物标志物调节参与细胞周期进程、细胞凋亡和上皮-间质转化的信号通路。作者在单变量分析中鉴定出26种与5年远处无失败生存率相关的生物标志物;在多变量分析中,5种生物标志物仍然显著。
有必要进行全面的RPPA分析研究,以识别新型转移相关生物标志物,并进一步检查信号蛋白的激活状态,以改善对EBV相关NPC患者转移风险的评估。