摘要
目的:检测酪氨酸激酶受体2(Tie2)在结直肠癌(CRC)组织中的表达,探讨Tie2表达对CRC患者的预后预测价值以及抗血管内皮生长因子(VEGF)治疗的疗效预测价值。方法:采用免疫组化检测91例接受结直肠癌根治术患者的肿瘤组织及癌旁组织中Tie2表达,结合患者的临床特征及预后进行统计分析;采用酶联免疫吸附试验检测35例行抗VEGF治疗的晚期CRC患者外周血的Tie2浓度,统计分析患者预后。结果:Tie2的表达高低与临床分期之间存在相关性(P<0.05);Tie2低表达的患者术后具有更良好的DFS以及OS(P<0.01);在组织中,Tie2高表达是影响患者DFS和OS的独立预后因素;在外周血中,Tie2低浓度的患者接受抗VEGF治疗具有更长的PFS(P<0.05)。结论:在组织中,Tie2表达水平与CRC患者预后密切相关;在外周血中,Tie2浓度与晚期CRC患者接受贝伐株单抗治疗的疗效相关。
Objective:To detect Tie2 expression in colorectal cancer(CRC)tissue and investigate its predictive value in the prognosis of patients with CRC and anti-VEGF therapy efficacy.Methods:Immunohistochemistry was used to detect Tie2 expression in the cancer and adjacent tissues obtained from 91 patients undergone radical resection of colorectal cancer,and then the Tie2 expression was statistically analyzed together with the clinical characteristics and prognosis of patients.Tie2 concentration in peripheral blood was measured using ELISA in the 35 advanced CRC patients treated with anti-VEGF,and patients'prognosis was statistically analyzed.Results:The expression level of Tie2 was correlated with clinical staging(P<0.05).Patients with low Tie2 expression had better postoperative disease-free survival and overall survival(DFS and OS,P<0.01).High expression of Tie2 in tissues was an independent prognostic factor affecting DFS and OS.Patients with low concentration of Tie2 in peripheral blood undergone anti-VEGF therapy had longer PFS(P<0.05).Conclusion:The expression level of Tie2 in tissues is closely related to the prognosis of CRC patients.Tie2 concentration in peripheral blood is associated with the efficacy of bevacizumab medication in advanced CRC patients.
作者
郑慧芬
杨蔚清
朱益平
ZHENG Huifen;YANG Weiqing;ZHU Yiping(Department of Oncology,The First Affiliated Hospital of Wannan Medical College,Wuhu 241001,China)
出处
《皖南医学院学报》
CAS
2023年第6期524-527,共4页
Journal of Wannan Medical College
基金
皖南医学院重点科研基金项目(WK2020ZF09)。
关键词
结直肠癌
酪氨酸激酶受体2
血管内皮生长因子
生物标志物
colorectal cancer
tyrosine-protein kinase receptor 2
vascular endothial growth factor
biomarker