首页> 外文期刊>Endocrine Connections >Combined test of serum CgA and NSE improved the power of prognosis prediction of NF-pNETs
【24h】

Combined test of serum CgA and NSE improved the power of prognosis prediction of NF-pNETs

机译:血清CgA和NSE的联合检测提高了NF-pNETs预后的预测能力

获取原文
       

摘要

Purpose Chromogranin A (CgA) and neuron-specific enolase (NSE) are important markers for neuroendocrine tumors; however, the clinical value of combining these markers has not been well studied. In this study, we investigated the utility of each marker individually and in combination for patients with nonfunctional pancreatic neuroendocrine tumors (NF-pNETs). Patients and Methods In this study, NF-pNET patients and controls were recruited from December 2011 to March 2016; 784 serum samples from peripheral vein were collected. The clinical characteristics and biomarker values of all the individuals were recorded and analyzed. Tumor burdens were calculated by CT/MRI scan. Receiver-operating characteristic curves were constructed to assess the diagnostic predictive values; sensitivity and specificity were calculated to determine the cut-off value. Therapeutic responses reflected on the changes of the biomarkers’ concentration were assessed by the RECIST criterion. Clinical relations between the prognosis and the biomarker values were also analyzed. Statistical significance was defined as P value less than 0.05. Results Among the 167 NF-pNETs patients, 82 were males (49.1%) and the mean age was 50.0 (17.4). The mean CgA values of G1, G2 and G3 NF-pNENs were 75, 121 and 134?μg/L ( P ?
机译:目的嗜铬粒蛋白A(CgA)和神经元特异性烯醇化酶(NSE)是神经内分泌肿瘤的重要标志物。然而,结合这些标志物的临床价值尚未得到很好的研究。在这项研究中,我们调查了每种标记物单独或联合用于非功能性胰腺神经内分泌肿瘤(NF-pNETs)患者的效用。患者和方法在本研究中,从2011年12月至2016年3月招募了NF-pNET患者和对照组。从外周静脉收集了784份血清样品。记录并分析所有个体的临床特征和生物标志物值。通过CT / MRI扫描计算肿瘤负担。构建接收者操作特征曲线以评估诊断预测值;计算敏感性和特异性以确定临界值。通过RECIST标准评估了反映生物标志物浓度变化的治疗反应。还分析了预后和生物标志物值之间的临床关系。统计显着性定义为P值小于0.05。结果167例NF-pNETs患者中,男性82例(49.1%),平均年龄50.0例(17.4)。 G1,G2和G3 NF-pNENs的平均CgA值分别为75、121和134?μg/ L(P≤0.05)。在NF-pNETs中,CgA与WHO肿瘤等级相关(WHO G1 vs G2,P <0.05);肿瘤负荷(胰腺和肝脏)与CgA浓度之间存在线性回归关系(P≤0.001)。 CgA和NSE浓度的变化也反映了治疗反应(P <0.001)。结论CgA和NSE是NF-pNETs患者的重要诊断和随访指标。 CgA和NSE的联合监测在预测预后和疾病进展方面比CgA和NSE的单独值具有更高的准确性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号