肿瘤标志物的联合检测在肺癌诊断中的临床价值
Diagnostic value of combined detection of serum tumor markers in patients with lung cancer
李莹 1陈玲玲 1姜浩 1冯军1
作者信息
- 1. 河北省承德市中心医院检验科 067000
- 折叠
摘要
目的 探讨血清中CEA、CA125、NSE和CYFRA21-1四种肿瘤标志物联合检测在不同组织类型肺癌中的临床诊断价值,方法 采用电化学发光免疫分析技术测定116例肺癌患者及65例健康人血清中的CEA、CA125、NSE利CYFRA21-1水平.结果 CYFRA21-1、NSE、CEA、CA125四项肿瘤标志物肺癌组检测水平均显著高于对照组(P＜0.01),肿瘤标志物测定水平与病理组织类型有关.其中CYFRA21-1在鳞癌及腺癌的阳性率分别为73.21％、63.64％；NSE在小细胞肺癌的阳性率为62.50％ ;CEA和CA125检测的阳性率及血清水平以腺癌最高;四项联合检测的阳性率为82.76％.结论 血清CEA、CA125、NSE和CYFRA21-1的联合检测有助于提高肺癌的诊断效率,并对组织分型有较高的参考价值.
Abstract
Objective To investigate the clinical value of combined measurement of serum CEA,CA125,NSE,CY-FRA21-1 for the diagnosis of lung cancer. Methods One hundred and sixteen patients with lung cancer confirmed histologically were studied.The levels of CEA.CA125 CYFRA21-1.NSE were assayed and compared between the lung cancer group (116 cases) and healthy control group(65 cases) by electrochemiluminesence immunoassay. Results The levels of CYFRA21-1 ,NSE,CEA,and CA125 in the lung cancer group were significantly higher than those in the control group(P<0.01). The levels of serum CEA,CA125,CYFRA 21-1 and NSE were related to types of pathology. The highest positive rates of CYFRA 21-1 for squamous cell carcinoma were 73. 21% and 63. 64％ for ade-nocarcinoma;The positivity of NSE for small cell lung cancer (SCLC) was 62.50% ;The higher levels and positivity of CEA and CA125 appeared in adenocarcinoma. Their combined detection could markedly improve the positivity for lung cancer detection (82. 76%). Conclusion CEA.CA125 .CYFRA21-1 and NSE are useful for the diagnosis of the lung cancer and histological type,especially combining detection of the four serum tumor markers. MeSH:Lung Neoplasms/metabolism; Carcinoembryonic Antigen/Blood; CA-125 Antigen/Blood; Phosphopyruvate
关键词
肺肿瘤/代谢/癌胚抗原/血液/CA-125抗原/血液/磷酸丙酮酸水合酶/血液/抗原,肿瘤/血液/角蛋白质类/血液Key words
Lung Neoplasms/metabolism/Carcinoembryonic Antigen/Blood/CA-125 Antigen/Blood/Phosphopyruvate Hydratase/Blood/Antigens/Neoplasm/Blood/Keratins/Blood引用本文复制引用
出版年
2012
NETL
NSTL
维普
万方数据