首页> 美国卫生研究院文献>British Journal of Cancer >A prospective study of serum tumour markers carcinoembryonic antigen carbohydrate antigens 50 and 242 tissue polypeptide antigen and tissue polypeptide specific antigen in the diagnosis of pancreatic cancer with special reference to multivariate diagnostic score.
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A prospective study of serum tumour markers carcinoembryonic antigen carbohydrate antigens 50 and 242 tissue polypeptide antigen and tissue polypeptide specific antigen in the diagnosis of pancreatic cancer with special reference to multivariate diagnostic score.

机译:血清肿瘤标志物癌胚抗原糖类抗原50和242组织多肽抗原和组织多肽特异性抗原在胰腺癌诊断中的前瞻性研究特别涉及多因素诊断评分。

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摘要

The aim of this study was to assess by a stepwise multivariate discriminant analysis the value of four current serum tumour markers - carcinoembryonic antigen (CEA), carbohydrate antigen (CA) 50 and CA 242 and tissue polypeptide antigen (TPA) - and a new serum tumour marker, tissue polypeptide specific antigen (TPS), in the diagnosis of pancreatic cancer. The serum values were measured in a prospective series of patients with jaundice, with unjaundiced cholestasis and with a suspicion of chronic pancreatitis or a pancreatic tumour (n = 193). There were 24 patients with a cancer of the pancreas and two patients with a cancer of the papilla of Vater in this series. Our results showed that CA 50 (P < 0.001) and TPA (P < 0.01) were the best marker tests in predicting pancreatic malignancy. Also, the TPS (P = 0.07) and CA 242 (P = 0.08) tests showed marginally significant independent discriminating power, while the CEA test did not (P = 0.12). In order to sum up the contributions of different markers, a diagnostic score (DSI) was developed. The discrimination function was: DS1 = CA 50 x 1.75 + TPA x 0.62 + TPS x (-0.37) + CA 242 x (-1.21). The sensitivity of DS1 in detecting pancreatic cancer was 36% with a specificity of 90% and an efficiency of 82%. When the combination of CA 50 and TPA was used as a test, the discrimination function (DS2) was: DS2 = CA 50 x 0.69 + TPA x 0.67. The sensitivity of DS2 was 44% with a 88% specificity and an efficiency of 82%. According to this analysis, the further advantage gained by a computer-aided scoring system seems to be limited, since despite the considerably high specificity and efficiency its sensitivity remained low. In the present analysis the best combination in diagnosing pancreatic cancer was the combination of CA 50 and TPA.
机译:这项研究的目的是通过逐步多变量判别分析来评估四种当前血清肿瘤标志物-癌胚抗原(CEA),碳水化合物抗原(CA)50和CA 242和组织多肽抗原(TPA)-以及新血清的价值肿瘤标志物,组织多肽特异性抗原(TPS),在胰腺癌的诊断中。在一系列前瞻性黄疸,未黄疸胆汁淤积,怀疑患有慢性胰腺炎或胰腺肿瘤的患者中测量血清值(n = 193)。该系列中有24例胰腺癌患者和2例Vater乳头癌患者。我们的结果表明,CA 50(P <0.001)和TPA(P <0.01)是预测胰腺恶性肿瘤的最佳标志物检测。而且,TPS(P = 0.07)和CA 242(P = 0.08)测试显示出了显着的独立显着能力,而CEA测试则没有(P = 0.12)。为了总结不同标记的贡献,开发了诊断评分(DSI)。判别函数为:DS1 = CA 50 x 1.75 + TPA x 0.62 + TPS x(-0.37)+ CA 242 x(-1.21)。 DS1检测胰腺癌的敏感性为36%,特异性为90%,效率为82%。当使用CA 50和TPA的组合作为测试时,判别函数(DS2)为:DS2 = CA 50 x 0.69 + TPA x 0.67。 DS2的灵敏度为44%,特异性为88%,效率为82%。根据该分析,计算机辅助评分系统获得的其他优势似乎受到限制,因为尽管特异性和效率相当高,但其灵敏度仍然很低。在本分析中,诊断胰腺癌的最佳组合是CA 50和TPA的组合。

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