前列腺特异性抗原:1997年更新。

D W Chan, L J Sokoll
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摘要

前列腺特异性抗原(PSA)是前列腺癌最重要的肿瘤标志物,尽管它不是一个完美的标志物,因为它不是癌症特异性的。PSA是人激肽激酶家族的一员,在血清中以两种分子形式存在:游离和与蛋白酶抑制剂络合。PSA现在通常在采用单克隆或多克隆抗体的自动免疫分析系统上测量。不同测定法的结果可能不同,因为有些测定法不是等摩尔的,对自由和复杂形式的反应不同。利用分子形式的PSA是提高PSA检测的敏感性和特异性的一种方法。前列腺癌患者的PSA与α - 1抗凝乳素(ACT)结合的比例高于无癌患者。在前列腺癌和良性前列腺增生(BPH)重叠的诊断灰色地带(通常为4-10微克/升总PSA),测量游离PSA与总PSA之比已被证明可消除16%至79%的不必要活检。游离到总PSA的临界值受选择的敏感性和特异性值、所使用的总PSA的反射范围、游离PSA测定方法的差异、所研究人群的差异以及总PSA浓度、年龄和前列腺大小等因素的影响。除了PSA的分子形式外,年龄特异性参考范围、PSA浓度变化率(PSA速度)、血清PSA与前列腺体积之比(PSA密度)和神经网络衍生指标已被用于提高PSA测量的临床效用。
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Prostate-specific antigen: update 1997.

Prostate-specific antigen (PSA) is the most important tumor marker for prostate cancer, although it is not a perfect marker as it is not cancer-specific. PSA, a member of the human kallikrein family, is present in two molecular forms in serum: free and complexed to protease inhibitors. PSA is now commonly measured on automated immunoassay systems employing monoclonal or polyclonal antibodies. Results from different assays can vary since some assays are not equimolar and react to the free and complexed forms differently. Utilization of the molecular forms of PSA is one approach to improve the sensitivity and specificity of the PSA assay. Patients with prostate cancer have a greater percentage of PSA bound to alpha1-antichymotripsin (ACT) than those without cancer. Measurement of the free to total PSA ratio in the diagnostic gray zone (usually 4-10 micrograms/liter of total PSA), where prostate cancer and benign prostatic hyperplasia (BPH) overlap, has been shown to eliminate between 16 and 79% of unnecessary biopsies. Free to total PSA cutoffs are influenced by the sensitivity and specificity values chosen, the reflex range for total PSA used, differences in free PSA assays, differences in populations studied, and factors such as total PSA concentrations, age, and prostate gland size. In addition to the molecular forms of PSA, age-specific reference ranges, rate of change of PSA concentrations (PSA velocity), ratio of serum PSA to prostate volume (PSA density), and neural network derived indices have been employed to improve the clinical utility of PSA measurements.

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