期刊
CLINICA CHIMICA ACTA
卷 521, 期 -, 页码 70-75出版社
ELSEVIER
DOI: 10.1016/j.cca.2021.06.030
关键词
LC-MS; MS; Steroids; Testosterone; Androgen deprivation therapy; Prostate cancer; Biological variation
A sensitive LC-MS/MS method was used to monitor serum testosterone levels in castrated prostate cancer patients, with subsequent estimation of within- and between-subject biological variation. Testosterone levels were significantly higher in the ENZA group compared to the CAS group. Overall, variation components were mainly attributed to between-patient variation, and both groups exhibited high individuality.
Background: A sensitive liquid chromatography tandem-mass spectrometry (LC-MS/MS) method was used to monitor serum testosterone levels in castrated prostate cancer patients. We subsequently performed an observational and retrospective study to estimate the within- and between-subject biological variation of these patients. Methods: In total, 474 samples from 72 prostate cancer patients in the Netherlands receiving either chemical castration (CAS) or castration plus enzalutamide (ENZA) treatment were selected for data analysis. ANOVA was performed to estimate analytical variation (CVA) and within-patient variation (CVI). A nested ANOVA was applied to estimate between-patient variation (CVG). From these data, the reference change value (RCV) and analytical performance specifications (APS) were calculated. Results: Testosterone levels were significantly higher in the ENZA group (0.318 vs. 0.191 nmol/L, p < 0.005) than the CAS group. Overall, variation components were estimated at 6.1%, 24.6% and 60.3% for CVA, CVI and CVG, respectively. Both groups showed high individuality (<0.6). The RCV was 70.3% for all patients. Desirable APS were 12.3% for imprecision, 16.3% for bias and 26.4% for total error. Conclusion: The generated APS are valuable for sensitive testosterone assays and the high individuality indicates that castrated testosterone levels can be studied as a predictive or prognostic biomarker in prostate cancer patients.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据