Hsing Ann W, Stanczyk Frank Z, Bélanger Alain, Schroeder Paul, Chang Lilly, Falk Roni T, Fears Thomas R
Division of Cancer Epidemiology and Genetics, National Cancer Institute, EPS 5024, MSC 7234, 6120 Executive Boulevard, Bethesda, MD 20852-7234, USA.
Cancer Epidemiol Biomarkers Prev. 2007 May;16(5):1004-8. doi: 10.1158/1055-9965.EPI-06-0792.
There is an increasing trend to apply gas chromatography combined with mass spectrometry (GC-MS) or liquid chromatography tandem mass spectrometry (LC-MS/MS) assay methods to large-scale epidemiologic studies for the measurement of serum sex steroids. These methods are generally considered the gold standard for sex steroid measurements because of their accuracy, sensitivity, turnaround time, and ability to assess a more complete panel of steroid metabolites in the same run. In this report, we evaluated the precision, including within-batch (intra) and between-batch (inter) reproducibility, of steroid hormone measurements determined by GC-MS and LC-MS/MS assays and RIA and compared measurements among these methods. Specifically, 282 overnight fasting serum samples from 20 male volunteers were analyzed for 12 steroid metabolites by GC-MS or LC-MS/MS in one lab over a 4-month period. Six of the analytes were also measured by RIA in another lab. Unconjugated hormones, including testosterone, dihydrotestosterone, dehydroepiandrosterone, androstenedione, androst-5-ene-3beta,17beta-diol, estrone, and estradiol, were measured by GC-MS, whereas conjugated hormones, including DHEA sulfate, androsterone glucuronide, 5alpha-androstane-3alpha,17beta-diol 3-glucuronide, 5alpha-androstane-3alpha,17beta-diol 17-glucuronide, and estrone sulfate, were measured by LC-MS/MS. A subset of these hormones, including testosterone, dihydrotestosterone, androstenedione, 5alpha-androstane-3alpha,17beta-diol 17-glucuronide, estrone, and estradiol, were also measured by RIA following extraction and chromatography. We used the coefficient of variation (CV) and the intraclass correlation coefficient (ICC) to assess within- and between-batch assay variations. For the 12 analytes measured by GC-MS or LC-MS/MS, CVs and ICCs for within- and between-batch measurements were similar, with CVs ranging from 6.1% to 21.4% and ICCs ranging from 87.6% to 99.2%. The six analytes measured by RIA had good CVs and ICCs, with CVs <10% and ICCs >70% (range, 71.7-99.7%). For the six metabolites that were measured by both methods, the CVs were similar, whereas the ICCs were generally higher with the GC-MS method. The absolute values for each analyte measured by RIA and GC-MS differed, with RIAs usually yielding markedly higher levels than GC-MS, although the Pearson and Spearman correlation coefficients for these six analytes were near one and all were significant (P < 0.001). Our results show that RIA, GC-MS, and LC-MS/MS assays for androgens and estrogens in the two labs included in the study have good reproducibility, as measured by small CVs (<15%) and high ICCs (>80%), with the exception of estradiol (71.7%) when measured by RIA. Despite substantial differences in absolute measurements of sex steroid hormones by RIA and MS methods, correlations between the two assays for the six sex steroids measured in the two labs were high (>0.9). However, it is important for future large epidemiologic studies to incorporate MS with high reproducibility and specificity to measure a more complete profile of androgen and estrogen metabolites to clarify the role of sex steroids in prostate cancer.
将气相色谱与质谱联用(GC-MS)或液相色谱串联质谱(LC-MS/MS)分析方法应用于大规模流行病学研究以测定血清性激素的趋势日益增加。由于其准确性、灵敏度、周转时间以及在同一次运行中评估更完整的类固醇代谢物组的能力,这些方法通常被认为是性激素测量的金标准。在本报告中,我们评估了通过GC-MS、LC-MS/MS分析以及放射免疫分析(RIA)测定的类固醇激素测量的精密度,包括批内(组内)和批间(组间)的重现性,并比较了这些方法之间的测量结果。具体而言,在4个月的时间里,一个实验室对来自20名男性志愿者的282份过夜空腹血清样本进行了GC-MS或LC-MS/MS分析,以检测12种类固醇代谢物。其中6种分析物也在另一个实验室通过RIA进行了测量。未结合的激素,包括睾酮、二氢睾酮、脱氢表雄酮、雄烯二酮、5-烯-3β,17β-二醇、雌酮和雌二醇,通过GC-MS进行测量,而结合的激素,包括硫酸脱氢表雄酮、雄酮葡糖苷酸、5α-雄烷-3α,17β-二醇3-葡糖苷酸、5α-雄烷-3α,17β-二醇17-葡糖苷酸和硫酸雌酮,通过LC-MS/MS进行测量。这些激素中的一部分,包括睾酮、二氢睾酮、雄烯二酮、5α-雄烷-3α,17β-二醇17-葡糖苷酸、雌酮和雌二醇,在提取和色谱分析后也通过RIA进行了测量。我们使用变异系数(CV)和组内相关系数(ICC)来评估批内和批间分析的变异。对于通过GC-MS或LC-MS/MS测量的12种分析物,批内和批间测量的CV和ICC相似,CV范围为6.1%至21.4%,ICC范围为87.6%至9至99.2%。通过RIA测量的6种分析物具有良好的CV和ICC,CV<10%,ICC>70%(范围为71.7 - 99.7%)。对于两种方法都测量的6种代谢物,CV相似,而GC-MS方法的ICC通常更高。通过RIA和GC-MS测量的每种分析物的绝对值不同,RIA通常产生明显高于GC-MS的水平,尽管这6种分析物的Pearson和Spearman相关系数接近1且均具有显著性(P<0.001)。我们的结果表明,在该研究纳入的两个实验室中,用于雄激素和雌激素的RIA、GC-MS和LC-MS/MS分析具有良好的重现性,通过小CV(<15%)和高ICC(>80%)来衡量,RIA测量雌二醇时除外(71.7%)。尽管RIA和质谱方法在性激素激素的绝对测量上存在显著差异,但两个实验室中测量的6种性激素的两种分析方法之间的相关性很高(>0.9)。然而,对于未来的大型流行病学研究而言,纳入具有高重现性和特异性的质谱方法以测量更完整的雄激素和雌激素代谢物谱,从而阐明性激素在前列腺癌中的作用非常重要。