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评估血清蛋白质组学以检测大肠腺瘤。

Assessment of serum proteomics to detect large colon adenomas.

作者信息

Ransohoff David F, Martin Christopher, Wiggins Wesley S, Hitt Ben A, Keku Temitope O, Galanko Joseph A, Sandler Robert S

机构信息

Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7080, USA.

出版信息

Cancer Epidemiol Biomarkers Prev. 2008 Aug;17(8):2188-93. doi: 10.1158/1055-9965.EPI-07-2767.

Abstract

A noninvasive blood test that could reliably detect early colorectal cancer or large adenomas would provide an important advance in colon cancer screening. The purpose of this study was to determine whether a serum proteomics assay could discriminate between persons with and without a large (> or =1 cm) colon adenoma. To avoid problems of "bias" that have affected many studies about molecular markers for diagnosis, specimens were obtained from a previously conducted study of colorectal cancer etiology in which bloods had been collected before the presence or absence of neoplasm had been determined by colonoscopy, helping to assure that biases related to differences in sample collection and handling would be avoided. Mass spectra of 65 unblinded serum samples were acquired using a nanoelectrospray ionization source on a QSTAR-XL mass spectrometer. Classification patterns were developed using the ProteomeQuest algorithm, performing measurements twice on each specimen, and then applied to a blinded validation set of 70 specimens. After removing 33 specimens that had discordant results, the "test group" comprised 37 specimens that had never been used in training. Although in the primary analysis, no discrimination was found, a single post hoc analysis, done after hemolyzed specimens had been removed, showed a sensitivity of 78%, a specificity of 53%, and an accuracy of 63% (95% confidence interval, 53-72%). The results of this study, although preliminary, suggest that further study of serum proteomics, in a larger number of appropriate specimens, could be useful. They also highlight the importance of understanding sources of "noise" and "bias" in studies of proteomics assays.

摘要

一种能够可靠检测早期结直肠癌或大腺瘤的非侵入性血液检测方法将为结肠癌筛查带来重要进展。本研究的目的是确定血清蛋白质组学检测能否区分患有和未患有大(≥1厘米)结肠腺瘤的人群。为避免影响许多关于诊断分子标志物研究的“偏差”问题,标本取自先前一项关于结直肠癌病因的研究,在通过结肠镜检查确定是否存在肿瘤之前就已采集血液,这有助于确保避免与样本采集和处理差异相关的偏差。使用QSTAR-XL质谱仪上的纳米电喷雾电离源获取65份未盲法血清样本的质谱图。使用ProteomeQuest算法建立分类模式,对每个标本进行两次测量,然后应用于70份标本的盲法验证集。在剔除33份结果不一致的标本后,“测试组”包括37份从未用于训练的标本。虽然在初步分析中未发现有区分能力,但在去除溶血标本后进行的一次事后分析显示,灵敏度为78%,特异性为53%,准确率为63%(95%置信区间,53 - 72%)。本研究结果虽然是初步的,但表明在更多合适的标本中对血清蛋白质组学进行进一步研究可能会有帮助。它们还突出了在蛋白质组学检测研究中理解“噪声”和“偏差”来源的重要性。

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