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对同一组织进行代谢物分析和组织学分析:前列腺癌的全面代谢组学分析和代谢分类。

Metabolite Analysis and Histology on the Exact Same Tissue: Comprehensive Metabolomic Profiling and Metabolic Classification of Prostate Cancer.

机构信息

Department of Chemistry, University of Alberta, Edmonton, Alberta, Canada.

Departments of Pathology and Molecular Biology and Microbiology, Eastern Virginia Medical School, Virginia, US.

出版信息

Sci Rep. 2016 Aug 31;6:32272. doi: 10.1038/srep32272.

Abstract

We report a method of metabolomic profiling of intact tissue based on molecular preservation by extraction and fixation (mPREF) and high-performance chemical isotope labeling (CIL) liquid chromatography mass spectrometry (LC-MS). mPREF extracts metabolites by aqueous methanol from tissue biopsies without altering tissue architecture and thus conventional histology can be performed on the same tissue. In a proof-of-principle study, we applied dansylation LC-MS to profile the amine/phenol submetabolome of prostate needle biopsies from 25 patient samples derived from 16 subjects. 2900 metabolites were consistently detected in more than 50% of the samples. This unprecedented coverage allowed us to identify significant metabolites for differentiating tumor and normal tissues. The panel of significant metabolites was refined using 36 additional samples from 18 subjects. Receiver Operating Characteristic (ROC) analysis showed area-under-the-curve (AUC) of 0.896 with sensitivity of 84.6% and specificity of 83.3% using 7 metabolites. A blind study of 24 additional validation samples gave a specificity of 90.9% at the same sensitivity of 84.6%. The mPREF extraction can be readily implemented into the existing clinical workflow. Our method of combining mPREF with CIL LC-MS offers a powerful and convenient means of performing histopathology and discovering or detecting metabolite biomarkers in the same tissue biopsy.

摘要

我们报告了一种基于分子保存的完整组织代谢组学分析方法,该方法通过提取和固定(mPREF)以及高效化学同位素标记(CIL)液相色谱-质谱(LC-MS)实现。mPREF 通过水甲醇从组织活检中提取代谢物,而不会改变组织结构,因此可以在同一块组织上进行常规组织学检查。在一项原理验证研究中,我们应用 Dansyl LC-MS 对 16 名受试者的 25 名患者样本的前列腺针活检组织进行胺/酚亚代谢组学分析。在超过 50%的样本中一致检测到 2900 种代谢物。这种前所未有的覆盖范围使我们能够识别出区分肿瘤和正常组织的重要代谢物。使用 18 名受试者的另外 36 个样本对显著代谢物进行了精炼。使用 7 种代谢物进行接收器操作特性(ROC)分析显示曲线下面积(AUC)为 0.896,灵敏度为 84.6%,特异性为 83.3%。对 24 个额外验证样本的盲法研究在保持 84.6%的灵敏度的情况下特异性为 90.9%。mPREF 提取可以很容易地纳入现有的临床工作流程。我们将 mPREF 与 CIL LC-MS 相结合的方法为在同一组织活检中进行组织病理学检查和发现或检测代谢物生物标志物提供了一种强大而便捷的手段。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c10a/5006072/8650f2835a7a/srep32272-f1.jpg

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