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MALDI imaging mass spectrometry reveals multiple clinically relevant masses in colorectal cancer using large-scale tissue microarrays

机译:MALDI成像质谱测量使用大规模组织微阵列显示结直肠癌中的多种临床相关群体

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摘要

For identification of clinically relevant masses to predict status, grade, relapse and prognosis of colorectal cancer, we applied Matrix-assisted laser desorption ionization (MALDI) imaging mass spectrometry (IMS) to a tissue micro array containing formalin-fixed and paraffin-embedded tissue samples from 349 patients. Analysis of our MALDI-IMS data revealed 27 different m/z signals associated with epithelial structures. Comparison of these signals showed significant association with status, grade and Ki-67 labeling index. Fifteen out of 27 IMS signals revealed a significant association with survival. For seven signals (m/z 654, 776, 788, 904, 944, 975 and 1013) the absence and for eight signals (m/z 643, 678, 836, 886, 898, 1095, 1459 and 1477) the presence were associated with decreased life expectancy, including five masses (m/z 788, 836, 904, 944 and 1013) that provided prognostic information independently from the established prognosticators pT and pN. Combination of these fivemasses resulted in a three-step classifier that provided prognostic information superior to univariate analysis. In addition, a total of 19 masses were associated with tumor stage, grade, metastasis and cell proliferation. Our data demonstrate the suitability of combining IMS and large-scale tissue micro arrays to simultaneously identify and validate clinically useful molecular marker. Copyright (C) 2017 John Wiley & Sons, Ltd.
机译:为了识别临床相关肿块以预测结直肠癌的状态、分级、复发和预后,我们将基质辅助激光解吸电离(MALDI)成像质谱(IMS)应用于包含来自349名患者的福尔马林固定和石蜡包埋组织样本的组织微阵列。对MALDI-IMS数据的分析显示,27种不同的m/z信号与上皮结构有关。这些信号的比较显示与状态、等级和Ki-67标记指数显著相关。27个IMS信号中有15个与存活率显著相关。对于七个信号(m/z 654、776、788、904、944、975和1013)的缺失和八个信号(m/z 643、678、836、886、898、1095、1459和1477)的缺失与预期寿命降低有关,包括五个肿块(m/z 788、836、904、944和1013),它们独立于已确定的预测者pT和pN提供预后信息。这五个肿块的组合产生了一个三步分类器,它提供的预后信息优于单变量分析。此外,共有19个肿块与肿瘤分期、分级、转移和细胞增殖有关。我们的数据表明,IMS和大规模组织微阵列相结合,可以同时识别和验证临床上有用的分子标记物。版权所有(C)2017约翰威利父子有限公司。

著录项

  • 来源
    《Journal of mass spectrometry: JMS》 |2017年第3期|共9页
  • 作者单位

    Univ Med Ctr Hamburg Eppendorf Dept Pathol Martinistr 52 D-20246 Hamburg Germany;

    Univ Med Ctr Hamburg Eppendorf Dept Pathol Martinistr 52 D-20246 Hamburg Germany;

    Univ Med Ctr Hamburg Eppendorf Dept Pathol Martinistr 52 D-20246 Hamburg Germany;

    Univ Med Ctr Hamburg Eppendorf Dept Pathol Martinistr 52 D-20246 Hamburg Germany;

    Univ Med Ctr Hamburg Eppendorf Dept Pathol Martinistr 52 D-20246 Hamburg Germany;

    Univ Med Ctr Hamburg Eppendorf Dept Gen Visceral &

    Thorac Surg Martinistr 52 D-20246 Hamburg Germany;

    Univ Med Ctr Hamburg Eppendorf Dept Clin Chem Martinistr 52 D-20246 Hamburg Germany;

    Univ Med Ctr Hamburg Eppendorf Dept Pathol Martinistr 52 D-20246 Hamburg Germany;

    Univ Med Ctr Hamburg Eppendorf Dept Pathol Martinistr 52 D-20246 Hamburg Germany;

    Univ Med Ctr Hamburg Eppendorf Dept Pathol Martinistr 52 D-20246 Hamburg Germany;

    Univ Med Ctr Hamburg Eppendorf Dept Pathol Martinistr 52 D-20246 Hamburg Germany;

    Univ Med Ctr Hamburg Eppendorf Dept Pathol Martinistr 52 D-20246 Hamburg Germany;

    Univ Med Ctr Hamburg Eppendorf Dept Pathol Martinistr 52 D-20246 Hamburg Germany;

    Univ Med Ctr Hamburg Eppendorf Dept Pathol Martinistr 52 D-20246 Hamburg Germany;

    Univ Med Ctr Hamburg Eppendorf Dept Pathol Martinistr 52 D-20246 Hamburg Germany;

    Univ Med Ctr Hamburg Eppendorf Dept Clin Chem Martinistr 52 D-20246 Hamburg Germany;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 分析化学;
  • 关键词

    MALDI; colon cancer; tissue microarray;

    机译:None;

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