实现 FFPE 组织的常规蛋白质组分析:1,200 例泛癌症研究的启示

Johanna Tueshaus, Stephan Eckert, Marius Fraefel, Yuxiang Zhou, Pauline Pfeiffer, Christiane Halves, Federico Fusco, Johannes Weigl, Lisa Hönikl, Vicki Butenschön, Rumyana Todorova, Hilka Rauert-Wunderlich, Matthew The, Andreas Rosenwald, Volker Heinemann, Julian Walter Holch, Bernhard Meyer, Wilko Weichert, Carolin Mogler, Peer-Hendrik Kuhn, Bernhard Küster
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引用次数: 0

摘要

福尔马林固定石蜡包埋(FFPE)标本的蛋白质组图谱分析在分析癌症组织以发现分子生物标记物方面受到了越来越多的关注。然而,迄今为止的报道主要集中在单一癌症实体上,包含的病例相对较少,而且没有对实验工作流程的长期性能进行评估。在这里,我们分析了来自六个癌症实体的 1220 例肿瘤,历时三年。主要发现包括:需要一种新的归一化方法,确保LC-MS/MS分析的样品装载量相同且具有可重复性;显示肿瘤平均可分析4000个蛋白质;发现目前的软件无法处理如此大的数据集。我们报告了首个全面的泛癌症蛋白质组表达资源,该资源用于FFPE材料,包含11,000个蛋白质,可通过网络资源直接提供给科学界。它可以进行一系列分析,包括对不同患者或组群之间的蛋白质进行定量比较,或发现代表原发组织的蛋白质指纹,或某些癌症实体中富集的蛋白质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards routine proteome profiling of FFPE tissue: Insights from a 1,200 case pan-cancer study
Proteome profiling of formalin-fixed paraffin-embedded (FFPE) specimens has gained traction for the analysis of cancer tissue for the discovery of molecular biomarkers. However, reports so far focused on single cancer entities, comprised relatively few cases and did not assess the long-term performance of experimental workflows. Here, we did so by analyzing 1,220 tumors from six cancer entities processed over the course of three years. Key findings include the need for a new normalization method ensuring equal and reproducible sample loading for LC-MS/MS analysis across cohorts, showing that tumors can, on average, be profiled to a depth of >4,000 proteins and discovering that current software fails to process such large data sets. We report the first comprehensive pan-cancer proteome expression resource for FFPE material comprising 11,000 proteins which is of immediate utility to the scientific community by way of a web resource. It enables a range of analysis including quantitative comparisons of proteins between patients or cohorts or the discovery of protein fingerprints representing the tissue of origin, or proteins enriched in certain cancer entities.
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