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高通量蛋白质组学分析 FFPE 组织样本有助于肿瘤分层。

High-throughput proteomic analysis of FFPE tissue samples facilitates tumor stratification.

机构信息

Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.

Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China.

出版信息

Mol Oncol. 2019 Nov;13(11):2305-2328. doi: 10.1002/1878-0261.12570. Epub 2019 Sep 18.


DOI:10.1002/1878-0261.12570
PMID:31495056
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6822243/
Abstract

Formalin-fixed, paraffin-embedded (FFPE), biobanked tissue samples offer an invaluable resource for clinical and biomarker research. Here, we developed a pressure cycling technology (PCT)-SWATH mass spectrometry workflow to analyze FFPE tissue proteomes and applied it to the stratification of prostate cancer (PCa) and diffuse large B-cell lymphoma (DLBCL) samples. We show that the proteome patterns of FFPE PCa tissue samples and their analogous fresh-frozen (FF) counterparts have a high degree of similarity and we confirmed multiple proteins consistently regulated in PCa tissues in an independent sample cohort. We further demonstrate temporal stability of proteome patterns from FFPE samples that were stored between 1 and 15 years in a biobank and show a high degree of the proteome pattern similarity between two types of histological regions in small FFPE samples, that is, punched tissue biopsies and thin tissue sections of micrometer thickness, despite the existence of a certain degree of biological variations. Applying the method to two independent DLBCL cohorts, we identified myeloperoxidase, a peroxidase enzyme, as a novel prognostic marker. In summary, this study presents a robust proteomic method to analyze bulk and biopsy FFPE tissues and reports the first systematic comparison of proteome maps generated from FFPE and FF samples. Our data demonstrate the practicality and superiority of FFPE over FF samples for proteome in biomarker discovery. Promising biomarker candidates for PCa and DLBCL have been discovered.

摘要

福尔马林固定、石蜡包埋(FFPE)、生物样本库组织样本为临床和生物标志物研究提供了宝贵的资源。在这里,我们开发了一种压力循环技术(PCT)-SWATH 质谱工作流程来分析 FFPE 组织蛋白质组,并将其应用于前列腺癌(PCa)和弥漫性大 B 细胞淋巴瘤(DLBCL)样本的分层。我们表明,FFPE PCa 组织样本的蛋白质组模式与其类似的新鲜冷冻(FF)对应物具有高度相似性,并且我们在独立的样本队列中证实了 PCa 组织中多个蛋白质的一致性调节。我们进一步证明了在生物样本库中储存 1 至 15 年的 FFPE 样本的蛋白质组模式具有时间稳定性,并显示了两种类型的组织区域(即打孔组织活检和微米厚度的薄组织切片)之间的蛋白质组模式高度相似,尽管存在一定程度的生物学变异。将该方法应用于两个独立的 DLBCL 队列,我们鉴定了髓过氧化物酶,一种过氧化物酶,作为一种新的预后标志物。总之,本研究提出了一种稳健的蛋白质组学方法来分析大块和活检 FFPE 组织,并报告了首次从 FFPE 和 FF 样本生成的蛋白质组图谱的系统比较。我们的数据证明了 FFPE 在生物标志物发现中的实用性和优越性超过了 FF 样本。已经发现了用于 PCa 和 DLBCL 的有前途的生物标志物候选物。

相似文献

[1]
High-throughput proteomic analysis of FFPE tissue samples facilitates tumor stratification.

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[2]
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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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[9]
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[10]
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[2]
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Oncol Rep. 2025-9

[3]
Integrative proteogenomic characterization reveals therapeutic targets in poorly differentiated and anaplastic thyroid cancers.

Nat Commun. 2025-4-16

[4]
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Mol Med Rep. 2025-5

[5]
Overlap of Formalin-Fixed Paraffin-Embedded and Fresh-Frozen Matched Tissues for Proteomics and Phosphoproteomics.

ACS Omega. 2025-2-16

[6]
Mass-spectrometry-based proteomics: from single cells to clinical applications.

Nature. 2025-2

[7]
Region- and Cell-type-Resolved Multiomic Atlas of the Heart.

Mol Cell Proteomics. 2025-5

[8]
The effect of storage time and temperature on the proteomic analysis of FFPE tissue sections.

Clin Proteomics. 2025-2-5

[9]
iDIA-QC: AI-empowered data-independent acquisition mass spectrometry-based quality control.

Nat Commun. 2025-1-21

[10]
Comprehensive Mass Spectral Libraries of Human Thyroid Tissues and Cells.

Sci Data. 2024-12-28

本文引用的文献

[1]
The Proteogenomic Landscape of Curable Prostate Cancer.

Cancer Cell. 2019-3-18

[2]
Identification of Protein Abundance Changes in Hepatocellular Carcinoma Tissues Using PCT-SWATH.

Proteomics Clin Appl. 2019-1

[3]
iProX: an integrated proteome resource.

Nucleic Acids Res. 2019-1-8

[4]
Factors that drive the increasing use of FFPE tissue in basic and translational cancer research.

Biotech Histochem. 2018

[5]
Multi-region proteome analysis quantifies spatial heterogeneity of prostate tissue biomarkers.

Life Sci Alliance. 2018-5-29

[6]
Residual tissue repositories as a resource for population-based cancer proteomic studies.

Clin Proteomics. 2018-8-3

[7]
Clinical Validation of a Serum Protein Panel (FLNA, FLNB and KRT19) for Diagnosis of Prostate Cancer.

J Mol Biomark Diagn. 2017

[8]
Parallel Proteomic Workflow for Mass Spectrometric Analysis of Tissue Samples Preserved by Different Methods.

Anal Chem. 2018-4-13

[9]
Integrative proteomics in prostate cancer uncovers robustness against genomic and transcriptomic aberrations during disease progression.

Nat Commun. 2018-3-21

[10]
Proteome profiling of clear cell renal cell carcinoma in von Hippel-Lindau patients highlights upregulation of Xaa-Pro aminopeptidase-1, an anti-proliferative and anti-migratory exoprotease.

Oncotarget. 2017-10-19

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