Towards routine proteome profiling of FFPE tissue: insights from a 1,220-case pan-cancer study.

IF 9.4 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY EMBO Journal Pub Date : 2024-11-18 DOI:10.1038/s44318-024-00289-w
Johanna Tüshaus, Stephan Eckert, Marius Schliemann, Yuxiang Zhou, Pauline Pfeiffer, Christiane Halves, Federico Fusco, Johannes Weigel, Lisa Hönikl, Vicki Butenschön, Rumyana Todorova, Hilka Rauert-Wunderlich, Matthew The, Andreas Rosenwald, Volker Heinemann, Julian Holch, Katja Steiger, Claire Delbridge, Bernhard Meyer, Wilko Weichert, Carolin Mogler, Peer-Hendrik Kuhn, Bernhard Kuster
{"title":"Towards routine proteome profiling of FFPE tissue: insights from a 1,220-case pan-cancer study.","authors":"Johanna Tüshaus, Stephan Eckert, Marius Schliemann, Yuxiang Zhou, Pauline Pfeiffer, Christiane Halves, Federico Fusco, Johannes Weigel, Lisa Hönikl, Vicki Butenschön, Rumyana Todorova, Hilka Rauert-Wunderlich, Matthew The, Andreas Rosenwald, Volker Heinemann, Julian Holch, Katja Steiger, Claire Delbridge, Bernhard Meyer, Wilko Weichert, Carolin Mogler, Peer-Hendrik Kuhn, Bernhard Kuster","doi":"10.1038/s44318-024-00289-w","DOIUrl":null,"url":null,"abstract":"<p><p>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. In this study, we analyze 1220 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 >4000 proteins and discovering that current software fails to process such large ion mobility-based online fractionated datasets. 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, and can be explored via a web resource. It enables a range of analyses including quantitative comparisons of proteins between patients and cohorts, the discovery of protein fingerprints representing the tissue of origin or proteins enriched in certain cancer entities.</p>","PeriodicalId":50533,"journal":{"name":"EMBO Journal","volume":" ","pages":""},"PeriodicalIF":9.4000,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EMBO Journal","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1038/s44318-024-00289-w","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

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. In this study, we analyze 1220 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 >4000 proteins and discovering that current software fails to process such large ion mobility-based online fractionated datasets. 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, and can be explored via a web resource. It enables a range of analyses including quantitative comparisons of proteins between patients and cohorts, the discovery of protein fingerprints representing the tissue of origin or proteins enriched in certain cancer entities.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
实现 FFPE 组织的常规蛋白质组分析:一项 1220 例泛癌症研究的启示。
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。在这项研究中,我们分析了来自六个癌症实体的 1220 个肿瘤,这些肿瘤的处理过程历时三年。研究的主要发现包括:需要一种新的归一化方法,以确保 LC-MS/MS 分析的样品装载量相同且具有可重复性;显示肿瘤的蛋白质分析深度平均可超过 4000 个;发现目前的软件无法处理如此大的基于离子迁移率的在线分馏数据集。我们报告了首个全面的泛癌症蛋白质组表达资源,该资源适用于 FFPE 材料,包含 11,000 个蛋白质,可直接用于科学界,并可通过网络资源进行探索。它可以进行一系列分析,包括对患者和队列之间的蛋白质进行定量比较,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。
求助全文
约1分钟内获得全文 去求助
来源期刊
EMBO Journal
EMBO Journal 生物-生化与分子生物学
CiteScore
18.90
自引率
0.90%
发文量
246
审稿时长
1.5 months
期刊介绍: The EMBO Journal has stood as EMBO's flagship publication since its inception in 1982. Renowned for its international reputation in quality and originality, the journal spans all facets of molecular biology. It serves as a platform for papers elucidating original research of broad general interest in molecular and cell biology, with a distinct focus on molecular mechanisms and physiological relevance. With a commitment to promoting articles reporting novel findings of broad biological significance, The EMBO Journal stands as a key contributor to advancing the field of molecular biology.
期刊最新文献
Intestinal NUCB2/nesfatin-1 regulates hepatic glucose production via the MC4R-cAMP-GLP-1 pathway. ZBTB48 is a priming factor regulating B-cell-specific CIITA expression. Deciphering the molecular logic of WOX5 function in the root stem cell organizer. Layered entrenchment maintains essentiality in the evolution of Form I Rubisco complexes. Towards routine proteome profiling of FFPE tissue: insights from a 1,220-case pan-cancer study.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1