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

阅读:4
作者:Tüshaus Johanna, Eckert Stephan, Schliemann Marius, Zhou Yuxiang, Pfeiffer Pauline, Halves Christiane, Fusco Federico, Weigel Johannes, Hönikl Lisa, Butenschön Vicki, Todorova Rumyana, Rauert-Wunderlich Hilka, The Matthew, Rosenwald Andreas, Heinemann Volker, Holch Julian, Steiger Katja, Delbridge Claire, Meyer Bernhard, Weichert Wilko, Mogler Carolin, Kuhn Peer-Hendrik, Kuster Bernhard
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.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。