Evidence map›Paper›PMID 39558110›Full record

ArticleThe EMBO journal2025

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

Johanna Tüshaus, Stephan Eckert, Marius Schliemann, Yuxiang Zhou, Pauline Pfeiffer, Christiane Halves, Federico Fusco, Johannes Weigel, Lisa Hönikl, Vicki Butenschön and 13 more

Abstract read
In one paragraph

Article in The EMBO journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Johanna Tüshaus *Proteomics and Bioanalytics, School of Life Sciences, Technical University of Munich, Freising, Germany.ORCID http://orcid.org/0000-0001-9206-8093
Stephan Eckert *Proteomics and Bioanalytics, School of Life Sciences, Technical University of Munich, Freising, Germany.ORCID http://orcid.org/0000-0002-6959-4439
Marius Schliemann *Proteomics and Bioanalytics, School of Life Sciences, Technical University of Munich, Freising, Germany.
Yuxiang ZhouGerman Cancer Consortium (DKTK), Partner Site Munich, a Partnership between DKFZ and University Center Technical University of Munich, Munich, Germany.
Pauline PfeifferInstitute of Pathology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Christiane HalvesInstitute of Pathology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Federico FuscoInstitute of Pathology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Johannes WeigelInstitute of Pathology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Lisa HöniklDepartment of Neurosurgery, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Vicki ButenschönDepartment of Neurosurgery, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Rumyana TodorovaDepartment of Medicine III and Comprehensive Cancer Center Munich, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany.
Hilka Rauert-WunderlichInstitute of Pathology, University of Würzburg, Würzburg, Germany.
Matthew TheProteomics and Bioanalytics, School of Life Sciences, Technical University of Munich, Freising, Germany.ORCID http://orcid.org/0000-0002-5401-5553
Andreas RosenwaldInstitute of Pathology, University of Würzburg, Würzburg, Germany.
Volker HeinemannDepartment of Medicine III and Comprehensive Cancer Center Munich, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany.
Julian HolchDepartment of Medicine III and Comprehensive Cancer Center Munich, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany.
Katja SteigerInstitute of Pathology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Claire DelbridgeInstitute of Pathology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Bernhard MeyerDepartment of Neurosurgery, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Wilko WeichertGerman Cancer Consortium (DKTK), Partner Site Munich, a Partnership between DKFZ and University Center Technical University of Munich, Munich, Germany.
Carolin MoglerGerman Cancer Consortium (DKTK), Partner Site Munich, a Partnership between DKFZ and University Center Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0003-3400-7254
Peer-Hendrik KuhnGerman Cancer Consortium (DKTK), Partner Site Munich, a Partnership between DKFZ and University Center Technical University of Munich, Munich, Germany.
Bernhard KusterProteomics and Bioanalytics, School of Life Sciences, Technical University of Munich, Freising, Germany. kuster@tum.de.ORCID http://orcid.org/0000-0002-9094-1677

Funding

Bundesministerium für Bildung und Forschung (BMBF) 16LW0243KBundesministerium für Bildung und Forschung (BMBF) FKZ161L0214A
6 · The paper itself

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.

Indexed as

NeoplasmsParaffin EmbeddingProteomeTandem Mass SpectrometryTissue FixationBiomarkers, TumorChromatography, LiquidFormaldehydeHumansProteomicsBiomarkers, TumorFormaldehydeProteomeClinical ProteomicsMass SpectrometryPan-cancerPublic Pan-cancer FFPE ResourceTIC Normalization

Identifiers

PMID39558110
PMCPMC11697351

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.