Evidence map›Paper›PMID 42215608›Full record

ArticleNPJ precision oncology2026

Mass spectrometry-based proteomics delivers in-depth proteome profiling of FFPE lung cancer biopsies from single glass slides.

Olena Berkovska, Igor Schliemann, Georgios Mermelekas, Nazlı Ezgi Özkan, Mahnaz Nikpour, Vilde Drageset Haakensen, Åslaug Helland, Janne Lehtiö, Lukas M Orre

Abstract read
In one paragraph

Article in NPJ precision oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Olena BerkovskaDepartment of Oncology and Pathology, Karolinska Institutet, SciLifeLab, Solna, Sweden.
Igor SchliemannDepartment of Oncology and Pathology, Karolinska Institutet, SciLifeLab, Solna, Sweden.
Georgios MermelekasDepartment of Oncology and Pathology, Karolinska Institutet, SciLifeLab, Solna, Sweden.
Nazlı Ezgi ÖzkanDepartment of Oncology and Pathology, Karolinska Institutet, SciLifeLab, Solna, Sweden.
Mahnaz NikpourDepartment of Oncology and Pathology, Karolinska Institutet, SciLifeLab, Solna, Sweden.
Vilde Drageset HaakensenDepartment of Oncology, Oslo University Hospital, Oslo, Norway.
Åslaug HellandDepartment of Oncology, Oslo University Hospital, Oslo, Norway.
Janne LehtiöDepartment of Oncology and Pathology, Karolinska Institutet, SciLifeLab, Solna, Sweden. janne.lehtio@ki.se.
Lukas M OrreDepartment of Oncology and Pathology, Karolinska Institutet, SciLifeLab, Solna, Sweden. lukas.orre@ki.se.

Funding

Cancerfonden 23 2819 PjCancerfonden 25 4349 PjEuropean Commission EU DART (965397)Helse Sør-Øst RHF 2019119Karolinska Institutet 2023-01372Radiumhemmets Forskningsfonder 244203Region Stockholm ALF FoUI-1000396Vetenskapsrådet 2024-03294Vetenskapsrådet ERA PerMed 2021-00754VINNOVA ProMS 2024-01137
6 · The paper itself

Abstract

Clinical proteomics has the potential to add a valuable data layer to genomic and histopathological analyses in precision oncology, but its application to limited clinical material remains challenging. Here, we demonstrate that state-of-the-art mass spectrometry-based proteomics enables in-depth proteomic profiling of formalin-fixed paraffin-embedded (FFPE) clinical samples, including small diagnostic biopsies and single tissue sections mounted on glass slides. Despite minimal input material, single-slide analyses of clinical lung tumor specimens yielded biologically and clinically informative data, supporting detection of actionable proteins, immune-related signatures, and multivariate biomarkers. These results establish the feasibility of proteomics for retrospective FFPE studies and routine clinical practice, expanding opportunities for biomarker discovery and precision medicine from scarce tissue material.

Identifiers

PMID42215608
PMCPMC13221448

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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.