Evidence map›Paper›PMID 40538844›Full record

ArticleFrontiers in oncology2025

Digital spatial profiling identifies phospho-JNK as a biomarker for early risk stratification of aggressive prostate cancer.

Samaneh Eickelschulte, Adam Kaczorowski, Florian Janke, Anja Lisa Riediger, Olga Lazareva, Sarah Böning, Glen Kristiansen, Constantin Schwab, Albrecht Stenzinger, Holger Sültmann and 3 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
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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

13 authors.

Samaneh EickelschulteJunior Clinical Cooperation Unit, Multiparametric Methods for Early Detection of Prostate Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Adam KaczorowskiMolecular Urooncology, Department of Urology, Heidelberg University Hospital, Heidelberg, Germany.
Florian JankeDivision of Cancer Genome Research, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT), Heidelberg, Germany.
Anja Lisa RiedigerJunior Clinical Cooperation Unit, Multiparametric Methods for Early Detection of Prostate Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Olga LazarevaJunior Clinical Cooperation Unit, Multiparametric Methods for Early Detection of Prostate Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Sarah BöningMolecular Urooncology, Department of Urology, Heidelberg University Hospital, Heidelberg, Germany.
Glen KristiansenInstitute of Pathology, University Hospital Bonn, Bonn, Germany.
Constantin SchwabInstitute of Pathology, Heidelberg University, Heidelberg, Germany.
Albrecht StenzingerInstitute of Pathology, Heidelberg University, Heidelberg, Germany.
Holger SültmannDivision of Cancer Genome Research, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT), Heidelberg, Germany.
Stefan DuensingMolecular Urooncology, Department of Urology, Heidelberg University Hospital, Heidelberg, Germany.
Anette DuensingPrecision Oncology of Urological Malignancies, Department of Urology, Heidelberg University Hospital, Heidelberg, Germany.
Magdalena GörtzJunior Clinical Cooperation Unit, Multiparametric Methods for Early Detection of Prostate Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prostate cancer (PCa) is a highly heterogeneous disease, ranging from indolent to highly aggressive forms. Ongoing research focuses on identifying new biomarkers to improve early risk stratification in PCa, addressing current limitations to accurately evaluate disease progression. A promising new approach to aid PCa risk stratification is digital spatial profiling (DSP) of PCa tissue. Methods: A total of 94 regions of interest from 38 PCa patients at first diagnosis were analyzed for the expression of 44 proteins, including components of the PI3K/AKT, MAPK, and cell death signaling pathways as well as immune cell markers. An additional validation cohort consisting of 154 PCa patients with long-term follow-up data was analyzed using immunohistochemistry (IHC) to assess the consistency of the identified biomarkers across a larger sample set. Results: DSP identified the proliferation marker Ki-67 and phosphorylated c-Jun N-terminal protein kinase T183/Y185 (p-JNK), a member of the MAPK signaling pathway, as significantly upregulated proteins in aggressive PCa (Gleason grades 4 or 5) compared to indolent disease (Gleason grade 3; Conclusion: Our results indicate that p-JNK may contribute to PCa progression and serve as an early biomarker for aggressive PCa stratification. Identification of this biomarker through DSP could prove crucial in advancing disease management and addressing the critical unmet need for more targeted therapies in the treatment of PCa. Further studies are warranted to evaluate the role of p-JNK in PCa progression.

Indexed as

biomarker discoverydigital spatial profiling (DSP)p-JNKprostate cancerrisk stratification

Identifiers

PMID40538844
PMCPMC12176855

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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.