Evidence map›Paper›PMID 41545625›Full record

ArticleScientific reports2026

Prognostic impact of spatial niches in prostate cancer.

Felix Schneider, Sarah Heike Böning, Beatriz Coelho Antunes, Adam Kaczorowski, Magdalena Görtz, Viktoria Schütz, Johannes Huber, Albrecht Stenzinger, Markus Hohenfellner, Stefan Duensing and 1 more

Abstract read
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In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Felix SchneiderMolecular Urooncology, Department of Urology, University Hospital Heidelberg, Im Neuenheimer Feld 517, 69120, Heidelberg, Germany.
Sarah Heike BöningMolecular Urooncology, Department of Urology, University Hospital Heidelberg, Im Neuenheimer Feld 517, 69120, Heidelberg, Germany.
Beatriz Coelho AntunesMolecular Urooncology, Department of Urology, University Hospital Heidelberg, Im Neuenheimer Feld 517, 69120, Heidelberg, Germany.
Adam KaczorowskiMolecular Urooncology, Department of Urology, University Hospital Heidelberg, Im Neuenheimer Feld 517, 69120, Heidelberg, Germany.
Magdalena GörtzDepartment of Urology, University Hospital Heidelberg, and National Center for Tumor Diseases (NCT), Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Viktoria SchützDepartment of Urology, University Hospital Heidelberg, and National Center for Tumor Diseases (NCT), Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Johannes HuberDepartment of Urology, University Hospital Heidelberg, and National Center for Tumor Diseases (NCT), Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Albrecht StenzingerInstitute of Pathology, University Hospital Heidelberg, Im Neuenheimer Feld 224, 69120, Heidelberg, Germany.
Markus HohenfellnerDepartment of Urology, University Hospital Heidelberg, and National Center for Tumor Diseases (NCT), Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Stefan DuensingMolecular Urooncology, Department of Urology, University Hospital Heidelberg, Im Neuenheimer Feld 517, 69120, Heidelberg, Germany.
Anette DuensingDepartment of Urology, University Hospital Heidelberg, and National Center for Tumor Diseases (NCT), Im Neuenheimer Feld 420, 69120, Heidelberg, Germany. anette.duensing@med.uni-heidelberg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The formation of intratumoral spatial niches has been reported for many human malignancies. However, the translational potential of such spatial niches is understudied. Herein, we utilize digital spatial profiling (DSP) to explore the prognostic relevance of spatially defined protein expression in high-risk prostate cancer. A total of 49 patient samples were analyzed for the expression of 46 proteins in 463 regions of interest (ROIs) from the tumor center (n = 198) and the tumor periphery (n = 265) resulting in 21,298 primary data points (mean per patient n = 9.4). Expression data from either the tumor center or the tumor periphery were not found to be prognostic. Protein expression of tumor center and periphery was then integrated into single datapoints by calculating the log

Indexed as

Prostatic NeoplasmsTumor MicroenvironmentBiomarkers, TumorGene Expression Regulation, NeoplasticHumansMalePrognosisBiomarkers, TumorBiomarkerDigital spatial profilingPrognosisProstate cancerSpatial biologyTumor heterogeneity

Identifiers

PMID41545625
PMCPMC12820118

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