Evidence map›Paper›PMID 41051479›Full record

ArticleInternational urology and nephrology2026

Quantitative digital pathology reveals morphological and molecular correlates of tumor aggressiveness in prostate cancer.

Francisco Araujo, Guilherme Velozo, Juliana Cordeiro, Aline Ramos, Samuel Ferreira, Laura Cardoso, Vania Melo, Fábio Távora

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In one paragraph

Article in International urology and nephrology, 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

8 authors.

Francisco AraujoBiology Department, Universidade Federal do Ceará, Street, Fortaleza, Ceará, 100190, Brazil. jonathan_santos@alu.ufc.br.
Guilherme Velozo *Laboratório Argos Patologia, Av. Santos Dummond, Fortaleza, Ceará, Brazil.
Juliana Cordeiro *Laboratório Argos Patologia, Av. Santos Dummond, Fortaleza, Ceará, Brazil.
Aline Ramos *Laboratório Argos Patologia, Av. Santos Dummond, Fortaleza, Ceará, Brazil.
Samuel Ferreira *Laboratório Argos Patologia, Av. Santos Dummond, Fortaleza, Ceará, Brazil.
Laura Cardoso *Laboratório Argos Patologia, Av. Santos Dummond, Fortaleza, Ceará, Brazil.
Vania Melo *Biology Department, Universidade Federal do Ceará, Street, Fortaleza, Ceará, 100190, Brazil.
Fábio Távora *Laboratório Argos Patologia, Av. Santos Dummond, Fortaleza, Ceará, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital pathology enables objective evaluation of prognostic markers in prostate cancer through integrated morphological and molecular analysis. In this study, 72 radical prostatectomy samples were analyzed using tissue microarrays and whole-slide imaging, with tumor regions annotated by pathologists and quantified in QuPath for PTEN, Ki-67, ATM, CD8, and key histological features. PTEN quantification showed high variability and limited predictive value (AUC

Indexed as

Prostatic NeoplasmsAgedAtaxia Telangiectasia Mutated ProteinsBiomarkers, TumorHumansKi-67 AntigenMaleMiddle AgedNeoplasm GradingPrognosisProstatectomyPTEN PhosphohydrolaseTissue Array AnalysisAtaxia Telangiectasia Mutated ProteinsATM protein, humanBiomarkers, TumorKi-67 AntigenPTEN PhosphohydrolasePTEN protein, humanCribriform morphologyDigital pathologyPrognostic biomarkersProstate cancer

Identifiers

PMID41051479

What OpenQuestion holds

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Registered trials

None linked

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.