Evidence map›Paper›PMID 42274299›Full record

ArticleEndocrine-related cancer2026

Intraprostatic steroid hormones and endocrine disruptors in prostate cancer.

Jana Vitku, Tereza Skodova, Anezka Varausova, Lukas Gadus, Michal Horenitzky, Marie Novakova, Martin Hill, Michaela Svojtkova, Lucie Kolatorova, Adela Lukaskova and 1 more

Abstract read
In one paragraph

Article in Endocrine-related cancer, 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.

Jana VitkuDepartment of Steroids and Proteofactors, Institute of Endocrinology , Prague, Czech Republic.ORCID 0000-0003-0805-7602
Tereza SkodovaDepartment of Steroids and Proteofactors, Institute of Endocrinology , Prague, Czech Republic.
Anezka VarausovaDepartment of Steroids and Proteofactors, Institute of Endocrinology , Prague, Czech Republic.
Lukas GadusDepartment of Urology, First Faculty of Medicine, Charles University , Prague, Czech Republic.
Michal HorenitzkyDepartment of Urology, First Faculty of Medicine, Charles University , Prague, Czech Republic.
Marie NovakovaDepartment of Pathology, Military University Hospital , Prague, Czech Republic.
Martin HillDepartment of Steroids and Proteofactors, Institute of Endocrinology , Prague, Czech Republic.
Michaela SvojtkovaDepartment of Steroids and Proteofactors, Institute of Endocrinology , Prague, Czech Republic.
Lucie KolatorovaDepartment of Steroids and Proteofactors, Institute of Endocrinology , Prague, Czech Republic.
Adela LukaskovaDepartment of Steroids and Proteofactors, Institute of Endocrinology , Prague, Czech Republic.
Jiri HeracekDepartment of Urology, First Faculty of Medicine, Charles University , Prague, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is a hormone-dependent malignancy governed by steroid signaling. Despite characterization of androgen pathways, the broader intraprostatic steroid environment remains underexplored. Endocrine-disrupting chemicals (EDCs) may modulate these processes, yet their tissue distribution is largely unknown. We aimed to comprehensively profile intraprostatic steroids and EDCs and assess their associations with tumor aggressiveness, prognosis, and risk stratification. Thirty steroids and 16 EDCs were quantified using liquid chromatography-tandem mass spectrometry in cancerous tissue, non-cancerous tissues (from peripheral and transition zones), and plasma from 173 patients with localized PCa undergoing robot-assisted radical prostatectomy. Analysis of variance was used to compare analyte levels across biological matrices and according to disease aggressiveness, multivariate statistical models evaluated associations with patient prognosis and risk categories, and machine learning (ML) models were applied for risk stratification. Steroid profiles differed markedly between plasma and prostate tissue, whereas EDCs accumulated in the prostate and were generally not associated with plasma concentrations. Cancerous tissue showed lower conjugated dehydroepiandrosterone (DHEA) and higher pregnenolone, corticoids, and testosterone compared to non-cancerous tissue. Elevated intratumoral cortisol, cortisone, androstenedione, conjugated testosterone, 7-ketoDHEA, and estrone were associated with greater tumor aggressiveness. Higher intratumoral parabens correlated with increased postoperative PSA, while conjugated dihydrotestosterone (DHT) and phytoestrogen daidzein were inversely associated with PSA levels. Higher EDC burden and intratumoral steroid levels were associated with higher risk categories. In contrast, DHT showed a consistent protective profile, being negatively associated with both prognosis and risk classification. Integrating steroids and EDCs improved ML-based risk classification beyond preoperative clinical variables.

Indexed as

Endocrine DisruptorsProstateProstatic NeoplasmsSteroidsAgedHumansMaleMiddle AgedPrognosisEndocrine DisruptorsSteroidsendocrine-disrupting chemicalendocrine disruptorLC-MS/MSprostate cancersteroid hormone

Identifiers

PMID42274299
PMCPMC13386167

What Socratic holds

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LicenceCC BY
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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 Socratic graph.