Evidence map›Paper›PMID 40274938›Full record

ArticleScientific reports2025

Associations between plasma and urinary heavy metal concentrations and the risk of prostate cancer.

Donatella Coradduzza, Andrea Sanna, Biagio Di Lorenzo, Antonella Congiargiu, Sonia Marra, Maurizio Cossu, Alessandro Tedde, Maria Rosaria De Miglio, Angelo Zinellu, Arduino A Mangoni and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Genetic Polymorphisms and Antioxidant Reactions in Prostate Cancer.International journal of molecular sciences · 2026
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
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

14 authors.

Donatella CoradduzzaDepartment of Biomedical Sciences, University of Sassari, 07100, Sassari, Italy.
Andrea SannaSC Chimica Istituto Zooprofilattico Sperimentale della Sardegna, Via Duca degli Abruzzi, 8, 07100, Sassari, Italy.
Biagio Di LorenzoDepartment of Biomedical Sciences, University of Sassari, 07100, Sassari, Italy.
Antonella CongiargiuDepartment of Biomedical Sciences, University of Sassari, 07100, Sassari, Italy.
Sonia MarraDepartment of Medicine, Surgery and Pharmacy, University of Sassari, Sassari, Italy.
Maurizio CossuSC Chimica Istituto Zooprofilattico Sperimentale della Sardegna, Via Duca degli Abruzzi, 8, 07100, Sassari, Italy.
Alessandro TeddeDepartment of Medicine, Surgery and Pharmacy, University of Sassari, Sassari, Italy.
Maria Rosaria De MiglioDepartment of Medicine, Surgery and Pharmacy, University of Sassari, Sassari, Italy.
Angelo ZinelluDepartment of Biomedical Sciences, University of Sassari, 07100, Sassari, Italy.
Arduino A MangoniDiscipline of Clinical Pharmacology, Flinders University, Adelaide, Australia.
Alessio Aligio CogoniMedical Oncology Department, Azienda Ospedaliero-Universitaria di Sassari, Sassari, Italy.
Massimo MadoniaDepartment of Medicine, Surgery and Pharmacy, University of Sassari, Sassari, Italy.
Ciriaco CarruDepartment of Biomedical Sciences, University of Sassari, 07100, Sassari, Italy.
Serenella MediciDepartment of Chemical, Physical, Mathematical and Natural Sciences, University of Sassari, 07100, Sassari, Italy. sere@uniss.it.

Funding

Autonomous Region of Sardinia UGOV RAS_CRP2023 CARRUFondazione di Sardegna FdS MEDICI 2017National LILT Program - 5 per thousand year 2022 2024U0001294
6 · The paper itself

Abstract

Prostate cancer is a leading cause of morbidity and mortality worldwide, with incidence rates projected to double between 2020 and 2040. This growing health challenge highlights the need for improved diagnostic strategies and risk assessment tools to better understand disease etiology and progression. Among environmental factors, heavy metals have been implicated in inflammation and carcinogenesis, yet their specific role in prostate disease remains insufficiently explored. This novel study analyses the relationship between heavy metal concentrations in plasma and urine of patients with benign prostatic hyperplasia, precancerous lesions and prostate cancer. In addition to evaluating key clinical parameters, including age, total PSA levels, hemoglobin concentrations and monocyte/lymphocyte ratio, it aims to determine whether specific heavy metals contribute to the progression of prostate disease and whether they can serve as potential biomarkers for early diagnosis. Our findings reveal significant differences in vanadium and antimony concentrations in plasma, suggesting a potential role in prostate disease pathophysiology. Notably, lower plasma antimony concentrations are associated with an increased risk of PC, while plasma vanadium concentrations are significantly higher in the PL group. Regression analysis further supports the association between heavy metal concentrations and the risk of PL and PC, highlighting the potential of vanadium and copper as biomarkers or therapeutic targets for prostate health. The study also explores the impact of lead exposure on prostate cancer risk, revealing a significant association between urine lead concentration and PC. These findings underscore the complex interaction between heavy metal concentrations and prostate disease risk, emphasizing the need for further research to elucidate underlying mechanisms and explore therapeutic interventions.

Indexed as

Metals, HeavyProstatic NeoplasmsAgedBiomarkers, TumorHumansMaleMiddle AgedProstatic HyperplasiaRisk FactorsBiomarkers, TumorMetals, HeavyBiomarkersCancer riskHeavy metalInductively coupled plasma mass spectrometry (ICP-MS)Prostate cancer

Identifiers

PMID40274938
PMCPMC12022027

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.