Evidence map›Paper›PMID 40469091›Full record

ArticleFrontiers in toxicology2025

Residential proximity to agricultural fields, urinary glyphosate levels and breast cancer risk: a case-control study in Argentina.

Florencia Doná, Virginia Lorenz, Georgina Stegmayer, Tamara Ricardo, Stefanía D'Iorio, Fernando Ponzo, María Rosa Repetti, Luisina Delma Demonte, María Mercedes Milesi, Jorgelina Varayoud

Abstract read
In one paragraph

Article in Frontiers in toxicology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Florencia DonáInstituto de Salud y Ambiente del Litoral (ISAL), Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral (UNL) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Santa Fe, Argentina.
Virginia LorenzInstituto de Salud y Ambiente del Litoral (ISAL), Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral (UNL) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Santa Fe, Argentina.
Georgina StegmayerInstituto de Investigaciones en Señales, Sistemas e Inteligencia Computacional, sinc(i), Facultad de Ingeniería y Ciencias Hídricas, UNL, CONICET, Santa Fe, Argentina.
Tamara RicardoDepartamento de Investigación Epidemiológica, Instituto Nacional de Epidemiología "Dr. Juan H. Jara", ANLIS Malbrán, Mar del Plata, Argentina.
Stefanía D'IorioDepartamento de Matemática, Facultad de Bioquímica y Ciencias Biológicas, UNL, Santa Fe, Argentina.
Fernando PonzoServicio de Ginecología, Hospital José María Cullen, Santa Fe, Argentina.
María Rosa RepettiPrograma de Investigación y Análisis de Residuos y Contaminantes Químicos, Facultad de Ingeniería Química, UNL, Santa Fe, Argentina.
Luisina Delma DemontePrograma de Investigación y Análisis de Residuos y Contaminantes Químicos, Facultad de Ingeniería Química, UNL, Santa Fe, Argentina.
María Mercedes MilesiInstituto de Salud y Ambiente del Litoral (ISAL), Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral (UNL) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Santa Fe, Argentina.
Jorgelina VarayoudInstituto de Salud y Ambiente del Litoral (ISAL), Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral (UNL) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Santa Fe, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite accumulated evidence indicating glyphosate herbicide (GLY) presents endocrine disrupting properties, there are still discrepancies. Moreover, few epidemiological studies have focused on hormone-related pathologies. This work aimed to investigate the associations between urinary GLY levels and breast cancer (BC) in women from a region of intense agricultural activity in Argentina, exploring residential proximity to agricultural fields as a potential risk factor for BC. This was a case-control study that involved 90 women from different populations in the Province of Santa Fe, Argentina. Demographic data, lifestyle factors, and residential history were obtained through a questionnaire, while medical outcomes and reproductive history were acquired from medical records. Spot urine samples were collected and the concentrations of GLY and its primary metabolite, aminomethylphosphonic acid (AMPA) were quantified by ultra-high-performance liquid chromatography-mass spectrometry. Odds ratios were estimated to assess the strength of the association between the case/control type and each predictor. GLY concentrations were above the limit of detection (LOD) in 86.1% of samples, with a range of 0.37-10.07 µg GLY/g creatinine. AMPA was not detected in any of the samples analyzed. Although urinary GLY concentrations showed no differences between the case and control groups, women residing near agricultural fields showed an increased risk of BC (OR: 7.38, 95% CI: 2.74-21.90). These original findings show the ubiquitous presence of GLY in adult women from Argentina. Interestingly, women living near agricultural fields have a higher risk of BC, suggesting that exposure not only to GLY but also to agrochemicals in general, could predispose to the development of BC in Argentina. While this study provides valuable insights, further and broader assessments of BC distribution in relation to agrochemical exposure acroos different regions of Argentina are needed.

Indexed as

breast cancercase-control studyherbicide exposurerisk factorsurine

Identifiers

PMID40469091
PMCPMC12133821

What OpenQuestion 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 OpenQuestion graph.