Article in Toxics, 2026. 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.
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
16 authors.
Sara SousaREQUIMTE/LAQV, ISEP, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida 431, 4249-015 Porto, Portugal.ORCID 0000-0002-8291-1160
Paula PaígaREQUIMTE/LAQV, ISEP, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida 431, 4249-015 Porto, Portugal.ORCID 0000-0002-9593-1355
Bárbara AraújoNutrition & Metabolism, CHRC-Comprehensive Health Research Centre, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Campo dos Mártires da Pátria 130, 1169-056 Lisboa, Portugal.
Francisca CoelhoFaculdade de Ciências da Nutrição e Alimentação do Porto, Universidade do Porto, Rua do Campo Alegre 823, 4150-180 Porto, Portugal.
Inês CastelaNutrition & Metabolism, CHRC-Comprehensive Health Research Centre, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Campo dos Mártires da Pátria 130, 1169-056 Lisboa, Portugal.ORCID 0000-0001-6839-6310
Miguel VasquesChampalimaud Research & Clinical Centre, Champalimaud Foundation, Av. Brasília, 1400-038 Lisboa, Portugal.ORCID 0000-0002-6112-8951
Clara SampaioNOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Campo dos Mártires da Pátria 130, 1169-056 Lisboa, Portugal.ORCID 0000-0002-3508-8749
Marta DuarteSão José Hospital, Centro Hospitalar Lisboa Central, Rua José António Serrano, 1150-199 Lisboa, Portugal.
Ana CorreiaSão José Hospital, Centro Hospitalar Lisboa Central, Rua José António Serrano, 1150-199 Lisboa, Portugal.
Diana TeixeiraNutrition & Metabolism, CHRC-Comprehensive Health Research Centre, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Campo dos Mártires da Pátria 130, 1169-056 Lisboa, Portugal.ORCID 0000-0002-2162-1450
Diogo PestanaNutrition & Metabolism, CINTESIS@RISE, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Campo dos Mártires da Pátria 130, 1169-056 Lisboa, Portugal.ORCID 0000-0001-6332-7914
Ana FariaNutrition & Metabolism, CHRC-Comprehensive Health Research Centre, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Campo dos Mártires da Pátria 130, 1169-056 Lisboa, Portugal.ORCID 0000-0002-5165-9513
Cristina Delerue-MatosREQUIMTE/LAQV, ISEP, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida 431, 4249-015 Porto, Portugal.ORCID 0000-0002-3924-776X
Maria João RamalhosaREQUIMTE/LAQV, ISEP, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida 431, 4249-015 Porto, Portugal.ORCID 0000-0002-1951-3557
Conceição CalhauNutrition & Metabolism, CINTESIS@RISE, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Campo dos Mártires da Pátria 130, 1169-056 Lisboa, Portugal.ORCID 0000-0001-9567-3379
Valentina Fernandes DominguesREQUIMTE/LAQV, ISEP, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida 431, 4249-015 Porto, Portugal.ORCID 0000-0003-3472-849X
Funding
Fundação para a Ciência e Tecnologia COVID/BD/153231/2023Fundação para a Ciência e Tecnologia SFRH/BD/137516/2018
6 · The paper itself
Abstract
Countless environmental pollutants and xenobiotics, are widespread and linked to hazardous effects, including breast cancer. Due to their lipophilic properties, these accumulate in fat tissue, such as breast adipose tissue. However, little is still known about their combined effects and distribution within the breast microenvironment. Alterations in fatty acid metabolism can be a biomarker for cancer progression and a potential bioindicator of pollutant exposure. In this study, the fatty acid profile and levels of organochlorine and organophosphate pesticides (OCPs and OPPs), polychlorinated biphenyls (PCBs), brominated flame retardants (BFRs), organophosphate esters (OPEs), polycyclic aromatic hydrocarbons (PAHs) and synthetic musks (SMs) were measured in 48 breast adipose tissue samples from breast cancer and healthy patients (controls). Twelve xenobiotics were detected at high frequency rates, and the distribution profile of these pollutants differed between cohorts. In total, 163 correlations were identified between specific fatty acids and breast cancer patients' data, with distinct correlation patterns between cohorts. Fatty acids show the potential to be biomarkers of the presence of lipophilic xenobiotics in the breast microenvironment; however, more studies are needed. This preliminary study is the first to analyze OPPs, OPEs, and PAHs in breast adipose tissue and report associations between xenobiotics and specific fatty acids.
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.
Breast Adipose Tissue's Xenobiotics and Fatty Acid Profile-A Preliminary Study in Portuguese Women with Breast Cancer. · full record | OpenQuestion