Evidence map›Paper›PMID 41137070›Full record

ArticleBreast cancer research : BCR2025

Mammographic density and breast cancer pathological subtypes by menopausal status and body mass index.

Julia Fernández-Morata, Marina Pollán, Nerea Fernández de Larrea-Baz, Vanessa Pachón-Olmos, Javier García-Pérez, Adela Castelló, María Ángeles Sierra, Pilar Lucas, Rafael Llobet, Agostina Stradella and 13 more

Erratum issuedAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Julia Fernández-MorataPrograma de Doctorado en Ciencias Biomédicas y Salud Pública, Instituto Mixto de Investigación Escuela Nacional de Sanidad UNED-IMIENS, Madrid, Spain.
Marina PollánCancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Nerea Fernández de Larrea-BazCancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Vanessa Pachón-OlmosServicio de Medicina Preventiva, Hospital Universitario La Paz-Carlos III-Cantoblanco, Madrid, Spain.
Javier García-PérezCancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Adela CastellóCancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
María Ángeles SierraCancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Pilar LucasCancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Rafael LlobetInstitute of Computer Technology, Universitat Politècnica de València, Valencia, Spain.
Agostina StradellaDepartment of Medical Oncology, Multidisciplinary Breast Cancer Unit, Institut Català d'Oncologia, Idibell, Barcelona, Spain.
Blanca CantosDepartment of Medical Oncology, Hospital Universitario Puerta de Hierro, Majadahonda, Madrid, Spain.
Teresa Ramón Y CajalDepartment of Medical Oncology, Hospital de La Santa Creu I Sant Pau, Barcelona, Spain.
Marta SantistebanDepartment of Medical Oncology, Breast Cancer Unit, Clínica Universidad de Navarra, Pamplona, Spain.
Miguel Ángel SeguíDepartment of Medical Oncology, Consorci Corporació Sanitaria Parc Tauli. Institut d'Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, Barcelona, Spain.
Ana Santaballa BertránMedical Oncology Department, La Fe Health Research Institute (IISLaFe), La Fe University Hospital, Valencia, Spain.
Mónica GranjaDepartment of Medical Oncology, Hospital Universitario Clínico San Carlos, Madrid, Spain.
Julia Camps-HerreroRadiology at Breast Health, Ribera Salud Hospitals, Valencia, Spain.
Sabela RecaldeDepartment of Medical Oncology, Multidisciplinary Breast Cancer Unit, Institut Català d'Oncologia-Hospitalet, Barcelona, Spain.
Beatriz Nuñez-GarcíaDepartment of Medical Oncology, Hospital Universitario Puerta de Hierro, Majadahonda, Madrid, Spain.
Nuria Calvo VergesDepartment of Medical Oncology, Hospital de La Santa Creu I Sant Pau, Barcelona, Spain.
Beatriz Pérez-GómezCancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Roberto Pastor-BarriusoCancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Virginia LopeCancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (ISCIII), Madrid, Spain. vicarvajal@isciii.es.

Funding

Instituto de Salud Carlos III AESI PI15CIII/00029
6 · The paper itself

Abstract

backgroundMammographic density (MD) is an established biomarker of breast cancer (BC) risk. However, its relationship to BC pathological subtypes remains unclear. This study aimed to investigate this association and assess whether it differs by body mass index (BMI) and menopausal status.

methodsMD percentage was assessed in the diagnostic mammograms of the contralateral breast of 714 BC patients recruited from eight Spanish hospitals. Participants completed an epidemiological questionnaire, and hospital researchers collected clinical and pathological data. Standardized prevalences (SPs) and standardized prevalence ratios (SPRs) for each BC pathological subtype across MD categories were estimated based on multinomial logistic regression models, both overall and stratified by BMI and menopausal status.

resultsMean MD was 26.1% (SD = 17.3). Although no statistically significant differences were detected, women with MD ≥ 50% had a 13% lower SP of hormone receptor positive tumors (SPR = 0.87; 95% CI 0.67-1.13), a 36% higher SP of human epidermal growth factor receptor 2 positive (HER2+) tumors (SPR = 1.36; 95% CI 0.72-2.58), and a 23% higher SP of triple negative (TN) tumors (SPR = 1.23; 95% CI 0.47-3.22), compared to those with MD < 10%. These patterns were mainly observed in pre/perimenopausal women and in those with BMI ≥ 25 kg/m

conclusionsHigh MD might be mainly associated with the development of more aggressive and non-hormone-dependent cancers, such as HER2+ and TN BC, especially among pre/perimenopausal an overweight women.

Indexed as

Body Mass IndexBreast DensityBreast NeoplasmsMenopauseAdultAgedErb-b2 Receptor Tyrosine KinasesFemaleHumansMammographyMiddle AgedSpainERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesBody mass indexBreast densityBreast neoplasmMenopausal statusMolecular subtypes

Identifiers

PMID41137070
PMCPMC12553185

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