Evidence map›Paper›PMID 37814330›Full record

ArticleBreast cancer research : BCR2023

Lipidome of mammographic breast density in premenopausal women.

Kayla R Getz, Myung Sik Jeon, Chongliang Luo, Jingqin Luo, Adetunji T Toriola

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Observational
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Aspirin Metabolites and Mammographic Breast Density in Premenopausal Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  8. 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

5 authors at 1 institution in 1 country.

Kayla R GetzDivision of Public Health Sciences, Department of Surgery, School of Medicine, Washington University, 660 South Euclid Avenue, Box 8100, St. Louis, MO, 63110, USA.
Myung Sik JeonDivision of Public Health Sciences, Department of Surgery, School of Medicine, Washington University, 660 South Euclid Avenue, Box 8100, St. Louis, MO, 63110, USA.
Chongliang LuoDivision of Public Health Sciences, Department of Surgery, School of Medicine, Washington University, 660 South Euclid Avenue, Box 8100, St. Louis, MO, 63110, USA.
Jingqin LuoDivision of Public Health Sciences, Department of Surgery, School of Medicine, Washington University, 660 South Euclid Avenue, Box 8100, St. Louis, MO, 63110, USA.
Adetunji T ToriolaDivision of Public Health Sciences, Department of Surgery, School of Medicine, Washington University, 660 South Euclid Avenue, Box 8100, St. Louis, MO, 63110, USA. a.toriola@wustl.edu.
Washington University in St. Louis · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI AIMEE S JAMES · 2001 to 2026
$128.0M
Postdoctoral Training in Cancer Prevention and ControlT32CA190194 · NCI · WASHINGTON UNIVERSITY · PI GRAHAM A. COLDITZ, AIMEE S JAMES · 2014 to 2026
$4.7M
Metabolite Profiles and Mammographic Density in Premenopausal WomenR01CA246592 · NCI · WASHINGTON UNIVERSITY · PI TORIOLA, ADETUNJI T · 2020 to 2024
$1.8M
NCI NIH HHS P30 CA091842NCI NIH HHS R01 CA246592NCI NIH HHS R01CA246592NCI NIH HHS T32 CA190194
6 · The paper itself

Abstract

backgroundHigh mammographic breast density (MBD) is a strong risk factor for breast cancer development, but the biological mechanisms underlying MBD are unclear. Lipids play important roles in cell differentiation, and perturbations in lipid metabolism are implicated in cancer development. Nevertheless, no study has applied untargeted lipidomics to profile the lipidome of MBD. Through this study, our goal is to characterize the lipidome of MBD in premenopausal women.

methodsPremenopausal women were recruited during their annual screening mammogram at the Washington University School of Medicine in St. Louis, MO. Untargeted lipidomic profiling for 982 lipid species was performed at Metabolon (Durham, NC®), and volumetric measures of MBD (volumetric percent density (VPD), dense volume (DV), and non-dense volume (NDV)) was assessed using Volpara 1.5 (Volpara Health®). We performed multivariable linear regression models to investigate the associations of lipid species with MBD and calculated the covariate-adjusted least square mean of MBD by quartiles of lipid species. MBD measures were log

resultsOf the 705 premenopausal women, 72% were non-Hispanic white, and 23% were non-Hispanic black. Mean age, and BMI were 46 years and 30 kg/m

conclusionsWe report novel lipid species that are associated with MBD in premenopausal women. Studies are needed to validate our results and the translational potential.

Indexed as

Breast DensityBreast NeoplasmsFemaleHumansLipidomicsLipidsMammographyRisk FactorsLipidsLipidomicsMammographic breast densityPremenopausal

Identifiers

PMID37814330
PMCPMC10561435
OpenAlexW4387458310

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.