Evidence map›Paper›PMID 35503494›Full record

ArticleBreast cancer research and treatment2022

Serum hormone levels and normal breast histology among premenopausal women.

Mark E Sherman, Thomas de Bel, Michael G Heckman, Launia J White, Joshua Ogony, Melody Stallings-Mann, Tracy Hilton, Amy C Degnim, Robert A Vierkant, Tanya Hoskin and 8 more

Open access · greenAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 56% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

18 authors at 6 institutions in 3 countries.

Mark E Sherman *Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, 32224, USA. Sherman.Mark@Mayo.edu.ORCID http://orcid.org/0000-0002-9222-8808
Thomas de Bel *Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
Michael G HeckmanQuantitative Health Sciences, Mayo Clinic, Jacksonville, FL, 32224, USA.
Launia J WhiteQuantitative Health Sciences, Mayo Clinic, Jacksonville, FL, 32224, USA.
Joshua OgonyQuantitative Health Sciences, Mayo Clinic, Jacksonville, FL, 32224, USA.
Melody Stallings-MannDepartment of Cancer Biology, Mayo Clinic, Jacksonville, FL, 32224, USA.
Tracy HiltonQuantitative Health Sciences, Mayo Clinic, Jacksonville, FL, 32224, USA.
Amy C DegnimDepartment of Surgery, Mayo Clinic, Rochester, MN, USA.
Robert A VierkantQuantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA.
Tanya HoskinQuantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA.
Matthew R JensenQuantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA.
Laura Pacheco-SpannQuantitative Health Sciences, Mayo Clinic, Jacksonville, FL, 32224, USA.
Jill E HenrySusan G. Komen Tissue Bank at the IU Simon Cancer Center, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Anna Maria StornioloSusan G. Komen Tissue Bank at the IU Simon Cancer Center, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Jodi M CarterDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, 55905, USA.
Stacey J WinhamQuantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA.
Derek C RadiskyDepartment of Cancer Biology, Mayo Clinic, Jacksonville, FL, 32224, USA.
Jeroen van der LaakDepartment of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
Mayo Clinic in Florida · USIndiana University Health · USMayo Clinic · USJacksonville College · USLinköping University · SERadboud University Nijmegen · NL

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Lila J. Rutten · 1985 to 2026
$151.3M
NCI NIH HHS P30 CA015083NIH HHS P30CA15083-45
6 · The paper itself

Abstract

purposeBreast terminal duct lobular units (TDLUs) are the main source of breast cancer (BC) precursors. Higher serum concentrations of hormones and growth factors have been linked to increased TDLU numbers and to elevated BC risk, with variable effects by menopausal status. We assessed associations of circulating factors with breast histology among premenopausal women using artificial intelligence (AI) and preliminarily tested whether parity modifies associations.

methodsPathology AI analysis was performed on 316 digital images of H&E-stained sections of normal breast tissues from Komen Tissue Bank donors ages ≤ 45 years to assess 11 quantitative metrics. Associations of circulating factors with AI metrics were assessed using regression analyses, with inclusion of interaction terms to assess effect modification.

resultsHigher prolactin levels were related to larger TDLU area (p < 0.001) and increased presence of adipose tissue proximate to TDLUs (p < 0.001), with less significant positive associations for acini counts (p = 0.012), dilated acini (p = 0.043), capillary area (p = 0.014), epithelial area (p = 0.007), and mononuclear cell counts (p = 0.017). Testosterone levels were associated with increased TDLU counts (p < 0.001), irrespective of parity, but associations differed by adipose tissue content. AI data for TDLU counts generally agreed with prior visual assessments.

conclusionAmong premenopausal women, serum hormone levels linked to BC risk were also associated with quantitative features of normal breast tissue. These relationships were suggestively modified by parity status and tissue composition. We conclude that the microanatomic features of normal breast tissue may represent a marker of BC risk.

Indexed as

Breast NeoplasmsArtificial IntelligenceBreastFemaleHormonesHumansMiddle AgedRisk FactorsHormonesBreast cancer riskHormonesNormal breast tissueTerminal duct lobular units

Identifiers

PMID35503494
PMCPMC9869890
OpenAlexW4225385642

What OpenQuestion holds

Textmetadata
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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.