Evidence map›Paper›PMID 35821041›Full record

ArticleBreast cancer research : BCR2022

Towards defining morphologic parameters of normal parous and nulliparous breast tissues by artificial intelligence.

Joshua Ogony, Thomas de Bel, Derek C Radisky, Jennifer Kachergus, E Aubrey Thompson, Amy C Degnim, Kathryn J Ruddy, Tracy Hilton, Melody Stallings-Mann, Celine Vachon and 13 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Postpartum breast cancer: evidence for a distinct phenotype.Journal of the National Cancer Institute · 2026
    Article
  2. Article
  3. Mammographic Density in Relation to Breast Cancer Risk Factors among Chinese Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  4. Article
  5. 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

23 authors at 7 institutions in 3 countries.

Joshua Ogony *Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester and Jacksonville, MN and FL, USA.
Thomas de Bel *Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
Derek C Radisky *Department of Cancer Biology, Mayo Clinic College of Medicine, Jacksonville, FL, USA.
Jennifer KachergusDepartment of Cancer Biology, Mayo Clinic College of Medicine, Jacksonville, FL, USA.
E Aubrey ThompsonDepartment of Cancer Biology, Mayo Clinic College of Medicine, Jacksonville, FL, USA.
Amy C DegnimDepartment of Surgery, Mayo Clinic College of Medicine, Rochester, MN, USA.
Kathryn J RuddyDepartment of Oncology, Mayo Clinic, Rochester, MN, USA.
Tracy HiltonQuantitative Health Sciences, Mayo Clinic College of Medicine, Rochester and Jacksonville, MN and FL, USA.
Melody Stallings-MannDepartment of Cancer Biology, Mayo Clinic College of Medicine, Jacksonville, FL, USA.
Celine VachonDivision of Epidemiology, Mayo Clinic College of Medicine, Rochester, MN, USA.
Tanya L HoskinQuantitative Health Sciences, Mayo Clinic College of Medicine, Rochester and Jacksonville, MN and FL, USA.
Michael G HeckmanQuantitative Health Sciences, Mayo Clinic College of Medicine, Rochester and Jacksonville, MN and FL, USA.
Robert A VierkantQuantitative Health Sciences, Mayo Clinic College of Medicine, Rochester and Jacksonville, MN and FL, USA.
Launia J WhiteQuantitative Health Sciences, Mayo Clinic College of Medicine, Rochester and Jacksonville, MN and FL, USA.
Raymond M MooreQuantitative Health Sciences, Mayo Clinic College of Medicine, Rochester and Jacksonville, MN and FL, USA.
Jodi CarterDepartment of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA.
Matthew JensenQuantitative Health Sciences, Mayo Clinic College of Medicine, Rochester and Jacksonville, MN and FL, USA.
Laura Pacheco-SpannQuantitative Health Sciences, Mayo Clinic College of Medicine, Rochester and Jacksonville, MN and FL, USA.
Jill E HenrySusan G. Komen Tissue Bank at the IU Simon Cancer Center, Indiana University School of Medicine, Indianapolis, USA.
Anna Maria StornioloSusan G. Komen Tissue Bank at the IU Simon Cancer Center, Indiana University School of Medicine, Indianapolis, USA.
Stacey J WinhamQuantitative Health Sciences, Mayo Clinic College of Medicine, Rochester and Jacksonville, MN and FL, USA.
Jeroen van der Laak *Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
Mark E Sherman *Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester and Jacksonville, MN and FL, USA. Sherman.Mark@Mayo.edu.
Mayo Clinic · USMayo Clinic in Florida · USJacksonville College · USIndiana University – Purdue University Indianapolis · USMayo Clinic in Arizona · USRadboud University Medical Center · NLRadboud University Nijmegen · NL

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Lila J. Rutten · 1985 to 2026
$151.3M
Predicting Breast Cancer Risk after Benign Percutaneous BiopsyR01CA229811 · NCI · MAYO CLINIC JACKSONVILLE · PI DEGNIM, AMY C, SHERMAN, MARK E · 2018 to 2022
$3.5M
Targeted Prevention of Postpartum-Related Breast Cancer (PRBC)R01CA262393 · NCI · MAYO CLINIC JACKSONVILLE · PI Derek C Radisky, Kathryn Jean Ruddy · 2022 to 2026
$3.0M
NCI NIH HHS N01 CA015083NCI NIH HHS P30 CA015083NCI NIH HHS R01 CA229811NCI NIH HHS R01 CA262393
6 · The paper itself

Abstract

backgroundBreast terminal duct lobular units (TDLUs), the source of most breast cancer (BC) precursors, are shaped by age-related involution, a gradual process, and postpartum involution (PPI), a dramatic inflammatory process that restores baseline microanatomy after weaning. Dysregulated PPI is implicated in the pathogenesis of postpartum BCs. We propose that assessment of TDLUs in the postpartum period may have value in risk estimation, but characteristics of these tissues in relation to epidemiological factors are incompletely described.

methodsUsing validated Artificial Intelligence and morphometric methods, we analyzed digitized images of tissue sections of normal breast tissues stained with hematoxylin and eosin from donors ≤ 45 years from the Komen Tissue Bank (180 parous and 545 nulliparous). Metrics assessed by AI, included: TDLU count; adipose tissue fraction; mean acini count/TDLU; mean dilated acini; mean average acini area; mean "capillary" area; mean epithelial area; mean ratio of epithelial area versus intralobular stroma; mean mononuclear cell count (surrogate of immune cells); mean fat area proximate to TDLUs and TDLU area. We compared epidemiologic characteristics collected via questionnaire by parity status and race, using a Wilcoxon rank sum test or Fisher's exact test. Histologic features were compared between nulliparous and parous women (overall and by time between last birth and donation [recent birth: ≤ 5 years versus remote birth: > 5 years]) using multivariable regression models.

resultsNormal breast tissues of parous women contained significantly higher TDLU counts and acini counts, more frequent dilated acini, higher mononuclear cell counts in TDLUs and smaller acini area per TDLU than nulliparas (all multivariable analyses p < 0.001). Differences in TDLU counts and average acini size persisted for > 5 years postpartum, whereas increases in immune cells were most marked ≤ 5 years of a birth. Relationships were suggestively modified by several other factors, including demographic and reproductive characteristics, ethanol consumption and breastfeeding duration.

conclusionsOur study identified sustained expansion of TDLU numbers and reduced average acini area among parous versus nulliparous women and notable increases in immune responses within five years following childbirth. Further, we show that quantitative characteristics of normal breast samples vary with demographic features and BC risk factors.

Indexed as

Breast NeoplasmsMammary Glands, HumanArtificial IntelligenceBreastFemaleHumansParityPregnancyBreast cancerEpidemiologyInvolutionPostpartumRiskTerminal duct lobular units

Identifiers

PMID35821041
PMCPMC9275035
OpenAlexW4285094857

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.