دورية أكاديمية
أعرض في EDS

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

التفاصيل البيبلوغرافية
العنوان: Towards defining morphologic parameters of normal parous and nulliparous breast tissues by artificial intelligence.
المؤلفون: Ogony J; Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester and Jacksonville, MN and FL, USA., de Bel T; Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.; Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands., Radisky DC; Department of Cancer Biology, Mayo Clinic College of Medicine, Jacksonville, FL, USA., Kachergus J; Department of Cancer Biology, Mayo Clinic College of Medicine, Jacksonville, FL, USA., Thompson EA; Department of Cancer Biology, Mayo Clinic College of Medicine, Jacksonville, FL, USA., Degnim AC; Department of Surgery, Mayo Clinic College of Medicine, Rochester, MN, USA., Ruddy KJ; Department of Oncology, Mayo Clinic, Rochester, MN, USA., Hilton T; Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester and Jacksonville, MN and FL, USA., Stallings-Mann M; Department of Cancer Biology, Mayo Clinic College of Medicine, Jacksonville, FL, USA., Vachon C; Division of Epidemiology, Mayo Clinic College of Medicine, Rochester, MN, USA., Hoskin TL; Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester and Jacksonville, MN and FL, USA., Heckman MG; Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester and Jacksonville, MN and FL, USA., Vierkant RA; Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester and Jacksonville, MN and FL, USA., White LJ; Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester and Jacksonville, MN and FL, USA., Moore RM; Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester and Jacksonville, MN and FL, USA., Carter J; Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA., Jensen M; Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester and Jacksonville, MN and FL, USA., Pacheco-Spann L; Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester and Jacksonville, MN and FL, USA., Henry JE; Susan G. Komen Tissue Bank at the IU Simon Cancer Center, Indiana University School of Medicine, Indianapolis, USA., Storniolo AM; Susan G. Komen Tissue Bank at the IU Simon Cancer Center, Indiana University School of Medicine, Indianapolis, USA., Winham SJ; Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester and Jacksonville, MN and FL, USA., van der Laak J; Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.; Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden., Sherman ME; Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester and Jacksonville, MN and FL, USA. Sherman.Mark@Mayo.edu.; Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL, 32224, USA. Sherman.Mark@Mayo.edu.
المصدر: Breast cancer research : BCR [Breast Cancer Res] 2022 Jul 11; Vol. 24 (1), pp. 45. Date of Electronic Publication: 2022 Jul 11.
نوع المنشور: Journal Article; Research Support, N.I.H., Extramural
اللغة: English
بيانات الدورية: Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 100927353 Publication Model: Electronic Cited Medium: Internet ISSN: 1465-542X (Electronic) Linking ISSN: 14655411 NLM ISO Abbreviation: Breast Cancer Res Subsets: MEDLINE
أسماء مطبوعة: Publication: London, UK : BioMed Central Ltd
Original Publication: London, UK : Current Science, c1999-
مواضيع طبية MeSH: Breast Neoplasms*/pathology , Mammary Glands, Human*/pathology, Artificial Intelligence ; Breast/pathology ; Female ; Humans ; Parity ; Pregnancy
مستخلص: Background: Breast 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.
Methods: Using 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.
Results: Normal 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.
Conclusions: Our 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.
(© 2022. The Author(s).)
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معلومات مُعتمدة: N01 CA015083 United States CA NCI NIH HHS; P30 CA015083 United States CA NCI NIH HHS; R01 CA229811 United States CA NCI NIH HHS; R01 CA262393 United States CA NCI NIH HHS
فهرسة مساهمة: Keywords: Breast cancer; Epidemiology; Involution; Postpartum; Risk; Terminal duct lobular units
تواريخ الأحداث: Date Created: 20220712 Date Completed: 20220714 Latest Revision: 20240515
رمز التحديث: 20240515
مُعرف محوري في PubMed: PMC9275035
DOI: 10.1186/s13058-022-01541-z
PMID: 35821041
قاعدة البيانات: MEDLINE
الوصف
تدمد:1465-542X
DOI:10.1186/s13058-022-01541-z