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Microcalcifications in benign breast biopsies: association with lesion type and risk.
Schrup, Sarah; Hardway, Heather; Vierkant, Robert A; Winham, Stacey J; Jensen, Matthew R; McCauley, Bryan; Hoskin, Tanya; Seymour, Lisa; Gehling, Denice; Fischer, Jessica; Vachon, Celine M; Maimone, Santo; Pacheco-Spann, Laura; Radisky, Derek C; Carter, Jodi M; Degnim, Amy C; Sherman, Mark E.
Affiliation
  • Schrup S; Mayo Clinic Graduate School of Biomedical Sciences, Rochester, MN, USA. schrup.sarah@mayo.edu.
  • Hardway H; Department of Dermatology, Mayo Clinic, Rochester, MN, USA.
  • Vierkant RA; Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
  • Winham SJ; Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
  • Jensen MR; Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
  • McCauley B; Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
  • Hoskin T; Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
  • Seymour L; Department of Surgery, Mayo Clinic, Rochester, MN, USA.
  • Gehling D; Department of Surgery, Mayo Clinic, Rochester, MN, USA.
  • Fischer J; Department of Surgery, Mayo Clinic, Rochester, MN, USA.
  • Vachon CM; Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
  • Maimone S; Department of Radiology, Mayo Clinic, Jacksonville, FL, USA.
  • Pacheco-Spann L; Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA.
  • Radisky DC; Cancer Biology, Mayo Clinic, Jacksonville, FL, USA.
  • Carter JM; Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada.
  • Degnim AC; Department of Surgery, Mayo Clinic, Rochester, MN, USA.
  • Sherman ME; Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA.
Article in En | MEDLINE | ID: mdl-39230626
ABSTRACT

PURPOSE:

To characterize associations of microcalcifications (calcs) with benign breast disease lesion subtypes and assess whether tissue calcs affect risks of ductal carcinoma in situ (DCIS) and invasive breast cancer (IBC).

METHODS:

We analyzed detailed histopathologic data for 4,819 BBD biopsies from a single institution cohort (2002-2013) followed for DCIS or IBC for a median of 7.4 years for cases (N = 338) and 11.2 years for controls. Natural language processing was used to identify biopsies containing calcs based on pathology reports. Univariable and multivariable regression models were applied to assess associations with BBD lesion type and age-adjusted Cox proportional hazard regressions were performed to model risk of IBC or DCIS stratified by the presence or absence of calcs.

RESULTS:

Calcs were identified in 2063 (42.8%) biopsies. Calcs were associated with older age at BBD diagnosis (56.2 versus 49.0 years; P < 0.001). Overall, the risk of developing IBC or DCIS did not differ significantly between patients with calcs (HR 1.13, 95% CI 0.90, 1.41) as compared to patients without calcs. Stratification by BBD severity or subtype, age at BBD biopsy, outcomes of IBC versus DCIS, and mammography technique (screen-film versus full-field digital mammography) did not significantly alter association between calcs and risk.

CONCLUSION:

Our analysis of calcs in BBD biopsies did not find a significant association between calcs and risk of breast cancer.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Breast Cancer Res Treat Year: 2024 Document type: Article Affiliation country: United States Country of publication: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Breast Cancer Res Treat Year: 2024 Document type: Article Affiliation country: United States Country of publication: Netherlands