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Cell- and lobule-level spatial phenotyping of antecedent benign breast tissue in BRCA1/2 carriers with and without subsequent breast cancer

Year: 2026

Type: dataset

Abstract: This record contains deidentified cell-level spatial phenotyping data and lobule-level summary data from antecedent benign breast tissue from 19 BRCA1/2 pathogenic-variant carriers, comprising 217 lobules and 567,394 cells. The cohort includes 11 participants who subsequently developed breast cancer and eight comparator participants. The cell-level dataset contains cell and lobule coordinates, epithelial or stromal classification, distance from the tissue-compartment boundary, phenotype calls for CK, p63, Ki67, vimentin, ER, and αSMA, and phenotype-specific cell counts within 50 µm. A total of 3,441 cells lacked calls for all six phenotypes; the remaining 563,953 phenotype-classified cells reconcile exactly with the lobule-level summary dataset. Original accession numbers, slide identifiers, and other direct identifiers have been removed.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22132254

Authors: Cruz-Reyes, Nicole, Radisky, Derek

Institutions: Mayo Clinic, Mayo Clinic in Florida

Language: English

Topic: BRCA gene mutations in cancer

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7204450731

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