Prediction models for hormone receptor status in female breast cancer do not extend to males: further evidence of sex-based disparity in breast cancer.

Autor: Chatterji S; Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK.; Aberdeen Cancer Centre, University of Aberdeen, Aberdeen, UK., Niehues JM; Else Kröner Fresenius Centre for Digital Health, Carl Gustav Carus Faculty of Medicine, Technical University of Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH (Rheinisch-Westfälische Technische Hochschule) Aachen, Aachen, Germany., van Treeck M; Else Kröner Fresenius Centre for Digital Health, Carl Gustav Carus Faculty of Medicine, Technical University of Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH (Rheinisch-Westfälische Technische Hochschule) Aachen, Aachen, Germany., Loeffler CML; Else Kröner Fresenius Centre for Digital Health, Carl Gustav Carus Faculty of Medicine, Technical University of Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH (Rheinisch-Westfälische Technische Hochschule) Aachen, Aachen, Germany.; Department of Medicine I, University Hospital and Faculty of Medicine, Technical University of Dresden, Dresden, Germany., Saldanha OL; Else Kröner Fresenius Centre for Digital Health, Carl Gustav Carus Faculty of Medicine, Technical University of Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH (Rheinisch-Westfälische Technische Hochschule) Aachen, Aachen, Germany., Veldhuizen GP; Else Kröner Fresenius Centre for Digital Health, Carl Gustav Carus Faculty of Medicine, Technical University of Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH (Rheinisch-Westfälische Technische Hochschule) Aachen, Aachen, Germany., Cifci D; Else Kröner Fresenius Centre for Digital Health, Carl Gustav Carus Faculty of Medicine, Technical University of Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH (Rheinisch-Westfälische Technische Hochschule) Aachen, Aachen, Germany., Carrero ZI; Else Kröner Fresenius Centre for Digital Health, Carl Gustav Carus Faculty of Medicine, Technical University of Dresden, Dresden, Germany., Abu-Eid R; Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK.; Aberdeen Cancer Centre, University of Aberdeen, Aberdeen, UK.; Institute of Dentistry, University of Aberdeen, Aberdeen, UK., Speirs V; Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK. valerie.speirs@abdn.ac.uk.; Aberdeen Cancer Centre, University of Aberdeen, Aberdeen, UK. valerie.speirs@abdn.ac.uk., Kather JN; Else Kröner Fresenius Centre for Digital Health, Carl Gustav Carus Faculty of Medicine, Technical University of Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH (Rheinisch-Westfälische Technische Hochschule) Aachen, Aachen, Germany.; Department of Medicine I, University Hospital and Faculty of Medicine, Technical University of Dresden, Dresden, Germany.; Division of Pathology and Data Analytics, Leeds Institute of Medical Research at St. James's, University of Leeds, Leeds, UK.
Jazyk: angličtina
Zdroj: NPJ breast cancer [NPJ Breast Cancer] 2023 Nov 08; Vol. 9 (1), pp. 91. Date of Electronic Publication: 2023 Nov 08.
DOI: 10.1038/s41523-023-00599-y
Abstrakt: Breast cancer prognosis and management for both men and women are reliant upon estrogen receptor alpha (ERα) and progesterone receptor (PR) expression to inform therapy. Previous studies have shown that there are sex-specific binding characteristics of ERα and PR in breast cancer and, counterintuitively, ERα expression is more common in male than female breast cancer. We hypothesized that these differences could have morphological manifestations that are undetectable to human observers but could be elucidated computationally. To investigate this, we trained attention-based multiple instance learning prediction models for ERα and PR using H&E-stained images of female breast cancer from the Cancer Genome Atlas (TCGA) (n = 1085) and deployed them on external female (n = 192) and male breast cancer images (n = 245). Both targets were predicted in the internal (AUROC for ERα prediction: 0.86 ± 0.02, p < 0.001; AUROC for PR prediction = 0.76 ± 0.03, p < 0.001) and external female cohorts (AUROC for ERα prediction: 0.78 ± 0.03, p < 0.001; AUROC for PR prediction = 0.80 ± 0.04, p < 0.001) but not the male cohort (AUROC for ERα prediction: 0.66 ± 0.14, p = 0.43; AUROC for PR prediction = 0.63 ± 0.04, p = 0.05). This suggests that subtle morphological differences invisible upon visual inspection may exist between the sexes, supporting previous immunohistochemical, genomic, and transcriptomic analyses.
(© 2023. The Author(s).)
Databáze: MEDLINE
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