PROACTING: predicting pathological complete response to neoadjuvant chemotherapy in breast cancer from routine diagnostic histopathology biopsies with deep learning.

Journal: Breast cancer research : BCR
PMID: 37957667

Abstract

BACKGROUND: Invasive breast cancer patients are increasingly being treated with neoadjuvant chemotherapy; however, only a fraction of the patients respond to it completely. To prevent overtreatment, there is an urgent need for biomarkers to predict treatment response before administering the therapy.

Authors

  • Witali Aswolinskiy
    Computational Pathology Group, Department of Pathology, Radboud University Medical Center, Nijmegen 6525 GA, The Netherlands.
  • Enrico Munari
    Pathology Unit, Department of Molecular and Translational Medicine, Spedali Civili-University of Brescia, Brescia, Italy.
  • Hugo M Horlings
    The Netherlands Cancer Institute (NKI), Amsterdam, The Netherlands.
  • Lennart Mulder
    The Netherlands Cancer Institute (NKI), Amsterdam, The Netherlands.
  • Giuseppe Bogina
    Pathology Unit, IRCCS Sacro Cuore Don Calabria Hospital, Negrar di Valpolicella, Verona, Italy.
  • Joyce Sanders
    The Netherlands Cancer Institute (NKI), Amsterdam, The Netherlands.
  • Yat-Hee Liu
    The Netherlands Cancer Institute (NKI), Amsterdam, The Netherlands.
  • Alexandra W van den Belt-Dusebout
    The Netherlands Cancer Institute (NKI), Amsterdam, The Netherlands.
  • Leslie Tessier
    Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Maschenka Balkenhol
    Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands.
  • Michelle Stegeman
    Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Jeffrey Hoven
    Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Jelle Wesseling
    The Netherlands Cancer Institute (NKI), Amsterdam, The Netherlands.
  • Jeroen van der Laak
    Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Esther H Lips
    The Netherlands Cancer Institute (NKI), Amsterdam, The Netherlands.
  • Francesco Ciompi
    Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands. Electronic address: francesco.ciompi@radboudumc.nl.

Keywords

External Resources

Popular Topics
Recent Journals