Weakly-supervised deep learning models enable HER2-low prediction from H &E stained slides.

Journal: Breast cancer research : BCR
PMID: 39160593

Abstract

BACKGROUND: Human epidermal growth factor receptor 2 (HER2)-low breast cancer has emerged as a new subtype of tumor, for which novel antibody-drug conjugates have shown beneficial effects. Assessment of HER2 requires several immunohistochemistry tests with an additional in situ hybridization test if a case is classified as HER2 2+. Therefore, novel cost-effective methods to speed up the HER2 assessment are highly desirable.

Authors

  • Renan Valieris
    Laboratory of Computational Biology and Bioinformatics, CIPE/A.C.Camargo Cancer Center, São Paulo, São Paulo, 01508-010, Brazil.
  • Luan Martins
    Laboratory of Computational Biology and Bioinformatics, CIPE/A.C.Camargo Cancer Center, São Paulo, São Paulo, 01508-010, Brazil.
  • Alexandre Defelicibus
    Laboratory of Computational Biology and Bioinformatics, CIPE/A.C.Camargo Cancer Center, São Paulo, São Paulo, 01508-010, Brazil.
  • Adriana Passos Bueno
    Laboratory of Computational Biology and Bioinformatics, CIPE/A.C.Camargo Cancer Center, São Paulo, São Paulo, 01508-010, Brazil.
  • Cynthia Aparecida Bueno de Toledo Osorio
    Department of Pathology, CIPE/A.C.Camargo Cancer Center, São Paulo, São Paulo, 01508-010, Brazil.
  • Dirce Carraro
    Laboratory of Genomics and Molecular Biology, CIPE/A.C.Camargo Cancer Center, São Paulo, São Paulo, 01508-010, Brazil.
  • Emmanuel Dias-Neto
    Laboratory Medical Genomics, CIPE/A.C.Camargo Cancer Center, São Paulo, São Paulo, 01508-010, Brazil.
  • Rafael A Rosales
    Departamento de Computação e Matemática, Universidade de São Paulo, Ribeirão Preto, São Paulo, 14040-901, Brazil.
  • Jose Marcio Barros de Figueiredo
    Laboratory of Computational Biology and Bioinformatics, CIPE/A.C.Camargo Cancer Center, São Paulo, São Paulo, 01508-010, Brazil.
  • Israel Tojal da Silva
    AC Camargo Cancer Center (ACCCC), International Research and Educational Center, São Paulo, Brazil.

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