Optimizing breast cancer therapy: chemoressitance and machine learning for precision prediction.

Journal: Personalized medicine
Published Date: Jul 16, 2025

Abstract

BACKGROUND: Validate a novel in vitro resistance platform for breast cancer (BC) by assessing resistance profiles of treatment-naïve and residual tumors after neoadjuvant chemotherapy (NACT) and applying a machine learning algorithm to predict NACT response using clinical biomarkers.

Authors

  • Martina Lichtenfels
    Translational Research, Ziel Biosciences, Porto Alegre, Brazil.
  • Matheus G S Dalmolin
    Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal, Brazil.
  • Julia Caroline Marcolin
    Translational Research, Ziel Biosciences, Porto Alegre, Brazil.
  • Heloisa Resende
    Oncology Center, Hospital HINJA, Volta Redonda, Brazil.
  • Alessandra Borba Anton de Souza
    São Lucas Hospital, Breast Cancer Center, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
  • Bianca Silva Marques
    Breast Center, Grupo Hospitalar Conceição, Porto Alegre, Brazil.
  • Vivian Fontana
    Breast Center, Grupo Hospitalar Conceição, Porto Alegre, Brazil.
  • Francine Hickmann Nyland
    Breast Center, Grupo Hospitalar Conceição, Porto Alegre, Brazil.
  • Mário Casales Schorr
    Breast Center, Grupo Hospitalar Conceição, Porto Alegre, Brazil.
  • Isabela Miranda
    São Lucas Hospital, Breast Cancer Center, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
  • Luiza Kobe
    São Lucas Hospital, Breast Cancer Center, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
  • Camila Alves da Silva
    Translational Research, Ziel Biosciences, Porto Alegre, Brazil.
  • Marcelo Ac Fernandes
    Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal, Brazil.
  • Caroline Brunetto de Farias
    Translational Research, Ziel Biosciences, Porto Alegre, Brazil.
  • Antônio Luiz Frasson
    São Lucas Hospital, Breast Cancer Center, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
  • José Luiz Pedrini
    Breast Center, Grupo Hospitalar Conceição, Porto Alegre, Brazil.

Keywords

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