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Pathological identification of HER2-low breast cancer: Tips, tricks, and troubleshooting for the optimal test.
Sajjadi, Elham; Guerini-Rocco, Elena; De Camilli, Elisa; Pala, Oriana; Mazzarol, Giovanni; Venetis, Konstantinos; Ivanova, Mariia; Fusco, Nicola.
Afiliação
  • Sajjadi E; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.
  • Guerini-Rocco E; Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy.
  • De Camilli E; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.
  • Pala O; Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy.
  • Mazzarol G; Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy.
  • Venetis K; Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy.
  • Ivanova M; Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy.
  • Fusco N; Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy.
Front Mol Biosci ; 10: 1176309, 2023.
Article em En | MEDLINE | ID: mdl-37077201
ABSTRACT
The introduction of novel anti-HER2 antibody-drug conjugates (ADC) for the treatment of HER2-low breast cancers has transformed the traditional dichotomy of HER2 status to an expanded spectrum. However, the identification of HER2-low (i.e., immunohistochemistry (IHC) score 1 + or IHC score 2+, without gene amplification) tumors is challenged by methodological and analytical variables that might influence the sensitivity and reproducibility of HER2 testing. To open all possible therapeutic opportunities for HER2-low breast cancer patients the implementation of more accurate and reproducible testing strategies is mandatory. Here, we provide an overview of the existing barriers that may trouble HER2-low identification in breast cancer and discuss practical solutions that could enhance HER-low assessment.
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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Mol Biosci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Mol Biosci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália