دورية أكاديمية

Think "HER2" different: integrative diagnostic approaches for HER2-low breast cancer.

التفاصيل البيبلوغرافية
العنوان: Think "HER2" different: integrative diagnostic approaches for HER2-low breast cancer.
المؤلفون: Marchiò C; Division of Pathology, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.; Department of Medical Sciences, University of Turin, Turin, Italy., Criscitiello C; Division of Early Drug Development for Innovative Therapy, IEO, European Institute of Oncology, IRCCS, Milan, Italy.; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy., Scatena C; Department of Laboratory Medicine, Pisa University Hospital, Anatomic Pathology 1 Universitaria, Pisa, Italy.; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Italy., Santinelli A; Anatomic Pathology, Azienda Sanitaria Territoriale di Pesaro-Urbino, Pesaro, Italy., Graziano P; Pathology Unit, Fondazione IRCCS Ospedale 'Casa Sollievo della Sofferenza', San Giovanni Rotondo (FG), Italy., Malapelle U; Department of Public Health, Federico II University of Naples, Naples, Italy., Cursano 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., Fanelli GN; Department of Laboratory Medicine, Pisa University Hospital, Anatomic Pathology 1 Universitaria, Pisa, Italy.; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Italy., Pepe F; Department of Public Health, Federico II University of Naples, Naples, Italy., Berrino E; Division of Pathology, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.; Department of Medical Sciences, University of Turin, Turin, Italy., Angelis C; Department of Clinical Medicine and Surgery, Federico II University of Naples, Naples, Italy., Perrone G; Department of Medicine and Surgery, Research Unit of Anatomical Pathology, Università Campus Bio-Medico di Roma, Roma, Italy.; Anatomical Pathology Operative Research Unit, Fondazione Policlinico Universitario Campus Bio-Medico, Roma, Italy., Curigliano G; Division of Early Drug Development for Innovative Therapy, IEO, European Institute of Oncology, IRCCS, Milan, Italy.; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy., Fusco N; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.; Division of Pathology, IEO, European Institute of Oncology, IRCCS, Milan, Italy.
المصدر: Pathologica [Pathologica] 2023 Dec; Vol. 115 (6), pp. 292-301.
نوع المنشور: Journal Article; Review
اللغة: English
بيانات الدورية: Publisher: Pacini Editore SpA Country of Publication: Italy NLM ID: 0401123 Publication Model: Print Cited Medium: Internet ISSN: 1591-951X (Electronic) Linking ISSN: 00312983 NLM ISO Abbreviation: Pathologica Subsets: MEDLINE
أسماء مطبوعة: Publication: <2007-> : Ospedaletto, Psia : Pacini Editore SpA
Original Publication: Genova : [s.n.]
مواضيع طبية MeSH: Artificial Intelligence* , Breast Neoplasms*/diagnosis , Breast Neoplasms*/genetics, Humans ; Female ; Reproducibility of Results ; Pathologists
مستخلص: This work explores the complex field of HER2 testing in the HER2-low breast cancer era, with a focus on methodological aspects. We aim to propose clear positions to scientific societies, institutions, pathologists, and oncologists to guide and shape the appropriate diagnostic strategies for HER2-low breast cancer. The fundamental question at hand is whether the necessary tools to effectively translate our knowledge about HER2 into practical diagnostic schemes for the lower spectrum of expression are available. Our investigation is centered on the significance of distinguishing between an immunohistochemistry (IHC) score 0 and score 1+ in light of the clinical implications now apparent, as patients with HER2-low breast cancer become eligible for trastuzumab-deruxtecan treatment. Furthermore, we discuss the definition of HER2-low beyond its conventional boundaries and assess the reliability of established diagnostic procedures designed at a time when therapeutic perspectives were non-existent for these cases. In this regard, we examine potential complementary technologies, such as gene expression analysis and liquid biopsy. Ultimately, we consider the potential role of artificial intelligence (AI) in the field of digital pathology and its integration into HER2 testing, with a particular emphasis on its application in the context of HER2-low breast cancer.
(Copyright © 2023 Società Italiana di Anatomia Patologica e Citopatologia Diagnostica, Divisione Italiana della International Academy of Pathology.)
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فهرسة مساهمة: Keywords: Artificial Intelligence; HER2-low; breast cancer; liquid biopsy; pathology; testing methods
تواريخ الأحداث: Date Created: 20240105 Date Completed: 20240108 Latest Revision: 20240108
رمز التحديث: 20240108
مُعرف محوري في PubMed: PMC10767801
DOI: 10.32074/1591-951X-942
PMID: 38180137
قاعدة البيانات: MEDLINE
الوصف
تدمد:1591-951X
DOI:10.32074/1591-951X-942