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Immunotherapy in thymic epithelial tumors: tissue predictive biomarkers for immune checkpoint inhibitors.
Lucà, Stefano; Accardo, Marina; Campione, Severo; Franco, Renato.
Afiliación
  • Lucà S; Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania "L. Vanvitelli", 80138 Naples, Italy.
  • Accardo M; Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania "L. Vanvitelli", 80138 Naples, Italy.
  • Campione S; Department of Advanced Diagnostic-Therapeutic Technologies and Health Services Section of Anatomic Pathology, A. Cardarelli Hospital, 80131 Naples, Italy.
  • Franco R; Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania "L. Vanvitelli", 80138 Naples, Italy.
Explor Target Antitumor Ther ; 5(3): 465-476, 2024.
Article en En | MEDLINE | ID: mdl-38966177
ABSTRACT
Thymic epithelial tumors (TETs) are rare malignant neoplasms arising in the thymus gland. Nevertheless, TETs, including thymomas (TMs), thymic carcinomas (TCs), and thymic neuroendocrine neoplasms (TNENs), are the most common mediastinal malignancies overall. A multidisciplinary approach is required for the appropriate diagnostic and therapeutic management of TETs. To date, the main therapeutic strategies are largely depended on the stage of the tumor and they include surgery with or without neoadjuvant or adjuvant therapy, represented by platinum-based chemotherapy, radiotherapy or chemoradiotherapy. Immune checkpoint inhibitors (ICIs) are ongoing under evaluation in the advanced or metastatic diseases despite the challenges related to the very low tumor mutation burden (TMB) and the high incidence of immune-related adverse events in TETs. In this regard, predictive impact of tissue biomarkers expression such as programmed cell death ligand-1 (PD-L1), and other emerging biomarkers, as well as their optimal and shared interpretation are currently under evaluation in order to predict response rates to ICIs in TETs.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Explor Target Antitumor Ther Año: 2024 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Explor Target Antitumor Ther Año: 2024 Tipo del documento: Article País de afiliación: Italia