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Título: | Expression of stathmin in asbestos-like fibers-induced mesothelioma: A preliminary report |
Fecha de publicación: | 2023 |
Editorial: | Universidad de Murcia, Departamento de Biologia Celular e Histiologia |
Cita bibliográfica: | Histology and Histopathology Vol. 38, nº11 (2023) |
ISSN: | 0213-3911 1699-5848 |
Materias relacionadas: | CDU::6 - Ciencias aplicadas::61 - Medicina::616 - Patología. Medicina clínica. Oncología |
Palabras clave: | Mesothelioma Asbestos like Fibers Stathmin Prognostic biomarker Fluoro edenite Immunohistochemistry |
Resumen: | Background. Mesothelioma is strongly associated with exposure to asbestos fibers, however, recent studies have also linked exposure to "naturally occurring asbestos" fibers with this disease. Fluoroedenite, a silicate mineral found in the southeast of Biancavilla (Sicily, Italy), has been identified as a potential risk factor for mesothelioma. Unfortunately, this cancer often has a poor prognosis, and current diagnostic and prognostic biomarkers are inadequate. Histological subtype, gender, and age at diagnosis are the most significant parameters for mesothelioma. Stathmin, a cytosolic protein that regulates cell growth and migration and is overexpressed in many human malignancies, has not yet been linked to mesothelioma survival or clinical-pathological variables. Aim. The aim of this study was to investigate the immunohistochemical expression of stathmin in ten mesothelioma tissue samples with available clinical and follow-up data. Material and Methods. Paraffin-embedded tissue samples from ten mesothelioma patients were processed for immunohistochemical analyses to evaluate stathmin expression. Results. Our findings suggest that stathmin overexpression is associated with shorter overall survival in patients with mesothelioma. Furthermore, stathmin expression was significantly correlated with the survival time of mesothelioma patients. Conclusion. Our results suggest that stathmin expression may serve as a potential prognostic biomarker for mesothelioma. This biomarker could be used to promptly identify patients with poor prognosis and to guide clinicians in the selection of treatment options. |
Autor/es principal/es: | Lombardo, Claudia Broggi, Giuseppe Vitale, Ermanno Ledda, Caterina Loreto, Carla Matera, Serena Hagnas, Maria Caltabiano, Rosario Filetti, Veronica |
URI: | http://hdl.handle.net/10201/135734 |
DOI: | https://doi.org/10.14670/HH-18-649 |
Tipo de documento: | info:eu-repo/semantics/article |
Número páginas / Extensión: | 8 |
Derechos: | info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
Aparece en las colecciones: | Vol.38,nº11 (2023) |
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