Título : Increased E2F1 mRNA and miR-17-5p Expression Is Correlated to Invasiveness and Proliferation of Pituitary Neuroendocrine Tumours |
Autor : García-Martínez, Araceli López-Muñoz, Beatriz Fajardo, Carmen Cámara, Rosa Lamas, Cristina Silva-Ortega, Sandra Aranda, Ignacio Picó, Antonio |
Editor : MDPI |
Departamento: Departamentos de la UMH::Medicina Clínica |
Fecha de publicación: 2020 |
URI : https://hdl.handle.net/11000/39023 |
Resumen :
miR-17-5p and E2F1 have been described as deregulated in cancer, but they have scarcely been studied in pituitary neuroendocrine tumours (PitNETs). This study evaluates the relationship of E2F1 and miR-17-5p with the invasiveness and proliferation of PitNETs. In this cross-sectional descriptive study, we evaluated the expression of E2F1, MYC, and miR-17-5p by quantitative real time PCRanalysisin60PitNETs: 29gonadotroph(GT),15functioningsomatotroph(ST),and16corticotroph (CT)tumours,ofwhich8weresilent(sCT).TheclinicaldatawerecollectedfromtheSpanishMolecular Register of Pituitary Adenomas (REMAH) database. We defined invasiveness according to the Knosp classification and proliferation according to a molecular expression of Ki-67 2.59. E2F1 was more expressed in invasive than in non-invasive tumours in the wholeseries (p =0.004) andinSTs(p = 0.01). In addition, it was overexpressed in the silent subtypes (GTs and sCTs; all macroadenomas) and normoexpressed in the functioning ones (fCTs and STs; some microadenomas). miR-17-5p was more expressed in proliferative than in non-proliferative tumours (p = 0.041) in the whole series but not by subtypes. Conclusions: Our study suggests that in PitNETs, E2F1 could be a good biomarker of invasiveness, and miR-17-5p of proliferation, helping the clinical management of these tumours.
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Palabras clave/Materias: miR-17~92 pituitary neuroendocrine tumours E2F1 microRNAs |
Área de conocimiento : CDU: Ciencias aplicadas: Medicina |
Tipo de documento : info:eu-repo/semantics/article |
Derechos de acceso: info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
DOI : 10.3390/diagnostics10040227 |
Publicado en: Diagnostics 2020, 10, 227 |
Aparece en las colecciones: Artículos Medicina Clínica
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