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Proposal for a New Diagnostic Histopathological Approach in the Evaluation of Ki-67 in GEP-NETs.
Faviana, Pinuccia; Boldrini, Laura; Gentile, Carlo; Erba, Paola Anna; Sammarco, Enrico; Bartoli, Francesco; Esposito, Enrica; Galli, Luca; Lippolis, Piero Vincenzo; Bardi, Massimo.
Afiliación
  • Faviana P; Department of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy.
  • Boldrini L; Department of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy.
  • Gentile C; Azienda Ospedaliera di Catanzaro "Pugliese Ciaccio", 88100 Catanzaro, Italy.
  • Erba PA; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.
  • Sammarco E; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.
  • Bartoli F; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.
  • Esposito E; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.
  • Galli L; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.
  • Lippolis PV; General and Peritoneal Surgery, Department of Surgery, Azienda Ospedaliero-Universitaria Pisana, 56124 Pisa, Italy.
  • Bardi M; Department of Psychology and Neuroscience, Randolph-Macon College, Ashland, VA 23005, USA.
Diagnostics (Basel) ; 12(8)2022 Aug 13.
Article en En | MEDLINE | ID: mdl-36010311
INTRODUCTION: Studies have shown that the Ki-67 index is a valuable biomarker for the diagnosis, and classification of gastro-entero-pancreatic neuroendocrine tumors (GEP-NETs). We re-evaluated the expression of Ki-67 based on the intensity of the stain, basing our hypothesis on the fact that the Ki-67 protein is continuously degraded. BACKGROUND: The aim was to evaluate whether a new scoring method would be more effective in classifying NETs by reducing staining heterogeneity. METHODS: Patients with GEP-NET (n = 87) were analyzed. The classification difference between the two methods was determined. RESULTS: The classification changed significantly when the Ki-67 semiquantal index was used. The percentage of G1 patients increased from 18.4% to 60.9%, while the G2 patients decreased from 66.7% to 29.9% and the G3 patients also decreased from 14.9% to 9.2%. Moreover, it was found that the traditional Ki-67 was not significantly related to the overall survival (OS), whereas the semiquantal Ki-67 was significantly related to the OS. CONCLUSIONS: The new quantification was a better predictor of OS and of tumor classification. Therefore, it could be used both as a marker of proliferation and as a tool to map tumor dynamics that can influence the diagnosis and guide the choice of therapy.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Italia
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