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Looking for a Simplified Diagnostic Model to Identify Potentially Lethal Cases of Prostate Cancer at Initial Diagnosis: An ImGO Pilot Study.
Macrini, Serena; Francesconi, Simona; Caprera, Cecilia; Lancia, Daniela; Corsi, Matteo; Gunnellini, Marco; Rocchi, Andrea; Pireddu, Anjuta; Marziani, Fiovo; Mosillo, Claudia; Calandrella, Maria Letizia; Caserta, Claudia; Giannarelli, Diana; Guida, Annalisa; Ascani, Stefano; Bracarda, Sergio.
  • Macrini S; Medical and Translational Oncology Unit, Department of Oncology, Azienda Ospedaliera Santa Maria, 05100 Terni, Italy.
  • Francesconi S; Pathology Unit, Azienda Ospedaliera Santa Maria Terni, University of Perugia, 06129 Terni, Italy.
  • Caprera C; Pathology Unit, Azienda Ospedaliera Santa Maria Terni, University of Perugia, 06129 Terni, Italy.
  • Lancia D; Pathology Unit, Azienda Ospedaliera Santa Maria Terni, University of Perugia, 06129 Terni, Italy.
  • Corsi M; Pathology Unit, Azienda Ospedaliera Santa Maria Terni, University of Perugia, 06129 Terni, Italy.
  • Gunnellini M; Medical Oncology Unit, Department of Oncology, Gubbio-Gualdo Tadino Hospital, 06024 Branca, Italy.
  • Rocchi A; Medical Oncology Unit, Department of Medicine, San Giovanni Battista Hospital, 06034 Foligno, Italy.
  • Pireddu A; Division of Pathology, Città di Castello Hospital, 06012 Città di Castello, Italy.
  • Marziani F; Pathology Unit, Department of Clinical Pathology, San Giovanni Battista Hospital, 06034 Foligno, Italy.
  • Mosillo C; Medical and Translational Oncology Unit, Department of Oncology, Azienda Ospedaliera Santa Maria, 05100 Terni, Italy.
  • Calandrella ML; Medical and Translational Oncology Unit, Department of Oncology, Azienda Ospedaliera Santa Maria, 05100 Terni, Italy.
  • Caserta C; Medical and Translational Oncology Unit, Department of Oncology, Azienda Ospedaliera Santa Maria, 05100 Terni, Italy.
  • Giannarelli D; Biostatistical Unit, Regina Elena National Cancer Institute, IRCCS, 00168 Rome, Italy.
  • Guida A; Medical and Translational Oncology Unit, Department of Oncology, Azienda Ospedaliera Santa Maria, 05100 Terni, Italy.
  • Ascani S; Pathology Unit, Azienda Ospedaliera Santa Maria Terni, University of Perugia, 06129 Terni, Italy.
  • Bracarda S; Medical and Translational Oncology Unit, Department of Oncology, Azienda Ospedaliera Santa Maria, 05100 Terni, Italy.
Cancers (Basel) ; 14(6)2022 Mar 17.
Article en En | MEDLINE | ID: mdl-35326693
The recurrent genetic anomalies used to classify prostate cancer (PC) into distinct molecular subtypes have limited relevance for clinical practice. In consideration of WHO 2016 histological classification, which includes the introduction of Gleason Score 4 for patients with cribriform component and the definition of intraductal carcinoma as a new entity, a retrospective pilot study was conducted to investigate, by histological review, if there were any variations of Gleason Score and the incidence of intraductal carcinoma and cribriform pattern, intended as "phenotypic" markers of potentially lethal PC, among metastatic castration-sensitive PC (mCSPC) and metastatic castration-resistant PC (mCRPC) samples. Potentially predictive factors were also assessed. Among 125 cases, a variation in the Gleason Score was reported in 26% of cases. A cribriform (36%) or intraductal (2%) pattern was reported in a higher percentage. Of them, a primary Gleason pattern 4 was reported in 80% of cases. All patients with intraductal carcinoma present a BRCA2 mutation, also found in 80% of cases with a cribriform pattern. This pilot study documented some hypothesis-generating data, as the evaluation of de novo mCSPC and mCRPC as phenotypic/biologic model to be translated in clinical practice. A cribriform pattern/intraductal carcinoma might be a marker of potentially lethal PC. The high incidence of TP53 and BRCA2 mutations in de novo mCSPC may also have a therapeutic implication.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article