Literature DB >> 27791231

Clinical factors stratifying the risk of tumor upgrading to high-grade disease in low-risk prostate cancer.

Antonio B Porcaro1, Salvatore Siracusano1, Nicolò de Luyk1, Paolo Corsi1, Marco Sebben1, Alessandro Tafuri1, Tania Processali1, Mattia Cerasuolo1, Daniele Mattevi1, Davide Inverardi1, Maria A Cerruto1, Matteo Brunelli2, Walter Artibani1.   

Abstract

PURPOSE: To identify clinical factors stratifying the risk of tumor upgrading to increasing patterns of the tumor grading system in low-risk prostate cancer (PCa).
METHODS: We evaluated the records of 438 patients who underwent radical prostatectomy. Associations between clinical factors and tumor upgrading were assessed by the univariate and multivariate multinomial logistic regression model.
RESULTS: Low-risk PCa included 170 cases (38.8%) and tumor upgrading was detected in 111 patients (65.3%): 72 (42.4%) had pathology Gleason pattern (pGP) 3 + 4, 27 (15.9%) pGP 4 + 3, and 12 (7.1%) pGP 4 + 4. Prostate- specific antigen (PSA) and proportion of positive cores (P+) were independent predictors of upgrading to high-risk disease. These factors also stratified the risk of tumor upgrading to the increasing patterns of the tumor grading system. The model allowed the identification of pGP 4 + 4. The main difference between high-risk PCa and other upgraded tumors related to PSA load (odds ratio 2.4) that associated with high volume disease in the specimen.
CONCLUSIONS: Low-risk PCa is a heterogeneous population with significant rates of tumor upgrading. Significant clinical predictors stratifying the risk of tumor upgrading to increasing patterns of the grading system included PSA and P+. These factors allowed the identification of the subset hiding high-grade disease requiring further investigations before delivering active treatments.

Entities:  

Keywords:  Gleason score system; Prostate cancer; Tumor grade; Tumor upgrading

Mesh:

Year:  2018        PMID: 27791231     DOI: 10.5301/tj.5000580

Source DB:  PubMed          Journal:  Tumori        ISSN: 0300-8916            Impact factor:   2.098


  8 in total

1.  Total testosterone density predicts high tumor load and disease reclassification of prostate cancer: results in 144 low-risk patients who underwent radical prostatectomy.

Authors:  Antonio B Porcaro; Alessandro Tafuri; Marco Sebben; Tania Processali; Marco Pirozzi; Aliasger Shakir; Nelia Amigoni; Riccardo Rizzetto; Matteo Brunelli; Filippo Migliorini; Salvatore Siracusano; Walter Artibani
Journal:  Int Urol Nephrol       Date:  2019-08-23       Impact factor: 2.370

2.  Basal total testosterone serum levels predict biopsy and pathological ISUP grade group in a large cohort of Caucasian prostate cancer patients who underwent radical prostatectomy.

Authors:  Alessandro Tafuri; Marco Sebben; Riccardo Rizzetto; Nelia Amigoni; Aliasger Shakir; Tania Processali; Marco Pirozzi; Alessandra Gozzo; Katia Odorizzi; Mario De Michele; Sebastian Gallina; Alberto Bianchi; Paola Irene Ornaghi; Matteo Brunelli; Filippo Migliorini; Maria Angela Cerruto; Salvatore Siracusano; Walter Artibani; Alessandro Antonelli; Antonio B Porcaro
Journal:  Ther Adv Urol       Date:  2020-06-24

3.  High surgeon volume and positive surgical margins can predict the risk of biochemical recurrence after robot-assisted radical prostatectomy.

Authors:  Antonio Benito Porcaro; Alessandro Tafuri; Marco Sebben; Nelia Amigoni; Tania Processali; Marco Pirozzi; Riccardo Rizzetto; Aliasger Shakir; Paolo Corsi; Leone Tiso; Clara Cerrato; Filippo Migliorini; Giovanni Novella; Matteo Brunelli; Riccardo Bernasconi; Vincenzo De Marco; Salvatore Siracusano; Walter Artibani
Journal:  Ther Adv Urol       Date:  2019-09-24

4.  Surgeon volume and body mass index influence positive surgical margin risk after robot-assisted radical prostatectomy: Results in 732 cases.

Authors:  Antonio B Porcaro; Alessandro Tafuri; Marco Sebben; Paolo Corsi; Tania Processali; Marco Pirozzi; Nelia Amigoni; Riccardo Rizzetto; Aliasger Shakir; Giovanni Cacciamani; Arianna Mariotto; Matteo Brunelli; Riccardo Bernasconi; Giovanni Novella; Vincenzo De Marco; Walter Artibani
Journal:  Arab J Urol       Date:  2019-05-30

5.  Extent and predictors of grade upgrading and downgrading in an Australian cohort according to the new prostate cancer grade groupings.

Authors:  Kerri Beckmann; Michael O'Callaghan; Andrew Vincent; Penelope Cohen; Martin Borg; David Roder; Sue Evans; Jeremy Millar; Kim Moretti
Journal:  Asian J Urol       Date:  2019-03-07

6.  Endogenous testosterone density as ratio of endogenous testosterone levels on prostate volume predicts tumor upgrading in low-risk prostate cancer.

Authors:  Antonio Benito Porcaro; Sebastian Gallina; Alberto Bianchi; Clara Cerrato; Alessandro Tafuri; Riccardo Rizzetto; Nelia Amigoni; Rossella Orlando; Emanuele Serafin; Alessandra Gozzo; Filippo Migliorini; Stefano Zecchini Antoniolli; Vincenzo Lacola; Vincenzo De Marco; Matteo Brunelli; Maria Angela Cerruto; Salvatore Siracusano; Alessandro Antonelli
Journal:  Int Urol Nephrol       Date:  2021-10-22       Impact factor: 2.370

7.  Low endogenous testosterone levels are associated with the extend of lymphnodal invasion at radical prostatectomy and extended pelvic lymph node dissection.

Authors:  Antonio Benito Porcaro; Clara Cerrato; Alessandro Tafuri; Alberto Bianchi; Sebastian Gallina; Rossella Orlando; Nelia Amigoni; Riccardo Rizzetto; Alessandra Gozzo; Filippo Migliorini; Stefano Zecchini Antoniolli; Carmelo Monaco; Matteo Brunelli; Maria Angela Cerruto; Alessandro Antonelli
Journal:  Int Urol Nephrol       Date:  2021-07-06       Impact factor: 2.370

8.  Predictors of complications occurring after open and robot-assisted prostate cancer surgery: a retrospective evaluation of 1062 consecutive patients treated in a tertiary referral high volume center.

Authors:  Antonio Benito Porcaro; Alessandro Tafuri; Riccardo Rizzetto; Nelia Amigoni; Marco Sebben; Aliasger Shakir; Katia Odorizzi; Alessandra Gozzo; Sebastian Gallina; Alberto Bianchi; Paola Irene Ornaghi; Stefano Zecchini Antoniolli; Vincenzo Lacola; Matteo Brunelli; Filippo Migliorini; Maria Angela Cerruto; Salvatore Siracusano; Walter Artibani; Alessandro Antonelli
Journal:  J Robot Surg       Date:  2021-02-09
  8 in total

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