Literature DB >> 9445191

Calculated prostate carcinoma volume: The optimal predictor of 3-year prostate specific antigen (PSA) failure free survival after surgery or radiation therapy of patients with pretreatment PSA levels of 4-20 nanograms per milliliter.

A V D'Amico1, R Whittington, I Kaplan, C Beard, D Schultz, S B Malkowicz, A Wein, J E Tomaszewski, C N Coleman.   

Abstract

BACKGROUND: In this study, the authors evaluated whether a clinically relevant stratification of prostate specific antigen (PSA) failure free survival (bNED) after definitive local therapy could be made for patients with prostate carcinoma clinically classified as T1 or T2 and pretreatment PSA levels of 4-20 ng/mL.
METHODS: Multivariate Cox regression analysis and Kaplan-Meier analysis were performed for clinically localized prostate carcinoma patients who presented with PSA levels of 4-20 ng/mL. Three hundred forty-eight of the patients were managed definitively with conventional external beam radiation therapy (median dose, 67 gray), whereas 547 of the patients were managed definitively with a radical retropubic prostatectomy. The outcome tested was time to posttreatment PSA failure. The clinical predictors evaluated included the standard paradigm (PSA, biopsy Gleason score, and clinical stage); type of local therapy; and a newly defined factor, the calculated prostate cancer volume (cV[Ca]).
RESULTS: Time to posttreatment PSA failure was equivalent (P = 0.52) independent of the type of local therapy. The cV(Ca) (P < 0.0001), pretreatment PSA (P = 0.003), and clinical classification of T2c (P = 0.04) remained significant predictors of time to posttreatment PSA failure in multivariate analysis.
CONCLUSIONS: The staging system described herein, which is based on cV(Ca) and PSA, may optimize patient selection for definitive local therapy and entry onto randomized clinical trials examining the use of adjuvant hormonal or chemotherapy in patients with clinically localized disease who present with PSA levels of 4-20 ng/mL. Validation of this staging system by other investigators is currently underway.

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Year:  1998        PMID: 9445191     DOI: 10.1002/(sici)1097-0142(19980115)82:2<342::aid-cncr14>3.0.co;2-z

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  4 in total

1.  Efficacy of 68Ga-PSMA-11 PET/CT with biparametric MRI in diagnosing prostate cancer and predicting risk stratification: a comparative study.

Authors:  Yi Nuo; Aimei Li; Lulu Yang; Hailin Xue; Feng Wang; Liwei Wang
Journal:  Quant Imaging Med Surg       Date:  2022-01

2.  SNP-SNP interactions as risk factors for aggressive prostate cancer.

Authors:  Venkatesh Vaidyanathan; Vijay Naidu; Nishi Karunasinghe; Anower Jabed; Radha Pallati; Gareth Marlow; Lynnette R Ferguson
Journal:  F1000Res       Date:  2017-05-03

3.  Reference-free transcriptome exploration reveals novel RNAs for prostate cancer diagnosis.

Authors:  Marina Pinskaya; Zohra Saci; Mélina Gallopin; Marc Gabriel; Ha Tn Nguyen; Virginie Firlej; Marc Descrimes; Audrey Rapinat; David Gentien; Alexandre de la Taille; Arturo Londoño-Vallejo; Yves Allory; Daniel Gautheret; Antonin Morillon
Journal:  Life Sci Alliance       Date:  2019-11-15

4.  Role of Serum Creatinine Levels in Prognostic Risk Stratification of Prostate Cancer Patients.

Authors:  Xingbo Gu; Jiaojiao Wu; Xuefeidan Liu; Yun Hong; Yaoxi Wu; Ye Tian
Journal:  Med Sci Monit       Date:  2022-07-22
  4 in total

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