Literature DB >> 4080650

Grading of prostatic cancer: III. Multivariate analysis of prognostic parameters.

F H Schroeder, W C Hop, J H Blom, F K Mostofi.   

Abstract

This work is based on the two previous publications which are concerned with grading prostatic carcinoma. In the present communication the technique of multivariate analysis is applied to quantify the prognostic importance of parameters which were earlier identified as contributing in a significant manner to grading. The results of this analysis are used to construct a scoring system which differentiates five significantly different prognostic groups. When compared to the results of grading, the new system is shown to be superior. The large group of 228 patients with G2 tumors can be split into three groups, each with a significantly different prognosis. The correlation of the scoring system to local tumor extension (pT category) is described. Recommendations for grading of prostatic carcinoma resulting from this work are the following: Only three independent parameters are of significance for grading prostatic cancer: tumor architecture, nuclear anaplasia, and the presence or absence of mitoses. The combination of these parameters in a scoring system identifies five separate prognostically different groups. The separation achieved by this new system is superior to conventional grading and is suggested for grading prostatic cancer.

Entities:  

Mesh:

Year:  1985        PMID: 4080650     DOI: 10.1002/pros.2990070103

Source DB:  PubMed          Journal:  Prostate        ISSN: 0270-4137            Impact factor:   4.104


  5 in total

Review 1.  Nuclear morphometry, nucleomics and prostate cancer progression.

Authors:  Robert W Veltri; Christhunesa S Christudass; Sumit Isharwal
Journal:  Asian J Androl       Date:  2012-04-16       Impact factor: 3.285

2.  Intraobserver and interobserver reproducibility of WHO and Gleason histologic grading systems in prostatic adenocarcinomas.

Authors:  S O Ozdamar; S Sarikaya; L Yildiz; M K Atilla; B Kandemir; S Yildiz
Journal:  Int Urol Nephrol       Date:  1996       Impact factor: 2.370

3.  Morphometrically estimated variation in nuclear size. A useful tool in grading prostatic cancer.

Authors:  J H Blom; F J Ten Kate; F H Schroeder; R O van der Heul
Journal:  Urol Res       Date:  1990

4.  The value of prognostic factors in prostatic cancer.

Authors:  J Schubert; S Kowalik
Journal:  Int Urol Nephrol       Date:  1994       Impact factor: 2.370

5.  Prostatic carcinoma: a multivariate analysis of prognostic factors.

Authors:  A Berner; S Harvei; S Tretli; S D Fosså; J M Nesland
Journal:  Br J Cancer       Date:  1994-05       Impact factor: 7.640

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.