Literature DB >> 16257840

The significance of tumor heterogeneity for prediction of DNA ploidy of prostate cancer.

Lars Häggarth1, Gert Auer, Christer Busch, Mona Norberg, Michael Häggman, Lars Egevad.   

Abstract

OBJECTIVE: In a previous study, we mapped the ploidy heterogeneity of prostate cancer using flow cytometry in 676 tumor samples from 50 radical prostatectomy specimens. Ploidy heterogeneity was common (42% of tumors) and was found in all non-diploid tumors. The volume of non-diploid tumor was estimated and found to predict extra-prostatic extension and seminal vesicle invasion. The aim of this study was to evaluate the impact of tumor heterogeneity on preoperative ploidy assessment.
MATERIAL AND METHODS: In 50 men at least six core biopsies were taken before prostatectomy. Sections from biopsies with cancer were Feulgen-stained for image cytometry. After exclusion of biopsies with insufficient material, 123 histograms from 48 men (mean 2.6; range 1-7) remained for analysis.
RESULTS: In 32 men, biopsies were diploid. In 16 men, at least one biopsy was non-diploid (14 tetraploid, two aneuploid) and 10 of them also had diploid biopsies. In 34 men (71%), the prostatectomy specimens were correctly predicted as being either diploid (48%) or non-diploid (23%). The sensitivity and specificity of biopsies for predicting non-diploid cancer were 55% and 82%, respectively, and the positive and negative predictive values were 69% and 72%, respectively. The ploidy status of tumors with and without ploidy heterogeneity was correctly predicted in 55% and 82% of cases, respectively (p=0.04). Biopsies underestimated ploidy in 9/20 tumors (45%) with heterogeneous ploidy status. Underestimation mainly occurred when one or two cores were analyzed.
CONCLUSIONS: Preoperative prediction of the ploidy status of prostate cancer is hampered by tumor heterogeneity. Analysis of multiple biopsies is important for correct preoperative ploidy estimation.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16257840     DOI: 10.1080/00365590500239883

Source DB:  PubMed          Journal:  Scand J Urol Nephrol        ISSN: 0036-5599


  3 in total

1.  Intratumor heterogeneity in evolutionary models of tumor progression.

Authors:  Rick Durrett; Jasmine Foo; Kevin Leder; John Mayberry; Franziska Michor
Journal:  Genetics       Date:  2011-03-15       Impact factor: 4.562

Review 2.  [Prostate cancer. Part 1: Review of cell kinetics over the years 1966-2015 and future perspectives of the new grading of the International Society of Urological Pathology (ISUP)].

Authors:  B Helpap; L Bubendorf
Journal:  Pathologe       Date:  2016-02       Impact factor: 1.011

3.  A Hidden Markov Model to estimate population mixture and allelic copy-numbers in cancers using Affymetrix SNP arrays.

Authors:  Philippe Lamy; Claus L Andersen; Lars Dyrskjot; Niels Torring; Carsten Wiuf
Journal:  BMC Bioinformatics       Date:  2007-11-09       Impact factor: 3.169

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.