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Chromatin changes predict recurrence after radical prostatectomy.
- Source :
- British Journal of Cancer; 5/24/2016, Vol. 114 Issue 11, p1243-1250, 8p, 2 Diagrams, 1 Chart, 2 Graphs
- Publication Year :
- 2016
-
Abstract
- <bold>Background: </bold>Pathological evaluations give the best prognostic markers for prostate cancer patients after radical prostatectomy, but the observer variance is substantial. These risk assessments should be supported and supplemented by objective methods for identifying patients at increased risk of recurrence. Markers of epigenetic aberrations have shown promising results in several cancer types and can be assessed by automatic analysis of chromatin organisation in tumour cell nuclei.<bold>Methods: </bold>A consecutive series of 317 prostate cancer patients treated with radical prostatectomy at a national hospital between 1987 and 2005 were followed for a median of 10 years (interquartile range, 7-14). On average three tumour block samples from each patient were included to account for tumour heterogeneity. We developed a novel marker, termed Nucleotyping, based on automatic assessment of disordered chromatin organisation, and validated its ability to predict recurrence after radical prostatectomy.<bold>Results: </bold>Nucleotyping predicted recurrence with a hazard ratio (HR) of 3.3 (95% confidence interval (CI), 2.1-5.1). With adjustment for clinical and pathological characteristics, the HR was 2.5 (95% CI, 1.5-4.1). An updated stratification into three risk groups significantly improved the concordance with patient outcome compared with a state-of-the-art risk-stratification tool (P<0.001). The prognostic impact was most evident for the patients who were high-risk by clinical and pathological characteristics and for patients with Gleason score 7.<bold>Conclusion: </bold>A novel assessment of epigenetic aberrations was capable of improving risk stratification after radical prostatectomy. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00070920
- Volume :
- 114
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- British Journal of Cancer
- Publication Type :
- Academic Journal
- Accession number :
- 115602111
- Full Text :
- https://doi.org/10.1038/bjc.2016.96