Diagnostic and Prognostic Utility of a DNA Hypermethylated Gene Signature in Prostate Cancer

被引:10
|
作者
Goh, Liang Kee [1 ,2 ]
Liem, Natalia [3 ]
Vijayaraghavan, Aadhitthya [1 ]
Chen, Gengbo [2 ]
Lim, Pei Li [3 ]
Tay, Kae-Jack [4 ]
Chang, Michelle [4 ]
Low, John Soon Wah [3 ]
Joshi, Adita [4 ]
Huang, Hong Hong [4 ]
Kalaw, Emarene [5 ]
Tan, Puay Hoon [5 ]
Hsieh, Wen-Son [3 ]
Yong, Wei Peng [3 ]
Alumkal, Joshi [6 ]
Sim, Hong Gee [4 ]
机构
[1] Duke Natl Univ Singapore, Grad Sch Med, Ctr Quantitat Med, Singapore, Singapore
[2] Duke Natl Univ Singapore, Grad Sch Med, Singapore, Singapore
[3] Natl Univ Singapore, Canc Sci Inst, Singapore 117548, Singapore
[4] Singapore Gen Hosp, Dept Urol, Singapore, Singapore
[5] Singapore Gen Hosp, Dept Pathol, Singapore, Singapore
[6] Oregon Hlth & Sci Univ, Knight Canc Inst, Portland, OR 97201 USA
来源
PLOS ONE | 2014年 / 9卷 / 03期
基金
英国医学研究理事会;
关键词
TERTIARY GLEASON PATTERN-5; ACUTE MYELOID-LEUKEMIA; METHYLATION; EXPRESSION; REVEALS; KIT; BIOMARKERS; MANAGEMENT; CELLS; STAGE;
D O I
10.1371/journal.pone.0091666
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
We aimed to identify a prostate cancer DNA hypermethylation microarray signature (denoted as PHYMA) that differentiates prostate cancer from benign prostate hyperplasia (BPH), high from low-grade and lethal from non-lethal cancers. This is a non-randomized retrospective study in 111 local Asian men (87 prostate cancers and 24 BPH) treated from 1995 to 2009 in our institution. Archival prostate epithelia were laser-capture microdissected and genomic DNA extracted and bisulfite-converted. Samples were profiled using Illumina GoldenGate Methylation microarray, with raw data processed by GenomeStudio. A classification model was generated using support vector machine, consisting of a 55-probe DNA methylation signature of 46 genes. The model was independently validated on an internal testing dataset which yielded cancer detection sensitivity and specificity of 95.3% and 100% respectively, with overall accuracy of 96.4%. Second validation on another independent western cohort yielded 89.8% sensitivity and 66.7% specificity, with overall accuracy of 88.7%. A PHYMA score was developed for each sample based on the state of methylation in the PHYMA signature. Increasing PHYMA score was significantly associated with higher Gleason score and Gleason primary grade. Men with higher PHYMA scores have poorer survival on univariate (p = 0.0038, HR = 3.89) and multivariate analyses when controlled for (i) clinical stage (p = 0.055, HR = 2.57), and (ii) clinical stage and Gleason score (p = 0.043, HR = 2.61). We further performed bisulfite genomic sequencing on 2 relatively unknown genes to demonstrate robustness of the assay results. PHYMA is thus a signature with high sensitivity and specificity for discriminating tumors from BPH, and has a potential role in early detection and in predicting survival.
引用
收藏
页数:10
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