Litovkin Kirill, Joniau Steven, Lerut Evelyne, Laenen Annouschka, Gevaert Olivier, Spahn Martin, Kneitz Burkhard, Isebaert Sofie, Haustermans Karin, Beullens Monique, Van Eynde Aleyde, Bollen Mathieu
Laboratory of Biosignaling and Therapeutics, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium,
J Cancer Res Clin Oncol. 2014 Nov;140(11):1849-61. doi: 10.1007/s00432-014-1738-8. Epub 2014 Jun 18.
To explore differential methylation of HAAO, HOXD3, LGALS3, PITX2, RASSF1 and TDRD1 as a molecular tool to predict biochemical recurrence (BCR) in patients with high-risk prostate cancer (PCa).
A multiplexed nested methylation-specific PCR was applied to quantify promoter methylation of the selected markers in five cell lines, 42 benign prostatic hyperplasia (BPH) and 71 high-risk PCa tumor samples. Uni- and multivariate Cox regression models were used to assess the importance of the methylation level in predicting BCR.
A PCa-specific methylation marker HAAO in combination with HOXD3 and a hypomethylation marker TDRD1 distinguished PCa samples (>90 % of tumor cells each) from BPH with a sensitivity of 0.99 and a specificity of 0.95. High methylation of PITX2, HOXD3 and RASSF1, as well as low methylation of TDRD1, appeared to be significantly associated with a higher risk for BCR (HR 3.96, 3.44, 2.80 and 2.85, correspondingly) after correcting for established risk factors. When DNA methylation was treated as a continuous variable, a two-gene model PITX2 × 0.020677 + HOXD3 × 0.0043132 proved to be the best predictor of BCR (HR 4.85) compared with the individual markers. This finding was confirmed in an independent set of 52 high-risk PCa tumor samples (HR 11.89).
Differential promoter methylation of HOXD3, PITX2, RASSF1 and TDRD1 emerges as an independent predictor of BCR in high-risk PCa patients. A two-gene continuous DNA methylation model "PITX2 × 0.020677 + HOXD3 × 0.0043132" is a better predictor of BCR compared with individual markers.
探讨HAAO、HOXD3、LGALS3、PITX2、RASSF1和TDRD1的差异甲基化作为预测高危前列腺癌(PCa)患者生化复发(BCR)的分子工具。
应用多重巢式甲基化特异性PCR定量检测5种细胞系、42例良性前列腺增生(BPH)和71例高危PCa肿瘤样本中所选标志物的启动子甲基化。单因素和多因素Cox回归模型用于评估甲基化水平在预测BCR中的重要性。
PCa特异性甲基化标志物HAAO与HOXD3以及低甲基化标志物TDRD1可将PCa样本(各肿瘤细胞>90%)与BPH区分开来,灵敏度为0.99,特异性为0.95。在校正既定危险因素后,PITX2、HOXD3和RASSF1的高甲基化以及TDRD1的低甲基化似乎与BCR风险较高显著相关(相应的风险比分别为3.96、3.44、2.80和2.85)。当将DNA甲基化视为连续变量时,与单个标志物相比,双基因模型PITX2×0.020677 + HOXD3×0.0043132被证明是BCR的最佳预测指标(风险比4.85)。这一发现在一组独立的52例高危PCa肿瘤样本中得到证实(风险比11.89)。
HOXD3、PITX2、RASSF1和TDRD1的启动子差异甲基化是高危PCa患者BCR的独立预测指标。与单个标志物相比,双基因连续DNA甲基化模型“PITX2×0.020677 + HOXD3×0.0043132”是BCR的更好预测指标。