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表观遗传风险评分改善前列腺癌风险评估。

Epigenetic risk score improves prostate cancer risk assessment.

作者信息

Van Neste Leander, Groskopf Jack, Grizzle William E, Adams George W, DeGuenther Mark S, Kolettis Peter N, Bryant James E, Kearney Gary P, Kearney Michael C, Van Criekinge Wim, Gaston Sandra M

机构信息

Department of Pathology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands.

MDxHealth, Irvine, California.

出版信息

Prostate. 2017 Sep;77(12):1259-1264. doi: 10.1002/pros.23385. Epub 2017 Aug 1.

Abstract

BACKGROUND

Early detection of aggressive prostate cancer (PCa) remains crucial for effective treatment of patients. However, PCa screening remains controversial due to a high rate of overdiagnosis and overtreatment. To better reconcile both objectives, more effective methods for assessing disease severity at the time of diagnosis are needed.

METHODS

The relationship between DNA-methylation and high-grade PCa was examined in a cohort of 102 prospectively enrolled men who received standard 12-core prostate biopsies. EpiScore, an algorithm that quantifies the relative DNA methylation intensities of GSTP1, RASSF1, and APC in prostate biopsy tissue, was evaluated as a method to compensate for biopsy under-sampling and improve risk stratification at the time of diagnosis.

RESULTS

DNA-methylation intensities of GSTP1, RASSF1, and APC were higher in biopsy cores from men diagnosed with GS ≥ 7 cancer compared to men with diagnosed GS 6 disease. This was confirmed by EpiScore, which was significantly higher for subjects with high-grade biopsies and higher NCCN risk categories (both P < 0.001). In patients diagnosed with GS ≥ 7, increased levels of DNA-methylation were present, not only in the high-grade biopsy cores, but also in other cores with no or low-grade disease (P < 0.001). By combining EpiScore with traditional clinical risk factors into a logistic regression model, the prediction of high GS reached an AUC of 0.82 (95%CI: 0.73-0.91) with EpiScore, DRE, and atypical histological findings as most important contributors.

CONCLUSIONS

In men diagnosed with PCa, DNA-methylation profiling can detect under-sampled high-risk PCa in prostate biopsy specimens through a field effect. Predictive accuracy increased when EpiScore was combined with other clinical risk factors. These results suggest that EpiScore could aid in the detection of occult high-grade disease at the time of diagnosis, thereby improving the selection of candidates for Active Surveillance.

摘要

背景

早期发现侵袭性前列腺癌(PCa)对于患者的有效治疗仍然至关重要。然而,由于过度诊断和过度治疗的发生率较高,PCa筛查仍存在争议。为了更好地协调这两个目标,需要更有效的方法在诊断时评估疾病严重程度。

方法

在一组102名接受标准12针前列腺穿刺活检的前瞻性入组男性中,研究DNA甲基化与高级别PCa之间的关系。评估EpiScore,一种量化前列腺穿刺活检组织中GSTP1、RASSF1和APC相对DNA甲基化强度的算法,作为一种补偿穿刺活检取样不足并改善诊断时风险分层的方法。

结果

与诊断为GS 6疾病的男性相比,诊断为GS≥7癌症的男性穿刺活检组织中GSTP1、RASSF1和APC的DNA甲基化强度更高。EpiScore证实了这一点,高级别穿刺活检和较高NCCN风险类别的受试者的EpiScore显著更高(均P<0.001)。在诊断为GS≥7的患者中,不仅在高级别穿刺活检组织中,而且在其他无疾病或低级别疾病的组织中,DNA甲基化水平也升高(P<0.001)。通过将EpiScore与传统临床风险因素纳入逻辑回归模型,以EpiScore、直肠指检(DRE)和非典型组织学发现为最重要贡献因素时,高GS的预测AUC达到0.82(95%CI:0.73-0.91)。

结论

在诊断为PCa的男性中,DNA甲基化谱可通过场效应在前列腺穿刺活检标本中检测取样不足的高危PCa。当EpiScore与其他临床风险因素结合时,预测准确性提高。这些结果表明,EpiScore有助于在诊断时检测隐匿性高级别疾病,从而改善主动监测候选者的选择。

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