Suppr超能文献

全基因组肿瘤DNA甲基化分析鉴定出临床局限性前列腺癌男性患者转移致死进展的新型预后生物标志物。

Epigenome-Wide Tumor DNA Methylation Profiling Identifies Novel Prognostic Biomarkers of Metastatic-Lethal Progression in Men Diagnosed with Clinically Localized Prostate Cancer.

作者信息

Zhao Shanshan, Geybels Milan S, Leonardson Amy, Rubicz Rohina, Kolb Suzanne, Yan Qingxiang, Klotzle Brandy, Bibikova Marina, Hurtado-Coll Antonio, Troyer Dean, Lance Raymond, Lin Daniel W, Wright Jonathan L, Ostrander Elaine A, Fan Jian-Bing, Feng Ziding, Stanford Janet L

机构信息

National Institute of Environmental Health Sciences, Biostatistics and Computational Biology Branch, Research Triangle Park, Durham, North Carolina.

Division of Public Health Sciences, Fred Hutchison Cancer Research Center, Seattle, Washington.

出版信息

Clin Cancer Res. 2017 Jan 1;23(1):311-319. doi: 10.1158/1078-0432.CCR-16-0549. Epub 2016 Jun 29.

Abstract

PURPOSE

Aside from Gleason sum, few factors accurately identify the subset of prostate cancer patients at high risk for metastatic progression. We hypothesized that epigenetic alterations could distinguish prostate tumors with life-threatening potential.

EXPERIMENTAL DESIGN

Epigenome-wide DNA methylation profiling was performed in surgically resected primary tumor tissues from a population-based (n = 430) and a replication (n = 80) cohort of prostate cancer patients followed prospectively for at least 5 years. Metastasis was confirmed by positive bone scan, MRI, CT, or biopsy, and death certificates confirmed cause of death. AUC, partial AUC (pAUC, 95% specificity), and P value criteria were used to select differentially methylated CpG sites that robustly stratify patients with metastatic-lethal from nonrecurrent tumors, and which were complementary to Gleason sum.

RESULTS

Forty-two CpG biomarkers stratified patients with metastatic-lethal versus nonrecurrent prostate cancer in the discovery cohort, and eight of these CpGs replicated in the validation cohort based on a significant (P < 0.05) AUC (range, 0.66-0.75) or pAUC (range, 0.007-0.009). The biomarkers that improved discrimination of patients with metastatic-lethal prostate cancer include CpGs in five genes (ALKBH5, ATP11A, FHAD1, KLHL8, and PI15) and three intergenic regions. In the validation dataset, the AUC for Gleason sum alone (0.82) significantly increased with the addition of four individual CpGs (range, 0.86-0.89; all P <0.05).

CONCLUSIONS

Eight differentially methylated CpGs that distinguish patients with metastatic-lethal from nonrecurrent tumors were validated. These novel epigenetic biomarkers warrant further investigation as they may improve prognostic classification of patients with clinically localized prostate cancer and provide new insights on tumor aggressiveness. Clin Cancer Res; 23(1); 311-9. ©2016 AACR.

摘要

目的

除了Gleason评分外,几乎没有因素能准确识别出有转移进展高风险的前列腺癌患者亚组。我们假设表观遗传改变可以区分具有危及生命潜力的前列腺肿瘤。

实验设计

对基于人群的队列(n = 430)和复制队列(n = 80)中手术切除的原发性肿瘤组织进行全基因组DNA甲基化分析,这些前列腺癌患者前瞻性随访至少5年。通过骨扫描、MRI、CT或活检阳性确认转移,死亡证明确定死亡原因。使用AUC、部分AUC(pAUC,95%特异性)和P值标准来选择差异甲基化的CpG位点,这些位点能有力地将有转移致死性的患者与无复发肿瘤的患者分层,并且与Gleason评分互补。

结果

在发现队列中,42个CpG生物标志物对有转移致死性的前列腺癌患者和无复发的患者进行了分层,其中8个CpG在验证队列中基于显著(P < 0.05)的AUC(范围为0.66 - 0.75)或pAUC(范围为0.007 - 0.009)得以复制。改善对有转移致死性前列腺癌患者区分能力的生物标志物包括5个基因(ALKBH5、ATP11A、FHAD1、KLHL8和PI15)中的CpG以及3个基因间区域。在验证数据集中,单独的Gleason评分的AUC(0.82)在加入4个单独的CpG后显著增加(范围为0.86 - 0.89;所有P < 0.05)。

结论

验证了8个能区分有转移致死性的患者与无复发肿瘤患者的差异甲基化CpG。这些新的表观遗传生物标志物值得进一步研究,因为它们可能改善临床局限性前列腺癌患者的预后分类,并为肿瘤侵袭性提供新的见解。临床癌症研究;23(1);311 - 9。©2016美国癌症研究协会。

相似文献

2
Copy number alterations are associated with metastatic-lethal progression in prostate cancer.拷贝数改变与前列腺癌转移致死进展相关。
Prostate Cancer Prostatic Dis. 2020 Sep;23(3):494-506. doi: 10.1038/s41391-020-0212-8. Epub 2020 Feb 18.

引用本文的文献

3
DNA methylation alterations in prostate cancer: from diagnosis to treatment.前列腺癌中的DNA甲基化改变:从诊断到治疗
Transl Androl Urol. 2025 Feb 28;14(2):454-462. doi: 10.21037/tau-24-382. Epub 2025 Feb 25.
4
The Landscape of Prostate Tumour Methylation.前列腺肿瘤甲基化图谱
bioRxiv. 2025 Apr 28:2025.02.07.637178. doi: 10.1101/2025.02.07.637178.

本文引用的文献

1
Cancer statistics, 2016.癌症统计数据,2016 年。
CA Cancer J Clin. 2016 Jan-Feb;66(1):7-30. doi: 10.3322/caac.21332. Epub 2016 Jan 7.
5
Prostate cancer.前列腺癌。
Lancet. 2016 Jan 2;387(10013):70-82. doi: 10.1016/S0140-6736(14)61947-4. Epub 2015 Jun 11.
6
Genomic Predictors of Outcome in Prostate Cancer.前列腺癌预后的基因组预测因子。
Eur Urol. 2015 Dec;68(6):1033-44. doi: 10.1016/j.eururo.2015.04.008. Epub 2015 Apr 23.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验