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输卵管-卵巢高级别浆液性癌免疫抑制活动中涉及的甲基化特征

英文原题:Methylation Signature Implicated in Immuno-Suppressive Activities in Tubo-Ovarian High-Grade Serous Carcinoma.

查看英文原题

Methylation Signature Implicated in Immuno-Suppressive Activities in Tubo-Ovarian High-Grade Serous Carcinoma.

PubMed 2023/04/03(内容时间) Cancer Epidemiol Biomarkers Prev Q1 · IF 3.7(JCR 2025)

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研究概要

多中心分析鉴定出一种新的 HGSC 肿瘤甲基化定量特征,该特征适用于多种市售平台,在校正其他因素后提示复发/死亡时间更短。

中文摘要

输卵管-卵巢高级别浆液性癌(HGSC)诊断后病程具有侵袭性,因此更好地理解其预后因素至关重要。肿瘤DNA甲基化差异有望预测结局,但既往研究大多依赖特定平台,无法评估多种分子特征。

研究者分析1,040份冷冻HGSC样本的全基因组DNA甲基化,其中325份此前已有报告,旨在寻找可跨平台的定量多平台甲基化特征,并分析其与临床特征、肿瘤特征、至复发/死亡时间、CD8⁺TIL(肿瘤浸润淋巴细胞)程度、基因表达分子亚型及ATP结合盒转运蛋白TAP1基因表达之间的关系。

甲基化特征与复发时间缩短相关,且独立于临床因素(新增队列N=715,风险比[HR]1.65;95%置信区间[CI]1.10–2.46;P=0.015;已发表队列N=325,HR 2.87;95% CI 2.17–3.81;P=2.2×10⁻¹³)。校正基因表达分子亚型和TAP1表达后,该特征仍有预后价值(N=599;HR 2.22;95% CI 1.66–2.95;P=4.1×10⁻⁸)。多变量校正分析中,甲基化特征与CD8⁺TIL水平呈负相关(P=2.4×10⁻⁷),与TAP1表达呈负相关(P=0.0011),并与基因表达分子亚型相关(P=5.9×10⁻⁴)。

多中心分析鉴定出一种新的HGSC定量肿瘤甲基化特征,可用于多种商业平台;该特征提示复发/死亡时间缩短,且不受其他因素影响。结合免疫细胞组成分析,结果提示DNA甲基化参与免疫抑制性微环境。影响:本研究有助于鉴定可靶向的表观基因组过程,并筛选最可能从个体化治疗中获益的患者。

展开英文摘要原文

Better understanding of prognostic factors in tubo-ovarian high-grade serous carcinoma (HGSC) is critical, as diagnosis confers an aggressive disease course. Variation in tumor DNA methylation shows promise predicting outcome, yet prior studies were largely platform-specific and unable to evaluate multiple molecular features.

We analyzed genome-wide DNA methylation in 1,040 frozen HGSC, including 325 previously reported upon, seeking a multi-platform quantitative methylation signature that we evaluated in relation to clinical features, tumor characteristics, time to recurrence/death, extent of CD8+ tumor-infiltrating lymphocytes (TIL), gene expression molecular subtypes, and gene expression of the ATP-binding cassette transporter TAP1.

Methylation signature was associated with shorter time to recurrence, independent of clinical factors (N = 715 new set, hazard ratio (HR), 1.65; 95% confidence interval (CI), 1.10-2.46; P = 0.015; N = 325 published set HR, 2.87; 95% CI, 2.17-3.81; P = 2.2 10-13) and remained prognostic after adjustment for gene expression molecular subtype and TAP1 expression (N = 599; HR, 2.22; 95% CI, 1.66-2.95; P = 4.1 10-8). Methylation signature was inversely related to CD8+ TIL levels (P = 2.4 10-7) and TAP1 expression (P = 0.0011) and was associated with gene expression molecular subtype (P = 5.9 10-4) in covariate-adjusted analysis.

Multi-center analysis identified a novel quantitative tumor methylation signature of HGSC applicable to numerous commercially available platforms indicative of shorter time to recurrence/death, adjusting for other factors. Along with immune cell composition analysis, these results suggest a role for DNA methylation in the immunosuppressive microenvironment. IMPACT: This work aids in identification of targetable epigenome processes and stratification of patients for whom tailored treatment may be most beneficial.

论文信息

作者
Wang C、Block MS、Cunningham JM、Sherman ME、McCauley BM、Armasu SM、Vierkant RA、Traficante N
第一作者单位
Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.United States
通讯作者单位
Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.United States
文献类型
美国 NIH 资助研究 · 美国政府(非公共卫生署)资助研究 · 非美国政府资助研究
期刊
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2023 Apr 3
原文标识
PubMed 36790339 · DOI 10.1158/1055-9965.EPI-22-0941