16个细胞衰老相关DNA甲基化特征预测头颈部鳞状细胞癌患者的总生存率

Ming Han Ye, Xin Yi Huang, Chun Jie Li, Qian Ju Wu, Fei Liu
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引用次数: 0

摘要

目的构建细胞衰老相关的DNA甲基化模型,作为头颈部鳞状细胞癌(HNSCC)患者的独立预后预测指标:从癌症基因组图谱(TCGA)中获得了499名HNSCC患者的甲基组、转录组和临床信息作为训练集。从NCBI基因表达总库(GEO)数据库下载了54名口腔鳞状细胞癌(OSCC)患者的额外独立甲基化数据集作为验证集。为了评估每个样本的细胞衰老程度,通过单样本基因组富集分析(ssGSEA)使用转录组数据计算每个患者的衰老得分(SS)。进行最小绝对收缩和选择算子(LASSO)Cox回归分析,以确认胞嘧啶、磷酸和鸟嘌呤(CpG)位点,从而建立细胞衰老相关的DNA甲基化特征:结果:根据TCGA队列中每位HNSCC患者的SS,将患者分为高SS亚组和低SS亚组。高SS组的预后优于低SS组。此外,两组患者中有 3,261 个不同的 CpG 甲基化位点(DMCs)被证实。其中,16个DMCs被纳入到16-DNA甲基化特征中,用于使用LASSO和多变量Cox回归分析评估HNSCC的预后:结论:研究发现了一种新的细胞衰老相关的 16-DNA 甲基化特征,该特征可作为评估 HNSCC 患者预后和选择适当治疗策略的独立指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sixteen Cellular Senescence-associated DNA Methylation Signature Predicts Overall Survival in Patients with Head and Neck Squamous Cell Carcinoma.

Objective: To construct a cellular senescence-related DNA methylation model to act as an independent prognosis predictor for patients with head and neck squamous cell carcinoma (HNSCC).

Methods: Methylome, transcriptome and clinical information for 499 HNSCC patients were received from The Cancer Genome Atlas (TCGA) as a training set. An extra independent methylation dataset of 54 patients with oral squamous cell carcinoma (OSCC) was downloaded from the NCBI Gene Expression Omnibus (GEO) database as the validation set. To assess the cellular senescence level of each sample, the senescence score (SS) of each patient was calculated using the transcriptome data via single-sample gene set enrichment analysis (ssGSEA). Least absolute shrinkage and selection operator (LASSO) Cox regression analyses were conducted to confirm Cytosine, phosphoric acid and Guanine (CpG) sites for the development of a cellular senescence-related DNA methylation signature.

Results: Based on the SS of each HNSCC patient in the TCGA cohort, the patients were divided into high- and low-SS subgroups. The high-SS group showed a better prognosis than the low-SS group. Moreover, 3,261 differentially methylated CpG sites (DMCs) were confirmed between the two groups. Among them, 16 DMCs were included to develop a 16-DNA methylation signature for evaluation of HNSCC prognosis using LASSO and multivariate Cox regression analysis.

Conclusion: A novel cellular senescence-related 16-DNA methylation signature was determined, which can be used as an independent index to evaluate the prognosis of HNSCC patients and select appropriate treatment strategies.

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