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三个低甲基化基因与胰腺癌患者较差的总生存期相关。

Three hypomethylated genes were associated with poor overall survival in pancreatic cancer patients.

作者信息

Chen Huiming, Kong Yan, Yao Qing, Zhang Xing, Fu Yunong, Li Jia, Liu Chang, Wang Zheng

机构信息

Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, Shaanxi, China.

Department of General Surgery, Shaanxi Provincial Rehabilitation Hospital,Xi'an 710065, Shaanxi, China.

出版信息

Aging (Albany NY). 2019 Feb 1;11(3):885-897. doi: 10.18632/aging.101785.

Abstract

Pancreatic cancer (PC) is a highly malignant cancer with poor prognosis and high mortality. Aberrant DNA methylation plays a critical role in the occurrence, progression and prognosis of malignant tumors. In this study, we employed multiple datasets from APGI, TCGA and GEO to perform Multi-Omics analysis, including DNA methylation and expression profiling analysis. Three differentially expressed genes (SULT1E1, IGF2BP3, MAP4K4) with altered status of DNA methylation were identified and then enrolled into prognostic risk score model using LASSO regression. Univariate cox regression analysis indicated that high risk score was significantly associated with poor prognosis. Multivariate cox regression analysis proved the risk score was an independent prognostic factor for PC. In addition, time-dependent ROC curves indicated good performance of our model in predicting the 1-, 3- and 5-year survival of PC patients. Besides, stratified survival analysis revealed that the risk score model had greater prognostic value for patients of late stage with T3/T4 and N+. Pathway enrichment analysis suggested that these three genes might promote tumor progression by affecting signaling by Rho GTPases and chromosome segregation. In summary, three hypomethylated gene signature were significantly associated with patients' overall survival, which might serve as potential prognostic biomarkers for PC patients.

摘要

胰腺癌(PC)是一种预后差、死亡率高的高度恶性肿瘤。异常的DNA甲基化在恶性肿瘤的发生、发展和预后中起关键作用。在本研究中,我们利用来自APGI、TCGA和GEO的多个数据集进行多组学分析,包括DNA甲基化和表达谱分析。鉴定出三个DNA甲基化状态改变的差异表达基因(SULT1E1、IGF2BP3、MAP4K4),然后使用LASSO回归将其纳入预后风险评分模型。单因素cox回归分析表明,高风险评分与预后不良显著相关。多因素cox回归分析证明风险评分是PC的独立预后因素。此外,时间依赖性ROC曲线表明我们的模型在预测PC患者1年、3年和5年生存率方面表现良好。此外,分层生存分析显示,风险评分模型对T3/T4和N+晚期患者具有更大的预后价值。通路富集分析表明,这三个基因可能通过影响Rho GTPases信号传导和染色体分离来促进肿瘤进展。总之,三个低甲基化基因特征与患者的总生存期显著相关,这可能作为PC患者潜在的预后生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4be/6382432/99f34b53b52e/aging-11-101785-g001.jpg

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