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基于葡萄糖代谢和DNA甲基化的18基因特征可改善膀胱癌的预后预测。

An 18-gene signature based on glucose metabolism and DNA methylation improves prognostic prediction for urinary bladder cancer.

作者信息

Liu Zhuonan, Sun Tianshui, Zhang Zhe, Bi Jianbin, Kong Chuize

机构信息

Department of Urology, Fist Hospital of China Medical University, School of China Medical University, No. 155 Nanjing North Street, Heping District, Shenyang City, Liaoning Province 110004, PR China.

Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, PR China.

出版信息

Genomics. 2021 Jan;113(1 Pt 2):896-907. doi: 10.1016/j.ygeno.2020.10.022. Epub 2020 Oct 21.

DOI:10.1016/j.ygeno.2020.10.022
PMID:33096258
Abstract

BACKGROUND

Glucose metabolism and DNA methylation play important roles in cancers. We aimed to identify glucose metabolism-related genes that were DNA methylation associated to establish a prognostic signature of bladder cancer (BLCA).

METHODS

With BLCA sample transcriptome data from The Cancer Genome Atlas (TCGA) and methylation data from TCGA 450 K microarray, glucose metabolism-related genes associated to prognosis and DNA methylation were identified and a prognostic signature was established. GSEA and WGCNA analysis were performed and two genes, UCHL1 and PYCR1, were selected for functional validations.

RESULTS

18 target genes were identified and the signature based on them was considered an effective and independent prognostic factor. Several pathways were enriched in the high-risk group by GSEA and three modules of genes were identified by WGCNA. UCHL1 and PYCR1 proliferated proliferation, migration and invasion ability of bladder cancer cells.

CONCLUSIONS

The 18-gene signature is an independent prognostic factor for bladder cancer patients.

摘要

背景

葡萄糖代谢和DNA甲基化在癌症中发挥重要作用。我们旨在鉴定与DNA甲基化相关的葡萄糖代谢相关基因,以建立膀胱癌(BLCA)的预后特征。

方法

利用来自癌症基因组图谱(TCGA)的BLCA样本转录组数据和来自TCGA 450K芯片的甲基化数据,鉴定与预后和DNA甲基化相关的葡萄糖代谢相关基因,并建立预后特征。进行基因集富集分析(GSEA)和加权基因共表达网络分析(WGCNA),并选择UCHL1和PYCR1两个基因进行功能验证。

结果

鉴定出18个靶基因,基于这些基因的特征被认为是一个有效的独立预后因素。通过GSEA在高危组中富集了几条通路,通过WGCNA鉴定出三个基因模块。UCHL1和PYCR1促进了膀胱癌细胞的增殖、迁移和侵袭能力。

结论

18基因特征是膀胱癌患者的独立预后因素。

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