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RYR2 突变通过下调 DKK1 和上调 GS1-115G20.1 延长非小细胞肺癌的生存期:一项基于加权基因共表达网络分析和风险预后模型的研究。

RYR2 mutation in non-small cell lung cancer prolongs survival via down-regulation of DKK1 and up-regulation of GS1-115G20.1: A weighted gene Co-expression network analysis and risk prognostic models.

机构信息

Department of Thoracic Surgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.

Kunming Medical University, Kunming, Yunnan, China.

出版信息

IET Syst Biol. 2022 Apr;16(2):43-58. doi: 10.1049/syb2.12038. Epub 2021 Dec 7.

DOI:10.1049/syb2.12038
PMID:34877784
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8965387/
Abstract

RYR2 mutation is clinically frequent in non-small cell lung cancer (NSCLC) with its function being elusive. We downloaded lung squamous cell carcinoma and lung adenocarcinoma samples from the TCGA database, split the samples into RYR2 mutant group (n = 337) and RYR2 wild group (n = 634), and established Kaplan-Meier curves. The results showed that RYR2 mutant group lived longer than the wild group (p = 0.027). Weighted gene co-expression network analysis (WGCNA) of differentially expressed genes (DEGs) yielded prognosis-related genes. Five mRNAs and 10 lncRNAs were selected to build survival prognostic models with other clinical features. The AUCs of 2 models are 0.622 and 0.565 for predicting survival at 3 years. Among these genes, the AUCs of DKK1 and GS1-115G20.1 expression levels were 0.607 and 0.560, respectively, which predicted the 3-year survival rate of NSCLC sufferers. GSEA identified an association of high DKK1 expression with TP53, MTOR, and VEGF expression. Several target miRNAs interacting with GS1-115G20.1 were observed to show the relationship with the phenotype, treatment, and survival of NSCLC. NSCLC patients with RYR2 mutation may obtain better prognosis by down-regulating DKK1 and up-regulating GS1-115G20.1.

摘要

RYR2 突变在非小细胞肺癌(NSCLC)中较为常见,但功能尚不清楚。我们从 TCGA 数据库中下载了肺鳞癌和肺腺癌样本,将样本分为 RYR2 突变组(n=337)和 RYR2 野生组(n=634),并建立 Kaplan-Meier 曲线。结果表明,RYR2 突变组的生存期长于野生组(p=0.027)。对差异表达基因(DEGs)进行加权基因共表达网络分析(WGCNA),得到与预后相关的基因。选择 5 个 mRNA 和 10 个 lncRNA 与其他临床特征构建生存预后模型。两个模型预测 3 年生存率的 AUC 分别为 0.622 和 0.565。在这些基因中,DKK1 和 GS1-115G20.1 表达水平的 AUC 分别为 0.607 和 0.560,可预测 NSCLC 患者的 3 年生存率。GSEA 发现高 DKK1 表达与 TP53、MTOR 和 VEGF 表达相关。观察到与 GS1-115G20.1 相互作用的几个靶 miRNA 与 NSCLC 的表型、治疗和生存有关。RYR2 突变的 NSCLC 患者通过下调 DKK1 和上调 GS1-115G20.1 可能获得更好的预后。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc44/8965387/bb723a02a774/SYB2-16-43-g004.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc44/8965387/28733e092315/SYB2-16-43-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc44/8965387/739d220792f1/SYB2-16-43-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc44/8965387/e7434751dff3/SYB2-16-43-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc44/8965387/e80eb0a998e4/SYB2-16-43-g003.jpg
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