• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于微阵列数据的与肺腺癌转移和预后相关的生物标志物。

Biomarkers associated with metastasis and prognosis of lung adenocarcinoma based on microarray data.

作者信息

Du Jiang, Qiao Han, Xie Da-Long

机构信息

Department of Thoracic Surgery, Chinese Medical University Affiliated No. 1 Hospital, Shenyang, Liaoning, China.

出版信息

Gen Physiol Biophys. 2022 May;41(3):231-243. doi: 10.4149/gpb_2022009.

DOI:10.4149/gpb_2022009
PMID:35616003
Abstract

We attempted to discover the biomarker associated with metastasis and prognosis of lung adenocarcinoma. The mRNA/lncRNA expression profiles (GSE101836) were downloaded from the publicly available database, which included three highly metastatic and three weakly metastatic samples. The differentially expressed genes and lncRNAs were analyzed and survival analysis were performed based on the TCGA database. The prognosis-associated PPI network and mRNA-lncRNA coexpression network were constructed followed by the function and pathway enrichment analysis. The expression levels of key genes were validated in other datasets. Difference in gender was analyzed. Total 256 differentially expressed genes and 2 lncRNAs were found to be closely related with prognosis. PPI network was constructed with 222 nodes and 1464 edges. Two modules were divided from PPI network. Genes in module A were significantly enriched in cell cycle checkpoint, chromosome segregation, and mitotic cell cycle checkpoint. The module B was closely related with pyridine nucleotide metabolic process, nicotinamide nucleotide metabolic process and carbon metabolism. Coexpression network revealed lncRNA H19 and lncRNA SNHG12 were significant nodes. SNHG12 was closely related with GO:0006260DNA replication, GO:0055114oxidation-reduction process and hsa00010: Glycolysis/Gluconeogenesis. H19 was enriched in GO:0006555methionine metabolic process, and GO:0046655folic acid metabolic process. The expression levels of TTK and CCNB1 were confirmed in other datasets. The expression of TTK and CCNB1 was significantly higher in the male group than in the female group. TTK, CCNB1 and lncRNA SNHG12 may be the biomarker associated with metastasis and prognosis of lung adenocarcinoma.

摘要

我们试图发现与肺腺癌转移和预后相关的生物标志物。从公开数据库下载了mRNA/lncRNA表达谱(GSE101836),其中包括三个高转移样本和三个低转移样本。基于TCGA数据库对差异表达基因和lncRNAs进行分析并进行生存分析。构建预后相关的蛋白质-蛋白质相互作用(PPI)网络和mRNA-lncRNA共表达网络,随后进行功能和通路富集分析。在其他数据集中验证关键基因的表达水平。分析性别差异。共发现256个差异表达基因和2个lncRNAs与预后密切相关。构建了包含222个节点和1464条边的PPI网络。从PPI网络中划分出两个模块。模块A中的基因在细胞周期检查点、染色体分离和有丝分裂细胞周期检查点中显著富集。模块B与吡啶核苷酸代谢过程、烟酰胺核苷酸代谢过程和碳代谢密切相关。共表达网络显示lncRNA H19和lncRNA SNHG12是重要节点。SNHG12与GO:0006260DNA复制、GO:0055114氧化还原过程和hsa00010:糖酵解/糖异生密切相关。H19富集于GO:0006555甲硫氨酸代谢过程和GO:0046655叶酸代谢过程。在其他数据集中证实了TTK和CCNB1的表达水平。TTK和CCNB1在男性组中的表达明显高于女性组。TTK、CCNB1和lncRNA SNHG12可能是与肺腺癌转移和预后相关的生物标志物。

相似文献

1
Biomarkers associated with metastasis and prognosis of lung adenocarcinoma based on microarray data.基于微阵列数据的与肺腺癌转移和预后相关的生物标志物。
Gen Physiol Biophys. 2022 May;41(3):231-243. doi: 10.4149/gpb_2022009.
2
Identification of Three lncRNAs as Potential Predictive Biomarkers of Lung Adenocarcinoma.鉴定三个 lncRNAs 作为肺腺癌潜在的预测性生物标志物。
Biomed Res Int. 2020 Feb 19;2020:7573689. doi: 10.1155/2020/7573689. eCollection 2020.
3
Revealing potential long non-coding RNA biomarkers in lung adenocarcinoma using long non-coding RNA-mediated competitive endogenous RNA network.利用长链非编码RNA介导的竞争性内源性RNA网络揭示肺腺癌中潜在的长链非编码RNA生物标志物
Braz J Med Biol Res. 2017 Aug 7;50(9):e6297. doi: 10.1590/1414-431X20176297.
4
A comprehensive study of construction and analysis of competitive endogenous RNA networks in lung adenocarcinoma.肺腺癌中竞争性内源性 RNA 网络的构建与分析的综合研究。
Biochim Biophys Acta Proteins Proteom. 2020 Aug;1868(8):140444. doi: 10.1016/j.bbapap.2020.140444. Epub 2020 May 11.
5
Identification of long noncoding RNAs biomarkers for diagnosis and prognosis in patients with colon adenocarcinoma.鉴定长链非编码 RNA 生物标志物,用于诊断和预测结肠腺癌患者的预后。
J Cell Biochem. 2019 Mar;120(3):4121-4131. doi: 10.1002/jcb.27697. Epub 2018 Sep 30.
6
Integration analysis of long non-coding RNA (lncRNA) role in tumorigenesis of colon adenocarcinoma.长链非编码 RNA(lncRNA)在结肠腺癌发生中的作用的综合分析。
BMC Med Genomics. 2020 Jul 29;13(1):108. doi: 10.1186/s12920-020-00757-2.
7
Construction of a competing endogenous RNA network using differentially expressed lncRNAs, miRNAs and mRNAs in non‑small cell lung cancer.构建竞争性内源性 RNA 网络,使用非小细胞肺癌中差异表达的 lncRNA、miRNA 和 mRNA。
Oncol Rep. 2019 Dec;42(6):2402-2415. doi: 10.3892/or.2019.7378. Epub 2019 Oct 17.
8
A group of long noncoding RNAs identified by data mining can predict the prognosis of lung adenocarcinoma.一组通过数据挖掘鉴定的长链非编码 RNA 可以预测肺腺癌的预后。
Cancer Sci. 2018 Dec;109(12):4033-4044. doi: 10.1111/cas.13822. Epub 2018 Nov 4.
9
Integrated analysis of long non-coding RNA‑associated ceRNA network reveals potential lncRNA biomarkers in human lung adenocarcinoma.长非编码 RNA 相关 ceRNA 网络的综合分析揭示了人类肺腺癌中潜在的 lncRNA 生物标志物。
Int J Oncol. 2016 Nov;49(5):2023-2036. doi: 10.3892/ijo.2016.3716. Epub 2016 Sep 30.
10
Comprehensive analysis of prognostic biomarkers in lung adenocarcinoma based on aberrant lncRNA-miRNA-mRNA networks and Cox regression models.基于异常 lncRNA-miRNA-mRNA 网络和 Cox 回归模型的肺腺癌预后生物标志物的综合分析。
Biosci Rep. 2020 Jan 31;40(1). doi: 10.1042/BSR20191554.

引用本文的文献

1
Lung cancer cell derived sEVs enhance the metastasis of non-small cell lung cancer via SNHG12/miR-326/SLC7A11 axis.肺癌细胞衍生的外泌体通过SNHG12/miR-326/SLC7A11轴增强非小细胞肺癌的转移。
Cancer Biol Ther. 2025 Dec;26(1):2510041. doi: 10.1080/15384047.2025.2510041. Epub 2025 May 26.