• 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

非小细胞肺癌差异 miRNAs 的生物信息学预测。

Bioinformatics prediction of differential miRNAs in non-small cell lung cancer.

机构信息

Department of Respiratory and Critical Care Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.

Research Unit of Respiratory Disease, Central South University, Changsha, Hunan, China.

出版信息

PLoS One. 2021 Jul 21;16(7):e0254854. doi: 10.1371/journal.pone.0254854. eCollection 2021.

DOI:10.1371/journal.pone.0254854
PMID:34288959
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8294502/
Abstract

BACKGROUND

Non-small cell lung cancer (NSCLC) accounts for 85% of all lung cancers. The drug resistance of NSCLC has clinically increased. This study aimed to screen miRNAs associated with NSCLC using bioinformatics analysis. We hope that the screened miRNA can provide a research direction for the subsequent treatment of NSCLC.

METHODS

We screened out the common miRNAs after compared the NSCLC-related genes in the TCGA database and GEO database. Selected miRNA was performed ROC analysis, survival analysis, and enrichment analysis (GO term and KEGG pathway).

RESULTS

A total of 21 miRNAs were screened in the two databases. And they were all highly expressed in normal and low in cancerous tissues. Hsa-mir-30a was selected by ROC analysis and survival analysis. Enrichment analysis showed that the function of hsa-mir-30a is mainly related to cell cycle regulation and drug metabolism.

CONCLUSION

Our study found that hsa-mir-30a was differentially expressed in NSCLC, and it mainly affected NSCLC by regulating the cell cycle and drug metabolism.

摘要

背景

非小细胞肺癌(NSCLC)占所有肺癌的 85%。NSCLC 的药物耐药性在临床上有所增加。本研究旨在通过生物信息学分析筛选与 NSCLC 相关的 miRNAs。我们希望筛选出的 miRNA 能为后续 NSCLC 的治疗提供研究方向。

方法

我们在 TCGA 数据库和 GEO 数据库中比较了 NSCLC 相关基因,筛选出常见的 miRNAs。对选定的 miRNA 进行 ROC 分析、生存分析和富集分析(GO 术语和 KEGG 通路)。

结果

从两个数据库中共筛选出 21 个 miRNAs,它们在正常组织中高表达,在癌组织中低表达。通过 ROC 分析和生存分析选择了 hsa-mir-30a。富集分析表明,hsa-mir-30a 的功能主要与细胞周期调控和药物代谢有关。

结论

本研究发现 hsa-mir-30a 在 NSCLC 中差异表达,主要通过调节细胞周期和药物代谢来影响 NSCLC。

相似文献

1
Bioinformatics prediction of differential miRNAs in non-small cell lung cancer.非小细胞肺癌差异 miRNAs 的生物信息学预测。
PLoS One. 2021 Jul 21;16(7):e0254854. doi: 10.1371/journal.pone.0254854. eCollection 2021.
2
Identification of key microRNAs and hub genes in non-small-cell lung cancer using integrative bioinformatics and functional analyses.采用整合生物信息学和功能分析方法鉴定非小细胞肺癌中的关键 microRNAs 和枢纽基因。
J Cell Biochem. 2020 Mar;121(3):2690-2703. doi: 10.1002/jcb.29489. Epub 2019 Nov 6.
3
Plasma miRNAs in predicting radiosensitivity in non-small cell lung cancer.血浆微小RNA在预测非小细胞肺癌放射敏感性中的作用
Tumour Biol. 2016 Sep;37(9):11927-11936. doi: 10.1007/s13277-016-5052-8. Epub 2016 Apr 13.
4
Microarray data analysis on gene and miRNA expression to identify biomarkers in non-small cell lung cancer.基因和 miRNA 表达的微阵列数据分析,以鉴定非小细胞肺癌的生物标志物。
BMC Cancer. 2020 Apr 16;20(1):329. doi: 10.1186/s12885-020-06829-x.
5
Analysis of microRNA (miRNA) expression profiles reveals 11 key biomarkers associated with non-small cell lung cancer.分析 microRNA(miRNA)表达谱揭示了与非小细胞肺癌相关的 11 个关键生物标志物。
World J Surg Oncol. 2017 Sep 19;15(1):175. doi: 10.1186/s12957-017-1244-y.
6
Expression Profiles of microRNAs in Drug-Resistant Non-Small Cell Lung Cancer Cell Lines Using microRNA Sequencing.使用 microRNA 测序技术分析耐药非小细胞肺癌细胞系中 microRNA 的表达谱
Cell Physiol Biochem. 2018;51(6):2509-2522. doi: 10.1159/000495921. Epub 2018 Dec 17.
7
Clinical evaluation of microRNA expression profiling in non small cell lung cancer.非小细胞肺癌中 microRNA 表达谱的临床评估。
Lung Cancer. 2013 Sep;81(3):388-396. doi: 10.1016/j.lungcan.2013.05.007. Epub 2013 Jun 10.
8
Bioinformatics analysis of the circRNA-miRNA-mRNA network for non-small cell lung cancer.生物信息学分析非小细胞肺癌的 circRNA-miRNA-mRNA 网络。
J Int Med Res. 2020 Jun;48(6):300060520929167. doi: 10.1177/0300060520929167.
9
miR-30a-5p together with miR-210-3p as a promising biomarker for non-small cell lung cancer: A preliminary study.miR-30a-5p 与 miR-210-3p 联合作为非小细胞肺癌有前途的生物标志物:一项初步研究。
Cancer Biomark. 2018 Feb 6;21(2):479-488. doi: 10.3233/CBM-170767.
10
Down-regulation of microRNA-144-3p and its clinical value in non-small cell lung cancer: a comprehensive analysis based on microarray, miRNA-sequencing, and quantitative real-time PCR data.下调 microRNA-144-3p 在非小细胞肺癌中的表达及其临床价值:基于芯片、miRNA 测序和定量实时 PCR 数据的综合分析。
Respir Res. 2019 Mar 4;20(1):48. doi: 10.1186/s12931-019-0994-1.

引用本文的文献

1
Knowledge, attitude, and practice toward lung cancer risk among offspring of lung cancer patients: a cross-sectional study.肺癌患者子女对肺癌风险的知识、态度和实践:一项横断面研究。
Sci Rep. 2024 Aug 3;14(1):18003. doi: 10.1038/s41598-024-69142-8.
2
Comprehensive Review: Unveiling the Pro-Oncogenic Roles of IL-1ß and PD-1/PD-L1 in NSCLC Development and Targeting Their Pathways for Clinical Management.全面综述:揭示 IL-1ß 和 PD-1/PD-L1 在 NSCLC 发展中的致癌作用,并针对其通路进行临床管理。
Int J Mol Sci. 2023 Jul 17;24(14):11547. doi: 10.3390/ijms241411547.
3
Identification of the Key miRNAs and Genes Associated with the Regulation of Non-Small Cell Lung Cancer: A Network-Based Approach.

本文引用的文献

1
Predicting lncRNA-miRNA interactions based on interactome network and graphlet interaction.基于相互作用组网络和图let相互作用预测长链非编码RNA-微小RNA相互作用
Genomics. 2021 May;113(3):874-880. doi: 10.1016/j.ygeno.2021.02.002. Epub 2021 Feb 12.
2
FUCCI Real-Time Cell-Cycle Imaging as a Guide for Designing Improved Cancer Therapy: A Review of Innovative Strategies to Target Quiescent Chemo-Resistant Cancer Cells.FUCCI实时细胞周期成像作为设计改进癌症治疗方法的指南:靶向静止化疗耐药癌细胞的创新策略综述
Cancers (Basel). 2020 Sep 17;12(9):2655. doi: 10.3390/cancers12092655.
3
Identification of the differential expression of genes and upstream microRNAs in small cell lung cancer compared with normal lung based on bioinformatics analysis.
基于网络的方法鉴定与非小细胞肺癌调控相关的关键 miRNAs 和基因。
Genes (Basel). 2022 Jun 29;13(7):1174. doi: 10.3390/genes13071174.
基于生物信息学分析鉴定小细胞肺癌与正常肺组织中基因及上游微小RNA的差异表达。
Medicine (Baltimore). 2020 Mar;99(11):e19086. doi: 10.1097/MD.0000000000019086.
4
NCMCMDA: miRNA-disease association prediction through neighborhood constraint matrix completion.NCMCMDA:通过邻域约束矩阵填充进行miRNA-疾病关联预测。
Brief Bioinform. 2021 Jan 18;22(1):485-496. doi: 10.1093/bib/bbz159.
5
miR-30a-3p Targets MAD2L1 and Regulates Proliferation of Gastric Cancer Cells.微小RNA-30a-3p靶向有丝分裂后期促进复合物/细胞周期体2(MAD2L1)并调节胃癌细胞的增殖。
Onco Targets Ther. 2019 Dec 19;12:11313-11324. doi: 10.2147/OTT.S222854. eCollection 2019.
6
Deciphering miRNAs' Action through miRNA Editing.通过 miRNA 编辑破译 miRNA 的作用。
Int J Mol Sci. 2019 Dec 11;20(24):6249. doi: 10.3390/ijms20246249.
7
Analysis of differential expression profile of miRNA in peripheral blood of patients with lung cancer.肺癌患者外周血中 miRNA 差异表达谱分析。
J Clin Lab Anal. 2019 Nov;33(9):e23003. doi: 10.1002/jcla.23003. Epub 2019 Sep 20.
8
Ensemble of decision tree reveals potential miRNA-disease associations.决策树集成揭示潜在的 miRNA-疾病关联。
PLoS Comput Biol. 2019 Jul 22;15(7):e1007209. doi: 10.1371/journal.pcbi.1007209. eCollection 2019 Jul.
9
Release of paused RNA polymerase II at specific loci favors DNA double-strand-break formation and promotes cancer translocations.暂停的 RNA 聚合酶 II 在特定基因座处的释放有利于 DNA 双链断裂的形成,并促进癌症易位。
Nat Genet. 2019 Jun;51(6):1011-1023. doi: 10.1038/s41588-019-0421-z. Epub 2019 May 20.
10
Identification of nine microRNAs as potential biomarkers for lung adenocarcinoma.鉴定九个 microRNAs 作为肺腺癌的潜在生物标志物。
FEBS Open Bio. 2019 Jan 9;9(2):315-327. doi: 10.1002/2211-5463.12572. eCollection 2019 Feb.