• 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

肺腺癌中肿瘤复发相关枢纽基因的加权基因共表达网络分析及治疗策略

Weighted Gene Co-Expression Network Analysis and Treatment Strategies of Tumor Recurrence-Associated Hub Genes in Lung Adenocarcinoma.

作者信息

Shen Zhengze, Liu Shengwei, Liu Jie, Liu Jingdong, Yao Caoyuan

机构信息

Yongchuan Hospital of Chongqing Medical University, Chongqing, China.

JiangJin Central Hosptial of Chongqing, Chongqing, China.

出版信息

Front Genet. 2021 Nov 16;12:756235. doi: 10.3389/fgene.2021.756235. eCollection 2021.

DOI:10.3389/fgene.2021.756235
PMID:34868230
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8636777/
Abstract

Despite the recent progress of lung adenocarcinoma (LUAD) therapy, tumor recurrence remained to be a challenging factor that impedes the effectiveness of treatment. The objective of the present study was to predict the hub genes affecting LUAD recurrence via weighted gene co-expression network analysis (WGCNA). Microarray samples from LUAD dataset of GSE32863 were analyzed, and the modules with the highest correlation to tumor recurrence were selected. Functional enrichment analysis was conducted, followed by establishment of a protein-protein interaction (PPI) network. Subsequently, hub genes were identified by overall survival analyses and further validated by evaluation of expression in both myeloid populations and tissue samples of LUAD. Gene set enrichment analysis (GSEA) was then carried out, and construction of transcription factors (TF)-hub gene and drug-hub gene interaction network was also achieved. A total of eight hub genes (, , , , , , , and ) were finally identified to be closely correlated with LUAD recurrence. In addition, TFs that regulate hub genes have been predicted, including MYC, PML, and YY1. Finally, drugs including arsenic trioxide, cisplatin, Jinfukang, and sunitinib were mined for the treatment of the eight hub genes. In conclusion, our study may facilitate the invention of targeted therapeutic drugs and shed light on the understanding of the mechanism for LUAD recurrence.

摘要

尽管肺腺癌（LUAD）治疗最近取得了进展，但肿瘤复发仍然是阻碍治疗效果的一个具有挑战性的因素。本研究的目的是通过加权基因共表达网络分析（WGCNA）预测影响LUAD复发的关键基因。对来自GSE32863的LUAD数据集的微阵列样本进行了分析，并选择了与肿瘤复发相关性最高的模块。进行了功能富集分析，随后建立了蛋白质-蛋白质相互作用（PPI）网络。随后，通过总生存分析鉴定出关键基因，并通过评估其在LUAD的髓系细胞群体和组织样本中的表达进行进一步验证。然后进行基因集富集分析（GSEA），并构建了转录因子（TF）-关键基因和药物-关键基因相互作用网络。最终共鉴定出8个与LUAD复发密切相关的关键基因（、、、、、、和）。此外，还预测了调控关键基因的转录因子，包括MYC、PML和YY1。最后，挖掘出包括三氧化二砷、顺铂、金复康和舒尼替尼在内的药物用于治疗这8个关键基因。总之，我们的研究可能有助于靶向治疗药物的研发，并为理解LUAD复发机制提供线索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/1f9910715fbe/fgene-12-756235-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/57694c1d552d/fgene-12-756235-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/047ae764cf87/fgene-12-756235-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/df628e04f56d/fgene-12-756235-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/d1c75ddd0bca/fgene-12-756235-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/4fb36c926f2f/fgene-12-756235-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/9183431d1c7b/fgene-12-756235-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/a9a08ebd22d8/fgene-12-756235-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/2a3b8b80c3b6/fgene-12-756235-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/5d88da24b670/fgene-12-756235-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/56bc299bd06a/fgene-12-756235-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/05159708da4d/fgene-12-756235-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/1f9910715fbe/fgene-12-756235-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/57694c1d552d/fgene-12-756235-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/047ae764cf87/fgene-12-756235-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/df628e04f56d/fgene-12-756235-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/d1c75ddd0bca/fgene-12-756235-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/4fb36c926f2f/fgene-12-756235-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/9183431d1c7b/fgene-12-756235-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/a9a08ebd22d8/fgene-12-756235-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/2a3b8b80c3b6/fgene-12-756235-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/5d88da24b670/fgene-12-756235-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/56bc299bd06a/fgene-12-756235-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/05159708da4d/fgene-12-756235-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b5/8636777/1f9910715fbe/fgene-12-756235-g012.jpg

相似文献

1
Weighted Gene Co-Expression Network Analysis and Treatment Strategies of Tumor Recurrence-Associated Hub Genes in Lung Adenocarcinoma.肺腺癌中肿瘤复发相关枢纽基因的加权基因共表达网络分析及治疗策略
Front Genet. 2021 Nov 16;12:756235. doi: 10.3389/fgene.2021.756235. eCollection 2021.
2
Low expression of CHRDL1 and SPARCL1 predicts poor prognosis of lung adenocarcinoma based on comprehensive analysis and immunohistochemical validation.基于综合分析和免疫组化验证，CHRDL1和SPARCL1的低表达预示肺腺癌预后不良。
Cancer Cell Int. 2021 May 12;21(1):259. doi: 10.1186/s12935-021-01933-9.
3
Weighted gene co-expression network analysis of hub genes in lung adenocarcinoma.肺腺癌中枢纽基因的加权基因共表达网络分析
Evol Bioinform Online. 2021 Apr 12;17:11769343211009898. doi: 10.1177/11769343211009898. eCollection 2021.
4
Co-expression network analysis identified KIF2C in association with progression and prognosis in lung adenocarcinoma.共表达网络分析鉴定出 KIF2C 与肺腺癌的进展和预后相关。
Cancer Biomark. 2019;24(3):371-382. doi: 10.3233/CBM-181512.
5
Identification of Susceptible Genes for Chronic Obstructive Pulmonary Disease with Lung Adenocarcinoma by Weighted Gene Co-Expression Network Analysis.通过加权基因共表达网络分析鉴定慢性阻塞性肺疾病合并肺腺癌的易感基因
Onco Targets Ther. 2021 Jun 4;14:3625-3634. doi: 10.2147/OTT.S303544. eCollection 2021.
6
Identification of the susceptibility genes for COVID-19 in lung adenocarcinoma with global data and biological computation methods.利用全球数据和生物计算方法鉴定肺腺癌中COVID-19的易感基因。
Comput Struct Biotechnol J. 2021;19:6229-6239. doi: 10.1016/j.csbj.2021.11.026. Epub 2021 Nov 20.
7
Identification of Hub Genes and Construction of a Transcriptional Regulatory Network Associated With Tumor Recurrence in Colorectal Cancer by Weighted Gene Co-expression Network Analysis.通过加权基因共表达网络分析鉴定结直肠癌中与肿瘤复发相关的枢纽基因并构建转录调控网络
Front Genet. 2021 Apr 7;12:649752. doi: 10.3389/fgene.2021.649752. eCollection 2021.
8
GINS2 Functions as a Key Gene in Lung Adenocarcinoma by WGCNA Co-Expression Network Analysis.通过WGCNA共表达网络分析，GINS2在肺腺癌中作为关键基因发挥作用。
Onco Targets Ther. 2020 Jul 8;13:6735-6746. doi: 10.2147/OTT.S255251. eCollection 2020.
9
Weighted gene co-expression network analysis identified MYL9 and CNN1 are associated with recurrence in colorectal cancer.加权基因共表达网络分析表明，MYL9和CNN1与结直肠癌复发相关。
J Cancer. 2020 Feb 10;11(8):2348-2359. doi: 10.7150/jca.39723. eCollection 2020.
10
Microarray analysis of the expression profile of immune-related gene in rapid recurrence early-stage lung adenocarcinoma.免疫相关基因在快速复发早期肺腺癌中表达谱的基因芯片分析。
J Cancer Res Clin Oncol. 2020 Sep;146(9):2299-2310. doi: 10.1007/s00432-020-03287-7. Epub 2020 Jun 18.

引用本文的文献

1
Development of a relapse-related RiskScore model to predict the drug sensitivity and prognosis for patients with ovarian cancer.开发一种与复发相关的风险评分模型，以预测卵巢癌患者的药物敏感性和预后。
PeerJ. 2025 Aug 11;13:e19764. doi: 10.7717/peerj.19764. eCollection 2025.
2
Pan-cancer landscape analysis of NOP58 and its oncogenic driving role in lung adenocarcinoma.泛癌症中 NOP58 的全景分析及其在肺腺癌中的致癌驱动作用。
Sci Rep. 2024 Nov 11;14(1):27583. doi: 10.1038/s41598-024-77500-9.
3
Overexpression of NOP58 Facilitates Proliferation, Migration, Invasion, and Stemness of Non-small Cell Lung Cancer by Stabilizing hsa_circ_0001550.

本文引用的文献

1
Identification of Arp2/3 Complex Subunits as Prognostic Biomarkers for Hepatocellular Carcinoma.鉴定Arp2/3复合体亚基作为肝细胞癌的预后生物标志物
Front Mol Biosci. 2021 Jul 9;8:690151. doi: 10.3389/fmolb.2021.690151. eCollection 2021.
2
Identification of a competing endogenous RNA axis "SVIL-AS1/miR-103a/ICE1" associated with chemoresistance in lung adenocarcinoma by comprehensive bioinformatics analysis.通过综合生物信息学分析鉴定与肺腺癌化疗耐药相关的竞争性内源性 RNA 轴“SVIL-AS1/miR-103a/ICE1”。
Cancer Med. 2021 Sep;10(17):6022-6034. doi: 10.1002/cam4.4132. Epub 2021 Jul 15.
3
Resolving the Spatial and Cellular Architecture of Lung Adenocarcinoma by Multiregion Single-Cell Sequencing.
NOP58 的过表达通过稳定 hsa_circ_0001550 促进非小细胞肺癌的增殖、迁移、侵袭和干性。
Anticancer Agents Med Chem. 2024;24(16):1197-1206. doi: 10.2174/0118715206293943240615105417.
4
Implications of GCLC in prognosis and immunity of lung adenocarcinoma and multi-omics regulation mechanisms.GCLC 在肺腺癌预后和免疫中的意义及多组学调控机制。
BMC Pulm Med. 2024 May 15;24(1):239. doi: 10.1186/s12890-024-03052-3.
5
A novel feature selection algorithm for identifying hub genes in lung cancer.一种用于识别肺癌中枢纽基因的新型特征选择算法。
Sci Rep. 2023 Dec 7;13(1):21671. doi: 10.1038/s41598-023-48953-1.
6
Ribosome biogenesis and function in development and disease.核糖体的生物发生和功能在发育和疾病中的作用。
Development. 2023 Mar 1;150(5). doi: 10.1242/dev.201187. Epub 2023 Mar 7.
7
Inhibition of EZH2 Ameliorates Sepsis Acute Lung Injury (SALI) and Non-Small-Cell Lung Cancer (NSCLC) Proliferation through the PD-L1 Pathway.抑制 EZH2 通过 PD-L1 通路改善脓毒症急性肺损伤（SALI）和非小细胞肺癌（NSCLC）增殖。
Cells. 2022 Dec 7;11(24):3958. doi: 10.3390/cells11243958.
8
Aberrant expression of KDM1A inhibits ferroptosis of lung cancer cells through up-regulating c-Myc.KDM1A 的异常表达通过上调 c-Myc 抑制肺癌细胞的铁死亡。
Sci Rep. 2022 Nov 10;12(1):19168. doi: 10.1038/s41598-022-23699-4.
9
Machine Learning Screens Potential Drugs Targeting a Prognostic Gene Signature Associated With Proliferation in Hepatocellular Carcinoma.机器学习筛选靶向与肝细胞癌增殖相关的预后基因特征的潜在药物。
Front Genet. 2022 Jun 28;13:900380. doi: 10.3389/fgene.2022.900380. eCollection 2022.
多区域单细胞测序解析肺腺癌的空间和细胞结构。
Cancer Discov. 2021 Oct;11(10):2506-2523. doi: 10.1158/2159-8290.CD-20-1285. Epub 2021 May 10.
4
KIF11 Serves as an Independent Prognostic Factor and Therapeutic Target for Patients With Lung Adenocarcinoma.KIF11作为肺腺癌患者的独立预后因素和治疗靶点。
Front Oncol. 2021 Apr 23;11:670218. doi: 10.3389/fonc.2021.670218. eCollection 2021.
5
Weighted gene co-expression network analysis of hub genes in lung adenocarcinoma.肺腺癌中枢纽基因的加权基因共表达网络分析
Evol Bioinform Online. 2021 Apr 12;17:11769343211009898. doi: 10.1177/11769343211009898. eCollection 2021.
6
Identification of Hub Genes and Construction of a Transcriptional Regulatory Network Associated With Tumor Recurrence in Colorectal Cancer by Weighted Gene Co-expression Network Analysis.通过加权基因共表达网络分析鉴定结直肠癌中与肿瘤复发相关的枢纽基因并构建转录调控网络
Front Genet. 2021 Apr 7;12:649752. doi: 10.3389/fgene.2021.649752. eCollection 2021.
7
A PRC2-independent function for EZH2 in regulating rRNA 2'-O methylation and IRES-dependent translation.EZH2 在调控 rRNA 2'-O 甲基化和 IRES 依赖翻译中的 PRC2 非依赖性功能。
Nat Cell Biol. 2021 Apr;23(4):341-354. doi: 10.1038/s41556-021-00653-6. Epub 2021 Apr 1.
8
Bioinformatics and integrated analyses of prognosis-associated key genes in lung adenocarcinoma.肺腺癌预后相关关键基因的生物信息学及综合分析
J Thorac Dis. 2021 Feb;13(2):1172-1186. doi: 10.21037/jtd-21-49.
9
Decoding the multicellular ecosystem of lung adenocarcinoma manifested as pulmonary subsolid nodules by single-cell RNA sequencing.通过单细胞RNA测序解析表现为肺亚实性结节的肺腺癌多细胞生态系统。
Sci Adv. 2021 Jan 27;7(5). doi: 10.1126/sciadv.abd9738. Print 2021 Jan.
10
Cancer Statistics, 2021.癌症统计数据，2021.
CA Cancer J Clin. 2021 Jan;71(1):7-33. doi: 10.3322/caac.21654. Epub 2021 Jan 12.