Hub genes and associated drugs for multiple myeloma with 1q21+: identified by bioinformatic analysis.

IF 2 4区 医学 Q3 HEMATOLOGY
Hematology Pub Date : 2024-12-01 Epub Date: 2024-03-03 DOI:10.1080/16078454.2024.2323890
Zhiqiang Xu, Jieni Yu, Yamei Chen
{"title":"Hub genes and associated drugs for multiple myeloma with 1q21+: identified by bioinformatic analysis.","authors":"Zhiqiang Xu, Jieni Yu, Yamei Chen","doi":"10.1080/16078454.2024.2323890","DOIUrl":null,"url":null,"abstract":"<p><p>While 1q21+ was common genetic alteration and found to have adverse effect on prognosis, the underlying genes remain unclear. Identification of related genes may provide additional help for rational intervention. The microarray dataset GSE2658 associated with MM was downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were obtained, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to annotate their functions. The hub genes were derived from the combined results of up-regulated DEGs and weighted gene coexpression network analysis (WGCNA). The receiver operating characteristic (ROC) curves of hub genes were plotted to evaluate correlation with 1q21+. Survival analysis and drug-gene interaction of hub genes were performed separately to find the prognostic value and potential targeted drugs. A total of 55 DEGs were identified. GO and KEGG pathway analyses suggested that the DEGs were related to several pathways of cell proliferation. <i>NVL, IL6R, DUSP23</i> were proven to be highly correlated with 1q21+ and have adverse effects on prognosis. <i>IL6R, DUSP23</i> were matched to known interaction-drug. This study revealed potential roles of hub genes in the pathogenesis and progression of MM with 1q21+, further investigations are needed to elucidate the mechanisms.</p>","PeriodicalId":13161,"journal":{"name":"Hematology","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hematology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/16078454.2024.2323890","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/3/3 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"HEMATOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

While 1q21+ was common genetic alteration and found to have adverse effect on prognosis, the underlying genes remain unclear. Identification of related genes may provide additional help for rational intervention. The microarray dataset GSE2658 associated with MM was downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were obtained, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to annotate their functions. The hub genes were derived from the combined results of up-regulated DEGs and weighted gene coexpression network analysis (WGCNA). The receiver operating characteristic (ROC) curves of hub genes were plotted to evaluate correlation with 1q21+. Survival analysis and drug-gene interaction of hub genes were performed separately to find the prognostic value and potential targeted drugs. A total of 55 DEGs were identified. GO and KEGG pathway analyses suggested that the DEGs were related to several pathways of cell proliferation. NVL, IL6R, DUSP23 were proven to be highly correlated with 1q21+ and have adverse effects on prognosis. IL6R, DUSP23 were matched to known interaction-drug. This study revealed potential roles of hub genes in the pathogenesis and progression of MM with 1q21+, further investigations are needed to elucidate the mechanisms.

1q21+ 多发性骨髓瘤的枢纽基因和相关药物:通过生物信息学分析确定。
虽然 1q21+ 是常见的基因改变,并被发现对预后有不利影响,但其潜在基因仍不清楚。相关基因的鉴定可为合理干预提供更多帮助。我们从基因表达总库(GEO)数据库下载了与 MM 相关的微阵列数据集 GSE2658。获得了差异表达基因(DEGs),并进行了基因本体(GO)和京都基因组百科全书(KEGG)通路分析,以注释其功能。中枢基因来自上调 DEGs 和加权基因共表达网络分析(WGCNA)的综合结果。绘制了中心基因的接收操作特征曲线(ROC),以评估与1q21+的相关性。对枢纽基因分别进行了生存分析和药物基因相互作用分析,以发现其预后价值和潜在的靶向药物。共鉴定出 55 个 DEGs。GO和KEGG通路分析表明,DEGs与细胞增殖的多个通路相关。NVL、IL6R、DUSP23被证实与1q21+高度相关,并对预后有不利影响。IL6R、DUSP23与已知的相互作用-药物相匹配。这项研究揭示了枢纽基因在1q21+ MM发病和进展中的潜在作用,但还需要进一步研究以阐明其机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Hematology
Hematology 医学-血液学
CiteScore
2.60
自引率
5.30%
发文量
140
审稿时长
3 months
期刊介绍: Hematology is an international journal publishing original and review articles in the field of general hematology, including oncology, pathology, biology, clinical research and epidemiology. Of the fixed sections, annotations are accepted on any general or scientific field: technical annotations covering current laboratory practice in general hematology, blood transfusion and clinical trials, and current clinical practice reviews the consensus driven areas of care and management.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信