• 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

相似文献

1
Screening of four signature genes for clinical testing through bioinformatics and in vitro methods in head and neck squamous cell carcinoma.通过生物信息学和体外方法对头颈部鳞状细胞癌中的四个特征基因进行临床检测筛选
Am J Cancer Res. 2023 May 15;13(5):1826-1844. eCollection 2023.
2
Transcriptomics data mining to uncover signature genes in head and neck squamous cell carcinoma: a bioinformatics analysis and RNA-sequencing based validation.转录组学数据挖掘以揭示头颈部鳞状细胞癌中的特征基因:一项生物信息学分析及基于RNA测序的验证
Am J Cancer Res. 2023 Nov 15;13(11):5513-5530. eCollection 2023.
3
Identification of hub genes associated with head and neck squamous cell carcinoma by integrated bioinformatics approach and RNA-seq validation analysis.通过综合生物信息学方法和RNA测序验证分析鉴定与头颈部鳞状细胞癌相关的枢纽基因
Am J Cancer Res. 2023 Apr 15;13(4):1259-1277. eCollection 2023.
4
Identification of genetic mechanisms underlying lipid metabolism-mediated tumor immunity in head and neck squamous cell carcinoma.鉴定头颈部鳞状细胞癌中脂质代谢介导的肿瘤免疫的遗传机制。
BMC Med Genomics. 2023 May 20;16(1):110. doi: 10.1186/s12920-023-01543-6.
5
Characterization of ferroptosis driver gene signature in head and neck squamous cell carcinoma (HNSC).头颈部鳞状细胞癌(HNSC)中铁死亡驱动基因特征的表征
Am J Transl Res. 2023 Jul 15;15(7):4829-4850. eCollection 2023.
6
FOXD1 expression in head and neck squamous carcinoma: a study based on TCGA, GEO and meta-analysis.FOXD1 在头颈部鳞癌中的表达:基于 TCGA、GEO 和荟萃分析的研究。
Biosci Rep. 2021 Jul 30;41(7). doi: 10.1042/BSR20210158.
7
Comprehensive analysis reveals novel gene signature in head and neck squamous cell carcinoma: predicting is associated with poor prognosis in patients.综合分析揭示了头颈部鳞状细胞癌中的新型基因特征:预测与患者预后不良相关。
Transl Cancer Res. 2020 Oct;9(10):5882-5892. doi: 10.21037/tcr-20-805.
8
Integrative bioinformatics and RNA sequencing based methodology results in the exploration of breast invasive carcinoma biomarkers.基于整合生物信息学和RNA测序的方法有助于探索乳腺浸润性癌生物标志物。
Am J Transl Res. 2023 May 15;15(5):3067-3091. eCollection 2023.
9
Identification of key genes and biological pathways in Chinese lung cancer population using bioinformatics analysis.利用生物信息学分析鉴定中国肺癌人群中的关键基因和生物通路。
PeerJ. 2022 Jan 31;10:e12731. doi: 10.7717/peerj.12731. eCollection 2022.
10
The genes regulating sensitivity of tumor cells to T cell-mediated killing: could they be potential personalized immunotherapeutic targets in head and neck squamous cell carcinoma?调节肿瘤细胞对T细胞介导杀伤敏感性的基因:它们能否成为头颈部鳞状细胞癌潜在的个性化免疫治疗靶点?
Discov Oncol. 2023 Nov 5;14(1):199. doi: 10.1007/s12672-023-00806-z.

引用本文的文献

1
Uncovering the role of aquaporin and chromobox family members as potential biomarkers in head and neck squamous cell carcinoma via integrative multiomics and in silico approach.通过整合多组学和计算机模拟方法揭示水通道蛋白和染色体盒家族成员作为头颈部鳞状细胞癌潜在生物标志物的作用。
J Appl Genet. 2024 Dec;65(4):839-851. doi: 10.1007/s13353-024-00843-6. Epub 2024 Feb 15.

本文引用的文献

1
bestDEG: a web-based application automatically combines various tools to precisely predict differentially expressed genes (DEGs) from RNA-Seq data.bestDEG:一个基于网络的应用程序,可以自动结合各种工具,从 RNA-Seq 数据中准确预测差异表达基因(DEGs)。
PeerJ. 2022 Nov 10;10:e14344. doi: 10.7717/peerj.14344. eCollection 2022.
2
AURKA and PLK1 inhibition selectively and synergistically block cell cycle progression in diffuse midline glioma.极光激酶A(AURKA)和polo样激酶1(PLK1)抑制可选择性且协同地阻断弥漫性中线胶质瘤的细胞周期进程。
iScience. 2022 May 13;25(6):104398. doi: 10.1016/j.isci.2022.104398. eCollection 2022 Jun 17.
3
LINC00152 knockdown suppresses tumorigenesis in non-small cell lung cancer via sponging miR-16-5p.LINC00152基因敲低通过吸附miR-16-5p抑制非小细胞肺癌的肿瘤发生。
J Thorac Dis. 2022 Mar;14(3):614-624. doi: 10.21037/jtd-22-59.
4
DAVID: a web server for functional enrichment analysis and functional annotation of gene lists (2021 update).DAVID:一个用于基因列表功能富集分析和功能注释的网络服务器(2021 更新)。
Nucleic Acids Res. 2022 Jul 5;50(W1):W216-W221. doi: 10.1093/nar/gkac194.
5
The cell cycle-related genes RHAMM, AURKA, TPX2, PLK1, and PLK4 are associated with the poor prognosis of breast cancer patients.细胞周期相关基因 RHAMM、AURKA、TPX2、PLK1 和 PLK4 与乳腺癌患者的不良预后相关。
J Cell Biochem. 2022 Mar;123(3):581-600. doi: 10.1002/jcb.30205. Epub 2022 Jan 10.
6
Predicting signaling pathways regulating demyelination in a rat model of lithium-pilocarpine-induced acute epilepsy: A proteomics study.锂-匹罗卡品诱导的急性癫痫大鼠模型中调控脱髓鞘的信号通路预测:蛋白质组学研究。
Int J Biol Macromol. 2021 Dec 15;193(Pt B):1457-1470. doi: 10.1016/j.ijbiomac.2021.10.209. Epub 2021 Nov 3.
7
Aberrant Expression and Subcellular Localization of ECT2 Drives Colorectal Cancer Progression and Growth.ECT2 的异常表达和亚细胞定位驱动结直肠癌的进展和生长。
Cancer Res. 2022 Jan 1;82(1):90-104. doi: 10.1158/0008-5472.CAN-20-4218. Epub 2021 Nov 4.
8
OncoDB: an interactive online database for analysis of gene expression and viral infection in cancer.OncoDB:一个交互式在线数据库,用于分析癌症中的基因表达和病毒感染。
Nucleic Acids Res. 2022 Jan 7;50(D1):D1334-D1339. doi: 10.1093/nar/gkab970.
9
KNTC1 knockdown suppresses cell proliferation of colon cancer.敲低KNTC1可抑制结肠癌的细胞增殖。
3 Biotech. 2021 Jun;11(6):262. doi: 10.1007/s13205-021-02800-0. Epub 2021 May 11.
10
Identification of key pathways and genes in polycystic ovary syndrome via integrated bioinformatics analysis and prediction of small therapeutic molecules.通过整合生物信息学分析和小分子治疗药物预测鉴定多囊卵巢综合征的关键途径和基因。
Reprod Biol Endocrinol. 2021 Feb 23;19(1):31. doi: 10.1186/s12958-021-00706-3.

通过生物信息学和体外方法对头颈部鳞状细胞癌中的四个特征基因进行临床检测筛选

Screening of four signature genes for clinical testing through bioinformatics and in vitro methods in head and neck squamous cell carcinoma.

作者信息

Javed Muhammad, Bukhari Rimsha Sadia, Rasool Rubab, Alhomrani Majid, Alghamdi Saleh A, Habeeballah Hamza, Ramzan Faiqah, Baothman Bandar K, Kashif Muhammad, Almaghrabi Sarah, Izmirly Abdullah M, Khalid Syed Yousaf

机构信息

Primary and Secondary Health Care Department Lahore, Pakistan.

Fatima Jinnah Medical University Lahore, Pakistan.

出版信息

Am J Cancer Res. 2023 May 15;13(5):1826-1844. eCollection 2023.

PMID:37293145
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10244115/
Abstract

Head and neck squamous cell carcinoma (HNSC) is the 6 most common cancer around the globe; its underlying molecular mechanisms and accurate molecular markers are still lacking. In this study, we explored hub genes and their potential signaling pathways through which these genes participate in the development of HNSC. The GSE23036 gene microarray dataset was attained from the GEO (Gene Expression Omnibus) database. Hub genes were identified via the Cytohubba plug-in application of the Cytoscape. The Cancer Genome Atlas (TCGA) datasets and cell lines (HOK and FuDu) were used to evaluate expression variations in the hub genes. Moreover, promoter methylation, genetic alteration, gene enrichment, miRNA network, and immunocyte infiltration analysis were also performed to confirm the oncogenic role and biomarker potential of the hub genes in HNSC patients. Based on the hub gene analysis results, four hub genes, including KNTC1 (Kinetochore Associated 1), CEP55 (Centrosomal protein of 55 kDa), AURKA (Aurora A Kinase), and ECT2 (Epithelial Cell Transforming 2), with the highest degree scores were denoted as hub genes. All these four genes were significantly up-regulated in HNSC clinical samples and cell lines relative to their counterparts. Overexpression of KNTC1, CEP55, AURKA, and ECT2 was also associated with poor survival and various clinical parameters of the HNSC patients. Methylation analysis through targeted bisulfite sequencing of HOK and FuDu cell lines revealed that the overexpression of KNTC1, CEP55, AURKA, and ECT2 hub genes was due to their promoter hypomethylation. Moreover, higher expressions of KNTC1, CEP55, AURKA, and ECT2 were positively correlated with the abundance of the CD4+ T cells and macrophage while with the reduction of CD8+ T cells in HNSC samples. Finally, gene enrichment analysis showed that all hub genes are involved in "nucleoplasm, centrosome, mitotic spindle, and cytosol" pathways. In conclusion, the KNTC1, CEP55, AURKA, and ECT2 genes could be potential biomarkers for HNSC patients and provide a novel insight into the diagnosis and treatment of the disease.

摘要

头颈部鳞状细胞癌(HNSC)是全球第六大常见癌症;其潜在的分子机制和准确的分子标志物仍然缺乏。在本研究中,我们探索了枢纽基因及其潜在的信号通路,这些基因通过这些通路参与HNSC的发展。GSE23036基因微阵列数据集来自GEO(基因表达综合数据库)数据库。通过Cytoscape的Cytohubba插件应用程序鉴定枢纽基因。癌症基因组图谱(TCGA)数据集和细胞系(HOK和FuDu)用于评估枢纽基因的表达变化。此外,还进行了启动子甲基化、基因改变、基因富集分析、miRNA网络分析和免疫细胞浸润分析,以确认枢纽基因在HNSC患者中的致癌作用和生物标志物潜力。基于枢纽基因分析结果,将度值最高的四个枢纽基因,包括KNTC1(动粒相关蛋白1)、CEP55(55 kDa中心体蛋白)、AURKA(极光激酶A)和ECT2(上皮细胞转化蛋白2),确定为枢纽基因。相对于对照,这四个基因在HNSC临床样本和细胞系中均显著上调。KNTC1、CEP55、AURKA和ECT2的过表达也与HNSC患者的不良生存和各种临床参数相关。通过对HOK和FuDu细胞系进行靶向亚硫酸氢盐测序的甲基化分析表明,KNTC1、CEP55、AURKA和ECT2枢纽基因的过表达是由于其启动子低甲基化。此外,在HNSC样本中,KNTC1、CEP55、AURKA和ECT2的高表达与CD4 + T细胞和巨噬细胞的丰度呈正相关,而与CD8 + T细胞的减少呈正相关。最后,基因富集分析表明,所有枢纽基因都参与“核质、中心体、有丝分裂纺锤体和细胞质”通路。总之,KNTC1、CEP55、AURKA和ECT2基因可能是HNSC患者的潜在生物标志物,并为该疾病的诊断和治疗提供了新的见解。