• 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

TrkB 在喉癌中的临床价值筛选、预后意义及关键基因鉴定。

Clinical Value Screening, Prognostic Significance, and Key Gene Identification of TrkB in Laryngeal Carcinoma.

机构信息

Department of Otolaryngology Head and Neck Surgery, Affiliated Hospital of Southwest Medical University, Luzhou 646000, China.

Department of Pathogen Biology, School of Basic Medicine Southwest Medical University, China.

出版信息

Dis Markers. 2022 Aug 19;2022:1354005. doi: 10.1155/2022/1354005. eCollection 2022.

DOI:10.1155/2022/1354005
PMID:36033826
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9417763/
Abstract

PURPOSE

Using human gene chip expression profiling technology to screen out downstream genes related to TrkB regulation in laryngeal cancer cells.

METHODS

Using the Hep-2 TrkB shRNA cell line, divide it into an experimental group (shNTRK2) and a control group (PLKO1), and use the human gene expression microarray to screen out the differential genes. Then, select 10 upregulated genes and 10 downregulated genes from the differential genes, and use RT-PCR to verify whether the screening results of human gene expression microarray profiles are reliable. Use GO, KEGG, and miRNA enrichment analyses, PPI network diagram, etc., to analyze the differential genes and further screen out the key genes.

RESULTS

A total of 318 differential genes (87 upregulated genes and 231 downregulated genes) were screened in laryngeal cancer cells. Use RT-PCR for the 10 upregulated differential genes (DMKN, FHL1, FOXN4, GGNBP1, HOXB9, ABCB1, TNFAI, RGS2, LINC01133, and FGG) and 10 downregulated differential genes (CHI3L1, FMOD, IGFBP1, IRF5, SPARC, NPAS4, TRPS1, TRAP, COL8A1, and DNER), and the results are consistent with the chip results, confirming the accuracy of the chip results; GO analysis results show that the downstream differential genes (DEGs) regulated by TrkB are mainly involved in biological processes such as retinol metabolic process, diterpenoid metabolic process, and regulation of cell-substrate adhesion. DEGs mainly affect cytoskeletal protein binding, serotonin-activated cation-selective channel activity, and sphingosine molecular functions. DEGs are mainly enriched in the cell periphery, secretory granule, cytoplasmic membrane-bounded vesicle lumen, blood microparticle, and other molecular components. The results of disease enrichment analysis show that the downstream differential genes regulated by TrkB are mainly involved in atypical hemolytic uremic syndrome, hematologic disease, meningococcal disease, lung cancer, susceptibility, asthma, and other diseases. The PPI network diagram results showed 7 hub genes, and then, we used GO analysis and KEGG enrichment analysis to see the biological process, cell component, molecular functions, and biological pathways.

CONCLUSION

Gene chip technology was used to screen out the differential genes of TrkB epigenetic modification in the Hep-2 cell line, and seven key genes (ALDH1A1, SDR16C5, PIK3R1, PLCG2, IL2RG, PIK3CD, and SPARC) were further screened using bioinformatics technology.

摘要

目的

利用人类基因芯片表达谱技术筛选出与喉癌细胞中 TrkB 调节相关的下游基因。

方法

使用 Hep-2 TrkB shRNA 细胞系,将其分为实验组(shNTRK2)和对照组(PLKO1),并使用人类基因表达微阵列筛选差异基因。然后,从差异基因中选择 10 个上调基因和 10 个下调基因,使用 RT-PCR 验证人类基因表达微阵列图谱筛选结果的可靠性。使用 GO、KEGG、miRNA 富集分析、PPI 网络图等方法分析差异基因,并进一步筛选关键基因。

结果

在喉癌细胞中筛选出 318 个差异基因(87 个上调基因和 231 个下调基因)。使用 RT-PCR 对 10 个上调差异基因(DMKN、FHL1、FOXN4、GGNBP1、HOXB9、ABCB1、TNFAI、RGS2、LINC01133 和 FGG)和 10 个下调差异基因(CHI3L1、FMOD、IGFBP1、IRF5、SPARC、NPAS4、TRPS1、TRAP、COL8A1 和 DNER)进行验证,结果与芯片结果一致,证实了芯片结果的准确性;GO 分析结果表明,TrkB 调节的下游差异基因(DEGs)主要参与视黄醇代谢过程、二萜代谢过程和细胞-基质粘附调节等生物学过程。DEGs 主要影响细胞骨架蛋白结合、血清素激活的阳离子选择性通道活性和神经鞘氨醇分子功能。DEGs 主要富集在细胞外周、分泌颗粒、细胞质膜结合囊泡腔、血液微粒体等分子成分中。疾病富集分析结果表明,TrkB 调节的下游差异基因主要涉及非典型溶血性尿毒症综合征、血液疾病、脑膜炎球菌病、肺癌、易感性、哮喘等疾病。PPI 网络图结果显示 7 个枢纽基因,然后我们使用 GO 分析和 KEGG 富集分析来观察生物过程、细胞成分、分子功能和生物途径。

结论

利用基因芯片技术筛选出 Hep-2 细胞系中 TrkB 表观遗传修饰的差异基因,然后利用生物信息学技术进一步筛选出 7 个关键基因(ALDH1A1、SDR16C5、PIK3R1、PLCG2、IL2RG、PIK3CD 和 SPARC)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354d/9417763/dfe185a5ed90/DM2022-1354005.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354d/9417763/651e8d0b2b9d/DM2022-1354005.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354d/9417763/487629af1d17/DM2022-1354005.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354d/9417763/57329a9ae5b4/DM2022-1354005.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354d/9417763/a2f664b27d9d/DM2022-1354005.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354d/9417763/2cb29b0f6ff4/DM2022-1354005.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354d/9417763/70e859058f13/DM2022-1354005.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354d/9417763/f69d18d67e96/DM2022-1354005.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354d/9417763/43017261106b/DM2022-1354005.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354d/9417763/dfe185a5ed90/DM2022-1354005.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354d/9417763/651e8d0b2b9d/DM2022-1354005.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354d/9417763/487629af1d17/DM2022-1354005.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354d/9417763/57329a9ae5b4/DM2022-1354005.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354d/9417763/a2f664b27d9d/DM2022-1354005.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354d/9417763/2cb29b0f6ff4/DM2022-1354005.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354d/9417763/70e859058f13/DM2022-1354005.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354d/9417763/f69d18d67e96/DM2022-1354005.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354d/9417763/43017261106b/DM2022-1354005.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354d/9417763/dfe185a5ed90/DM2022-1354005.009.jpg

相似文献

1
Clinical Value Screening, Prognostic Significance, and Key Gene Identification of TrkB in Laryngeal Carcinoma.TrkB 在喉癌中的临床价值筛选、预后意义及关键基因鉴定。
Dis Markers. 2022 Aug 19;2022:1354005. doi: 10.1155/2022/1354005. eCollection 2022.
2
[Screening core genes and cyclin B2 as a potential diagnosis, treatment and prognostic biomarker of hepatocellular carcinoma based on bioinformatics analysis].基于生物信息学分析筛选核心基因及细胞周期蛋白B2作为肝细胞癌潜在的诊断、治疗及预后生物标志物
Zhonghua Gan Zang Bing Za Zhi. 2020 Sep 20;28(9):773-783. doi: 10.3760/cma.j.cn501113-20200818-00461.
3
Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.卵巢癌中枢纽基因和治疗药物的筛选的综合生物信息学分析。
J Ovarian Res. 2020 Jan 27;13(1):10. doi: 10.1186/s13048-020-0613-2.
4
Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.脑胶质母细胞瘤中显著基因、相关通路和候选预后生物标志物的生物信息学分析。
Mol Med Rep. 2018 Nov;18(5):4185-4196. doi: 10.3892/mmr.2018.9411. Epub 2018 Aug 21.
5
The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.通过高通量数据的生物信息学分析鉴定肝细胞癌中的关键基因和信号通路。
Med Oncol. 2017 Jun;34(6):101. doi: 10.1007/s12032-017-0963-9. Epub 2017 Apr 21.
6
Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.通过生物信息学分析鉴定与 SCLC 相关的候选生物标志物和途径。
Mol Med Rep. 2018 Aug;18(2):1538-1550. doi: 10.3892/mmr.2018.9095. Epub 2018 May 29.
7
Screening and identification of potential biomarkers and therapeutic drugs in melanoma via integrated bioinformatics analysis.通过整合生物信息学分析筛选和鉴定黑色素瘤潜在的生物标志物和治疗药物。
Invest New Drugs. 2021 Aug;39(4):928-948. doi: 10.1007/s10637-021-01072-y. Epub 2021 Jan 26.
8
Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis.基于综合生物信息学分析鉴定间变性甲状腺癌的关键通路和基因。
Med Sci Monit. 2018 Sep 14;24:6438-6448. doi: 10.12659/MSM.910088.
9
Identification of key genes and pathways involved in abdominal aortic aneurysm initiation and progression.鉴定腹主动脉瘤发生和进展过程中的关键基因和通路。
Vascular. 2022 Aug;30(4):639-649. doi: 10.1177/17085381211026474. Epub 2021 Jun 17.
10
Identification of key microRNAs and genes associated with abdominal aortic aneurysm based on the gene expression profile.基于基因表达谱鉴定与腹主动脉瘤相关的关键 microRNAs 和基因。
Exp Physiol. 2020 Jan;105(1):160-173. doi: 10.1113/EP087705. Epub 2019 Dec 16.

引用本文的文献

1
Interferon regulatory factor 5: a potential target for therapeutic intervention in inflammatory diseases.干扰素调节因子5:炎症性疾病治疗干预的潜在靶点。
Front Immunol. 2025 Mar 27;16:1535823. doi: 10.3389/fimmu.2025.1535823. eCollection 2025.
2
Role of four and a half LIM domain protein 1 in tumors (Review).四半LIM结构域蛋白1在肿瘤中的作用(综述)
Oncol Lett. 2024 Oct 29;29(1):37. doi: 10.3892/ol.2024.14783. eCollection 2025 Jan.
3
Personalized Treatment Strategies via Integration of Gene Expression Biomarkers in Molecular Profiling of Laryngeal Cancer.

本文引用的文献

1
Head and neck squamous cell carcinoma.头颈部鳞状细胞癌
Nat Rev Dis Primers. 2020 Nov 26;6(1):92. doi: 10.1038/s41572-020-00224-3.
2
Squamous cell carcinoma of the oral cavity, larynx, oropharynx and hypopharynx: EHNS-ESMO-ESTRO Clinical Practice Guidelines for diagnosis, treatment and follow-up.口腔、喉、口咽和下咽鳞状细胞癌:EHNS-ESMO-ESTRO诊断、治疗及随访临床实践指南
Ann Oncol. 2020 Nov;31(11):1462-1475. doi: 10.1016/j.annonc.2020.07.011. Epub 2020 Oct 23.
3
Routine restaging after primary non-surgical treatment of laryngeal squamous cell carcinoma-a review.
通过整合基因表达生物标志物实现喉癌分子谱分析的个性化治疗策略
J Pers Med. 2024 Oct 10;14(10):1048. doi: 10.3390/jpm14101048.
4
Role of interferon regulatory factor 5 (IRF5) in tumor progression: Prognostic and therapeutic potential.干扰素调节因子 5(IRF5)在肿瘤进展中的作用:预后和治疗潜力。
Biochim Biophys Acta Rev Cancer. 2024 Jan;1879(1):189061. doi: 10.1016/j.bbcan.2023.189061. Epub 2023 Dec 21.
5
SDR16C5 promotes proliferation and migration and inhibits apoptosis in pancreatic cancer.SDR16C5促进胰腺癌的增殖和迁移并抑制其凋亡。
Open Life Sci. 2023 Jun 20;18(1):20220630. doi: 10.1515/biol-2022-0630. eCollection 2023.
喉鳞状细胞癌初始非手术治疗后常规再分期:综述。
Strahlenther Onkol. 2021 Mar;197(3):167-176. doi: 10.1007/s00066-020-01706-9. Epub 2020 Nov 20.
4
Astrocyte morphogenesis is dependent on BDNF signaling via astrocytic TrkB.T1.星形细胞形态发生依赖于星形细胞 TrkB.T1 上的 BDNF 信号传导。
Elife. 2019 Aug 21;8:e44667. doi: 10.7554/eLife.44667.
5
BDNF activates TrkB/PLCγ1 signaling pathway to promote proliferation and invasion of ovarian cancer cells through inhibition of apoptosis.脑源性神经营养因子通过抑制细胞凋亡激活TrkB/PLCγ1信号通路,促进卵巢癌细胞的增殖和侵袭。
Eur Rev Med Pharmacol Sci. 2019 Jun;23(12):5093-5100. doi: 10.26355/eurrev_201906_18173.
6
A subtype of oral, laryngeal, esophageal, and lung, squamous cell carcinoma with high levels of TrkB-T1 neurotrophin receptor mRNA.一种口腔、喉部、食管和肺部鳞状细胞癌的亚型,具有高水平的 TrkB-T1 神经营养因子受体 mRNA。
BMC Cancer. 2019 Jun 20;19(1):607. doi: 10.1186/s12885-019-5789-8.
7
Testing algorithm for identification of patients with TRK fusion cancer.用于鉴定 TRK 融合癌症患者的检测算法。
J Clin Pathol. 2019 Jul;72(7):460-467. doi: 10.1136/jclinpath-2018-205679. Epub 2019 May 9.
8
Oncological and functional outcomes of transoral laser surgery for laryngeal carcinoma.喉癌经口激光手术的肿瘤学及功能学预后
Eur Arch Otorhinolaryngol. 2018 Aug;275(8):2071-2077. doi: 10.1007/s00405-018-5027-z. Epub 2018 Jun 5.
9
Upregulation of the BDNF/TrKB pathway promotes epithelial-mesenchymal transition, as well as the migration and invasion of cervical cancer.BDNF/TrKB 通路的上调促进了宫颈癌的上皮-间质转化,以及迁移和侵袭。
Int J Oncol. 2018 Feb;52(2):461-472. doi: 10.3892/ijo.2017.4230. Epub 2017 Dec 19.
10
Association of Oral Microbiome With Risk for Incident Head and Neck Squamous Cell Cancer.口腔微生物组与头颈部鳞状细胞癌发病风险的关联。
JAMA Oncol. 2018 Mar 1;4(3):358-365. doi: 10.1001/jamaoncol.2017.4777.