• 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

鉴定达布拉非尼耐药性黑色素瘤治疗中的关键 miRNAs。

Identification of Key miRNAs in the Treatment of Dabrafenib-Resistant Melanoma.

机构信息

Department of Nuclear Accident Medical Emergency, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.

Department of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.

出版信息

Biomed Res Int. 2021 Apr 5;2021:5524486. doi: 10.1155/2021/5524486. eCollection 2021.

DOI:10.1155/2021/5524486
PMID:33880366
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8046546/
Abstract

Dabrafenib resistance is a significant problem in melanoma, and its underlying molecular mechanism is still unclear. The purpose of this study is to research the molecular mechanism of drug resistance of dabrafenib and to explore the key genes and pathways that mediate drug resistance in melanoma. GSE117666 was downloaded from the Gene Expression Omnibus (GEO) database and 492 melanoma statistics were also downloaded from The Cancer Genome Atlas (TCGA) database. Besides, differentially expressed miRNAs (DEMs) were identified by taking advantage of the R software and GEO2R. The Database for Annotation, Visualization, and Integrated Discovery (DAVID) and FunRich was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis to identify potential pathways and functional annotations linked with melanoma chemoresistance. 9 DEMs and 872 mRNAs were selected after filtering. Then, target genes were uploaded to Metascape to construct protein-protein interaction (PPI) network. Also, 6 hub mRNAs were screened after performing the PPI network. Furthermore, a total of 4 out of 9 miRNAs had an obvious association with the survival rate ( < 0.05) and showed a good power of risk prediction model of over survival. The present research may provide a deeper understanding of regulatory genes of dabrafenib resistance in melanoma.

摘要

达布拉非尼耐药是黑色素瘤的一个重大问题，其潜在的分子机制尚不清楚。本研究旨在研究达布拉非尼耐药的分子机制，并探讨介导黑色素瘤耐药的关键基因和途径。从基因表达综合数据库（GEO）下载 GSE117666，从癌症基因组图谱（TCGA）数据库下载 492 例黑色素瘤统计数据。此外，利用 R 软件和 GEO2R 鉴定差异表达的 miRNAs（DEMs）。使用数据库注释、可视化和综合发现（DAVID）和 FunRich 进行基因本体论（GO）和京都基因与基因组百科全书（KEGG）通路富集分析，以鉴定与黑色素瘤化疗耐药相关的潜在通路和功能注释。过滤后选择了 9 个 DEM 和 872 个 mRNAs。然后，将靶基因上传到 Metascape 构建蛋白质-蛋白质相互作用（PPI）网络。之后，在进行 PPI 网络后筛选出 6 个 hub mRNAs。此外，9 个 miRNA 中有 4 个与生存率（<0.05）有明显关联，并且具有良好的过生存风险预测模型的能力。本研究可能为黑色素瘤中达布拉非尼耐药的调控基因提供更深入的了解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c913/8046546/b16e14d6df9c/BMRI2021-5524486.010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c913/8046546/02d75934a688/BMRI2021-5524486.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c913/8046546/0808f968ba2b/BMRI2021-5524486.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c913/8046546/60fee4763949/BMRI2021-5524486.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c913/8046546/0ada6513f8ba/BMRI2021-5524486.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c913/8046546/5cb98fa0f2ee/BMRI2021-5524486.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c913/8046546/5d6200171783/BMRI2021-5524486.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c913/8046546/2515dcb06790/BMRI2021-5524486.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c913/8046546/a0c20132d4f7/BMRI2021-5524486.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c913/8046546/1aacddcca630/BMRI2021-5524486.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c913/8046546/b16e14d6df9c/BMRI2021-5524486.010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c913/8046546/02d75934a688/BMRI2021-5524486.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c913/8046546/0808f968ba2b/BMRI2021-5524486.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c913/8046546/60fee4763949/BMRI2021-5524486.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c913/8046546/0ada6513f8ba/BMRI2021-5524486.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c913/8046546/5cb98fa0f2ee/BMRI2021-5524486.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c913/8046546/5d6200171783/BMRI2021-5524486.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c913/8046546/2515dcb06790/BMRI2021-5524486.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c913/8046546/a0c20132d4f7/BMRI2021-5524486.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c913/8046546/1aacddcca630/BMRI2021-5524486.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c913/8046546/b16e14d6df9c/BMRI2021-5524486.010.jpg

相似文献

1
Identification of Key miRNAs in the Treatment of Dabrafenib-Resistant Melanoma.鉴定达布拉非尼耐药性黑色素瘤治疗中的关键 miRNAs。
Biomed Res Int. 2021 Apr 5;2021:5524486. doi: 10.1155/2021/5524486. eCollection 2021.
2
Identification of Key Genes and miRNAs in Osteosarcoma Patients with Chemoresistance by Bioinformatics Analysis.基于生物信息学分析鉴定化疗耐药性骨肉瘤患者的关键基因和 miRNAs。
Biomed Res Int. 2018 Apr 22;2018:4761064. doi: 10.1155/2018/4761064. eCollection 2018.
3
Identification of potential miRNA-mRNA regulatory network contributing to pathogenesis of HBV-related HCC.鉴定参与 HBV 相关 HCC 发病机制的潜在 miRNA-mRNA 调控网络。
J Transl Med. 2019 Jan 3;17(1):7. doi: 10.1186/s12967-018-1761-7.
4
Identification of lymph node metastasis-related microRNAs in breast cancer using bioinformatics analysis.利用生物信息学分析鉴定乳腺癌中与淋巴结转移相关的微小RNA
Medicine (Baltimore). 2020 Sep 25;99(39):e22105. doi: 10.1097/MD.0000000000022105.
5
Bioinformatics Analysis Identifies MicroRNAs and Target Genes Associated with Prognosis in Patients with Melanoma.生物信息学分析鉴定出与黑色素瘤患者预后相关的 microRNAs 和靶基因。
Med Sci Monit. 2019 Oct 17;25:7784-7794. doi: 10.12659/MSM.917082.
6
Identification of invasion-metastasis-associated microRNAs in hepatocellular carcinoma based on bioinformatic analysis and experimental validation.基于生物信息学分析和实验验证鉴定肝癌中与侵袭转移相关的 microRNAs。
J Transl Med. 2018 Sep 29;16(1):266. doi: 10.1186/s12967-018-1639-8.
7
Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis.基于生物信息学分析的肝细胞癌关键基因和微小RNA的鉴定与相互作用分析
World J Surg Oncol. 2017 Mar 16;15(1):63. doi: 10.1186/s12957-017-1127-2.
8
Bioinformatics analysis of mRNA and miRNA microarray to identify the key miRNA-mRNA pairs in cisplatin-resistant ovarian cancer.基于 mRNA 和 miRNA 芯片的生物信息学分析鉴定顺铂耐药卵巢癌细胞中关键的 miRNA-mRNA 对。
BMC Cancer. 2021 Apr 23;21(1):452. doi: 10.1186/s12885-021-08166-z.
9
Identification of Differentially Expressed Genes and miRNAs Associated with Esophageal Squamous Cell Carcinoma by Integrated Analysis of Microarray Data.基于基因芯片数据的综合分析鉴定食管鳞癌差异表达基因和 miRNA。
Biomed Res Int. 2020 Jul 1;2020:1980921. doi: 10.1155/2020/1980921. eCollection 2020.
10
Characterization of a non-coding RNA-associated ceRNA network in metastatic lung adenocarcinoma.转移性肺腺癌中 ncRNA 相关 ceRNA 网络的表征。
J Cell Mol Med. 2020 Oct;24(20):11680-11690. doi: 10.1111/jcmm.15778. Epub 2020 Aug 29.

引用本文的文献

1
DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancer.DM-MOGA：一种用于识别非小细胞肺癌疾病模块的多目标优化遗传算法。
BMC Bioinformatics. 2023 Jan 9;24(1):13. doi: 10.1186/s12859-023-05136-z.
2
The role of EphA7 in different tumors.EphA7 在不同肿瘤中的作用。
Clin Transl Oncol. 2022 Jul;24(7):1274-1289. doi: 10.1007/s12094-022-02783-1. Epub 2022 Feb 2.

本文引用的文献

1
Serum miR-133 as a novel biomarker for predicting treatment response and survival in acute myeloid leukemia.血清 miR-133 作为一种新型生物标志物，可预测急性髓系白血病的治疗反应和生存。
Eur Rev Med Pharmacol Sci. 2020 Jan;24(2):777-783. doi: 10.26355/eurrev_202001_20060.
2
Immune checkpoint inhibitors in melanoma in the metastatic, neoadjuvant, and adjuvant setting.免疫检查点抑制剂在转移性、新辅助和辅助治疗中的黑色素瘤。
Curr Opin Oncol. 2020 Mar;32(2):106-113. doi: 10.1097/CCO.0000000000000610.
3
Identification of a five-miRNA signature predicting survival in cutaneous melanoma cancer patients.
一种预测皮肤黑色素瘤患者生存情况的五 miRNA 特征的鉴定。
PeerJ. 2019 Oct 22;7:e7831. doi: 10.7717/peerj.7831. eCollection 2019.
4
Simultaneous targeted therapy for metastatic melanoma and hepatitis C.转移性黑色素瘤和丙型肝炎的同步靶向治疗。
J Dtsch Dermatol Ges. 2020 Jan;18(1):42-43. doi: 10.1111/ddg.13952. Epub 2019 Sep 20.
5
[Parkinson's Disease: amantadine, zonisamide, dabrafenib].[帕金森病：金刚烷胺、唑尼沙胺、达拉非尼]
Brain Nerve. 2019 Sep;71(9):953-959. doi: 10.11477/mf.1416201387.
6
miR-126-3p down-regulation contributes to dabrafenib acquired resistance in melanoma by up-regulating ADAM9 and VEGF-A.miR-126-3p 的下调通过上调 ADAM9 和 VEGF-A 促进黑色素瘤对 dabrafenib 的获得性耐药。
J Exp Clin Cancer Res. 2019 Jun 21;38(1):272. doi: 10.1186/s13046-019-1238-4.
7
microRNA-510-5p promotes thyroid cancer cell proliferation, migration, and invasion through suppressing SNHG15.微小RNA-510-5p通过抑制SNHG15促进甲状腺癌细胞的增殖、迁移和侵袭。
J Cell Biochem. 2019 Jul;120(7):11738-11744. doi: 10.1002/jcb.28454. Epub 2019 Feb 20.
8
Identification of Potential Key Genes and Pathways in Early-Onset Colorectal Cancer Through Bioinformatics Analysis.通过生物信息学分析鉴定早发性结直肠癌中的潜在关键基因和通路
Cancer Control. 2019 Jan-Dec;26(1):1073274819831260. doi: 10.1177/1073274819831260.
9
Cancer statistics, 2019.癌症统计数据，2019 年。
CA Cancer J Clin. 2019 Jan;69(1):7-34. doi: 10.3322/caac.21551. Epub 2019 Jan 8.
10
Hsp70 (HSP70A1A) downregulation enhances the metastatic ability of cancer cells.Hsp70（HSP70A1A）下调增强癌细胞的转移能力。
Int J Oncol. 2019 Mar;54(3):821-832. doi: 10.3892/ijo.2018.4666. Epub 2018 Dec 12.