• 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

骨肉瘤研究中非编码RNA的智能结构预测与可视化分析

Intelligent structure prediction and visualization analysis of non-coding RNA in osteosarcoma research.

作者信息

Chen Longhao, He Liuji, Liu Baijie, Zhou Yinghua, Lv Lijiang, Wang Zhiguang

机构信息

The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.

The Third Clinical Medical College, Zhejiang University of Chinese Medicine, Hangzhou, Zhejiang, China.

出版信息

Front Oncol. 2024 Mar 12;14:1255061. doi: 10.3389/fonc.2024.1255061. eCollection 2024.

DOI:10.3389/fonc.2024.1255061
PMID:38532928
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10964489/
Abstract

BACKGROUND

Osteosarcoma (OS) is the most common bone malignant tumor in children and adolescents. Recent research indicates that non-coding RNAs (ncRNAs) have been associated with OS occurrence and development, with significant progress made in this field. However, there is no intelligent structure prediction and literature visualization analysis in this research field. From the perspective of intelligent knowledge structure construction and bibliometrics, this study will comprehensively review the role of countries, institutions, journals, authors, literature citation relationships and subject keywords in the field of ncRNAs in OS. Based on this analysis, we will systematically analyze the characteristics of the knowledge structure of ncRNAs in OS disease research and identify the current research hotspots and trends.

METHODS

The Web of Science Core Collection (WoSCC) database was searched for articles on ncRNAs in OS between 2001 and 2023. This bibliometric analysis was performed using VOSviewers, CiteSpace, and Pajek.

RESULTS

This study involved 15,631 authors from 2,631 institutions across 57 countries/regions, with a total of 3,642 papers published in 553 academic journals. China has the highest number of published papers in this research field. The main research institutions include (n = 129, 3.54%), (n = 128, 3.51%), (n = 110, 3.02%), and (n = 109, 2.99%). (n =139, 3.82%), (120, 3.31%), and (n = 95, 2.61%) are the most popular journals in this field, with being the most co-cited journal (Co-Citation = 4,268). , and published the most papers, with being the most co-cited author. and are the main focuses of ncRNAs in OS studies. Key themes include and . Since 2020, hotspots and trends in ncRNA research in OS include and

CONCLUSION

This study represents the first comprehensive bibliometric analysis of the knowledge structure and development of ncRNAs in OS. These findings highlight current research hotspots and frontier directions, offering valuable insights for future studies on the role of ncRNAs in OS.

摘要

背景

骨肉瘤(OS)是儿童和青少年中最常见的骨恶性肿瘤。最近的研究表明,非编码RNA(ncRNAs)与骨肉瘤的发生和发展有关,该领域已取得显著进展。然而,该研究领域尚无智能结构预测和文献可视化分析。从智能知识结构构建和文献计量学的角度来看,本研究将全面回顾国家、机构、期刊、作者、文献引用关系和主题关键词在骨肉瘤领域非编码RNA研究中的作用。基于此分析,我们将系统分析骨肉瘤疾病研究中非编码RNA知识结构的特征,并确定当前的研究热点和趋势。

方法

在科学网核心合集(WoSCC)数据库中检索2001年至2023年间关于骨肉瘤中非编码RNA的文章。使用VOSviewer、CiteSpace和Pajek进行文献计量分析。

结果

本研究涉及来自57个国家/地区2631个机构的15631名作者,共在553种学术期刊上发表了3642篇论文。中国在该研究领域发表的论文数量最多。主要研究机构包括(n = 129,3.54%)、(n = 128,3.51%)、(n = 110,3.02%)和(n = 109,2.99%)。(n =139,3.82%)、(120,3.31%)和(n = 95,2.61%)是该领域最受欢迎的期刊,其中被引频次最高(共被引次数 = 共被引次数 = 4268)。发表的论文最多,是被引频次最高的作者。和是骨肉瘤研究中非编码RNA的主要重点。关键主题包括和。自2020年以来,骨肉瘤中非编码RNA研究的热点和趋势包括和

结论

本研究是对骨肉瘤中非编码RNA知识结构和发展的首次全面文献计量分析。这些发现突出了当前的研究热点和前沿方向,为未来关于非编码RNA在骨肉瘤中作用的研究提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/69368ce16f9e/fonc-14-1255061-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/83ed866cd641/fonc-14-1255061-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/e8c850150f73/fonc-14-1255061-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/72a4492e4456/fonc-14-1255061-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/10d04b822869/fonc-14-1255061-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/cbb676908ad8/fonc-14-1255061-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/19c554e65543/fonc-14-1255061-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/6cd5c533060e/fonc-14-1255061-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/b8f7efdf73bc/fonc-14-1255061-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/db6521ceb4e5/fonc-14-1255061-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/69368ce16f9e/fonc-14-1255061-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/83ed866cd641/fonc-14-1255061-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/e8c850150f73/fonc-14-1255061-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/72a4492e4456/fonc-14-1255061-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/10d04b822869/fonc-14-1255061-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/cbb676908ad8/fonc-14-1255061-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/19c554e65543/fonc-14-1255061-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/6cd5c533060e/fonc-14-1255061-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/b8f7efdf73bc/fonc-14-1255061-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/db6521ceb4e5/fonc-14-1255061-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/69368ce16f9e/fonc-14-1255061-g010.jpg

相似文献

1
Intelligent structure prediction and visualization analysis of non-coding RNA in osteosarcoma research.骨肉瘤研究中非编码RNA的智能结构预测与可视化分析
Front Oncol. 2024 Mar 12;14:1255061. doi: 10.3389/fonc.2024.1255061. eCollection 2024.
2
Knowledge atlas and emerging trends on ncRNAs of osteosarcoma: A bibliometric analysis.骨肉瘤非编码 RNA 相关知识图谱和新兴趋势:文献计量分析。
Front Endocrinol (Lausanne). 2022 Nov 10;13:1028031. doi: 10.3389/fendo.2022.1028031. eCollection 2022.
3
Unveiling research trends in the prognosis of osteosarcoma: A bibliometric analysis from 2000 to 2022.揭示骨肉瘤预后的研究趋势:2000年至2022年的文献计量分析
Heliyon. 2024 Mar 7;10(6):e27566. doi: 10.1016/j.heliyon.2024.e27566. eCollection 2024 Mar 30.
4
Research Trends in the Application of Artificial Intelligence in Oncology: A Bibliometric and Network Visualization Study.人工智能在肿瘤学应用中的研究趋势:文献计量学和网络可视化研究。
Front Biosci (Landmark Ed). 2022 Aug 31;27(9):254. doi: 10.31083/j.fbl2709254.
5
Bibliometric analysis of research on Alzheimer's disease and non-coding RNAs: Opportunities and challenges.阿尔茨海默病与非编码RNA研究的文献计量分析:机遇与挑战
Front Aging Neurosci. 2022 Oct 18;14:1037068. doi: 10.3389/fnagi.2022.1037068. eCollection 2022.
6
Bibliometric Analysis of ncRNA Studies in Diabetes Mellitus With Coronary Heart Disease: A Visualization Approach.糖尿病合并冠心病中ncRNA研究的文献计量分析:一种可视化方法
Clin Med Insights Endocrinol Diabetes. 2024 Sep 27;17:11795514241276389. doi: 10.1177/11795514241276389. eCollection 2024.
7
Global trends and hotspots of treatment for nonalcoholic fatty liver disease: A bibliometric and visualization analysis (2010-2023).全球非酒精性脂肪性肝病治疗的趋势和热点:文献计量学和可视化分析(2010-2023)。
World J Gastroenterol. 2023 Oct 7;29(37):5339-5360. doi: 10.3748/wjg.v29.i37.5339.
8
Advancements and trends in exosome research in lung cancer from a bibliometric analysis (2004-2023).基于文献计量分析的肺癌外泌体研究进展与趋势(2004 - 2023年)
Front Oncol. 2024 Apr 16;14:1358101. doi: 10.3389/fonc.2024.1358101. eCollection 2024.
9
Comprehensive landscape and future perspectives of non-coding RNAs in esophageal squamous cell carcinoma, a bibliometric analysis from 2008 to 2023.非编码 RNA 于食管鳞癌的全面研究现状与展望:基于 2008 年至 2023 年文献计量学分析。
Pathol Oncol Res. 2024 Feb 21;30:1611595. doi: 10.3389/pore.2024.1611595. eCollection 2024.
10
Knowledge mapping of programmed cell death in osteonecrosis of femoral head: a bibliometric analysis (2000-2022).基于文献计量学的股骨头坏死细胞程序性死亡研究知识图谱分析(2000-2022)
J Orthop Surg Res. 2023 Nov 14;18(1):864. doi: 10.1186/s13018-023-04314-2.

引用本文的文献

1
Exploring osteosarcoma based on the tumor microenvironment.基于肿瘤微环境探索骨肉瘤。
Front Immunol. 2024 Nov 25;15:1423194. doi: 10.3389/fimmu.2024.1423194. eCollection 2024.
2
Bibliometric analysis and visualisation of research hotspots and frontiers on omics in osteosarcoma.基于组学的骨肉瘤研究热点和前沿的文献计量分析与可视化。
J Cancer Res Clin Oncol. 2024 Aug 22;150(8):393. doi: 10.1007/s00432-024-05898-w.

本文引用的文献

1
Metabolism and senescence in the immune microenvironment of osteosarcoma: focus on new therapeutic strategies.骨肉瘤免疫微环境中的代谢与衰老:关注新的治疗策略。
Front Endocrinol (Lausanne). 2023 Jul 11;14:1217669. doi: 10.3389/fendo.2023.1217669. eCollection 2023.
2
The promising roles of exosomal microRNAs in osteosarcoma: A new insight into the clinical therapy.外泌体 microRNAs 在骨肉瘤中具有广阔的应用前景:临床治疗的新视角。
Biomed Pharmacother. 2023 Jul;163:114771. doi: 10.1016/j.biopha.2023.114771. Epub 2023 Apr 27.
3
Transfer of exosomal microRNAs confers doxorubicin resistance in osteosarcoma cells.
外泌体 microRNAs 的转移赋予骨肉瘤细胞多柔比星耐药性。
Mol Med Rep. 2023 Apr;27(4). doi: 10.3892/mmr.2023.12973. Epub 2023 Mar 3.
4
Identification of a miRNA-based non-invasive predictive biomarker of response to target therapy in BRAF-mutant melanoma.鉴定 BRAF 突变型黑色素瘤对靶向治疗反应的 miRNA 为非侵入性预测生物标志物。
Theranostics. 2022 Oct 24;12(17):7420-7430. doi: 10.7150/thno.77761. eCollection 2022.
5
Non-coding RNAs as potential biomarkers in osteosarcoma.非编码RNA作为骨肉瘤潜在的生物标志物
Front Genet. 2022 Oct 19;13:1028477. doi: 10.3389/fgene.2022.1028477. eCollection 2022.
6
LncRNA CASC9 promotes cell proliferation and invasion in osteosarcoma through targeting miR-874-3p/SOX12 axis.长链非编码 RNA CASC9 通过靶向 miR-874-3p/SOX12 轴促进骨肉瘤细胞的增殖和侵袭。
J Orthop Surg Res. 2022 Oct 20;17(1):460. doi: 10.1186/s13018-022-03340-w.
7
Immune Microenvironment in Osteosarcoma: Components, Therapeutic Strategies and Clinical Applications.骨肉瘤中的免疫微环境:组成部分、治疗策略及临床应用
Front Immunol. 2022 Jun 1;13:907550. doi: 10.3389/fimmu.2022.907550. eCollection 2022.
8
Mir-34a: a regulatory hub with versatile functions that controls osteosarcoma networks.miR-34a:一个具有多种功能的调控枢纽,可控制骨肉瘤网络。
Cell Cycle. 2022 Oct;21(20):2121-2131. doi: 10.1080/15384101.2022.2087755. Epub 2022 Jun 14.
9
Hsa_circ_0001982 promotes the proliferation, invasion, and multidrug resistance of osteosarcoma cells.Hsa_circ_0001982 促进骨肉瘤细胞的增殖、侵袭和多药耐药性。
J Clin Lab Anal. 2022 Jul;36(7). doi: 10.1002/jcla.24493. Epub 2022 May 16.
10
Identification of novel key regulatory lncRNAs in gastric adenocarcinoma.鉴定胃腺癌中的新型关键调控 lncRNAs。
BMC Genomics. 2022 May 7;23(1):352. doi: 10.1186/s12864-022-08578-6.