• 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

解读癌症领域二十年的细胞重编程:对发展趋势和研究前沿的文献计量分析

Deciphering two decades of cellular reprogramming in cancer: A bibliometric analysis of evolving trends and research frontiers.

作者信息

Liang Jinghao, Lin Yijian, Liu Yuanqing, Lin Hongmiao, Xie Zixian, Wu Tongtong, Zhang Xinrong, Zhou Xinyi, Tan Zhaofeng, Yin Weiqiang, Guo Zhihua

机构信息

Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.

Second Clinical Medical College, Guangdong Medical University, Dongguan, 523000, China.

出版信息

Heliyon. 2024 May 16;10(11):e31400. doi: 10.1016/j.heliyon.2024.e31400. eCollection 2024 Jun 15.

DOI:10.1016/j.heliyon.2024.e31400
PMID:38832277
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11145233/
Abstract

Recent research has reevaluated the traditional view of cancer's linear progression and recurrence by introducing cellular reprogramming a process in which cancer cells can their state under certain conditions. This change is driven by a combination of genetic and epigenetic factors, with pivotal roles played by key genes, and pathways, notably Wnt and Notch. The complexity of cancer's behavior is further influenced by factors such as the epithelial-mesenchymal transition (EMT) and therapy-induced stress, both of which are significant contributors to cancer recurrence. In this context bibliometric analysis emerges as a crucial tool for evaluating the impacts and trends within scientific literature. Our study utilized bibliometrics to analysis the role of cellular reprogramming oncology over the past two decades, highlighting its potential to improve cancer treatment outcomes. In conducting this analysis, we searched for literature search on cellular reprogramming (CR) in the Web of Science database, covering the years 2002-2022. We employed visualization tools like Citespace, VOSviewer, and Bibliometrix to analyze the collected data resulting in a dataset of 3102 articles. The United States and China emerged as leading contributors to this field, with the University of Texas MD Anderson Cancer Center being the most prolific institution. Menendez was the most influential scholar in this research domain. Cancers was the journal with the most publications on this subject. The most local-cited document was the article titled "Hallmarks of Cancer: The Next Generation". A comprehensive analysis has been conducted based on keywords and cited references. In recent years, the research emphasis has shifted to "extracellular vesicles," "cancer therapy," and "cellular plasticity". Therefore, this analysis uses bibliometrics to chart cutting-edge progress in cancer's cellular reprogramming, aiding experts to quickly understand and innovate in this crucial area.

摘要

最近的研究通过引入细胞重编程重新评估了癌症线性进展和复发的传统观点。细胞重编程是一个过程,在此过程中癌细胞在某些条件下可以改变其状态。这种变化是由遗传和表观遗传因素共同驱动的,关键基因和通路发挥着关键作用,尤其是Wnt和Notch通路。癌症行为的复杂性还受到上皮-间质转化(EMT)和治疗诱导应激等因素的进一步影响,这两者都是癌症复发的重要因素。在这种背景下,文献计量分析成为评估科学文献中的影响和趋势的关键工具。我们的研究利用文献计量学分析了过去二十年中细胞重编程在肿瘤学中的作用,突出了其改善癌症治疗结果的潜力。在进行这项分析时,我们在科学网数据库中搜索了关于细胞重编程(CR)的文献,涵盖2002年至2022年。我们使用了Citespace、VOSviewer和Bibliometrix等可视化工具来分析收集到的数据,得到了一个包含3102篇文章的数据集。美国和中国是该领域的主要贡献者,德克萨斯大学MD安德森癌症中心是产出最多的机构。梅嫩德斯是该研究领域最有影响力的学者。《Cancers》是关于该主题发表文章最多的期刊。被引用最多的文献是题为《癌症的标志:下一代》的文章。我们基于关键词和引用文献进行了全面分析。近年来,研究重点已转向“细胞外囊泡”“癌症治疗”和“细胞可塑性”。因此,本分析使用文献计量学来描绘癌症细胞重编程的前沿进展,帮助专家在这一关键领域快速理解并进行创新。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/961c/11145233/78b2182a8766/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/961c/11145233/fbd8bde8fd86/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/961c/11145233/ce05295ae0c0/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/961c/11145233/fdb4cb3ea4ec/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/961c/11145233/d94885f17dff/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/961c/11145233/fc0bba30a0c9/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/961c/11145233/6d0f85b77fa8/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/961c/11145233/7ec6da1bc8c4/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/961c/11145233/78b2182a8766/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/961c/11145233/fbd8bde8fd86/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/961c/11145233/ce05295ae0c0/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/961c/11145233/fdb4cb3ea4ec/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/961c/11145233/d94885f17dff/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/961c/11145233/fc0bba30a0c9/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/961c/11145233/6d0f85b77fa8/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/961c/11145233/7ec6da1bc8c4/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/961c/11145233/78b2182a8766/gr8.jpg

相似文献

1
Deciphering two decades of cellular reprogramming in cancer: A bibliometric analysis of evolving trends and research frontiers.解读癌症领域二十年的细胞重编程:对发展趋势和研究前沿的文献计量分析
Heliyon. 2024 May 16;10(11):e31400. doi: 10.1016/j.heliyon.2024.e31400. eCollection 2024 Jun 15.
2
Research trends and hotspots on the links between caveolin and cancer: bibliometric and visual analysis from 2003 to 2022.小窝蛋白与癌症关联的研究趋势和热点:2003年至2022年的文献计量学与可视化分析
Front Pharmacol. 2023 Jul 28;14:1237456. doi: 10.3389/fphar.2023.1237456. eCollection 2023.
3
Bibliometric study of immunotherapy for hepatocellular carcinoma.免疫治疗肝细胞癌的文献计量学研究。
Front Immunol. 2023 Aug 4;14:1210802. doi: 10.3389/fimmu.2023.1210802. eCollection 2023.
4
A bibliometric and visual analysis of cancer-associated fibroblasts.癌症相关成纤维细胞的文献计量学和可视化分析。
Front Immunol. 2023 Dec 19;14:1323115. doi: 10.3389/fimmu.2023.1323115. eCollection 2023.
5
The evolution of minimal residual disease: key insights based on a bibliometric visualization analysis from 2002 to 2022.微小残留病的演变:基于2002年至2022年文献计量可视化分析的关键见解
Front Oncol. 2023 Jul 18;13:1186198. doi: 10.3389/fonc.2023.1186198. eCollection 2023.
6
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.
7
Emerging research themes in maternal hypothyroidism: a bibliometric exploration.母性甲状腺功能减退症的新兴研究主题:文献计量学探索。
Front Immunol. 2024 Mar 26;15:1370707. doi: 10.3389/fimmu.2024.1370707. eCollection 2024.
8
Immune regulation and the tumor microenvironment in anti-PD-1/PDL-1 and anti-CTLA-4 therapies for cancer immune evasion: A bibliometric analysis.免疫调节与抗 PD-1/PDL-1、抗 CTLA-4 治疗癌症免疫逃逸中的肿瘤微环境:文献计量分析。
Hum Vaccin Immunother. 2024 Dec 31;20(1):2318815. doi: 10.1080/21645515.2024.2318815. Epub 2024 Feb 28.
9
A Bibliometric Analysis of Metabolic Reprogramming in the Tumor Microenvironment From 2003 to 2022.2003 年至 2022 年肿瘤微环境代谢重编程的文献计量分析。
Cancer Rep (Hoboken). 2024 Aug;7(8):e2146. doi: 10.1002/cnr2.2146.
10
Emerging trends and research foci of oncolytic virotherapy for central nervous system tumors: A bibliometric study.溶瘤病毒治疗中枢神经系统肿瘤的研究热点和趋势:文献计量学研究。
Front Immunol. 2022 Sep 6;13:975695. doi: 10.3389/fimmu.2022.975695. eCollection 2022.

引用本文的文献

1
Global research progress in antibody-drug conjugates for solid tumors: Bibliometrics and visualized analysis.实体瘤抗体药物偶联物的全球研究进展:文献计量学与可视化分析
Hum Vaccin Immunother. 2025 Dec;21(1):2472493. doi: 10.1080/21645515.2025.2472493. Epub 2025 Feb 27.
2
Global research hotspots and trends in anti-inflammatory studies in dry eye: a bibliometric analysis (2004-2024).干眼抗炎研究的全球研究热点与趋势:文献计量分析(2004 - 2024年)
Front Med (Lausanne). 2024 Nov 28;11:1451990. doi: 10.3389/fmed.2024.1451990. eCollection 2024.

本文引用的文献

1
Exploring Prognostic Immune Microenvironment-Related Genes in Head and Neck Squamous Cell Carcinoma from the TCGA Database.从TCGA数据库探索头颈部鳞状细胞癌中与预后免疫微环境相关的基因
J Cancer. 2024 Jan 1;15(3):632-644. doi: 10.7150/jca.89581. eCollection 2024.
2
Combined metabolomic and lipidomic analysis uncovers metabolic profile and biomarkers for papillary thyroid carcinoma.联合代谢组学和脂质组学分析揭示甲状腺乳头状癌的代谢特征和生物标志物。
Sci Rep. 2023 Oct 17;13(1):17666. doi: 10.1038/s41598-023-41176-4.
3
Amplifications and Metabolic Rewiring in Neuroblastoma.
神经母细胞瘤中的扩增与代谢重编程
Cancers (Basel). 2023 Sep 29;15(19):4803. doi: 10.3390/cancers15194803.
4
Combined inhibition of pyruvate dehydrogenase kinase 1 and lactate dehydrogenase a induces metabolic and signaling reprogramming and enhances lung adenocarcinoma cell killing.联合抑制丙酮酸脱氢酶激酶 1 和乳酸脱氢酶 a 可诱导代谢和信号重编程,并增强肺腺癌细胞杀伤作用。
Cancer Lett. 2023 Nov 28;577:216425. doi: 10.1016/j.canlet.2023.216425. Epub 2023 Oct 5.
5
Flourishing tumor organoids: History, emerging technology, and application.蓬勃发展的肿瘤类器官:历史、新兴技术与应用
Bioeng Transl Med. 2023 Jun 7;8(5):e10559. doi: 10.1002/btm2.10559. eCollection 2023 Sep.
6
Research trends and hotspots on the links between caveolin and cancer: bibliometric and visual analysis from 2003 to 2022.小窝蛋白与癌症关联的研究趋势和热点:2003年至2022年的文献计量学与可视化分析
Front Pharmacol. 2023 Jul 28;14:1237456. doi: 10.3389/fphar.2023.1237456. eCollection 2023.
7
Understanding Antimicrobial Resistance Using Genome-Scale Metabolic Modeling.使用基因组规模代谢模型理解抗微生物药物耐药性
Antibiotics (Basel). 2023 May 11;12(5):896. doi: 10.3390/antibiotics12050896.
8
Emerging biomaterials for tumor immunotherapy.用于肿瘤免疫治疗的新型生物材料。
Biomater Res. 2023 May 16;27(1):47. doi: 10.1186/s40824-023-00369-8.
9
Reprogramming Cancer into Antigen-Presenting Cells as a Novel Immunotherapy.将癌症重编程为抗原呈递细胞作为一种新的免疫疗法。
Cancer Discov. 2023 May 4;13(5):1164-1185. doi: 10.1158/2159-8290.CD-21-0502.
10
Intersection of immune and oncometabolic pathways drives cancer hyperprogression during immunotherapy.免疫和致癌代谢途径的交汇导致免疫治疗期间癌症的超进展。
Cancer Cell. 2023 Feb 13;41(2):304-322.e7. doi: 10.1016/j.ccell.2022.12.008. Epub 2023 Jan 12.