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肾细胞癌与巨噬细胞研究:文献计量分析(2004 - 2023年)

Renal cell carcinoma and macrophage research: A bibliometric analysis (2004-2023).

作者信息

Qi Dingtian, Zhang Haoxun, Xiong Feng, Zhang Guoling, Tao Boju, Wang Chunyang

机构信息

Department of Urology, The First Affiliated Hospital of Harbin Medical University, Harbin, China.

出版信息

Medicine (Baltimore). 2024 Dec 13;103(50):e40954. doi: 10.1097/MD.0000000000040954.


DOI:10.1097/MD.0000000000040954
PMID:39686418
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11651438/
Abstract

To analyze hotspots and trends in renal cell carcinoma (RCC)-macrophage research using bibliometric analysis, although numerous studies on macrophages in RCC have been recently reported, understanding the progressive trends in this field remains challenging. Publications focused on macrophages in RCC were extracted from the Web of Science Core Collection. VOSviewer, Citespace, and Bibliometrics online platforms were used to visualize hot topics and global trends in RCC-macrophage research. In total, 778 papers were collected. China produced the most articles; however, the United States accounted for the largest number of citations. Oncology journals published the most articles, and these were cited most frequently. Based on keyword analysis, "prognosis," "immunotherapy," "tumor microenvironment," and "immune infiltration" represented the primary research hotspots. In summary, RCC-macrophage studies have emerged as a key research focus; particularly, incorporating multiomics data and applying artificial intelligence for predictive modeling have demonstrated significant potential. Our study suggests that the resistance mechanism of immune checkpoint inhibitors and the interaction between macrophages and immune checkpoint inhibitors will be pivotal areas for future research.

摘要

为了通过文献计量分析来剖析肾细胞癌(RCC)-巨噬细胞研究的热点和趋势,尽管最近已有大量关于RCC中巨噬细胞的研究报道,但了解该领域的进展趋势仍具有挑战性。从Web of Science核心合集中提取了聚焦于RCC中巨噬细胞的出版物。使用VOSviewer、Citespace和文献计量在线平台来可视化RCC-巨噬细胞研究中的热点话题和全球趋势。总共收集了778篇论文。中国发表的文章数量最多;然而,美国的被引次数最多。肿瘤学期刊发表的文章数量最多,且这些文章被引用得也最频繁。基于关键词分析,“预后”“免疫疗法”“肿瘤微环境”和“免疫浸润”代表了主要的研究热点。总之,RCC-巨噬细胞研究已成为一个关键的研究重点;特别是,整合多组学数据并应用人工智能进行预测建模已显示出巨大潜力。我们的研究表明,免疫检查点抑制剂的耐药机制以及巨噬细胞与免疫检查点抑制剂之间的相互作用将是未来研究的关键领域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5f7/11651438/03d14974570f/medi-103-e40954-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5f7/11651438/10520a2ddedf/medi-103-e40954-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5f7/11651438/758362c93802/medi-103-e40954-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5f7/11651438/527549188b2a/medi-103-e40954-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5f7/11651438/73182841dbee/medi-103-e40954-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5f7/11651438/fde657bfcf20/medi-103-e40954-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5f7/11651438/4da086962aa6/medi-103-e40954-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5f7/11651438/fc8194d61d17/medi-103-e40954-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5f7/11651438/03d14974570f/medi-103-e40954-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5f7/11651438/10520a2ddedf/medi-103-e40954-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5f7/11651438/758362c93802/medi-103-e40954-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5f7/11651438/527549188b2a/medi-103-e40954-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5f7/11651438/73182841dbee/medi-103-e40954-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5f7/11651438/fde657bfcf20/medi-103-e40954-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5f7/11651438/4da086962aa6/medi-103-e40954-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5f7/11651438/fc8194d61d17/medi-103-e40954-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5f7/11651438/03d14974570f/medi-103-e40954-g008.jpg

相似文献

[1]
Renal cell carcinoma and macrophage research: A bibliometric analysis (2004-2023).

Medicine (Baltimore). 2024-12-13

[2]
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[4]
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[5]
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[6]
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[7]
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[8]
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[9]
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[10]
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本文引用的文献

[1]
Human Umbilical Cord Mesenchymal Stromal Cell-Derived Exosomes Alleviate Hypoxia-Induced Pulmonary Arterial Hypertension in Mice Via Macrophages.

Stem Cells. 2024-4-15

[2]
Multimodal deep learning for personalized renal cell carcinoma prognosis: Integrating CT imaging and clinical data.

Comput Methods Programs Biomed. 2024-2

[3]
Immune approaches beyond traditional immune checkpoint inhibitors for advanced renal cell carcinoma.

Hum Vaccin Immunother. 2023-12-15

[4]
Renal Cell Cancer - Insights in Drug Resistance Mechanisms.

Anticancer Res. 2023-11

[5]
Macrophages in ulcerative colitis: A perspective from bibliometric and visual analysis.

Heliyon. 2023-9-17

[6]
Exosomes in the Diagnosis and Treatment of Renal Cell Cancer.

Int J Mol Sci. 2023-9-20

[7]
Tumor-associated M2 macrophages in the immune microenvironment influence the progression of renal clear cell carcinoma by regulating M2 macrophage-associated genes.

Front Oncol. 2023-6-8

[8]
Excavation of diagnostic biomarkers and construction of prognostic model for clear cell renal cell carcinoma based on urine proteomics.

Front Oncol. 2023-5-16

[9]
Perivascular tumor-associated macrophages and their role in cancer progression.

Essays Biochem. 2023-9-28

[10]
Incremental value of radiomics with machine learning to the existing prognostic models for predicting outcome in renal cell carcinoma.

Front Oncol. 2023-4-28

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