文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
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
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
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 @ 2025

癌症预防、筛查、诊断、治疗及康复的现状、热点与趋势:一项文献计量分析

Current status, hotspots, and trends in cancer prevention, screening, diagnosis, treatment, and rehabilitation: A bibliometric analysis.

作者信息

Zhang Chuchu, Liu Ying, Chen Zehui, Liu Y I, Mao Qiyuan, Zhang G E, Lin Hongsheng, Zheng Jiabin, Li Haiyan

机构信息

Institute of Information on Traditional Chinese Medicine, Chinese Academy of Chinese Medical Sciences, Beijing, 100700, China.

Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.

出版信息

Oncol Res. 2025 May 29;33(6):1437-1458. doi: 10.32604/or.2025.059290. eCollection 2025.


DOI:10.32604/or.2025.059290
PMID:40486880
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12144630/
Abstract

OBJECTIVES: Decades of clinical and fundamental research advancements in oncology have led to significant breakthroughs such as early screening, targeted therapies, and immunotherapy, contributing to reduced mortality rates in cancer patients. Despite these achievements, cancer continues to be a major public health challenge. This study employs bibliometric techniques to visually analyze the English literature on cancer prevention, screening, diagnosis, treatment, and rehabilitation. METHODS: We systematically reviewed publications from 01 March 2014, to 01 March 2024, indexed in the Web of Science core collection. Tools such as VOSviewer Version 1.6.20 is characterized by its core idea of co-occurrence clustering. CiteSpace 6.3.R3 is distinguished by its powerful capabilities in bibliometric analysis, including co-citation analysis, co-occurrence analysis of keywords, author collaboration network analysis, and journal co-citation analysis, providing effective insights into research hotspots and detecting emerging trends. Bibliometrix version 3.0.3 offers rich visualization features, including collaboration network diagrams, citation distribution graphs, and keyword clouds. facilitated the analysis of the literature, helping to map out the current research landscape, identify pressing issues, and discern emerging trends, thus offering insights for future research directions. RESULTS: The analysis revealed that major research hotspots include lung and breast cancer. Attention is predominantly concentrated on cancer treatment, subdivided into targeted therapy, immunotherapy, traditional Chinese medicine, and the development of new anticancer drugs. Significant terms identified in the study include immune checkpoint inhibitors, tumor microenvironment, and cancer stem cells. CONCLUSION: This bibliometric analysis highlights the evolving directions in oncology research, pinpointing nanotherapy, resistance to targeted therapies, and the integration of artificial intelligence as pivotal future research avenues in the prevention, screening, diagnosis, treatment, and rehabilitation of cancer.

摘要

目的:肿瘤学领域数十年的临床和基础研究进展带来了重大突破,如早期筛查、靶向治疗和免疫治疗,有助于降低癌症患者的死亡率。尽管取得了这些成就,但癌症仍然是一项重大的公共卫生挑战。本研究采用文献计量学技术,对关于癌症预防、筛查、诊断、治疗和康复的英文文献进行可视化分析。 方法:我们系统回顾了2014年3月1日至2024年3月1日在科学网核心合集中索引的出版物。诸如VOSviewer 1.6.20版本等工具的特点是其共现聚类的核心思想。CiteSpace 6.3.R3的特点是在文献计量分析方面具有强大功能,包括共被引分析、关键词共现分析、作者合作网络分析和期刊共被引分析,能有效洞察研究热点并检测新趋势。Bibliometrix 3.0.3版本提供丰富的可视化功能,包括合作网络图、引文分布图和关键词云。这些工具便于对文献进行分析,有助于勾勒当前的研究格局,识别紧迫问题并辨别新趋势,从而为未来的研究方向提供见解。 结果:分析表明,主要研究热点包括肺癌和乳腺癌。注意力主要集中在癌症治疗上,细分为靶向治疗、免疫治疗、中医药和新型抗癌药物的研发。该研究中确定的重要术语包括免疫检查点抑制剂、肿瘤微环境和癌症干细胞。 结论:这项文献计量分析突出了肿瘤学研究的发展方向,指出纳米疗法、对靶向治疗的耐药性以及人工智能的整合是癌症预防、筛查、诊断、治疗和康复未来的关键研究途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/5e0ab01b1bcf/OncolRes-33-59290-f016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/6ac21dd9ca41/OncolRes-33-59290-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/bd66fd0db870/OncolRes-33-59290-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/986b46c53e30/OncolRes-33-59290-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/5ad2f2dd7c3b/OncolRes-33-59290-f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/772c739e9d95/OncolRes-33-59290-f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/39cb44381345/OncolRes-33-59290-f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/de340e5819b7/OncolRes-33-59290-f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/bac25b29f1db/OncolRes-33-59290-f008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/93a1b1d8f289/OncolRes-33-59290-f009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/215195bb3a8e/OncolRes-33-59290-f010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/972e84fe7445/OncolRes-33-59290-f011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/bd2567030c1a/OncolRes-33-59290-f012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/47eb610b0f38/OncolRes-33-59290-f013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/23b9192acc69/OncolRes-33-59290-f014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/599e2b328b09/OncolRes-33-59290-f015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/5e0ab01b1bcf/OncolRes-33-59290-f016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/6ac21dd9ca41/OncolRes-33-59290-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/bd66fd0db870/OncolRes-33-59290-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/986b46c53e30/OncolRes-33-59290-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/5ad2f2dd7c3b/OncolRes-33-59290-f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/772c739e9d95/OncolRes-33-59290-f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/39cb44381345/OncolRes-33-59290-f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/de340e5819b7/OncolRes-33-59290-f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/bac25b29f1db/OncolRes-33-59290-f008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/93a1b1d8f289/OncolRes-33-59290-f009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/215195bb3a8e/OncolRes-33-59290-f010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/972e84fe7445/OncolRes-33-59290-f011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/bd2567030c1a/OncolRes-33-59290-f012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/47eb610b0f38/OncolRes-33-59290-f013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/23b9192acc69/OncolRes-33-59290-f014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/599e2b328b09/OncolRes-33-59290-f015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c3/12144630/5e0ab01b1bcf/OncolRes-33-59290-f016.jpg

相似文献

[1]
Current status, hotspots, and trends in cancer prevention, screening, diagnosis, treatment, and rehabilitation: A bibliometric analysis.

Oncol Res. 2025-5-29

[2]
Driving innovations in cancer research through spatial metabolomics: a bibliometric review of trends and hotspot.

Front Immunol. 2025-6-10

[3]
Research status, hotspots and perspectives of artificial intelligence applied to pain management: a bibliometric and visual analysis.

Updates Surg. 2025-6-28

[4]
A bibliometric analysis of research trends in mesenchymal stem cell therapy for neonatal bronchopulmonary dysplasia: 2004-2024.

Front Pediatr. 2025-6-3

[5]
A bibliometric analysis of challenges and advancements in the integrated application of nanoparticles and chimeric antigen receptor T cell therapy.

Hum Vaccin Immunother. 2025-12

[6]
Cutting-edge dynamics and research hotspots on boswellic acid in cancer: a bibliometrics analysis from 1994 to 2024.

Discov Oncol. 2025-6-21

[7]
Research trends on lactate in cancer: a bibliometric analysis and comprehensive review (2015-2024).

Front Immunol. 2025-5-9

[8]
Comprehensive Global Analysis of Future Trends in Artificial Intelligence-Assisted Veterinary Medicine.

Vet Med Sci. 2025-5

[9]
Data-driven trends in critical care informatics: a bibliometric analysis of global collaborations using the MIMIC database (2004-2024).

Comput Biol Med. 2025-9

[10]
Mapping current research status and emerging frontiers of lipidomics: a comprehensive data-mining-based study.

Metabolomics. 2025-6-22

本文引用的文献

[1]
Cancer statistics, 2024.

CA Cancer J Clin. 2024

[2]
68Ga-FAPI PET imaging monitors response to combined TGF-βR inhibition and immunotherapy in metastatic colorectal cancer.

J Clin Invest. 2024-1-4

[3]
Frontiers of Molecular Biology of Cancer.

Int J Mol Sci. 2023-12-6

[4]
Therapeutic Monoclonal Antibodies against Cancer: Present and Future.

Cells. 2023-12-14

[5]
Magnetic Resonance Imaging Nanoprobe Quantifies Nitric Oxide for Evaluating M1/M2 Macrophage Polarization and Prognosis of Cancer Treatments.

ACS Nano. 2023-12-26

[6]
Cancer screening in China: a steep road from evidence to implementation.

Lancet Public Health. 2023-12

[7]
Tumor-specific GPX4 degradation enhances ferroptosis-initiated antitumor immune response in mouse models of pancreatic cancer.

Sci Transl Med. 2023-11

[8]
Cancer immunotherapies: advances and bottlenecks.

Front Immunol. 2023

[9]
Identification of Genes Associated with Prognosis and Immunotherapy Prediction in Triple-Negative Breast Cancer via M1/M2 Macrophage Ratio.

Medicina (Kaunas). 2023-7-11

[10]
Epigallocatechin-3-Gallate Therapeutic Potential in Cancer: Mechanism of Action and Clinical Implications.

Molecules. 2023-7-6

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索