Jinan Shi, Lei Pan, Feixia Ma, Ganlu Zhang, Yin Duan
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Co-occurrence and collaboration analyses among countries/regions, institutions, authors, and keywords were performed with Bibliometrix R packages and VOSviewer software. CiteSpace was used for reference and keyword burst detection, while high-frequency keyword layouts were generated using BICOMB. gCLUTO was employed for biclustering analysis of the binary co-keyword matrix.</p><p><strong>Results: </strong>A total of 2,066 articles on TILs in breast cancer were identified. Between 2004 and 2023, the USA and Milan University led productivity in terms of country/region and institution, respectively. The journals \"CANCERS,\" \"Breast Cancer Research and Treatment,\" and \"Frontiers in Oncology\" published the most articles on this topic. Loi S was the leading author, with the highest number of publications and co-citations. Co-keyword analysis revealed six research hotspots related to TILs in breast cancer. The pathological assessment of TILs using artificial intelligence (AI) remains in its early stages but is a key focus. Burst detection of keywords indicated significant activity in \"immune cell infiltration\", \"immune checkpoint inhibitors\", and \"hormone receptor\" over the past three years.</p><p><strong>Conclusion: </strong>This study reviews recent advancements and trends in TILs research in breast cancer using scientometric analysis. The findings offer valuable insights for funding decisions and developing innovative strategies in TILs research, highlighting current research frontiers and trends.</p>","PeriodicalId":12482,"journal":{"name":"Frontiers in Oncology","volume":"14 ","pages":"1438091"},"PeriodicalIF":3.5000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11564181/pdf/","citationCount":"0","resultStr":"{\"title\":\"Thematic trends and knowledge-map of tumor-infiltrating lymphocytes in breast cancer: a scientometric analysis.\",\"authors\":\"Jinan Shi, Lei Pan, Feixia Ma, Ganlu Zhang, Yin Duan\",\"doi\":\"10.3389/fonc.2024.1438091\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Tumor-infiltrating lymphocytes (TILs), essential for the anti-tumor response, are now recognized as promising and cost-effective biomarkers with both prognostic and predictive value. They are crucial in the precision treatment of breast cancer, particularly for predicting clinical outcomes and identifying candidates for immunotherapy. This study aims to encapsulate the current knowledge of TILs in breast cancer research while evaluating research trends both qualitatively and quantitatively.</p><p><strong>Methods: </strong>Publications on TILs in breast cancer studies from January 1, 2004, to December 31, 2023, were extracted from the Web of Science Core Collection. Co-occurrence and collaboration analyses among countries/regions, institutions, authors, and keywords were performed with Bibliometrix R packages and VOSviewer software. CiteSpace was used for reference and keyword burst detection, while high-frequency keyword layouts were generated using BICOMB. gCLUTO was employed for biclustering analysis of the binary co-keyword matrix.</p><p><strong>Results: </strong>A total of 2,066 articles on TILs in breast cancer were identified. Between 2004 and 2023, the USA and Milan University led productivity in terms of country/region and institution, respectively. The journals \\\"CANCERS,\\\" \\\"Breast Cancer Research and Treatment,\\\" and \\\"Frontiers in Oncology\\\" published the most articles on this topic. Loi S was the leading author, with the highest number of publications and co-citations. Co-keyword analysis revealed six research hotspots related to TILs in breast cancer. The pathological assessment of TILs using artificial intelligence (AI) remains in its early stages but is a key focus. Burst detection of keywords indicated significant activity in \\\"immune cell infiltration\\\", \\\"immune checkpoint inhibitors\\\", and \\\"hormone receptor\\\" over the past three years.</p><p><strong>Conclusion: </strong>This study reviews recent advancements and trends in TILs research in breast cancer using scientometric analysis. The findings offer valuable insights for funding decisions and developing innovative strategies in TILs research, highlighting current research frontiers and trends.</p>\",\"PeriodicalId\":12482,\"journal\":{\"name\":\"Frontiers in Oncology\",\"volume\":\"14 \",\"pages\":\"1438091\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11564181/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3389/fonc.2024.1438091\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fonc.2024.1438091","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
背景:肿瘤浸润淋巴细胞(TILs)对抗肿瘤反应至关重要,目前已被公认为具有预后和预测价值、前景广阔且经济有效的生物标志物。它们对乳腺癌的精准治疗至关重要,尤其是在预测临床结果和确定免疫疗法候选者方面。本研究旨在总结目前乳腺癌研究中有关TILs的知识,同时对研究趋势进行定性和定量评估:方法:从 Web of Science 核心文献集中提取了 2004 年 1 月 1 日至 2023 年 12 月 31 日期间有关乳腺癌研究中 TILs 的文献。使用 Bibliometrix R 软件包和 VOSviewer 软件对国家/地区、机构、作者和关键词之间的共现和合作进行分析。CiteSpace 用于参考文献和关键词突发检测,而高频关键词布局则使用 BICOMB 生成,gCLUTO 用于二元共关键词矩阵的双聚分析:结果:共发现 2,066 篇关于乳腺癌中 TILs 的文章。从 2004 年到 2023 年,美国和米兰大学分别在国家/地区和机构方面居于领先地位。CANCERS》、《Breast Cancer Research and Treatment》和《Frontiers in Oncology》等期刊发表了最多有关这一主题的文章。Loi S是主要作者,发表文章和共同引用次数最多。共关键词分析揭示了与乳腺癌中的TILs相关的六个研究热点。利用人工智能(AI)对TILs进行病理评估仍处于早期阶段,但已成为研究重点。关键词的突发性检测表明,在过去三年中,"免疫细胞浸润"、"免疫检查点抑制剂 "和 "激素受体 "方面的研究十分活跃:本研究利用科学计量分析回顾了乳腺癌 TILs 研究的最新进展和趋势。研究结果为 TILs 研究的资助决策和创新战略的制定提供了有价值的见解,突出了当前的研究前沿和趋势。
Thematic trends and knowledge-map of tumor-infiltrating lymphocytes in breast cancer: a scientometric analysis.
Background: Tumor-infiltrating lymphocytes (TILs), essential for the anti-tumor response, are now recognized as promising and cost-effective biomarkers with both prognostic and predictive value. They are crucial in the precision treatment of breast cancer, particularly for predicting clinical outcomes and identifying candidates for immunotherapy. This study aims to encapsulate the current knowledge of TILs in breast cancer research while evaluating research trends both qualitatively and quantitatively.
Methods: Publications on TILs in breast cancer studies from January 1, 2004, to December 31, 2023, were extracted from the Web of Science Core Collection. Co-occurrence and collaboration analyses among countries/regions, institutions, authors, and keywords were performed with Bibliometrix R packages and VOSviewer software. CiteSpace was used for reference and keyword burst detection, while high-frequency keyword layouts were generated using BICOMB. gCLUTO was employed for biclustering analysis of the binary co-keyword matrix.
Results: A total of 2,066 articles on TILs in breast cancer were identified. Between 2004 and 2023, the USA and Milan University led productivity in terms of country/region and institution, respectively. The journals "CANCERS," "Breast Cancer Research and Treatment," and "Frontiers in Oncology" published the most articles on this topic. Loi S was the leading author, with the highest number of publications and co-citations. Co-keyword analysis revealed six research hotspots related to TILs in breast cancer. The pathological assessment of TILs using artificial intelligence (AI) remains in its early stages but is a key focus. Burst detection of keywords indicated significant activity in "immune cell infiltration", "immune checkpoint inhibitors", and "hormone receptor" over the past three years.
Conclusion: This study reviews recent advancements and trends in TILs research in breast cancer using scientometric analysis. The findings offer valuable insights for funding decisions and developing innovative strategies in TILs research, highlighting current research frontiers and trends.
期刊介绍:
Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.