癌症三级淋巴结构的研究趋势、热点和未来方向:一项综合信息学分析和可视化研究。

IF 2.8 4区 医学 Q3 ENDOCRINOLOGY & METABOLISM
Chengdong Yu, Jiawei Xu, Siyi Xu, Lei Tang, Qinyuan Han, Zhengkui Sun
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引用次数: 0

摘要

许多研究都报道了癌症中存在三级淋巴结构(TLS),但对癌症中三级淋巴结构的研究进展却没有进行系统分析。因此,我们利用信息学方法分析了该领域的全球科学知识。结果表明,21 世纪以来,癌症中的 TLS 越来越受到关注,其发表论文的年增长率为 27.86%。基于机器学习的无监督分层聚类进一步将研究特征分为四个群组,其中与免疫疗法相关的群组被认为是一个新兴群组。TLS和免疫疗法被认为是出现频率和总链接强度最高的两个热点。Walktrap算法表明,"TLSs、癌症、预后价值 "和 "高内皮静脉、生殖中心、结节样结构 "对TLSs很重要,但仍未得到充分探索,代表了有前景的研究方向。这些发现表明,与癌症相关的TLS为抗肿瘤免疫带来了新的启示,以TLS为靶点有可能改变抗肿瘤免疫疗法的格局。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research trends, hotspots and future directions of tertiary lymphoid structures in cancer: a comprehensive informatics analysis and visualization study.

Many studies have reported the presence of tertiary lymphoid structures (TLSs) in cancer, but the research progress of TLSs in cancer has not been systematically analyzed. Therefore, we analyzed the global scientific knowledge in the field using informatics methods. The results showed that TLSs in cancer have received increasing attention since the 21st century, with an annual publication growth rate of 27.86%. Unsupervised hierarchical clustering based on machine learning further categorized the research features into four clusters, with the cluster related to immunotherapy being considered an emerging cluster. TLSs and immunotherapy were identified as the top two hotspots with the highest occurrence frequency and total link strength. The Walktrap algorithm indicated that "TLSs, carcinoma, prognostic value" and "high endothelial venules, germinal-centers, node-like structures" are important to TLSs but remain underexplored, representing promising research directions. These findings suggest that cancer-related TLSs have brought new insights into antitumor immunity, and targeting TLSs has the potential to transform the landscape of antitumor immunotherapy.

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来源期刊
Discover. Oncology
Discover. Oncology Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
2.40
自引率
9.10%
发文量
122
审稿时长
5 weeks
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