临床与病理杂志2025，Vol.45Issue(10)：1294-1309,16.DOI:10.11817/j.issn.2095-6959.2025.250670
基于Web of Science数据库的黏液样脂肪肉瘤文献计量学可视化分析
Bibliometric and visualization analysis of myxoid liposarcoma research based on Web of Science database
摘要
Abstract
Objective:Myxoid liposarcoma(MLPS)is a malignant tumor characterized by distinct genetic features,high local recurrence,and unique non-pulmonary metastasis patterns.The high recurrence rate and atypical metastasis characteristics pose significant challenges in clinical diagnosis and treatment.This study uses bibliometric methods to systematically review the global publication patterns,collaboration networks,research hotspots,and emerging trends of MLPS research over the past 20 years.The goal is to provide an overview of the current state,developmental trends,and future directions of this field,offering a reference for clinical research. Methods:The study conducted a search in the Web of Science Core Collection,including articles and review articles,covering MLPS-related literature from 2005 to 2024,with a total of 781 articles identified.CiteSpace 6.4 R1 software was used to construct knowledge maps of annual publication volume,countries/regions,institutions,authors,cited authors,journals,references,and keywords.These maps were used to analyze publication trends,country/institutional collaboration networks,co-citation networks of authors and journals,co-citation networks of references,and keyword co-occurrence,clustering,timelines,and burst detection. Results:A total of 781 MLPS-related articles from 102 institutions across 65 countries/regions were included in this study.Although there were fluctuations in the annual publication volume over the past 20 years,the overall trend was an increase,peaking in 2021 and stabilizing thereafter.The leading country in terms of publication volume was the United States(227 articles),with China ranked 4th.The institution with the most publications was the Fondazione IRCCS Istituto Nazionale Tumori Milan(41 articles),and the most prolific author was Gronchi Alessandro(23 articles).The author most frequently cited was Antonescu Cristina R(201 citations).The most frequently cited journal was Cancer Am Cancer Soc(384 citations).Co-citation analysis revealed that the most cited reference was"WHO classification of tumours:Soft tissue and bone tumours"(45 citations).Keyword co-occurrence analysis indicated that high-frequency keywords included"chop""expression""ecteinascidin 743""radiation therapy""prognostic factors""round cell liposarcoma"and"extremity".The keyword with the highest betweenness centrality was"radiation therapy".Cluster and timeline analysis identified the following as recent research hotspots in the past 5 years:"#3 trabectedin""#5 magnetic resonance imaging""#7 survival""#9 pleomorphic liposarcoma"and"#11 neoadjuvant radiotherapy"(codes represent clustering).Burst detection highlighted the emerging research topics of"pleomorphic myxoid liposarcoma"and"preoperative radiotherapy",which have recently attracted considerable attention in MLPS research. Conclusion:Over the past 20 years,MLPS-related research has shown a gradual increase,with developed countries leading the field.In recent years,the research focus has shifted to tumor biological behavior and prognostic factors,the application of magnetic resonance imaging in staging and follow-up,the optimization of neoadjuvant radiotherapy dosimetry and protocols,and the exploration of subtype-specific neoadjuvant chemotherapy regimens,such as those involving trabectedin.The frontier research areas include myxoid pleomorphic liposarcoma and preoperative radiotherapy.Future research hotspots may include targeted therapy,immunotherapy,and multimodal treatment strategies exploring personalized treatment pathways.关键词
黏液样脂肪肉瘤/文献计量学/磁共振成像/新辅助放疗/曲贝替定Key words
myxoid liposarcoma/bibliometrics/magnetic resonance imaging/neoadjuvant radiotherapy/trabectedin引用本文复制引用
张剑丹,陈晨,资桂梅,李旭红,欧阳潇玥..基于Web of Science数据库的黏液样脂肪肉瘤文献计量学可视化分析[J].临床与病理杂志,2025,45(10):1294-1309,16.基金项目
湖南省重点研发项目(2023SK2038).This work was supported by the Key Research and Development Program of Hunan Province,China(2023SK2038). （2023SK2038）
