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Updated: May 13, 2025

A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer
Published on: March 6, 2018
From obesity to inflammation: emerging frontiers in prostate cancer and metabolic syndrome studies
Xi Xu1,2, Jinshan Xu1, Hongliang Gao1
1Department of Urology, First Affiliated Hospital, Naval Medical University, Shanghai, China.
Background:
According to recent studies, prostate cancer (PCa) is strongly associated with metabolic syndrome (MetS). However, there has not been any bibliometric visual analysis of relevant papers. In order to acquire knowledge about research settings and possible future paths, a thorough bibliometric study of MetS-related PCa research was carried out.
Methods:
From January 1, 2004 to December 31, 2023, original and review publications about MetS and PCa were retrieved from the Web of Science Core Collection (WOSCC) database. Analysis of co-authorship and co-occurrence was done using VOSviewer. To find the top terms with the greatest citation burst, CiteSpace was used.
Results:
There were 1,296 publications on PCa and MetS in all. The analysis showed that the number of yearly scientific papers in the sector was on the rise. The three most productive nations were China, Italy, and the USA. Most papers were published in the PLoS One, while most citations were obtained by the European Urology. The most influential author in terms of citations was Professor Smith MR, whereas the most prolific author was Professor Freedland SJ. Keyword analysis revealed that, apart from PCa and MetS, "obesity" was the most often used phrase, with "risk", "meta-analysis", and "inflammation" appearing as study subjects. Furthermore, "components" and "sex hormones" gained more and more attention.
Conclusions:
The findings provide a thorough understanding of the larger context of this field of study. Future studies need to investigate PCa's metabolic processes and inflammatory mechanism. Furthermore, switching from observational research to meta-analysis offers the possibility of illness prediction and tailored therapies. These results may help researchers navigate the most recent advancements and influence the field's future paths.
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