Knowledge graph and bibliometric analysis of inflammatory indicators in ovarian cancer

Liyan Zhang¹Linlin Guo²haiyan wang^2*Huan Yang¹Jiarui Dong¹

• ¹Ningxia Medical University, Yinchuan, Ningxia, China
• ²General Hospital of Ningxia Medical University, Yinchuan, Ningxia Hui Region, China

Background：Chronic inflammation is a type of inflammatory response that lasts for a relatively long period of time. Occurrence and development of many diseases are closely related to chronic inflammation. In the process of the occurrence of certain tumors, chronic inflammation also plays an important role. For example, chronic inflammation of the stomach caused by chronic Helicobacter pylori infection is an important risk factor for gastric cancer. Inflammatory cells can release reactive oxygen species (ROS), cytokines and so on which can induce DNA damage in cells, activate oncogenes and suppress tumor suppressor genes, thus promoting the proliferation, survival, migration and invasion of tumor cells. Recent studies have shown that great progress has been made in understanding the role of chronic inflammation in ovarian cancer. However, there has been no bibliometric analysis in this research field yet. The aim of this study is to review the knowledge structure and research hotspots of inflammatory indicators in ovarian cancer through bibliometric methods. Methods: A computer search was conducted on 595 articles related to inflammatory markers and ovarian cancer in the Web of Science Core Collection (WoSCC) database from 2000 to 2024. Relevant software such as VOSviewer, CiteSpace, R package "bibliometrix" and Microsoft Office Excel 2019 were used to conduct a comprehensive bibliometric analysis on these related articles and analyze the research status and development directions over the past more than 20 years. Results:he results of this study can not only provide reliable diagnostic and treatment information for clinical practice but also guide the formulation of oncology policies. It emphasizes the importance of inflammatory indicators in routine diagnosis and treatment regimens and therapies, especially in customizing immunotherapy and chemotherapy regimens. The results of this study show that the application of inflammatory indicators may improve patient management strategies and ultimately contribute to improving the survival outcomes of patients with ovarian cancer. Such a shift in clinical practice may significantly change the efficacy of ovarian cancer treatment and the prognosis of patients. as evidenced by the positive correlation between lymphocyte levels and overall survival in patients treated with bevacizumab.