Huinan Jiang,1 Xue Bai2 

1Department of Hematology, Shengjing Hospital of China Medical University, Shenyang, People’s Republic of China; 2Department of Health Management, Shengjing Hospital of China Medical University, Shenyang, People’s Republic of China

Correspondence: Xue Bai, Shengjing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Shenyang, Liaoning Province, 110004, People’s Republic of China, Email xbai88@cmu.edu.cn

Objective: This study aims to perform a bibliometric visual analysis and bioinformatics analysis to explore the research hotspots and trends of renal impairment in multiple myeloma, including the associated genes and signal pathways over the past two decades.
Methods: The Web of Science Core Collection database was utilized as the data source to retrieve literature on renal impairment in multiple myeloma from 2000 to 2023. The selected literature was analyzed using bibliometric and bioinformatics software, including Bibliometrix, VOSviewer 1.6.16, Citespace 5.7R5 and Cytoscape 3.7.1 software.
Results: This study encompassed 2152 articles that were published from 2000 to 2023, demonstrating an overall upward trend in annual publications and citations. Among the set of 27 core journals examined, the “CUREUS JOURNAL OF MEDICAL SCIENCE” exhibited the highest frequency of publications, while “BLOOD” emerged as the most frequently cited source. The global research on renal impairment in multiple myeloma research included contributions from 84 countries/regions, with the United States leading in terms of publication output and Mayo Clinic playing a central role in fostering inter-agency collaboration. Keywords such as “daratumumab”, “carfilzomib”, “diagnostic criteria” and “kidney biopsy” included recent research hotspots. We hypothesized that the TP53, AKT1, MYC, and CTNNB1 genes were involved in epithelial cell proliferation and the positive regulation of the MAPK cascade through signaling receptor activator activity, receptor-ligand interactions, and cytokine receptor binding. Simultaneously, they were implicated in renal impairment in multiple myeloma via the PI3K/Akt and MAPK signaling pathways.
Conclusion: This research employed bibliometric visual analysis and bioinformatics analysis to identify the current focus and future directions of studying renal impairment in multiple myeloma, as well as to explore the associated genes and signaling pathways. The management of renal impairment in patients with multiple myeloma has a significant impact on medical costs. Clinical physicians need to consider how to allocate medical resources reasonably, ensure that patients can receive necessary diagnosis and treatment, and explore cost-effective treatment options. The management of these patients requires interdisciplinary medical services, which should integrate basic and clinical research, especially the development of new treatment plans, to improve patients’ quality of life and guide future treatment choices.

Keywords: multiple myeloma, renal impairment, bibliometrics, bioinformatics