Knowledge mapping and research hotspots of immunotherapy in renal cell carcinoma: A text-mining study from 2002 to 2021

Front Immunol. 2022 Jul 28:13:969217. doi: 10.3389/fimmu.2022.969217. eCollection 2022.

Abstract

Background: Renal cell carcinoma (RCC) is one of the most lethal urological malignancies, and because early-stage RCC is asymptomatic, many patients present metastatic diseases at first diagnosis. With the development of immunotherapy, the treatment of RCC has entered a new stage and has made a series of progress. This study mainly outlines the knowledge map and detects the potential research hotspots by using bibliometric analysis.

Methods: Publications concerning RCC immunotherapy from 2002 to 2021 in the Web of Science Core Collection were collected. Visualization and statistical analysis were mainly performed by freeware tools VOSviewer, CiteSpace, R software, and Microsoft Office Excel 2019.

Results: A total of 3,432 papers were collected in this study, and the annual number of papers and citations showed a steady growth trend. The United States is the leading country with the most high-quality publications and is also the country with the most international cooperation. The University of Texas MD Anderson Cancer Center is the most productive organization. The Journal of Clinical Oncology is the highest co-cited journal, and Brian I. Rini is both the most prolific author and the author with the largest centrality. The current research hotspots may be focused on "immune checkpoint inhibitors (ICIs)," "PD-1," and "mammalian target of rapamycin."

Conclusion: Immunotherapy has a bright future in the field of RCC treatment, among which ICIs are one of the most important research hotspots. The main future research directions of ICI-based immunotherapy may focus on combination therapy, ICI monotherapy, and the development of new predictive biomarkers.

Keywords: bibliometric; immune checkpoint inhibitors; immunotherapy; renal cell carcinoma; visualization.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bibliometrics
  • Carcinoma, Renal Cell* / therapy
  • Data Mining
  • Humans
  • Immunotherapy
  • Kidney Neoplasms* / therapy
  • United States