biostudies-literatureUnknown12De La Hoz-M J<h4>Background</h4>Renal cell carcinoma (RCC) is a common, often lethal kidney cancer that originates in the renal cortex. Its incidence is rising, and major factors include smoking, obesity, and hypertension, though its etiology is uncertain. While surgery is effective for localized RCC, treatments for metastatic RCC have advanced significantly due to better diagnostic, prognostic, and predictive tools. Despite this progress, challenges remain, including long-term drug resistance and the complexity of RCC as a diverse group of diseases rather than a single entity.<h4>Objective</h4>The aim of this bibliometric review was a comprehensive analysis of the topics and trends in RCC research, offering a foundation for future investigations.<h4>Methods</h4>We used R "Bibliometrix" to conduct a biJMIR cancere78797https://www.ebi.ac.uk/biostudies/studies/S-EPMC12810951biostudies-literatureUsing Latent Dirichlet Allocation Topic Modeling to Uncover Latent Research Topics and Trends in Renal Cell Carcinoma: Bibliometric Review.PMC12810951De La Hoz-M JFors MSalas-Macias CAMontes-Escobar KBallaz SJfalseUsing Latent Dirichlet Allocation Topic Modeling to Uncover Latent Research Topics and Trends in Renal Cell Carcinoma: Bibliometric Review.<h4>Background</h4>Renal cell carcinoma (RCC) is a common, often lethal kidney cancer that originates in the renal cortex. Its incidence is rising, and major factors include smoking, obesity, and hypertension, though its etiology is uncertain. While surgery is effective for localized RCC, treatments for metastatic RCC have advanced significantly due to better diagnostic, prognostic, and predictive tools. Despite this progress, challenges remain, including long-term drug resistance and the complexity of RCC as a diverse group of diseases rather than a single entity.<h4>Objective</h4>The aim of this bibliometric review was a comprehensive analysis of the topics and trends in RCC research, offering a foundation for future investigations.<h4>Methods</h4>We used R "Bibliometrix" to conduct a bi2026-01-01T00:00:00Z2026 Jan2026-06-06T16:07:04.122Z2026-06-02T03:12:26.594ZS-EPMC128109514154425110.2196/78797