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Basal Cell Carcinoma Research Landscape Overview via Latent Dirichlet Allocation and HJ-Biplot Analysis
Karime Montes-Escobar1,2, Javier de La Hoz-Maestre3, Humberto Llinás-Solano4
1Departamento de Ciencias Agrícolas, Facultad de Ingeniería Agrícola, Universidad Técnica de Manabí, Portoviejo 130105, Ecuador.
Cancers
|July 28, 2026
Summary
Basal cell carcinoma (BCC) research has evolved over 50 years, shifting focus towards advanced diagnostics and understanding Hedgehog signaling pathways. Future research will integrate AI for improved patient outcomes.
Area of Science:
- Dermatology
- Oncology
- Bibliometrics
Background:
- Basal cell carcinoma (BCC) is the most common human cancer, with rising incidence and significant morbidity.
- BCC's destructive nature necessitates ongoing research despite its low mortality rate.
Purpose of the Study:
- To review the global research landscape of Basal cell carcinoma (BCC) from 1972 to 2023.
- To identify key themes, authors, countries, and journals contributing to BCC research advancements.
Main Methods:
- Bibliometric analysis using the R package Bibliometrix.
- Latent Dirichlet Allocation (LDA) for thematic structure discovery.
- HJ-Biplot for visualizing scientometric and bibliometric data.
Main Results:
- Identified 32 unique themes in BCC research over five decades.
- Research shifted from basic characterization to advanced diagnostics (dermoscopy, RCM) and Hedgehog signaling.
- Current focus includes patient treatment (surgery, radiotherapy, topical agents) and emerging trends.
Conclusions:
- Emerging BCC research avenues include advanced diagnostics and understanding genetic underpinnings.
- Future research should explore patient quality of life post-surgery and the role of artificial intelligence (AI).
- Integrating AI and deeper etiological knowledge will advance evidence-based BCC research.
