Bibliometric Analysis of Tumor Immunotherapy Studies

Area of Science:

• Oncology
• Immunology
• Bioinformatics

Background:

• Cancer immunotherapy has seen significant research growth.
• A comprehensive literature analysis was conducted to identify emerging research areas.
• The study focuses on recent advancements in the field.

Purpose of the Study:

• To identify key research hotspots in cancer immunotherapy.
• To analyze trends and future directions in the field.
• To classify emerging areas within tumor immunotherapy.

Main Methods:

• A systematic literature review of 2945 cancer immunotherapy articles from the past 3 years.
• Utilized BICOMB software for high-frequency word extraction and co-word matrix construction.
• Employed gCLUTO software for double-clustering and visual analysis to identify research hotspots.

Main Results:

• A text and co-word matrix of 40 high-frequency words from 2945 articles was generated.
• Hotspot analysis revealed 6 categories and 8 aspects of tumor immunotherapy.
• A trend towards polarization was observed, with PD1 blockers identified as a key area.

Conclusions:

• The study successfully classified research hotspots in tumor immunotherapy.
• PD1 blockers represent a significant area for future development in cancer immunotherapy.
• The findings provide strategic insights into the evolving landscape of cancer immunotherapy research.