Emerging trends and research landscape of the tumor microenvironment in head-and-neck cancer: A comprehensive bibliometric analysis

Head-and-neck squamous cell carcinoma (HNSCC) is a complex malignancy characterized by a highly heterogeneous tumor microenvironment (TME) that influences tumor progression, metastasis, and therapeutic resistance. Despite significant advancements in understanding HNSCC at the molecular level, comprehensive analyses of TME-related research within this domain remain limited. Hence, this study presents a bibliometric analysis of TME research in HNSCC, synthesizing data on publication trends, citation patterns, collaborative networks, and emerging research themes. The findings reveal an exponential growth in TME-related publications, reflecting a rising focus on immunotherapy, stromal biology, and molecular biomarkers. Medicine and molecular biology dominate the research output, with interdisciplinary collaborations contributing to innovative therapeutic strategies. Key themes include immune resistance, extracellular matrix modulation, and the role of stromal components, like cancer-associated fibroblasts, in shaping therapeutic outcomes. Emerging topics, such as novel cell death pathways (e.g., cuproptosis and pyroptosis) and artificial intelligence-driven prognostics, highlight future directions. Citation networks emphasize the centrality of immunotherapy and precision medicine, with leading institutions and journals playing pivotal roles in advancing the field. This analysis underscores the importance of interdisciplinary research and highlights critical gaps, offering a roadmap for future investigations to improve clinical outcomes through targeted TME manipulation in HNSCC.

Authors

Publication Details

Journal
Cancer Plus
Published
2025-04-08
DOI
https://doi.org/10.36922/cp025060008
Citations
8
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
10.88
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article

Emerging trends and research landscape of the tumor microenvironment in head-and-neck cancer: A comprehensive bibliometric analysis

Uddalak Das
8 citations
Cancer Plus
Radiomics and Machine Learning in Medical Imaging
10.88
article

Emerging trends and research landscape of the tumor microenvironment in head-and-neck cancer: A comprehensive bibliometric analysis

Uddalak Das
article en
8 citations

Abstract

Head-and-neck squamous cell carcinoma (HNSCC) is a complex malignancy characterized by a highly heterogeneous tumor microenvironment (TME) that influences tumor progression, metastasis, and therapeutic resistance. Despite significant advancements in understanding HNSCC at the molecular level, comprehensive analyses of TME-related research within this domain remain limited. Hence, this study presents a bibliometric analysis of TME research in HNSCC, synthesizing data on publication trends, citation patterns, collaborative networks, and emerging research themes. The findings reveal an exponential growth in TME-related publications, reflecting a rising focus on immunotherapy, stromal biology, and molecular biomarkers. Medicine and molecular biology dominate the research output, with interdisciplinary collaborations contributing to innovative therapeutic strategies. Key themes include immune resistance, extracellular matrix modulation, and the role of stromal components, like cancer-associated fibroblasts, in shaping therapeutic outcomes. Emerging topics, such as novel cell death pathways (e.g., cuproptosis and pyroptosis) and artificial intelligence-driven prognostics, highlight future directions. Citation networks emphasize the centrality of immunotherapy and precision medicine, with leading institutions and journals playing pivotal roles in advancing the field. This analysis underscores the importance of interdisciplinary research and highlights critical gaps, offering a roadmap for future investigations to improve clinical outcomes through targeted TME manipulation in HNSCC.

Cancer PlusVol. 7(1)
Openalex Percentile: Top 1%
Radiomics and Machine Learning in Medical Imaging
10.88
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