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This review aims to synthesize current knowledge on tumor budding, assessing its methodologies, biological foundations, and clinical implications.

Research advances in tumor budding in malignant tumors

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Review highlights tumor budding's role in prognosis and assessment in malignant tumors, suggesting clinical integration is needed.

This review aims to synthesize current knowledge on tumor budding, assessing its methodologies, biological foundations, and clinical implications.
Review of existing literature on tumor budding and its assessment methods.
Discussion of the International Tumor Budding Consensus Conference criteria and its application across various malignancies.
Evaluation of the biological mechanisms associated with tumor budding, including epithelial-mesenchymal transition and the tumor microenvironment.
Tumor budding is a significant prognostic factor linked to worse survival outcomes and adverse clinical features like lymph node metastasis.
High-grade tumor budding is consistently correlated with aggressive tumor characteristics in various cancers.
Artificial intelligence may improve tumor budding assessment, enhancing diagnostic accuracy and standardization.

WANG et al. (2026) studied this question.

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View Full Paper

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Authors

Review highlights tumor budding's role in prognosis and assessment in malignant tumors, suggesting clinical integration is needed.

This review aims to synthesize current knowledge on tumor budding, assessing its methodologies, biological foundations, and clinical implications.
Review of existing literature on tumor budding and its assessment methods.
Discussion of the International Tumor Budding Consensus Conference criteria and its application across various malignancies.
Evaluation of the biological mechanisms associated with tumor budding, including epithelial-mesenchymal transition and the tumor microenvironment.
Tumor budding is a significant prognostic factor linked to worse survival outcomes and adverse clinical features like lymph node metastasis.
High-grade tumor budding is consistently correlated with aggressive tumor characteristics in various cancers.
Artificial intelligence may improve tumor budding assessment, enhancing diagnostic accuracy and standardization.

WANG et al. (2026) studied this question.

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