Abstract
Novel individual biomarkers are needed to guide therapeutic decisions for patients with head and neck cancer. We report for the first time, granulomas of TREM2-expressing multinucleated giant macrophages in keratin-rich tumor niches, as a biomarker of favorable prognosis and developed a deep-learning model to automate its quantification on routinely stained pathological slides.
©2024 The Authors; Published by the American Association for Cancer Research.
MeSH terms
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Biomarkers, Tumor* / metabolism
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Giant Cells / metabolism
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Giant Cells / pathology
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Head and Neck Neoplasms* / diagnosis
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Head and Neck Neoplasms* / genetics
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Head and Neck Neoplasms* / metabolism
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Head and Neck Neoplasms* / pathology
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Humans
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Macrophages* / metabolism
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Membrane Glycoproteins* / metabolism
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Prognosis
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Receptors, Immunologic* / genetics
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Receptors, Immunologic* / metabolism
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Squamous Cell Carcinoma of Head and Neck* / genetics
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Squamous Cell Carcinoma of Head and Neck* / metabolism
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Squamous Cell Carcinoma of Head and Neck* / pathology
Substances
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Membrane Glycoproteins
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Biomarkers, Tumor
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Receptors, Immunologic
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TREM2 protein, human