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pmid:40950674

A novel risk score model incorporating six co-stimulatory molecules for accurate prognosis prediction of laryngeal cancer.

Translational cancer research · 2025 doi:10.21037/tcr-2024-2447

Paper

partial

Experiment

partial

Data

partial

Analysis

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Execution

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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A novel risk score model incorporating six co-stimulatory molecules for accurate prognosis prediction of laryngeal cancer.
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10.21037/tcr-2024-2447
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40950674
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null
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Translational cancer research
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2025
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Statistical comparison of clinical information of samples in different subtypes
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The risk score model predicted 1-year survival in the TCGA dataset with an area under the curve (AUC) value of 0.870; validation using GSE27020 yielded an AUC of 0.736.
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least absolute shrinkage and selection operator (LASSO) algorithm
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