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Development of a Genomic Signature for Locoregional Failure after Radiation in the TCGA Head and Neck Cohort

      Locoregional failure (LRF) after definitive or adjuvant radiation is difficult to salvage and is associated with significant morbidity/mortality. We utilized machine-learning algorithms on gene expression data from TCGA Head and Neck Squamous Cell Carcinoma database to develop a signature predictive of LRF after radiation, so that these patients can be shunted to alternative treatment modalities.
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