In perhaps the largest-scale evaluation of its kind, a study of 815 patients across 15 cancer types reveals that compared to genomic analysis of tumors alone, analysis of both tumor and normal tissue from the same patient more accurately identifies cancer-causing mutations that may have importance for relevant therapies.
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