Precise predictions of whether a tumor is likely to spread would help clinicians and patients choose the best course of treatment. But current methods fall short of the precision needed. New research reveals that profiling primary tumor samples using genomic technologies can improve the accuracy of breast cancer survival predictions compared to clinical information alone.
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