Comparison of 5 and 10 year outcomes for usual care vs. genomics-based care decisions using individual level probabilities.

<p>Results are presented for the Mayo Clinic and TJU cohorts. McNemar’s test was used to test for significant differences between usual care and GC-based treatment outcomes for each cohort.</p><p>BCR = biochemical recurrence; MET = metastasis; GC = genomic classifier.</p><p>Comparison of 5 and 10 year outcomes for usual care vs. genomics-based care decisions using individual level probabilities.</p

Descriptions of patient characteristics for each cohort.

<p>SD = standard deviation; ECE = extracapsular extension; SVI = seminal vesicle invasion; PSM = positive surgical margin; LNI = lymph node involvement; GC = genomic classifier; TJU = Thomas Jefferson University; Ref. = reference</p><p>*Note, three patients were excluded from this original cohort due to unknown ECE status; Overall cohort metastatic risk, range of risks for cohort, and proportion classified as high risk according to GC was based on the reweighted cohort of 808 patients from the original cohort of 216 patients.</p><p>Descriptions of patient characteristics for each cohort.</p

Simplified state transition diagram representing the treatment decisions and health state transitions post radical prostatectomy.

<p>NED represents patients with no evidence of disease.</p

Time in life years (LYs) in states (Subfigure A), and quality-adjusted life years (QALYs) in states (Subfigure B) for the Mayo Clinic Cohort. GC-based treatment refers to treatment decisions made based upon the genomic risk classifier assay.

<p>BCR = biochemical recurrence; NED = no evidence of disease; GC = genomic classifier.</p

Comparison of 5 and 10 year outcomes for population level probabilities vs. individual level probabilities using usual care treatment.

<p>Results are presented for the Mayo Clinic and TJU cohorts.</p><p>Comparison of 5 and 10 year outcomes for population level probabilities vs. individual level probabilities using usual care treatment.</p