Clustering-Based Method for Developing a Genomic Copy Number Alteration Signature for Predicting the Metastatic Potential of Prostate Cancer

Table 1

Clinical And histological characteristics of samples used to validate the metastatic potential score model.

	Case	Control
𝑛	13	39
Age
Mean	59.5	59.1
Median	61	58
Standard deviation	7.1	7.3
Range	46–67	46–73
Race
Asian	0 (0%)	1 (1.9%)
Black	1 (1.9%)	4 (7.7%)
Unknown	0 (0%)	2 (3.8%)
White Non-Hispanic	12 (23.1%)	32 (61.5%)
Clinical stage
T1C	4 (7.7%)	23 (44.2%)
T2	5 (9.6%)	16 (30.8%)
T3	4 (7.7%)	0 (0%)
T4	0 (0%)	0 (0%)
Biopsy Gleason score
5	0 (0%)	0 (0%)
6	4 (7.7%)	26 (50%)
7	7 (13.5%)	10 (19.2%)
8	2 (3.8%)	2 (3.8%)
9	0 (0%)	1 (1.9%)
Prediagnosis biopsy PSA (ng/mL)
Median	6.9	5.6
<4	2 (3.8%)	6 (11.5%)
4–10	6 (11.5%)	24 (46.2%)
>10	4 (7.7%)	7 (13.5%)
Pretreatment PSA (ng/mL)
Median	12.8	5.6
<4	2 (3.8%)	7 (13.5%)
4–10	4 (7.7%)	26 (50%)
>10	7 (13.5%)	6 (11.5%)