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Table 3 Multivariate Cox regression for all three cohorts

From: Characterization and evaluation of gene fusions as a measure of genetic instability and disease prognosis in prostate cancer

 

TCGA_PRAD (n = 332, e = 42)

FFPE_Bx (combined) (n = 176, e = 75)

FF_RP (n = 40, e = 12)

total fusions

median

7

2

12

logHR (95% CI)

0.82 (0.13, 1.5)

0.53 (0.07, 0.99)

-0.46 (-1.66, 0.74)

p

0.0198

0.0236

0.45564

GGG

logHR (95% CI)

0.62 (0.32, 0.92)

0.67 (0.49, 0.85)

0.79 (0.28, 1.3)

p

4.79e-05

1.72e-13

0.00238

  1. Multivariate Cox regression with dichotomized numbers of fusions and continuous GGG. Columns represent the results per cohort, with all included TCGA_PRAD samples (n = 332, column 1), the combined FFPE_Bx dataset (n = 176, column 2), and the FF_RP tumor samples (n = 40, column 3). The rows represent the tested variables with their logHR, 95% confidence interval, and p-value. For the variable of total fusions, the median per dataset is recorded in the uppermost row
  2. logHR Logarithmic hazard ratio, CI Confidence interval, p pvalue