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. 2013 Mar;15(2):196–209. doi: 10.1016/j.jmoldx.2012.09.006

Table 6.

Cox proportional hazards analyses testing the count of CNV as a predictive variable for OS

Independent segments (n=9)
Independent CLL-specific segments (n=1)
HR 95% CI P variable P overall model (Likelihood ratio test) HR 95% CI P variable P overall model (Likelihood ratio test)
Count of CNV as a continuous variable 2.7 1.8–4.1 1.5 × 10−6 3.5 × 10−7 3.0 1.3–7.1 0.0133 0.0093

Count of CNV as a categorical variable 3.8 × 10−7 NA NA NA
 1 CNV 2.6 1.3–5.4 0.0083
 2 CNV 7.6 3.3–17.2 1.4 × 10−6

Count of CNV as a continuous variable compared to unfavorable cytogenetics 6.0 × 10−6 7.6 × 10−7 0.0173 0.0058
 Count of CNV 2.7 1.8–4.1 2.2 × 10−6 3.4 1.4–8.4 0.0066
 Del6q21 and/or del17p13 1.7 0.8–3.6 0.1630 2.1 1.0–4.5 0.0549

Count of CNV as a categorical variable compared to known prognostic variables 3.9 × 10−6 7.3 × 10−11 0.0449 1.2 × 10−6
 1 CNV 3.0 1.4–6.4 0.0036 2.7 1.1–6.7 0.0250
 2 CNV 7.6 3.1–18.4 7.4 × 10−6 NA NA NA
 Unmutated/GHV status 1.7 0.8–3.5 0.1537 2.2 1.1–4.5 0.0278
 High B2M 2.1 1.1–4.2 0.0246 2.2 1.2–4.3 0.0147
 Del6q21 and/or del17p13 4.0 1.8–9.0 0.0005 2.7 1.3–5.7 0.0104

CI, confidence interval; HR, hazard ratio; n, number of patients; NA, not applicable; p, p-value.

P-values for the significance of addition of the CNV count to clinical variables was tested using an analysis of deviance and is based on the χ2 statistic.