Table 3

Multivariable analyses of OS of CA-AML patients

Patient setVariablesHR95% CIP
USA-set-I (n = 33)  miR-181a (high vs low) 0.70 0.48-1.02 .06 
 miR-181b (high vs low) 0.65 0.43-0.98 .04 
 miR-181c (high vs low) 0.79 0.57-1.09 .15 
 miR-181d (high vs low) 0.74 0.49-1.11 .15 
 Age, years ( ≥ 60 vs < 60) 3.20 0.98-10.45 .05 
 t(11q23) vs others 8.17 1.65-40.45 .01 
 t(15;17) vs others 0.12 0.02-0.61 .01 
USA-set-II (n = 53)  miR-181a (high vs low) 0.49 0.23-1.05 .07 
 miR-181b (high vs low) 0.41 0.20-0.85 .02 
 miR-181c (high vs low) 0.56 0.29-1.09 .09 
 miR-181d (high vs low) 0.49 0.23-1.03 .06 
 Age, years ( ≥ 60 vs < 60) 2.68 1.30-5.55 .008 
 t(11q23) vs others 3.03 1.34-6.87 .007 
Training sets (n = 183) USA-set-II-35S (n = 35) 4-gene signature (high vs low) 4.81 1.52-15.29 .008 
9-gene signature (high vs low) 6.21 1.95-19.80 .002 
Age (each 10-year increase) 1.46 1.20-1.80 < .001 
USA-set-III (n = 87) 4-gene signature (high vs low) 2.66 1.03-6.88 .04 
9-gene signature (high vs low) 1.80 0.63-5.15 .27 
PB blasts (high vs low) 5.66 1.87-17.16 .002 
t(15;17) vs others 0.38 0.15-0.97 .04 
Germany Set-I (n = 106) 4-gene signature (high vs low) 2.62 1.04-6.58 .04 
9-gene signature (high vs low) 1.95 0.84-4.55 .12 
del(7q)/−7 vs others 4.82 1.57-14.81 .006 
Complex vs others 11.73 2.62-52.49 .001 
log2(WBC) (each 2-unit increase) 2.94 1.37-6.31 .006 
Validation set (n = 271) Netherlands-set-I (n = 271) 4-gene signature (high vs low) 1.66 1.03-2.70 .04 
9-gene signature (high vs low) 1.54 1.00-2.37 .05 
Age (each 10-year increase) 3.06 1.17-7.99 .02 
Complex vs others 2.03 1.25-3.29 .004 
7q vs others 2.23 1.42-3.51 .0005 
3q vs others 1.76 1.00-3.11 .05 
t(8;21) vs others 0.37 0.19-0.71 .003 
inv(16) vs others 0.41 0.21-0.79 .008 
CBF AML vs others 0.41 0.21-0.79 .008 
FLT3-ITD vs others 1.74 1.09-2.79 .02 
FLT3-TKD vs others 0.44 0.21-0.90 .02 
CEBPA mutation vs wild-type 0.26 0.08-0.85 .03 
Patient setVariablesHR95% CIP
USA-set-I (n = 33)  miR-181a (high vs low) 0.70 0.48-1.02 .06 
 miR-181b (high vs low) 0.65 0.43-0.98 .04 
 miR-181c (high vs low) 0.79 0.57-1.09 .15 
 miR-181d (high vs low) 0.74 0.49-1.11 .15 
 Age, years ( ≥ 60 vs < 60) 3.20 0.98-10.45 .05 
 t(11q23) vs others 8.17 1.65-40.45 .01 
 t(15;17) vs others 0.12 0.02-0.61 .01 
USA-set-II (n = 53)  miR-181a (high vs low) 0.49 0.23-1.05 .07 
 miR-181b (high vs low) 0.41 0.20-0.85 .02 
 miR-181c (high vs low) 0.56 0.29-1.09 .09 
 miR-181d (high vs low) 0.49 0.23-1.03 .06 
 Age, years ( ≥ 60 vs < 60) 2.68 1.30-5.55 .008 
 t(11q23) vs others 3.03 1.34-6.87 .007 
Training sets (n = 183) USA-set-II-35S (n = 35) 4-gene signature (high vs low) 4.81 1.52-15.29 .008 
9-gene signature (high vs low) 6.21 1.95-19.80 .002 
Age (each 10-year increase) 1.46 1.20-1.80 < .001 
USA-set-III (n = 87) 4-gene signature (high vs low) 2.66 1.03-6.88 .04 
9-gene signature (high vs low) 1.80 0.63-5.15 .27 
PB blasts (high vs low) 5.66 1.87-17.16 .002 
t(15;17) vs others 0.38 0.15-0.97 .04 
Germany Set-I (n = 106) 4-gene signature (high vs low) 2.62 1.04-6.58 .04 
9-gene signature (high vs low) 1.95 0.84-4.55 .12 
del(7q)/−7 vs others 4.82 1.57-14.81 .006 
Complex vs others 11.73 2.62-52.49 .001 
log2(WBC) (each 2-unit increase) 2.94 1.37-6.31 .006 
Validation set (n = 271) Netherlands-set-I (n = 271) 4-gene signature (high vs low) 1.66 1.03-2.70 .04 
9-gene signature (high vs low) 1.54 1.00-2.37 .05 
Age (each 10-year increase) 3.06 1.17-7.99 .02 
Complex vs others 2.03 1.25-3.29 .004 
7q vs others 2.23 1.42-3.51 .0005 
3q vs others 1.76 1.00-3.11 .05 
t(8;21) vs others 0.37 0.19-0.71 .003 
inv(16) vs others 0.41 0.21-0.79 .008 
CBF AML vs others 0.41 0.21-0.79 .008 
FLT3-ITD vs others 1.74 1.09-2.79 .02 
FLT3-TKD vs others 0.44 0.21-0.90 .02 
CEBPA mutation vs wild-type 0.26 0.08-0.85 .03 

Variables for which P < .1 in univariable models (supplemental Tables 1 or 4) were included in multivariable analyses. Hazard ratios (HR) > 1 or < 1 indicate, respectively, a higher or lower risk of an event (death) for higher values of continuous variables and for the first category listed for categorical variables in OS models.

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