Table 2

Correlation between the expression of p16INK4A with age at diagnosis in leukemic subgroups

AML subgroupnPρ
All patients 525 < .001 −0.202 
Favorable risk 89 .749 0.034 
Intermediate risk 331 < .001 −0.243 
Unfavorable risk 85 < .001 −0.397 
NPM1 mutation 159 .125 −0.122 
NPM1 wild type 366 < .001 −0.227 
FLT-3 with ITD 143 < .001 −0.328 
FLT-3 without ITD 382 .003 −0.154 
NPM1 mutation with FLT-3 ITD 82 .009 −0.289 
NPM1 mutation without FLT-3 ITD 77 .529 0.073 
NPM1 wild type with FLT-3 ITD 61 .009 −0.334 
NPM1 wild type without FLT-3 ITD 305 < .001 −0.206 
AML subgroupnPρ
All patients 525 < .001 −0.202 
Favorable risk 89 .749 0.034 
Intermediate risk 331 < .001 −0.243 
Unfavorable risk 85 < .001 −0.397 
NPM1 mutation 159 .125 −0.122 
NPM1 wild type 366 < .001 −0.227 
FLT-3 with ITD 143 < .001 −0.328 
FLT-3 without ITD 382 .003 −0.154 
NPM1 mutation with FLT-3 ITD 82 .009 −0.289 
NPM1 mutation without FLT-3 ITD 77 .529 0.073 
NPM1 wild type with FLT-3 ITD 61 .009 −0.334 
NPM1 wild type without FLT-3 ITD 305 < .001 −0.206 

Spearman rank correlation coefficients between the continuous variables age and the averaged p16INK4A probe sets (n = 3) were calculated.

or Create an Account

Close Modal
Close Modal