Table 4

Cox regression models combining DHFR variants with other prognostic factors or at risk genotypes

VariableP
Model 1A 
    Protocol .14 
    Age .04 
    Risk .33 
    Cell type .26 
    Sex .39 
    WBC .02 
    DNA index .81 
    DHFR −317 .03 
Model 1B 
    Protocol .1 
    Age .04 
    Risk .32 
    Cell type .2 
    Sex .55 
    WBC .01 
    DNA index .9 
    DHFR −1610 .02 
Model 2 
    TS .002 
    CCND1 .03 
    DHFR *1 .02 
Model 3A 
    TS .003 
    CCND1 .055 
    DHFR *1 .025 
    Age .02 
    WBC .069 
Model 3B 
    Age .02 
    WBC .08 
    DHFR/TS/CCND1 <.001 
VariableP
Model 1A 
    Protocol .14 
    Age .04 
    Risk .33 
    Cell type .26 
    Sex .39 
    WBC .02 
    DNA index .81 
    DHFR −317 .03 
Model 1B 
    Protocol .1 
    Age .04 
    Risk .32 
    Cell type .2 
    Sex .55 
    WBC .01 
    DNA index .9 
    DHFR −1610 .02 
Model 2 
    TS .002 
    CCND1 .03 
    DHFR *1 .02 
Model 3A 
    TS .003 
    CCND1 .055 
    DHFR *1 .025 
    Age .02 
    WBC .069 
Model 3B 
    Age .02 
    WBC .08 
    DHFR/TS/CCND1 <.001 

The impact of DHFR genotypes on EFS was estimated by Cox regression analysis if other clinical prognostic factors (Model 1A and 1B), or genotypes within the same pathway previously shown to influence the ALL outcome (Model 2), were simultaneously taken into account for the analysis. For the third model, prognostic and genetic factors shown in Models 1 and 2 to influence ALL outcome were analyzed together, with the genotypes taken individually (3A) or combined (3B). The level of significance for each variable is given. Prognostic factors were categorized according to relapse risk prediction (“Methods”). Genetic variants were considered as dichotomous variables: event-predisposing or not, corresponding to presence or absence of DHFR haplotype *1, and CCND1 AA870 and TS 3R3R genotypes.

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