Figure 1.
Prediction model of TFR outcomes based on the lineage-specific assessment of residual disease.BCR::ABL1 DNA levels in total leukocytes and in sorted cell populations. Blue dots represent TFR, and red dots represent patients who relapsed. (A) Kaplan-Meier analysis of probability of relapse based on BCR::ABL1 DNA positivity/negativity in (B) total leukocytes (30%; 95% confidence interval [CI], 2-68; vs 70%; 95% CI, 54-81; hazard ratio log rank [HR], 3.648; 95% CI, 1.510-8.812), (C) granulocytes (49% [95% CI, 27-68] vs 100%; HR, 5.174 [95% CI, 1.417-18.89]), and (D) T cells (30% [95% CI, 4-65] vs 73% [95% CI, 59-83]; HR, 3.262 [95% CI, 1.376-7.730]). (E) Personalized yes/no binary prediction model of TFR outcomes based on BCR::ABL1 positivity/negativity in granulocytes and T cells. Gran, granulocytes; m, months; +, positive; –, negative.

Prediction model of TFR outcomes based on the lineage-specific assessment of residual disease.BCR::ABL1 DNA levels in total leukocytes and in sorted cell populations. Blue dots represent TFR, and red dots represent patients who relapsed. (A) Kaplan-Meier analysis of probability of relapse based on BCR::ABL1 DNA positivity/negativity in (B) total leukocytes (30%; 95% confidence interval [CI], 2-68; vs 70%; 95% CI, 54-81; hazard ratio log rank [HR], 3.648; 95% CI, 1.510-8.812), (C) granulocytes (49% [95% CI, 27-68] vs 100%; HR, 5.174 [95% CI, 1.417-18.89]), and (D) T cells (30% [95% CI, 4-65] vs 73% [95% CI, 59-83]; HR, 3.262 [95% CI, 1.376-7.730]). (E) Personalized yes/no binary prediction model of TFR outcomes based on BCR::ABL1 positivity/negativity in granulocytes and T cells. Gran, granulocytes; m, months; +, positive; , negative.

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