Figure 2.
Cytogenetic abnormalities in GATA2 deficiency. (A) Cytogenetic findings. Percentages of patients with the indicated cytogenetic abnormalities. The number of patients with trisomy 8 or monosomy 7 includes all patients with this abnormality, independent of other abnormalities. “Other,” abnormalities other than trisomy 8 or monosomy 7; “complex,” more than 1 abnormality in the same patient, including trisomy 8 and/or monosomy 7. (B) Cytogenetics vs age. The age distribution of cytogenetic findings, with the mean ages and standard deviations indicated (ANOVA, P = .1069). (C) Cytogenetics vs survival. Kaplan-Meier survival probability as a function of cytogenetics. Classifications are as in panel A. Survival is from the initial sample collection to the end of the study. (D) Diagnosis vs survival. Kaplan-Meier survival probability as a function of bone marrow diagnosis. Patients with AML or CMML were combined because of the low number of cases. Each graph shows the survival time from sample collection until the end point. Mantel-Cox test significance is shown for survival probability among the samples.

Cytogenetic abnormalities in GATA2 deficiency. (A) Cytogenetic findings. Percentages of patients with the indicated cytogenetic abnormalities. The number of patients with trisomy 8 or monosomy 7 includes all patients with this abnormality, independent of other abnormalities. “Other,” abnormalities other than trisomy 8 or monosomy 7; “complex,” more than 1 abnormality in the same patient, including trisomy 8 and/or monosomy 7. (B) Cytogenetics vs age. The age distribution of cytogenetic findings, with the mean ages and standard deviations indicated (ANOVA, P = .1069). (C) Cytogenetics vs survival. Kaplan-Meier survival probability as a function of cytogenetics. Classifications are as in panel A. Survival is from the initial sample collection to the end of the study. (D) Diagnosis vs survival. Kaplan-Meier survival probability as a function of bone marrow diagnosis. Patients with AML or CMML were combined because of the low number of cases. Each graph shows the survival time from sample collection until the end point. Mantel-Cox test significance is shown for survival probability among the samples.

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