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Myeloproliferative Disease

Relationship between JAK2V617F mutation, allele burden and coagulation function in Ph-negative myeloproliferative neoplasms

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Figures & data

Table 1. The clinical characteristics of Ph-negative MPN patients.

Figure 1. The distribution of JAK2V617F mutation in different age groups.

Figure 1. The distribution of JAK2V617F mutation in different age groups.

Figure 2. The JAK2V617F mutation allele burden in ph-PMN patients was presented in (a). The JAK2V617F mutation allele burden between ET patients with vascular events and ET patients without vascular events were present in (b). The JAK2V617F mutation allele burden in the group age ≧65 were presented in (c). The JAK2V617F mutation allele burden in the group age <65 was presented in (d).

Figure 2. The JAK2V617F mutation allele burden in ph-PMN patients was presented in (a). The JAK2V617F mutation allele burden between ET patients with vascular events and ET patients without vascular events were present in (b). The JAK2V617F mutation allele burden in the group age ≧65 were presented in (c). The JAK2V617F mutation allele burden in the group age <65 was presented in (d).

Figure 3. Distribution of MPNs according to the JAK2V617F mutation allele burden.

Figure 3. Distribution of MPNs according to the JAK2V617F mutation allele burden.

Table 2. Hematological characteristics of MPN patients in this cohort.

Figure 4. Correlation of JAK2V617F mutation allele burden with PLT counts. Regression parameters and significance values are indicated.

Figure 4. Correlation of JAK2V617F mutation allele burden with PLT counts. Regression parameters and significance values are indicated.

Table 3. Coagulation function of the patients in this cohort.

Figure 5 . Correlation of JAK2V617F mutation allele burden with APTT. Regression parameters and significance values are indicated.

Figure 5 . Correlation of JAK2V617F mutation allele burden with APTT. Regression parameters and significance values are indicated.

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