Frequency and prognostic influence of ASXL1 mutations and its potential association with BCR-ABL1 transcript type and smoke in chronic myeloid leukemia patients
Mohammad Hamid,1,*Golale rostami,2Aras Rafiq Mohammed,3Dlnya Assad,4
1. Pasteur Institute of Iran 2. Pasteur Institute of Iran (IPI),No. 69,Pasteur Ave, Tehran, Iran. 3. Department of Biology, College of Science, Sulaimani University, Sulaymanyah, Iraq 4. Department of Biology, College of Science, Sulaimani University, Sulaymanyah, Iraq
Introduction: Heterogeneous response to tyrosine kinase inhibitors (TKIs) and progress to advance phases, still is a
significant clinical problem. These are attributed to additional mutations in mutated non-ABL1 genes. We aimed
to determine prognostic effects of ASXL1 mutations as a biomarker for diverse treatment response and disease
progression to aid clinical management.
Methods: We performed ASXL1 gene mutational screening in 80 Ph+ CML patients at different phases and 10
healthy control by direct sequencing method. Multiplex and qRT-PCR, standard chromosome banding analysis
were used to determine BCR-ABL1 transcript type, molecular and cytogenetic responses respectively.
Results: Overall, four type mutations were identified in 11.25% of the patients. There was significant difference
regarding mutation frequency between chronic and advance phases (P = 0.0002), sokal risk score (P = 0.0001),
smoking (P = 0.02) and mean of during time of imatinib treatment (P = 0.009) between patients with and
without ASXL1 mutations. ASXL1 mutations frequency had a bias toward younger than older and women than
men, but no significant (P > 0.05). ASXL1 mutations were found more recurrently in patients carrying ABL1 KD
mutations (P = 0.003). The risk of increasing resistance and disease progression in patients with ASXL1 mutations was 32 and 63-fold higher than those without mutations, respectively (P = 0.01; P = 0.0002). The risk of
ASXL1 mutations presence in patients with b2a2 transcript type was much higher than b3a2 type (P = 0.02, OR
= 10).
Conclusion: Our findings suggest that ASXL1 mutations may be favorable predictive biomarkers to determine the
best TKI for each patient, and to prevent CML progression.