Poor Prognostic Implication of ASXL1 Mutations in Korean Patients With Chronic Myelomonocytic Leukemia.
10.3343/alm.2018.38.6.495
- Author:
Hyun Young KIM
1
;
Ki O LEE
;
Silvia PARK
;
Jun Ho JANG
;
Chul Won JUNG
;
Sun Hee KIM
;
Hee Jin KIM
Author Information
1. Department of Laboratory Medicine & Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. heejinkim@skku.edu
- Publication Type:Original Article
- Keywords:
Chronic myelomonocytic leukemia;
ASXL1;
Risk stratification;
Prognostic models;
Mayo molecular model;
Korea
- MeSH:
Follow-Up Studies;
Humans;
Korea;
Leukemia, Myelomonocytic, Chronic*;
Models, Molecular;
Molecular Biology
- From:Annals of Laboratory Medicine
2018;38(6):495-502
- CountryRepublic of Korea
- Language:English
-
Abstract:
BACKGROUND: Molecular genetic abnormalities are observed in over 90% of chronic myelomonocytic leukemia (CMML) cases. Recently, several studies have demonstrated the negative prognostic impact of ASXL1 mutations in CMML patients. We evaluated the prognostic impact of ASXL1 mutations and compared five CMML prognostic models in Korean patients with CMML. METHODS: We analyzed data from 36 of 57 patients diagnosed as having CMML from January 2000 to March 2016. ASXL1 mutation analysis was performed by direct sequencing, and the clinical and laboratory features of patients were compared according to ASXL1 mutation status. RESULTS: ASXL1 mutations were detected in 18 patients (50%). There were no significant differences between the clinical and laboratory characteristics of ASXL1-mutated (ASXL1+) CMML and ASXL1-nonmutated (ASXL1−) CMML patients (all P>0.05). During the median follow-up of 14 months (range, 0–111 months), the overall survival (OS) of ASXL1+ CMML patients was significantly inferior to that of ASXL1− CMML patients with a median survival of 11 months and 19 months, respectively (log-rank P=0.049). An evaluation of OS according to the prognostic models demonstrated inferior survival in patients with a higher risk category according to the Mayo molecular model (log-rank P=0.001); the other scoring systems did not demonstrate a significant association with survival. CONCLUSIONS: We demonstrated that ASXL1 mutations, occurring in half of the Korean CMML patients examined, were associated with inferior survival. ASXL1 mutation status needs to be determined for risk stratification in CMML.