Title |
FLT3 mutations in myelodysplastic syndrome and chronic myelomonocytic leukemia
|
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Published in |
American Journal of Hematology, October 2012
|
DOI | 10.1002/ajh.23345 |
Pubmed ID | |
Authors |
Naval Daver, Paolo Strati, Elias Jabbour, Tapan Kadia, Raja Luthra, Wang, Keyur Patel, Farhad Ravandi, Jorge Cortes, Xiao Qin Dong, Hagop Kantarjian, Guillermo Garcia‐Manero |
Abstract |
FMS-like tyrosine kinase III (FLT3) mutations occur in one-third of acute myeloid leukemia (AML) patients and predict poor outcome. The incidence and impact of FLT3 in myelodysplastic syndrome (MDS) and chronic myelomonocytic leukemia (CMML) is unknown. We conducted a retrospective review to identify WHO MDS and CMML patients with FLT3 mutations at diagnosis. A total of 2,119 patients with MDS and 466 patients with CMML were evaluated at MD Anderson between 1997 and 2010. Of these, FLT3 mutation analysis was performed on 1,232 (58%) MDS and 302 (65%) CMML patients. FLT3 mutations were identified in 12 (0.95%) MDS patients: 9 (75%) had FLT3-ITD mutation and 3 had FLT3-tyrosine kinase domain (TKD) mutation. MDS patients with FLT3 mutations were younger (P = 0.02) and presented as RAEB (P = 0.03) more frequently. Median overall survival (OS) for FLT3-mutated MDS patients was 19.0 months versus 16.4 months for FLT3-nonmutated MDS patients (P = 0.08). FLT3 mutations were identified in 13 (4.3%) CMML patients: 8 had FLT3-ITD mutation and 5 had FLT3-TKD mutation. There were no significant differences in demographic and disease characteristics among CMML patients with and without FLT3 mutations. Median OS for FLT3-mutated CMML patients was 10.8 months versus 21.3 months for FLT3-nonmutated CMML patients (P = 0.12). FLT3 occurs in MDS and CMML at a lower frequency than AML and does not predict poor outcome. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 3 | 75% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
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Scientists | 2 | 50% |
Members of the public | 2 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 1 | 1% |
Unknown | 68 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 12 | 17% |
Other | 10 | 14% |
Student > Ph. D. Student | 7 | 10% |
Student > Postgraduate | 7 | 10% |
Professor > Associate Professor | 5 | 7% |
Other | 10 | 14% |
Unknown | 18 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 25 | 36% |
Agricultural and Biological Sciences | 10 | 14% |
Biochemistry, Genetics and Molecular Biology | 7 | 10% |
Nursing and Health Professions | 1 | 1% |
Unspecified | 1 | 1% |
Other | 2 | 3% |
Unknown | 23 | 33% |