Author/Authors :
Teremmahi Ardestani, Majid Department of Hematology - Iran University of medical sciences, Tehran , Toosi, Bahareh Department of Hematology - Iran University of medical sciences, Tehran , Zaker, Farhad Department of Hematology - Iran University of medical sciences, Tehran , Rostami, Shahrbano Department of Hematology - Iran University of medical sciences, Tehran , Chahardouli, Bahram Cell Therapy and Hematopoietic Stem Cell Transplantation Research Center - Tehran University of medical sciences, Tehran , Mohammadi, Saeed Cell Therapy and Hematopoietic Stem Cell Transplantation Research Center - Tehran University of medical sciences, Tehran , Nikbakht, Mohsen Cell Therapy and Hematopoietic Stem Cell Transplantation Research Center - Tehran University of medical sciences, Tehran
Abstract :
Background: Somatic mutations in the hotspot region of the DNA-methyltransferase 3A (DNMT3A) gene were
recurrently identified in acute myeloid leukemia (AML). It is believed that DNMT3A mutations confer an
adverse prognosis for AML patients. These lines of evidence support the need for a rapid and cost-efficient
method for the detection of these mutations. The present study aimed to establish high resolution melting
(HRM) curve analysis as a rapid and sensitive test to identify DNMT3A gene mutations in AML patients.
Materials and Methods: In this retrospective cohort study, a total of 220 AML patients who referred to
hematology-oncology and stem cell transplantation centers (referral center) at Shariati hospital in Tehran, Iran,
were included. AML-M3 and therapy-related AML patients were excluded. The HRM assay was used to
identify R882 mutations in DNMT3A gene, and the results were compared with those of Sanger sequencing as
the gold standard test for detection of such mutations.
Results: Among 220 samples from AML patients, Sanger sequencing detected 25 (11.4%) patients as having
DNMT3A R882 mutations. HRM assay detected mutations in 23 (92%) samples and reported two false-negative
results that were related to poor-quality DNA samples. There was an overall good agreement between direct
sequencing and HRM assay (kappa value of 0.95) (p<0.001). Sensitivity assay showed that the analytical
detection limits for HRM were 10% for the detection of R882H mutation compared with Sanger sequencing at
25%. Both Sanger sequencing and HRM assay reported no false-positive results.
Conclusion: HRM curve analysis can be considered as a sensitive, fast, and high-throughput method for the
detection of DNMT3A R882 mutation in AML patients. These results validate HRM analysis as an alternative
method to Sanger sequencing because of its simplicity along with the lower cost and less required time.