Impact of MLL::AF9 Gene Rearrangement on Survival of Acute Myeloid Leukaemia Patients: An Insight into Pakistani Population
Year: 2024
Type: article
Study design: Observational Study
Abstract: OBJECTIVE: To ascertain the frequency of the MLL::AF9 gene rearrangement and its association with survival in Pakistani patients suffering from acute myeloid leukaemia (AML). STUDY DESIGN: Analytical study. Place and Duration of the Study: Department of Haematology, National Institute of Blood Diseases and Bone Marrow Transplantation, Karachi, Pakistan, from 2015 to 2020. METHODOLOGY: Patients without a history of past AML chemotherapy, aged from 10 to 75 years, were included. Individuals with metastatic cancer, chronic myeloid leukaemia, or other haematological conditions were excluded. Identifying the MLL::AF9 gene involved RNA extraction, cDNA synthesis, and Real-time PCR amplification. The Chi-square test was used to examine the relationship between survival and the MLL::AF9 mutation. A Welch two-sample t-test was used to evaluate survival days depending on the MLL::AF9 gene rearrangement, while ANOVA was used to analyse survival days across various death statuses. RESULTS: The mean age of 130 patients was 36.65 ± 13.01 years, with 64.62% being males. The most common leukaemia type was AML-M2 (n = 32, 24.62%). During the study follow-up, 22.31% were still alive, 40.77% died, and the status of 36.92% were unknown. MLL::AF9 gene rearrangement was present in 11.54%. The group with MLL::AF9 gene rearrangement had significantly longer mean 'survival days' (1,542.33 ± 926.07) compared to the group without the gene rearrangement (206.42 ± 359.57, p <0.001). CONCLUSION: MLL-AF9 mutation was present in 11.54%. Age and MLL::AF9 gene rearrangement were significant predictors of survival in leukaemia patients. KEY WORDS: Acute myeloid leukaemia, MLL::AF9, Gene rearrangement, Survival.
Authors: Muhammad Tariq, Sadaf Shahab, Javeria Rauf Saeed, Zeeshan Hussain, Uzma Zaidi, Tasneem Farzana, Sultan Ahmad
Language: English
Subfield: Hematology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4394011971