Literature DB >> 28627830

FLT3-ITD Mutations in Egyptian Patients of Acute Myeloid Leukemia: Correlation with Cytogenetic, FAB Subgroups and Prognosis.

Shady Adnan-Awad, Ola Gaber, Soad A Eltokhy, Dalia Mourad, Mariam Amer, Eman Z Kandeel, Ihab Eldesouky.   

Abstract

BACKGROUND: FLT3-ITD mutations are common in AML subgroups, particularly in Acute Promyelocytic Leukemia (APL). It infers poor prognosis in AML patients; however, its prognostic value in APL is still controversial. We aimed to assess the distribution and prognostic value of FLT3-ITD mutation within AML subgroups, focusing on APL.
METHODS: In NCI, Cairo University, 346 newly diagnosed AML patients were included. Morphological, immunophenotypic and cytogenetic analysis were done at presentation and fixed follow-up points with monitoring in follow up visits of patients. FLT3-ITD mutations were detected using RT-PCR.
RESULTS: FLT3-ITD mutations were detected in 18.5% of AML patients with significant higher incidence in M3 patients (35.5%, p = 0.027) in comparison to other types. There was significant negative association between FLT3ITD mutations and CD34 expression (p = 0.026). FLT3 wild patients had a significantly better response on Day 35 than the mutant group (p = 0.046). Overall Survival (OS) of the wild group was significantly better than that of the mutant group (p = 0.003). In APL patients, OS of wild-FLT3 patients was significantly better than of those with mutant FLT3 (p = 0.018). In non-APL patients, favorable cytogenetic changes - t(8;21) and inv(16) - are more common in FLT3 wild group (12.8%) than in FLT3 mutant group (6.3%). In non-APL patients, FLT3-ITD mutation retained its adverse prognostic effect (p = 0.016). CD34 expression affected survival in both FLT3 mutant and wild groups.
CONCLUSIONS: We conclude that FLT3-ITD mutations infer poor prognostic effects both in AML patients generally and in the APL group specifically. CD34 may have a prognostic impact in FLT3-ITD mutant patients, which is to be further investigated.

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Year:  2017        PMID: 28627830     DOI: 10.7754/Clin.Lab.2017.170121

Source DB:  PubMed          Journal:  Clin Lab        ISSN: 1433-6510            Impact factor:   1.138


  2 in total

1.  Molecular Profiling of Kenyan Acute Myeloid Leukemia Patients.

Authors:  Mercy Gatua; Mohsen Navari; Matilda Ong'ondi; Noel Onyango; Serah Kaggia; Emily Rogena; Giuseppe Visani; Nicholas A Abinya; Pier Paolo Piccaluga
Journal:  Front Genet       Date:  2022-06-28       Impact factor: 4.772

2.  Combined Expression of CD34 and FLT3-Internal Tandem Duplication Mutation Predicts Poor Response to Treatment in Acute Myeloid Leukemia.

Authors:  Mona S Abdellateif; Amira B Kassem; Yomna M El-Meligui
Journal:  Int J Gen Med       Date:  2020-10-16
  2 in total

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