Dataset Information

The Impact of Flt3 Gene Mutations in Acute Promyelocytic Leukemia: A Meta-Analysis.

ABSTRACT: The association of FLT3 mutations with white blood cell (WBC) counts at diagnosis and early death was studied in patients with acute promyelocytic leukemia (APL). Publications indexed in databases of biomedical literature were analyzed. Potential publication bias was evaluated by analyzing the standard error in funnel plots using the estimated relative risk (RR). Mixed-effect models were used to obtain the consolidated RR. All analyses were conducted using the R statistical software package. We used 24 publications in the final meta-analysis. Of 1005 males and 1376 females included in these 24 publications, 645 had FLT3-ITD (internal tandem duplication) mutations. Information on FLT3-D835 mutations was available in 10 publications for 175 patients. Concurrent occurrence of the two mutations was rare. WBC count at diagnosis was ?10 × 109/L in 351 patients. For patients with the FLT3-ITD mutation, RR was 0.59 for overall survival (OS) and 1.62 for death during induction. For those with FLT3-D835 mutations, the RR was 0.50 for OS and 1.77 for death during induction. RR for WBC count ?10 × 109/L was 3.29 and 1.48 for patients with FLT3-ITD and FLT3-D835, respectively. APL patients with FLT3-ITD or FLT3-D835 are more likely to present with elevated WBC counts and poorer prognosis than those without these mutations.

SUBMITTER: Picharski GL

PROVIDER: S-EPMC6770268 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The Impact of <i>Flt3</i> Gene Mutations in Acute Promyelocytic Leukemia: A Meta-Analysis.

Picharski Gledson L GL Andrade Diancarlos P DP Fabro Ana Luiza M R ALMR Lenzi Luana L Tonin Fernanda S FS Ribeiro Raul C RC Figueiredo Bonald C BC

Cancers 20190905 9

The association of <i>FLT3</i> mutations with white blood cell (WBC) counts at diagnosis and early death was studied in patients with acute promyelocytic leukemia (APL). Publications indexed in databases of biomedical literature were analyzed. Potential publication bias was evaluated by analyzing the standard error in funnel plots using the estimated relative risk (RR). Mixed-effect models were used to obtain the consolidated RR. All analyses were conducted using the R statistical software packa ...[more]

PMID: 31492033

Similar Datasets

Project description:Childhood acute lymphoblastic leukemia (ALL) is characterized by recurrent genetic aberrations. The identification of those abnormalities is clinically important because they are considered significant risk-stratifying markers.There are insufficient data of cytogenetic profiles in Saudi Arabian patients with childhood ALL leukemia. We have examined a cohort of 110 cases of ALL to determine the cytogenetic profiles and prevalence of FLT3 mutations and analysis of the more frequently observed abnormalities and its correlations to other biologic factors and patient outcomes and to compare our results with previously published results.Patients-We reviewed all cases from 2007 to 2016 with an established diagnosis of childhood ALL. Of the 110 patients, 98 were B-lineage ALL and 12 T-cell ALL. All the patients were treated by UKALL 2003 protocol and risk stratified according previously published criteria. Cytogenetic analysis-Chromosome banding analysis and fluorescence in situ hybridization were used to detect genetic aberrations. Analysis of FLT3 mutations-Bone marrow or blood samples were screened for FLT3 mutations (internal tandem duplications, and point mutations, D835) using polymerase chain reaction methods.Cytogenetic analysis showed chromosomal anomalies in 68 out of 102 cases with an overall incidence 66.7%. The most frequent chromosomal anomalies in ALL were hyperdiploidy, t(9;22), t(12;21), and MLL gene rearrangements. Our data are in accordance with those published previously and showed that FLT3 mutations are not common in patients with ALL (4.7%) and have no prognostic relevance in pediatric patients with ALL. On the contrary, t(9;22), MLL gene rearrangements and hypodiploidy were signs of a bad prognosis in childhood ALL with high rate of relapse and shorter overall survival compared with the standard-risk group (P = .031).The event-free survival was also found to be worse (P = .040).Our data are in accordance with those published previously, confirming the overall frequency of cytogenetic abnormalities and their prognostic relevance.

Project description:In this series we described the gene expression profiles of 18 APL patients using a high density DNA-oligonucleotide microarray (Agilent) representing about 20.000 genes demonstrating the presence of a very uniform expression pattern of APL cases among which two mainly types of gene profiles were recognized by unsupervised analysis. Relationship between these two subgroups and the different clinical, haematological and molecular APL features, comprising FLT3 status, were investigated. To identify biologically meaningful subsets of APL, fluorescently-labelled cRNA was generated by in vitro transcription using Low RNA Input Fluorescent Linear Amplification Kit (Agilent Technologies) according to the manufacturer?s instructions. Amplified cRNA of each patient was labelled with cyanine 5-CTP and Human Universal Reference (Stratagene) with 3-CTP in each experiment. Samples were hybridized on Agilent Human 1A Oligo Microarray (V2), ink-jet printed microarray, comprising 20,173 (60-mer) experimentally validated oligonucleotide probes (features). Fluorescence data were analysed with Feature Extraction Software v.7.5 (Agilent Technologies). Log10 ratio of the dye-normalized Cy3 and Cy5 channel signals were calculated. Raw signal intensities from each scan were imported into the gene expression analysis software Luminator (Rosetta Biosoftware). Two-dimensional clustering analysis was performed with Rosetta Luminator using an agglomerative algorithm with average link heuristics and correlation with mean subtraction. Supervised classification of APL samples into categories based on gene expression profiles was performed using Bayesian classifier implemented by Rosetta Biosoftware. Resultant gene expression profiles were first analyzed using an unsupervised, agglomerative hierarchical clustering. The matrix view clearly evidenced the high grade of uniformity in gene expression pattern among APL patients being the majority of genes expressed at high (red colour) or low (green colour) levels relative to reference in all APL cases analyzed. This appearance of unsupervised matrix reflects the homogeneous nature of acute promyelocytic leukemia whose gene expression pattern definitely distinguishes it from all other types of acute myeloid leukemia. Beside the homogeneous pattern, subtle differences in gene expression had the strength to distinguish three clusters of APL patients (designed I, II, III). Comparisons between cluster I and cluster II patients clearly revealed a preferential distribution of FLT3 gene mutated cases in cluster I. Again, cluster I was related to microgranular morphology (M3v) (p=0.035) and short-type PML-RAR isoform (bcr3) (p=0.044). Furthermore cluster I was significantly associated with higher presentation circulant blast cell percentage (p=0.030) as well as hyperleucocitosis (p=0.009). To identify those genes distinguishing the FLT3-ITD leukemic cells from FLT3-WT, we applied a Bayesian classifier. 147 genes, significantly different among classes based on t-tests, were selected and included into the classifier. Among them, 92 genes were up-regulated in FLT3-ITD class and 55 were down-regulated. FLT3 internal tandem duplication gene expression signature consisted of several high expressed genes, among them we found genes that are involved in cytoskeleton organization, cell adhesion and migration, in proliferation and coagulation/inflammation pathways as well as down-regulated genes of myeloid granules and differentiation suggesting a role of FLT3 mutations in the pathogenesis and clinical manifestation of an APL subtype. SUPPLEMENTARY DATA:1) Anova gene list ITD, 2)Anova gene list M3 morphology, 3)Anova gene list PML/RARalpha isoforms (bcr), 4)Intersection gene list ITD_M3, 5) Intersection gene list ITD_bcr, 6)Intersection gene list M3_bcr, 7)Bayesian classifier gene list for FLT3-ITD vs FLT3-wt, 8)Bayesian classifier gene list for bcr1 vs bcr3

Dataset Information

The Impact of Flt3 Gene Mutations in Acute Promyelocytic Leukemia: A Meta-Analysis.

Publications

The Impact of <i>Flt3</i> Gene Mutations in Acute Promyelocytic Leukemia: A Meta-Analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets