Additional chromosomal abnormalities detected by array comparative genomic hybridization in AML

WT1 Gene Mutations, rs16754 Variant, and WT1 Overexpression as Prognostic Factors in Acute Myeloid Leukemia Patients

(1) Background: The aim of our study was the complex assessment of WT1 variants and their expression in relation to chromosomal changes and molecular prognostic markers in acute myeloid leukemia (AML). It is the first multidimensional study in Polish AML patients; (2) Methods: Bone marrow aspirates of 90 AML patients were used for cell cultures (banding techniques and fluorescence in situ hybridization), and to isolate DNA (WT1 genotyping, array comparative genomic hybridization), and RNA (WT1 expression). Peripheral blood samples from 100 healthy blood donors were used to analyze WT1 rs16754; (3) Results: Allele frequency and distribution of WT1 variant rs16754 (A;G) did not differ significantly among AML patients and controls. Higher expression of WT1 gene was observed in AA genotype (of rs16754) in comparison with GA or GG genotypes—10,556.7 vs. 25,836.5 copies (p = 0.01), respectively. WT1 mutations were more frequent in AML patients under 65 years of age (p < 0.0001) and affected relapse-free survival (RFS). The presence of NPM1 or CEBPA mutations decreased the risk of WT1 mutation presence, odds ratio (OR) = 0.11, 95% CI 0.02−0.46, p = 0.002 or OR = 0.05, 95% CI 0.006−0.46, p = 0.002, respectively. We observed significantly higher WT1 expression in AML CD34+ vs. CD34−, −20,985 vs. 8304 (p = 0.039), respectively. The difference in WT1 expression between patients with normal and abnormal karyotype was statistically insignificant; (4) Conclusions: WT1 gene expression and its rs16754 variant at diagnosis did not affect AML outcome. WT1 mutation may affect RFS in AML.

Identification of clinically important chromosomal aberrations in acute myeloid leukemia by array-based comparative genomic hybridization

Array-based comparative genomic hybridization (aCGH) chromosomal analysis facilitates rapid detection of cytogenetic abnormalities previously undetectable by conventional cytogenetics. In this study, we analyzed 48 uniformly treated patients with acute myeloid leukemia (AML) by 44K aCGH and correlated the findings with clinical outcome. aCGH identified previously undetected aberrations, as small as 5 kb, of currently unknown significance. The 36.7 Mb minimally deleted region on chromosome 5 lies between 5q14.3 and 5q33.3 and contains 634 genes and 15 microRNAs, whereas loss of chromosome 17 spans 3194 kb and involves 342 genes and 12 microRNAs. Loss of a 155 kb region on 5q33.3 (p < 0.05) was associated with achievement of complete remission (CR). In contrast, loss of 17p11.2-q11.1 was associated with a lower CR rate and poorer overall survival (Kaplan-Meier analysis, p < 0.0096). aCGH detected loss of 17p in 12/48 patients as compared to 9/48 by conventional karyotyping. In conclusion, aCGH analysis adds to the prognostic stratification of patients with AML.

Identifying the similarities and differences between single nucleotide polymorphism array (SNPa) analysis and karyotyping in acute myeloid leukemia and myelodysplastic syndromes

Objective

To standardize the single nucleotide polymorphism array (SNPa) method in acute myeloid leukemia/myelodysplastic syndromes, and to identify the similarities and differences between the results of this method and karyotyping.

Methods

Twenty-two patients diagnosed with acute myeloid leukemia and three with myelodysplastic syndromes were studied. The G-banding karyotyping and single nucleotide polymorphism array analysis (CytoScan^® HD) were performed using cells from bone marrow, DNA extracted from mononuclear cells from bone marrow and buccal cells (BC).

Results

The mean age of the patients studied was 54 years old, and the median age was 55 years (range: 28–93). Twelve (48%) were male and 13 (52%) female. Ten patients showed abnormal karyotypes (40.0%), 11 normal (44.0%) and four had no mitosis (16.0%). Regarding the results of bone marrow single nucleotide polymorphism array analysis: 17 were abnormal (68.0%) and eight were normal (32.0%). Comparing the two methods, karyotyping identified a total of 17 alterations (8 deletions/losses, 7 trissomies/gains, and 2 translocations) and single nucleotide polymorphism array analysis identified a total of 42 alterations (17 losses, 16 gains and 9 copy-neutral loss of heterozygosity).

Conclusion

It is possible to standardize single nucleotide polymorphism array analysis in acute myeloid leukemia/myelodysplastic syndromes and compare the results with the abnormalities detected by karyotyping. Single nucleotide polymorphism array analysis increased the detection rate of abnormalities compared to karyotyping and also identified a new set of abnormalities that deserve further investigation in future studies.

Single-nucleotide polymorphism-array improves detection rate of genomic alterations in core-binding factor leukemia

Acute myeloid leukemia (AML) is a group of clonal diseases, resulting from two classes of mutation. Investigation for additional abnormalities associated with a well-recognized subtype, core-binding factor AML (CBF-AML) can provide further understanding and discrimination to this special group of leukemia. In order to better define genetic alterations in CBF-AML and identify possible cooperating lesions, a single-nucleotide polymorphism-array (SNP-array) analysis was performed, combined to KIT mutation screening, in a set of cases. Validation of SNP-array results was done by array comparative genomic hybridization and FISH. Fifteen cases were analyzed. Three cases had microscopic lesions better delineated by arrays. One case had +22 not identified by arrays. Submicroscopic abnormalities were mostly non-recurrent between samples. Of relevance, four regions were more frequently affected: 4q28, 9p11, 16q22.1, and 16q23. One case had an uncovered unbalanced inv(16) due to submicroscopic deletion of 5´MYH11 and 3´CBFB. Telomeric and large copy number neutral loss of heterozygosity (CNN-LOH) regions (>25 Mb), likely representing uniparental disomy, were detected in four out of fifteen cases. Only three cases had mutation on KIT gene, enhancing the role of abnormalities by SNP-array as presumptive cooperating alterations. Molecular karyotyping can add valuable information to metaphase karyotype analysis, emerging as an important tool to uncover and characterize microscopic, submicroscopic genomic alterations, and CNN-LOH events in the search for cooperating lesions.