Analysis of Mutational Status of IGHV, and Cytokine Polymorphisms as Prognostic Factors in Chronic Lymphocytic Leukemia: The Romanian Experience.

The aim of the current study was to assess the associations between genetic risk factors (such as the mutational status of the IGHV gene and polymorphisms of the IL-10 and TNF-α genes) and CLL risk, prognosis, and overall survival. Another goal of this study was to evaluate the multivariate effect of the combination of multiple genetic risk factors (mutational status of the IGHV gene, somatic mutations, DNA CNVs, and cytokine SNPs) on the clinical characteristics and survival of patients. A total of 125 CLL patients and 239 healthy controls were included for comparative SNP analysis. IL-10 (rs1800896 and rs1800872) and TNF-α (rs361525 and rs1800750) SNPs and haplotypes were not associated with CLL risk. The absence of hypermutation in the IGHV gene was shown to be of important prognostic value, being associated with short OS. Further individual risk factors for short OS were an age above 65 years at diagnosis and the presence of somatic mutations and/or CNVs. In our multivariable analysis, the presence of somatic mutations and the IL-10 rs1800872 variant allele, and the association of CNVs with the IL-10 rs1800896 variant allele, were identified as risk factors for short OS. Moreover, the OS in unmutated IGHV patients was additionally affected (decreased) by the presence of CNVs and/or somatic mutations. Similarly, IL-10 rs1800896 modulated the OS in unmutated IGHV patients with CNVs.

From Descriptive to Functional Genomics of Leukemias Focusing on Genome Engineering Techniques.

Genome engineering makes the precise manipulation of DNA sequences possible in a cell. Therefore, it is essential for understanding gene function. Meganucleases were the start of genome engineering, and it continued with the discovery of Zinc finger nucleases (ZFNs), followed by Transcription activator-like effector nucleases (TALENs). They can generate double-strand breaks at a desired target site in the genome, and therefore can be used to knock in mutations or knock out genes in the same way. Years later, genome engineering was transformed by the discovery of clustered regularly interspaced short palindromic repeats (CRISPR). Implementation of CRISPR systems involves recognition guided by RNA and the precise cleaving of DNA molecules. This property proves its utility in epigenetics and genome engineering. CRISPR has been and is being continuously successfully used to model mutations in leukemic cell lines and control gene expression. Furthermore, it is used to identify targets and discover drugs for immune therapies. The descriptive and functional genomics of leukemias is discussed in this study, with an emphasis on genome engineering methods. The CRISPR/Cas9 system's challenges, viewpoints, limits, and solutions are also explored.

Copy Number Variations and Gene Mutations Identified by Multiplex Ligation-Dependent Probe Amplification in Romanian Chronic Lymphocytic Leukemia Patients.

Chronic lymphocytic leukemia (CLL) is known for its wide-ranging clinical and genetic diversity. The study aimed to assess the associations between copy number variations (CNVs) and various biological and clinical features, as well as the survival rates of CLL patients and to evaluate the effectiveness of the multiplex ligation-dependent probe amplification (MLPA) technique in CLL patients.DNA was extracted from 110 patients, and MLPA was performed. Mutations in NOTCH1, SF3B1, and MYD88 were also analyzed. A total of 52 patients showed at least one CNV, 26 had at least one somatic mutation, and 10 presented both, CNVs, and somatic mutations. The most commonly identified CNVs were del(114.3), del(11q22.3), and dup(12q23.2). Other CNVs identified included del(17p13.1), del(14q32.33), dup(10q23.31), and del(19p13.2). One patient was identified with concomitant trisomy 12, 13, and 19. NOTCH1 and SF3B1 mutations were found in 13 patients each, either alone or in combination with other mutations or CNVs, while MYD88 mutation was identified in one patient. Forty-two patients had normal results. Associations between the investigated CNVs and gene mutations and patients' overall survival were found. The presence of NOTCH1 and SF3B1 mutations or the combination of NOTCH1 mutation and CNVs significantly influenced the survival of patients with CLL. Both mutations are frequently associated with different CNVs. Del(13q) is associated with the longest survival rate, while the shortest survival is found in patients with del(17p). Even if MLPA has constraints, it may be used as the primary routine analysis in patients with CLL.

Association Analysis of TP53 rs1042522, MDM2 rs2279744, rs3730485, MDM4 rs4245739 Variants and Acute Myeloid Leukemia Susceptibility, Risk Stratification Scores, and Clinical Features: An Exploratory Study.

This study aimed to explore the associations between the TP53 rs1042522 (TP53 Arg72Pro), MDM2 rs2279744 (MDM2 309T>G), rs3730485 (MDM2 del1518), MDM4 rs4245739 (MDM4 34091 C>A) variants and odds of developing acute myeloid leukemia (AML) in a cohort of 809 adult subjects, consisting of 406 healthy controls and 403 AML patients. Model-based multifactor dimensionality reduction (MB-MDR) framework was used to identify the interactions of the mentioned variants and their association with AML risk. Associations of the mentioned variants with clinical features of AML, somatic mutations, and response to treatment were also evaluated. Significant associations between TP53 rs1042522 and MDM4 rs4245739 variants and AML susceptibility were noticed. MB-MDR and logistic regression analysis revealed an interaction between MDM2 rs2279744 and TP53 rs1042522, between MDM4 rs4245739 and MDM2 rs3730485, as well as significant associations with AML susceptibility. Several associations between the mentioned variants and clinical features of AML and somatic mutations were also noticed. Individually, the variant genotypes of TP53 rs1042522 and MDM4 rs4245739 were associated with AML susceptibility, but their interaction with MDM2 rs2279744 and rs3730485 modulated the risk for AML. The variant genotypes of TP53 rs1042522 were associated with adverse molecular and cytogenetic risk and also with NPM1 mutations.