Age-Related Co-Expression of BCOR and BCORL1 mRNA in Acute Myeloid Leukemia.

BACKGROUND: Acute myeloid leukemia (AML) is an aggressive hematological malignancy caused by a variety of genetic abnormalities and epigenetic dysregulation. The incidence of AML is strongly related to age, with the highest incidence rates being in older adults. The loss of function mutations in BCOR and BCORL1 genes have been identified in AML. BCL6 corepressor (BCOR) and BCL6 corepressor like 1 (BCORL1) are important epigenetic regu-lators as a member of Polycomb repressive complex 1 (PRC1.1), involved in histone modification processes. METHODS: We analyzed the BCOR and BCORL1 mRNA expression in 74 adult and 22 pediatric patients with AML by Real-Time quantitative PCR in this study. RESULTS: Our results indicated that both BCOR and BCORL1 mRNA expressions decrease with age (p = 0.009 and p = 0.008, respectively) and there is a positive correlation between BCOR and BCORL1 mRNA expression (p < 0.001). BCOR and BCORL1 mRNA expressions were not significantly different in both adult and pediatric patients with AML compared to control (p > 0.05). CONCLUSIONS: Our findings indicate that expression of BCOR and BCORL1 mRNA are down-regulated with age. The increase in AML incidence with age suggests that age-associated BCOR and BCORL1 down-regulation might potentially contribute to age-related epigenetic alterations and form a predisposing condition for the development of elderly AML.

Mitochondrial mutations in patients with congenital heart defects by next generation sequencing technology.

It has been shown that mitochondrial deoxyribo nucleic acid mutations may play an important role in the development of cardiomyopathy, and various types of cardiomyopathy can be attributed to disturbed mitochondrial oxidative energy metabolism. Several studies have described many mutations in mitochondrial genes encoding for subunits of respiratory chain complexes. Thus, recent studies confirm that pathologic mitochondrial deoxyribo nucleic acid mutations are a major reason of diseases and determining them by next-generation sequencing will improve our understanding of dysregulation of heart development. To analyse mitochondrial deoxyribo nucleic acid mutations, the entire mitochondrial deoxyribo nucleic acid was amplified in two overlapping polymerase chain reaction fragments from the cardiac tissue of the 22 patients with congenital heart disease, undergoing cardiac surgery. Mitochondrial deoxyribo nucleic acid was deep sequenced by next-generation sequencing. A total of 13 novel mitochondrial deoxyribo nucleic acid mutations were identified in nine patients. Of the patients, three have novel mutations together with reported cardiomyopathy mutations. In all, 65 mutations were found, and 13 of them were unreported. This study represents the most comprehensive mitochondrial deoxyribo nucleic acid mutational analysis in patients with congenital heart disease.

A novel ATP8 gene mutation in an infant with tetralogy of Fallot.

We report the case of a novel mitochondrial DNA mutation in the MT-ATP8 gene in an infant with tetralogy of Fallot. Next-generation sequencing was applied to sequence whole mitochondrial DNA of the patient. A known Leber's hereditary optic neuropathy-associated mutation (G9804A), a heteroplasmic T7501C mutation (17%), and a novel C8481 T Pro > Leu missense mutation in the MT-ATP8 gene was identified.

Upregulation of SPINK2 in acute myeloid leukemia.

Objectives: Acute myeloid leukemia (AML) is a highly heterogeneous disease. Although patients can be classified into risk groups based on their genetic changes, the prognosis of disease within these categories varies widely. This situation raises the need to search for new molecular markers related to AML. Serine peptidase inhibitor Kazal type 2 (SPINK2) has recently been reported to be upregulated in AML and associated with poor outcomes by meta-analysis and in a limited number of AML patients. Methods: We analyzed SPINK2 mRNA expression in 62 patients (45 adult and 17 pediatric) with AML and 11 cell lines using quantitative Real-Time PCR (qRT-PCR). SPINK2 protein level was determined using ELISA in cell lines. Results: We found that the expression of SPINK2 mRNA and protein levels in AML cell lines (HL60 and NB4) have increased compared to other cell lines (K562, Jurkat and NALM6, MCF7, HeLa, HUVEC, hFOB, 293T, U87). SPINK2 mRNA expression was upregulated in patients with AML compared to controls (p=0.004) and significantly lower in t(8;21)-positive patients compared to negative patients (p=0.0006). Conclusions: Our results suggest that SPINK2 serves an important role in AML development. Further studies are needed to evaluate SPINK2 expression in AML patients with t(8.21) and investigate to clarify its prognostic value in various subgroups of AML.

Investigation of Gene Expressions of Myeloma Cells in the Bone Marrow of Multiple Myeloma Patients by Transcriptome Analysis

Background: Multiple myeloma is a plasma cell dyscrasia characterized by transformation of B cells into malignant cells. Although there are data regarding the molecular pathology of multiple myeloma, the molecular mechanisms of the disease have not been fully elucidated. Aims: To investigate the gene expression profiles in bone marrow myeloma cells via RNA-sequencing technology. Study Design: Cell study. Methods: Myeloma cells from four patients with untreated multiple myeloma and B cells from the bone marrow of four healthy donors were sorted using a FACSAria II flow cytometer. The patient pool of myeloma cells and the control pool of B cells were the two comparative groups. A transcriptome analysis was performed and the results were analyzed using bioinformatics tools. Results: In total, 18.806 transcripts (94.4%) were detected in the pooled multiple myeloma patient cells. A total of 992 regions were detected as new exon candidates or alternative splicing regions. In addition, 490 mutations (deletions or insertions), 1.397 single nucleotide variations, 415 fusion transcripts, 132 frameshift mutations, and 983 fusions, which were reported before in the National Center for Biotechnology Information, were detected with unknown functions in patients. A total of 35.268 transcripts were obtained (71%) (25.355 transcripts were defined previously) in the control pool. In this preliminary study, the first 50 genes were analyzed with the MSigDB, Enrichr, and Panther gene set enrichment analysis programs. The molecular functions, cellular components, pathways, and biological processes of the genes were obtained and statistical values were determined using bioinformatics tools and are presented as a supplemental file. Conclusion: EEF1G, ITM2C, FTL, CLPTM1L, and CYBA are identified as possible candidate genes associated with myelomagenesis.