Displaying publications 141 - 144 of 144 in total

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  1. Ismail NH, Mussa A, Zakaria NA, Al-Khreisat MJ, Zahidin MA, Ramli NN, et al.
    Biomedicines, 2022 Oct 31;10(11).
    PMID: 36359286 DOI: 10.3390/biomedicines10112767
    Multiple myeloma (MM) is an exceptionally complicated and heterogeneous disease that is caused by the abnormal proliferation of malignant monoclonal plasma cells initiated in the bone marrow. In disease progression, a multistep process including differentiation, proliferation, and invasion is involved. Despite great improvement in treatment outcomes in recent years due to the substantial discovery of novel therapeutic drugs, MM is still regarded as an incurable disease. Patients with MM are afflicted by confronting remission periods accompanied by relapse or progression outcomes, which inevitably progress to the refractory stage. In this regard, MM may need new medications or modifications in therapeutic strategies to overcome resistance. A variety of genetic abnormalities (e.g., point mutations, translocations, and deletions) and epigenetic changes (e.g., DNA methylation, histone modification, and non-coding RNA) contribute to the pathogenesis and development of MM. Here, we review the significant roles of epigenetic mechanisms in the development and progression of MM. We also highlight epigenetic pathways as potential novel treatment avenues for MM, including their interplay, use of epigenetic inhibitors, and major involvement in immuno-oncology.
  2. Zakaria NA, Rosle NA, Siti Asmaa MJ, Aziee S, Haiyuni MY, Samat NA, et al.
    Int J Lab Hematol, 2021 Dec;43(6):1451-1457.
    PMID: 34125992 DOI: 10.1111/ijlh.13628
    INTRODUCTION: Calreticulin (CALR) mutations in myeloproliferative neoplasms (MPN) have been reported to be key markers in the molecular diagnosis, particularly in patients lacking JAK2 V617F mutation. In most current reports, CALR mutations were analysed by either allele-specific PCR (AS-PCR), or the more expensive quantitative real-time PCR, pyrosequencing and next-generation sequencing. Hence, we report the use of an alternative method, the conformation sensitive gel electrophoresis (CSGE) for the detection of CALR mutations in BCR-ABL1-negative MPN patients.

    METHODS: Forty BCR-ABL1-negative MPN patients' DNA: 19 polycythemia vera (PV), 7 essential thrombocytosis (ET) and 14 primary myelofibrosis (PMF), were screened for CALR mutations by CSGE. PCR primers were designed to amplify sequences spanning between exons 8 and 9 to target the mutation hotspots in CALR. Amplicons displaying abnormal CSGE profiles by electrophoresis were directly sequenced, and results were analysed by BioEdit Sequence Alignment Editor v7.2.6. CSGE results were compared with AS-PCR and confirmed by Sanger sequencing.

    RESULTS: CSGE identified 4 types of mutations; 2 PMF patients with either CALR type 1 (c.1099_1150del52) or type 2 (c.1155_1156insTTGTC), 1 ET patient with nucleotide deletion (c.1121delA) and insertion (c.1190insA) and 1 PV patient with p.K368del (c.1102_1104delAAG) and insertion (c.1135insA) inframe mutations. Three patients have an altered KDEL motif at the C-terminal of CALR protein. In comparison, AS-PCR only able to detect two PMF patients with mutations, either type 1 and type 2.

    CONCLUSION: CSGE is inexpensive, sensitive and reliable alternative method for the detection of CALR mutations in BCR-ABL1-negative MPN patients.

  3. Hanafi S, Hassan R, Bahar R, Abdullah WZ, Johan MF, Rashid ND, et al.
    Am J Blood Res, 2014;4(1):33-40.
    PMID: 25232503
    The aim of this study was to adapt MARMS with some modifications to detect beta mutation in our cohort of thalassemia patients. We focused only on transfusion-dependent thalassemia Malay patients, the predominant ethnic group (95%) in the Kelantanese population. Eight mutations were identified in 46 out of 48 (95.83%) beta thalassemia alleles. Most of the patients (54.2%) were compound heterozygous with co-inheritance Cd 26 (G>A). The frequencies of spectrum beta chain mutation among these patients are presented in Table 2. Among the transfusion dependent beta thalassemia Malay patients studied, 26 patients were found to be compound heterozygous and the main alleles were Cd 26 (G>A). Compound heterozygous mutation of Cd 26 (G>A) and IVS 1-5 (G>C) were 12 (46.2%), Cd 26 (G>A) and Cd 41/42 (TTCT) were 9 (34.6%), Cd 26 (G>A) and IVS 1-1 (G>C) were 2 (7.7%) respectively. Meanwhile the minority were made of a single compound heterozygous of Cd 26 (G>A) and Cd 71/72, Cd 26 (>A) and Cd 17 (A>T), Cd 26 (G>A) and -28 (G>A) respectively. Twenty out of forty six patients were shown to have homozygous of IVS 1-5 (G>C) were 2 (10.0%), Cd 26 (G>A) were 15 (75.0%), Cd 19 (A>G) were 1 (5.0%), and IVS 1-1 (G>T) were 2 (10.0%). The beta chain mutations among the Kelantanese Malays followed closely the distribution of beta chain mutations among the Thais and the Malays of the Southern Thailand. The G-C transition at position 5 of the IVS 1-5 mutation was predominant among the Malay patients. In conclusion, this method has successfully identified the mutation spectrum in our cohort of transfusion-dependent beta thalassemia patients, and this method is equally effective in screening for mutation among thalassemia patients.
  4. Halim-Fikri H, Etemad A, Abdul Latif AZ, Merican AF, Baig AA, Annuar AA, et al.
    BMC Res Notes, 2015;8:176.
    PMID: 25925844 DOI: 10.1186/s13104-015-1123-y
    The Malaysian Node of the Human Variome Project (MyHVP) is one of the eighteen official Human Variome Project (HVP) country-specific nodes. Since its inception in 9(th) October 2010, MyHVP has attracted the significant number of Malaysian clinicians and researchers to participate and contribute their data to this project. MyHVP also act as the center of coordination for genotypic and phenotypic variation studies of the Malaysian population. A specialized database was developed to store and manage the data based on genetic variations which also associated with health and disease of Malaysian ethnic groups. This ethnic-specific database is called the Malaysian Node of the Human Variome Project database (MyHVPDb).
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