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  1. Hamzah S, Teh LK, Siew JS, Ahmad G, Wong HS, Zakaria ZA, et al.
    Can J Physiol Pharmacol, 2014 Jan;92(1):50-7.
    PMID: 24383873 DOI: 10.1139/cjpp-2013-0128
    Tacrolimus (FK506) is a calcineurin inhibitor with a narrow therapeutic index that exhibits large interindividual variation. Seventy-eight kidney transplant patients treated with tacrolimus were recruited to study the correlation of dose adjusted trough level (level/dose; L/D) of tacrolimus with CYP3A5 and ABCB1 genotypes, as well as the mRNA copy number of ABCB1 in blood. Patients were genotyped for ABCB1 (C1236T, G2677T/A, and C3435T) and CYP3A5 (G6986A), while ABCB1 mRNA transcript copy number was determined by absolute quantification (real-time PCR) in 46 patients. CYP3A5*3 genotypes were found to be a good predictor of tacrolimus L/D in kidney-transplant patients. Significantly higher L/D was observed among non-expressors (2.85, 95%: 2.05-3.70 (ng·mL(-1))/(mg·kg(-1))) as compared with the expressors (1.15, 95%: 0.95-1.80 (ng·mL(-1))/(mg·kg(-1))) of CYP3A5 (Mann-Whitney U test; P < 0.001). No correlation was observed between L/D and the ABCB1 genotypes. A significant inverse correlation of blood ABCB1 mRNA level with L/D was demonstrated (Spearman's Rank Order correlation; P = 0.016, rs = -0.348). However, in multiple regression analysis, only CYP3A5*3 genotype groups were found to be significantly correlated with tacrolimus L/D (P < 0.001). These findings highlight the importance of CYP3A5*3 pharmacogenotyping among kidney-transplant patients treated with tacrolimus, and confirm the role of blood cell P-glycoprotein in influencing the L/D for tacrolimus.
  2. Lila MA, Siew JS, Zakaria H, Saad SM, Ni LS, Abdullah JM
    Malays J Med Sci, 2004 Jan;11(1):9-23.
    PMID: 22977356 MyJurnal
    Gene therapy is a promising approach towards cancer treatment. The main aim of the therapy is to destroy cancer cells, usually by apoptotic mechanisms, and preserving others. However, its application has been hindered by many factors including poor cellular uptake, non-specific cell targeting and undesirable interferences with other genes or gene products. A variety of strategies exist to improve cellular uptake efficiency of gene-based therapies. This paper highlights advancements in gene therapy research and its application in relation to anti-cancer treatment.
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