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  1. Basri R, Issrani R, Hua Gan S, Prabhu N, Khursheed Alam M
    Saudi Pharm J, 2021 Mar;29(3):264-268.
    PMID: 33981175 DOI: 10.1016/j.jsps.2021.02.002
    Stroke is a key cerebrovascular disease that is related to high morbidity and mortality in the globe. The Kingdom of Saudi Arabia (KSA) is not an exception where stroke is fast developing into a serious challenge due to the high mortality rate. Additionally, stroke presents a tremendous economic burden and has a devastating effect on the quality of lives of individuals. The number of stroke cases are increasing yearly, thus posing a major challenge to the health care system. Therefore, it is crucial to implement primary and secondary prevention strategies in the KSA. Nevertheless, as compared with developed countries, information on the prevalence, socio-demographic properties and prevention of stroke remains scarce that could be attributed to the shortage of research conducted in this specified region. The review is written to address the various aspects of stroke in the KSA, based on current literatures search using PubMed, Scopus, Web of Science and Google Scholar databases, to identify studies published since inception to Dec 2020.
  2. Abdul Aziz AA, Md Salleh MS, Mohamad I, Krishna Bhavaraju VM, Mazuwin Yahya M, Zakaria AD, et al.
    J Genet, 2018 Dec;97(5):1185-1194.
    PMID: 30555068
    Triple negative breast cancer (TNBC) is typically associated with poor and interindividual variability in treatment response. Cytochrome P450 family 1 subfamily B1 (CYP1B1) is a metabolizing enzyme, involved in the biotransformation of xenobiotics and anticancer drugs. We hypothesized that, single-nucleotide polymorphisms (SNPs), CYP1B1 142 C>G, 4326 C>G and 4360 A>G, and CYP1B1 mRNA expression might be potential biomarkers for prediction of treatment response in TNBC patients. CYP1B1 SNPs genotyping (76 TNBC patients) was performed using allele-specific polymerase chain reaction (PCR) and PCR-restriction fragment length polymorphism methods and mRNA expression of CYP1B1 (41 formalin-fixed paraffin embeddedblocks) was quantified using quantitative reverse transcription PCR. Homozygous variant genotype (GG) and variant allele (G) of CYP1B1 4326C>G polymorphism showed significantly higher risk for development of resistance to chemotherapy with adjusted odds ratio (OR): 6.802 and 3.010, respectively. Whereas, CYP1B1 142 CG heterozygous genotype showed significant association with goodtreatment response with adjusted OR: 0.199. CYP1B1 142C-4326G haplotype was associated with higher risk for chemoresistance with OR: 2.579. Expression analysis revealed that the relative expression of CYP1B1 was downregulated (0.592) in cancerous tissue compared with normal adjacent tissues. When analysed for association with chemotherapy response, CYP1B1 expression was found to be significantly upregulated (3.256) in cancerous tissues of patients who did not respond as opposed to those of patients who showed response to chemotherapy. Our findings suggest that SNPs together with mRNA expression of CYP1B1 may be useful biomarkers to predict chemotherapy response in TNBC patients.
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