Multidrug resistance member 1 (MDR1) is located on chromosome 7 and encodes P-glycoprotein, which is universally accepted as a drug resistance biomarker. MDR1 polymorphisms can alter protein expression or function, which has been previously reported to associate with various types of malignancies, such as colorectal cancer (CRC). Therefore, the present study aimed to determine the effects of MDR1 polymorphisms on drug responses of Saudi patients with CRC. DNA samples were obtained from 62 patients with CRC and 100 healthy controls. Genotypes and allele frequencies of MDR1 single nucleotide polymorphisms (SNPs) G2677T and T1236C were determined using the PCR-restriction fragment length polymorphism procedure. The results showed no significant differences in the genotype distribution and allele frequency of T1236C between patients with CRC and controls. However, G2677T was found to serve a highly significant role in protecting against the progression of CRC. In addition, none of the genotypes in SNPs T1236C and G2677T was found to affect chemoresistance to XELIRI and XELOX. In conclusion, although T1236C in the MDR1 gene is not associated with CRC risk, G2677T protects against the development of CRC. Neither of the MDR1 SNPs tested were associated with the risk of chemoresistance. Therefore, these two SNPs cannot be used as molecular markers for predicting drug response in patients with CRC.
Background: Depression is the most common mental health problem among the elderly, causing considerable morbidity worldwide, as well as increased healthcare costs. The purpose of this study was to determine the severity of depression among Saudi elderly women attending Quran Memorization Centers in the Kingdom of Saudi Arabia. Methods: We recruited 340 participants aged 65 years and older from 11 Quran Memorization Centers in the cities of Dammam, Khobar and Dhahran in the Eastern Province of Saudi Arabia. We used a structured interview questionnaire composed of socio-demographic characteristics and the Activity of Daily Living instrument to assess participants' physical, social, and health-status conditions. In addition, we used the English version of the Geriatric Depression Scale and the Arabic version of Montreal Cognitive Assessment as the main screening instruments for depression and cognitive impairment respectively. Results: Severity of depression among all participants was 42.1%. Low monthly income, the absence of a caregiver, diabetes, disability, and sleep disturbance were identified as common factors associated with depression. Conclusion: The present study showed that depression in elderly females attending these centers was high and associated with multiple medical and socioeconomic characteristics, which is a cause of concern.
Background: Colorectal cancer (CRC) is one of the most prevalent cancers in Saudi Arabia that is highly characterized with poor survival rate and advanced metastasis. Many studies contribute this poor outcome to the expression of ABC transporters on the surface of cancer cells.Objectives: In this study, two ABCB1 variants, C3435T and T129C, were examined to evaluate their contribution to CRC risk.Methods: 125 subjects (62 CRC patients and 63 healthy controls) were involved. The DNA was isolated and analyzed with PCR-RFLP to determine the different genotypes. The hardy-Weinberg equilibrium was performed to determine genotype distribution and allele frequencies. Fisher’s exact test (two-tailed) was used to compare allele frequencies between patients and control subjects. Results: The study showed that for SNP C3435T, the population of both CRC patients and controls were out of Hardy-Weinberg equilibrium. Genotype distribution for CRC patients was (Goodness of fit χ2 = 20, df= 1, P≤0.05), whereas, for the controls the genotype distribution was (Goodness of fit χ2 = 21, df =1, P ≤0.05). For SNP T129C, all subjects showed normal (TT) genotype.Conclusion: There was no significant association between ABCB1 3435C>T and 129T>C polymorphisms with CRC risk.Keywords: Colorectal cancer, ABCB1 gene, SNP C3435T, SNP T129C, PCR-RFLP, Saudi Arabia.
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