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    Polymorphisms in TP53, MDM2 Genes and Risk of Renal Cell Carcinoma in a Mongolian Population
    (Mongolian National University of Medical Sciences, 2025-03-31) ; ; ;
    Bayan-Undur Dagvadorj
    ;
    Objective: Renal cell carcinoma (RCC) is one of the most common malignancies of the kidney, with genetic factors playing a critical role in its development. Among the key genetic factors, TP53 and MDM2 gene polymorphisms have been implicated in cancer susceptibility, but their association with RCC remains unclear in different populations. This study evaluated the association of TP53 and MDM2 gene polymorphisms with RCC risk among Mongolian individuals. Method: In a hospital-based case-control study, 88 RCC cases and 88 matched controls were analyzed for TP53 and MDM2 variants using RFLP-PCR based genotyping. Results: The TP53 CG and CC genotypes and MDM2 TG and GG genotypes were not significantly associated with RCC risk when considered individually. However, individuals carrying the MDM2 GG and TP53 CC genotypes showed elevated RCC risk, although statistical significance was not reached. No strong interaction effects between genotypes and clinical risk factors such as smoking or urinary tract disease were observed. Conclusion: While TP53 and MDM2 polymorphisms showed trends toward association with RCC, larger studies are warranted to clarify their roles in genetic susceptibility within the Mongolian population.
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    Development of a risk model for bcr-free prognosis in prostate cancer patients linked to nucleotide metabolism
    (2025-03-03)
    Wei Liu
    ;
    ; ;
    Tao Feng
    ;
    Ling Qin
    Introduction: Prostate cancer is a prevalent malignancy among elderly men, with bioinformatics playing a crucial role in advancing diagnosis and treatment paradigms. Recent studies have highlighted the significance of nucleotide metabolism (NM) in Prostate cancer development and progression, linking it to aggressive cancer phenotypes characterized by uncontrolled proliferation and metastasis. Understanding NM-related genes (NMRGs) could provide insights into Prostate cancer pathogenesis and therapeutic targets.Methods: This paper analyzed TCGA-PRAD and GSE70769 datasets to identify critical modules associated with NMRGs using weighted gene co-expression network analysis (WGCNA). Differentially expressed genes (DEGs) between Prostate cancer and control samples were extracted from the TCGA-PRAD dataset, with overlaps identified as NM-related DEGs (DE-NMRGs). A biochemical recurrence (BCR)-free risk model was constructed from 396 Prostate cancer samples, and patients were classified into high- and low-risk groups based on median risk scores. A nomogram model integrating key prognostic factors was developed to predict BCR rates.Results: This paper identified 5 prognostic genes: RGS11, KAT2A, MXD3, TARBP1, and WFIKKN. The low-risk group exhibited significantly higher BCR-free survival rates, ESTIMATE scores, and immunophenoscore (IPS) scores compared to the high-risk group. Additionally, potential therapeutic agents, including KU-55933 and Wee1 inhibitors, were proposed. Conclusions: The identified prognostic genes present promising targets for Prostate cancer diagnosis and treatment, emphasizing their importance in predicting biochemical recurrence and tailoring personalized therapeutic strategies for patients.
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    Association of GSTM1, NAT2 Gene Polymorphisms and Susceptibility to Renal cell carcinoma in Mongolia: A Case-Control Study
    OBJECTIVE: This study aimed to assess the impact of glutathione S-transferase M1 (GSTM1) and N-acetyltransferase 2 (NAT2) polymorphisms on renal cell carcinoma (RCC) risk in Mongolian individuals, both independently and in combination with smoking and urinary tract diseases (UTDs). METHODS: This hospital-based case-control study included 88 histologically confirmed RCC patients and 88 cancer-free controls, matched by age and sex. Genotyping of GSTM1 and NAT2 polymorphisms was performed using PCR-RFLP. RESULTS: There were 34 men and 54 women, with a mean age of 51.9 ± 13.2 years. The results revealed that NAT2 low acetylator genotype significantly increased risk of RCC (cOR=2.077, 95%CI=1.072-4.025, p=0.03). Notably, WT/M3 genotype was significantly associated with RCC risk (aOR=9.1, 95% CI=1.138-72.783; p=0.037). GSTM1-positive genotype significantly increased RCC risk when combined with NAT2 low acetylator genotypes (cOR=3.304, 95% CI=1.311-8.327, p=0.011). Among smokers, individuals with GSTM1-null genotype had an increased risk of RCC (cOR=4.654, 95% CI=1.458-14.86, p=0.009). Additionally, NAT2 low acetylator genotype significantly increased RCC risk in smokers (cOR=6.596, 95% CI=2.26-19.255, p=0.001). Furthermore, both GSTM1 and NAT2 genotypes were associated with significantly increased RCC risk following stratification by a history of urinary tract diseases. CONCLUSION: The findings suggest that the NAT2 WT/M3 polymorphism, along with smoking and UTDs, contributes to RCC susceptibility in Mongolian cases.
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    Scopus© Citations 2
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    Social capital and quality of life among caregivers of children with Autism Spectrum Disorder in Mongolia: a cross-sectional study
    (2025-09)
    Munkhsaikhan, Yanjinlkham
    ;
    ; ; ;
    Bold, Solongo
    BACKGROUND: Caregivers of children with Autism Spectrum Disorder (ASD) tend to experience a low quality of life (QoL) due to caregiving burdens. Supporting these caregivers, social capital is expected to improve their overall well-being. However, there is limited research on the relationship between social capital and QoL among caregivers of children with ASD in low- and middle-income countries. This study explored this association in the context of caregivers of children with ASD in Mongolia. METHODS: This study conducted a cross-sectional online survey using a structured questionnaire. Caregivers with a child diagnosed with ASD were recruited through institutions related to ASD in Mongolia. Social capital was assessed by the Looman Social Capital Scale. QoL was assessed using the 26-item World Health Organization Quality of Life instrument. The association between social capital and QoL was identified by using multiple linear regression analysis. RESULTS: Among 216 caregivers, the majority of them were mothers (87.1%), married (88.0%), and had higher education (84.3%). Over half of the children (59.7%) were between 0-4 years old, and 24.5% of the total children were girls. Having a better social capital score was positively associated with psychological well-being (B = 0.57, 95% CI [confidence interval] 0.29 to 0.85), social relationship (B = 0.58, 95% CI 0.17 to 0.99), and environmental support (B = 0.70, 95% CI 0.37 to 1.02) domains of QoL. No evidence was found on the association between social capital and the physical health domain of QoL. Among the four domains of QoL, environmental support had the lowest score (mean: 36.5, standard deviation: 13.9). CONCLUSIONS: This study is the first to explore the association between social capital and QoL among caregivers of children with ASD in low- and middle-income countries. Social capital was positively associated with three QoL domains, excluding the physical domain, with caregivers-mostly mothers-scoring the lowest in environmental support. Their social capital and QoL scores were lower than those in previous studies. To address these issues, resource-limited countries should implement community-level initiatives, such as peer support groups, alongside developing healthcare systems and social welfare programs tailored for caregivers and children with ASD.
    Scopus© Citations 1
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    Scopus© Citations 47