Bioinformatics analysis and experimental validation reveal that CDC20 overexpression promotes bladder cancer progression and potential underlying mechanisms.

BACKGROUND: Bladder cancer is a prevalent malignancy. CDC20, a pivotal cell cycle regulator gene, plays a significant role in tumour cell proliferation, but its role in bladder cancer remains unclear. OBJECTIVE: This study aimed to analyse CDC20 expression in bladder cancer and explore its roles in tumour progression, treatment response, patient prognosis, and cellular proliferation mechanisms. METHODS: We systematically analysed CDC20 expression in bladder cancer using bioinformatics. Our study investigated the impact of CDC20 on chemotherapy and radiotherapy sensitivity, patient prognosis, and changes in CDC20 methylation levels. We also explored the role and potential underlying mechanisms of CDC20 in bladder cancer cell growth. We used lentiviral transfection to downregulate CDC20 expression in 5637 and T24 cells, followed by CCK-8, colony formation, scratch, invasion, apoptosis, and cell cycle analyses. RESULTS: CDC20 is highly expressed in bladder cancer and is significantly correlated with poor prognosis. Moreover, CDC20 demonstrated high diagnostic potential for bladder cancer (AUC > 0.9). The tumour methylation levels of CDC20 in tumour tissues markedly decreased compared with those in normal tissues, and lower methylation levels were associated with a worse prognosis. Elevated CDC20 expression is linked to increased mutation burden. Our findings suggested a potential association between high CDC20 expression and resistance to chemotherapy and radiotherapy, as CDC20 expression may impact immune cell infiltration levels. Mechanistic analysis revealed the influence of CDC20 on bladder cancer cell proliferation through cell cycle-related pathways. According to the cell experiments, CDC20 downregulation significantly impedes bladder cancer cell proliferation and invasion, leading to G1 phase arrest. CONCLUSION: Aberrantly high CDC20 expression promotes tumour progression in bladder cancer, resulting in a poor prognosis, and may also constitute a promising therapeutic target.

Development and evaluation of an adenosine-to-inosine RNA editing-based prognostic model for survival prediction of bladder cancer patients.

Adenosine-to-inosine RNA editing (ATIRE) is a common form of ribonucleic acid (RNA) editing, which has highlighted the importance of ATIRE in tumors. However, its role in bladder cancer (BLCA) remains poorly understood. To study ATIRE impact on BLCA patient prognosis, we obtained ATIRE, gene expression, and clinical data from the Cancer Genome Atlas (TCGA) database for 251 patients, randomly dividing them into training and testing groups. Univariate proportional hazards model (COX) regression identified prognosis-associated ATIRE loci, while the least absolute shrinkage and selection operator (LASSO) selected final loci to construct prognostic models and generate ATIRE scores. We developed a nomogram to predict BLCA patients' overall survival (OS) and analyzed the effect of ATIRE editing levels on host gene expression. We also compared immune cell infiltration and drug treatment between patients with high and low ATIRE scores. The ATIRE prognostic prediction model was constructed using ten ATIRE loci that are closely associated with BLCA survival. Patients with high ATIRE scores showed significantly worse OS than those with low ATIRE scores. Furthermore, the nomogram, which incorporates the ATIRE score, can better predict the prognosis of patients. Multiple functional and pathway changes associated with immune responses, as well as significant differences in immune cell infiltration levels and response to drug therapy were observed between patients with high and low ATIRE scores. This study represented the first comprehensive analysis of the role of ATIRE events in BLCA patient prognosis and provided new insights into potential prognostic markers for BLCA research.

Associations between dietary patterns and anaemia in 6- to 23-month-old infants in central South China.

BACKGROUND: Anaemia is prevalent in children. Therefore, this study examined the association between dietary patterns and anaemia among children in central South China. METHODS: Cross-sectional studies were conducted in Mayang, central South China, in 2015 and 2018. Diet data were collected using a questionnaire, and dietary patterns were identified via exploratory factor analysis. Haemoglobin was measured to assess anaemia status. Associations between dietary patterns and anaemia were assessed using a logistic regression model. RESULTS: The mean age of the infants surveyed was 14.06 months in 2015 and 16.58 months in 2018. Four dietary patterns were identified among infants aged 6-23 months: a diversified diet consisting mainly of tubers, dairy products, beans and bean products; a traditional diet consisting mainly of cereals, water, soup, vegetables and fruit; mainly breast milk, with a little powdered formula; or mainly multi-nutrient powders. The prevalence of anaemia in infants decreased from 29.49% in 2015 to 20.26% in 2018.In infants fed a diversified diet or multi-nutrient powders with top-quartile (Q4) scores, the risk of anaemia was reduced by 45%(adjusted odds ratio [AOR] = 0.55, 95%CI0.30-0.99, P = 0.047) or 59% (AOR = 0.41, 95% CI0.22-0.78, P = 0.006), respectively, compared to infants in the lowest quartile (Q1). Infants fed mainly breast milk had a 3.26-fold greater risk of anaemia compared to those with Q1 scores (AOR = 3.26, 95% CI 1.83-5.81, P < 0.001). CONCLUSIONS: Four dietary patterns were identified among infants aged 6-23 months in central South China. Infants should be fed a variety of food groups to improve their anaemia status.