OBJECTIVES: To explore a causal relationship between ferroptosis-related gene heat shock protein A5 (HSPA5) and hepatocellular carcinoma (HCC). METHODS: A two-sample Mendelian randomization (MR) design was employed to evaluate the causal relationships among HSPA5, regulatory T cells (Tregs), and HCC. Single nucleotide polymorphisms (SNPs) associated with HSPA5, Tregs and HCC were selected as instrumental variables through publicly available genome-wide association studies (GWAS) databases. MR analysis was used to assess the direct effect of HSPA5 on HCC, followed by two-step MR to analyze the potential mediating role of Tregs. Reverse MR analysis was conducted with HCC as the exposure and HSPA5 as the outcome. Inverse variance weighting was the primary method for testing causal associations in all MR analyses. Robustness of the results was confirmed through MR-Egger, weighted median, weighted mode, and simple mode methods. Heterogeneity of instrumental variables was evaluated using Cochrane's Q statistic, while pleiotropy was tested by MR-Egger intercept and MR-PRESSO, with leave-one-out sensitivity analysis performed for robustness. Data from The Cancer Genome Atlas (TCGA) and Human Protein Atlas (HPA) were utilized to verify the expression levels of HSPA5 in HCC tissues and its correlation with Tregs to reveal the interaction mechanisms between HSPA5 and Tregs in HCC progression and their relationship with patient prognosis. RESULTS: MR analysis showed a positive correlation between elevated HSPA5 expression and HCC risk (all P<0.01), while reverse MR analysis found no statistically significant association between HCC and HSPA5 (P>0.05). HSPA5 expression was significantly correlated with Tregs function (all P<0.05), and the enrichment of Tregs in HCC microenvironment was positively associated with HCC progression (all P<0.05). Mediation analysis indicated that Tregs accounted for 5.00% and 7.45% of the mediation effect between HSPA5 and HCC. TCGA and HPA database analysis revealed that both HSPA5 mRNA and protein expression levels were higher in HCC tissues compared to normal tissues, and high HSPA5 expression was significantly associated with poor prognosis. Immune infiltration analysis confirmed a significant positive correlation between HSPA5 and Tregs, with high Tregs infiltration closely related to HCC progression. CONCLUSIONS Elevated HSPA5 expression is significantly associated with HCC development and poor prognosis. HSPA5 may promote HCC progression by regulating the function of Tregs in the tumor microenvironment.
Humans ; Liver Neoplasms/genetics* ; Carcinoma, Hepatocellular/genetics* ; Endoplasmic Reticulum Chaperone BiP ; Mendelian Randomization Analysis ; Genome-Wide Association Study ; Polymorphism, Single Nucleotide ; Heat-Shock Proteins/genetics* ; Ferroptosis/genetics* ; T-Lymphocytes, Regulatory/immunology*

OBJECTIVES: To construct a prognosis risk model based on long noncoding RNAs (lncRNAs) related to cuproptosis and to evaluate its application in assessing prognosis risk of bladder cancer patients. METHODS: RNA sequence data and clinical data of bladder cancer patients were downloaded from the Cancer Genome Atlas database. The correlation between lncRNAs related to cuproptosis and bladder cancer prognosis was analyzed with Pearson correlation analysis, univariate Cox regression, Lasso regression, and multivariate Cox regression. Then a cuproptosis-related lncRNA prognostic risk scoring equation was constructed. Patients were divided into high-risk and low-risk groups based on the median risk score, and the immune cell abundance between the two groups were compared. The accuracy of the risk scoring equation was evaluated using Kaplan-Meier survival curves, and the application of the risk scoring equation in predicting 1, 3 and 5-year survival rates was evaluated using receiver operating characteristic (ROC) curves. Univariate and multivariate Cox regression were used to screen for prognostic factors related to bladder cancer patients, and a prognostic risk assessment nomogram was constructed, the accuracy of which was evaluated with calibration curves. RESULTS: A prognostic risk scoring equation for bladder cancer patients was constructed based on nine cuproptosis-related lncRNAs. Immune infiltration analysis showed that the abundances of M0 macrophages, M1 macrophages, M2 macrophages, resting mast cells and neutrophils in the high-risk group were significantly higher than those in the low-risk group, while the abundances of CD8⁺ T cells, helper T cells, regulatory T cells and plasma cells in the low-risk group were significantly higher than those in the high-risk group (all P<0.05). Kaplan-Meier survival curve analysis showed that the total survival and progression-free survival of the low-risk group were longer than those of the high-risk group (both P<0.01). Univariate and multivariate Cox analysis showed that the risk score, age and tumor stage were independent factors for patient prognosis. The ROC curve analysis showed that the area under the curve (AUC) of the risk score in predicting 1, 3 and 5-year survival was 0.716, 0.697 and 0.717, respectively. When combined with age and tumor stage, the AUC for predicting 1-year prognosis increased to 0.725. The prognostic risk assessment nomogram for bladder cancer patients constructed based on patient age, tumor stage, and risk score had a prediction value that was consistent with the actual value. CONCLUSIONS A bladder cancer patient prognosis risk assessment model based on cuproptosis-related lncRNA has been successfully constructed in this study. The model can predict the prognosis of bladder cancer patients and their immune infiltration status, which may also provide a reference for tumor immunotherapy.
Humans ; CD8-Positive T-Lymphocytes ; Prognosis ; RNA, Long Noncoding/genetics* ; Urinary Bladder ; Urinary Bladder Neoplasms/genetics* ; Copper ; Apoptosis