Objective:To construct a prognostic risk model of bladder cancer using cuproptosis-associated long non-coding RNA (lncRNA) and test its predictive efficacy.Methods:RNA expression sequencing data and clinical data of corresponding samples were downloaded from The Cancer Gene Atlas (TCGA) database. The 17 key genes associated with cuproptosis was obtained from the published literature, and then lncRNA of the key genes associated with cuproptosis was screened by correlation analysis based on the lncRNA data from TCGA database. The cuproptosis lncRNA associated with the prognosis of bladder cancer patients were screened by using Cox regression and Lasso regression. A total of 403 bladder cancer patients with complete clinical information screened from TCGA database were divided into a training set (203 cases) and a test set (200 cases), and the prognostic risk prediction model was constructed based on the samples in the training set and the above key independent prognosis-related cuproptosis lncRNA. According to the median value of the risk score, patients in all the datasets, the test set and the training set of bladder cancer screened from TCGA database were divided into high-risk group and low-risk group, and R language survival package was applied to compare the differences in overall survival between the two groups in each dataset. The predictive effect of the model was verified using principal component analysis (PCA) and receiver operating characteristic (ROC) curve. Univariate and multivariate Cox regression analysis were used to analyze the factors affecting overall survival of 403 bladder cancer patients, and ROC curve was used to analyze the efficacy of each factor for predicting the prognosis of bladder cancer.Results:After screening, a total of 4 cuproptosis lncRNA with independent prognostic significance were included (AC104564.3, LINC00649, AL136084.3 and AL136295.2), and the prognostic model constructed based on these 4 lncRNA was as follows: risk score = -0.713 42×AC104564.3-0.744 94×LINC00649+0.410 93×AL136084.3-0.736 89×AL136295.2. Survival analysis showed that the overall survival of the high-risk group in all datasets, the test set and the training set was poorer than that of the low-risk group (all P < 0.05), suggesting that a high risk score predicted poor prognosis. ROC curve analysis showed that the areas under the curve of applying the risk prediction model to predict 1-, 3- and 5-year overall survival of all 403 patients in TCGA database were 0.665, 0.629 and 0.692. Multivariate Cox regression analysis showed that age (≥ 65 years old vs. < 65 years old: OR = 1.027, 95% CI 1.011-1.044, P < 0.001), stage (stage Ⅳ vs. stage Ⅲ vs. stage Ⅱ vs. stage Ⅰ vs. unknown stage: OR = 1.593, 95% CI 1.308-1.939, P < 0.001) and risk score (high vs. low: OR = 1.258, 95% CI 1.126-1.406, P < 0.001) were the independent influencing factors of patients' overall survival. ROC curve analysis showed that the areas under the curve of age, stage and risk score for predicting the patients' 5-year overall survival were 0.614, 0.685 and 0.692, suggesting that the risk prediction model had better predictive efficacy. Conclusions:A prognosis risk prediction model for bladder cancer patients is constructed based on 4 lncRNA associated with cuproptosis, and the model is internally validated to have a high predictive efficacy.

Objective To compare the efficacy of MRI-transrectal ultrasound(TRUS)software fusion-guided biopsy and cognitive fusion-guided biopsy for detecting prostate cancer(PC).Methods Data of 120 patients with suspected PC(127 lesions)who underwent transperineal prostate biopsy with 2-3 times of target biopsy(TB)and 10 times of system biopsy were retrospectively analyzed.According to TB guidance methods,73 cases(78 lesions)received MRI-TRUS software fusion-guided biopsy were classified into group A,and 47 cases(49 lesions)received cognitive fusion-guided biopsy were classified into group B.The positive rate of PC,clinic significant PC(csPC)and PC in different sized lesions by TB were compared between groups,and the positive rate of PC between 2 or 3 times TB was also compared within each group.Results The positive rate of PC and csPC detected by TB was 55.13%(43/78)and 39.74%(31/78)in group A,53.06%(26/49)and 34.69%(17/49)in group B,respectively,no significant difference was found(all P＞0.05).The positive rate of PC in lesions with the maximum diameter≤10 mm detected by TB in group A was higher than that in group B(P＜0.05),but no significant difference of lesions with the maximum diameter＞10 mm and＜15 mm nor≥15 mm was found between groups(all P＞0.05).No significant difference of positive rate of PC was found between 2 and 3 times TB in group A(P＞0.05),while positive rate of PC of 3 times TB was significantly higher than that of 2 times TB in group B(P＜0.05).Conclusion MRI-TRUS software fusion-guided biopsy had positive rate of PC and csPC similar to that of cognitive fusion-guided biopsy,but was helpful for reducing times of TB and increasing detecting rate for lesions with the maximum diameter≤10 mm.