Cite as: Can Urol Assoc J 2015;9(7-8):E514-6. http://dx.doi.org/10.5489/cuaj.2662 Published online July 17, 2015. AbstractBladder leiomyosarcoma is a rare mesenchymal tumour, accounting for less than 0.5% of all primary bladder malignancies. Adult women of reproductive age have the higher incidence of bladder leiomyosarcoma. Exposure to local pelvic radiotherapy or systemic chemotherapy, especially cyclophosphamide therapy, is also a significant risk factor. We describe a case of a 31-year-old male who developed urinary bladder leiomyosarcoma. The patient had no history of radiotherapy, systemic chemotherapy, or other significant event, except a 5-year history of ketamine abuse. The tumour was found on the left bladder wall and was definitively diagnosed by transurethral resection of the bladder tumour. A partial cystectomy was performed. There are no known reports of urinary bladder leiomyosarcoma associated with chronic ketamine abuse; therefore, we speculate that chronic ketamine abuse may be a factor in the development of this infrequent bladder malignancy.

Clear cell renal cell carcinoma (ccRCC) is the most common kind of kidney cancer with poor prognosis. Necroptosis is a newly observed type of programmed cell death in recent years. However, the effects of necroptosis-related lncRNAs (NRlncRNAs) on ccRCC have not been widely explored. The transcription profile and clinical information were obtained from The Cancer Genome Atlas. Necroptosis-related lncRNAs were identified by utilizing a co-expression network of necroptosis-related genes and lncRNAs. Univariate Cox regression, least absolute shrinkage, and selection operator regression and multivariate Cox regression were performed to screen out ideal prognostic necroptosis-related lncRNAss and develop a multi-lncRNA signature. Finally, 6 necroptosis-related lncRNA markers were established. Patients were separated into high- and low-risk groups based on the performance value of the median risk score. Kaplan–Meier analysis identified that high-risk patients had poorer prognosis than low-risk patients. Furthermore, the area under time-dependent receiver operating characteristic curve reached 0.743 at 1 year, 0.719 at 3 years, and 0.742 at 5 years, which indicating that they can be used to predict ccRCC prognosis. In addition, the proposed signature was related to immunocyte infiltration. A nomogram model was also established to provide a more beneficial prognostic indicator for the clinic. Altogether, in the present study, the 6-lncRNA prognostic risk signature are trustworthy and effective indicators for predicting the prognosis of ccRCC.