A case report: renal cystic tumoural calcinosis with ossification and bone marrow formation.

BACKGROUND: Tumoural calcinosis (TC) is a rare disorder characterized by nonneoplastic amorphous calcium deposition that tends to occur in soft tissues around the large joint. Here, we report a case of cystic TC with ossification and bone marrow formation in the kidney. CASE PRESENTATION: We report a 63-year-old woman who presented with a complaint of intermittent right lumbar pain for 2 months. Computed tomography (CT) revealed a large cystic lesion on the lateral side of the right kidney, with a circular calcified wall around the lesion, which compressed, deformed and displaced the right kidney. To relieve the symptoms of right lumbar pain, the patient underwent surgical resection of this cystic lesion without partial removal of the renal parenchyma. The pathological results further confirmed the diagnosis of cystic TC with ossification and bone marrow formation in the right kidney. No recurrence was detected 1 year after surgery. CONCLUSIONS: The main differential diagnoses of TC in the kidney are kidney stone, renal tuberculosis, renal cyst with a calcified wall, and tumour. Patients are treated mainly by complete surgical resection of the lesion.

Development and Validation of a Nomogram Predicting the Prognosis of Renal Cell Carcinoma After Nephrectomy.

OBJECTIVE: To develop and validate a nomogram for predicting the overall survival (OS) of renal cell carcinoma (RCC) patients after nephrectomy. MATERIALS AND METHODS: In total, 488 patients with RCC who underwent nephrectomy at the Urology Department of the First Hospital of Shanxi Medical University between January 2013 and December 2018 were randomly divided into a development cohort (n = 344) and a validation cohort (n = 144). The development cohort was used to build a prediction model, and the validation cohort was used for validation. Single-factor and multifactor analyses were carried out with R software, and the nomogram, calibration chart, ROC curve and C index were constructed. RESULTS: The median follow-up time of the development and validation cohorts was 34 months. The total 3-year and 5-year survival rates of the development cohort were 93.3% and 91.6%, respectively; those of the validation cohort were 92.4% and 91.0%, respectively. Cox univariate analysis of the development cohort showed that age, type 2 diabetes mellitus (T2DM), smoking history, type of surgery, T stage, N stage, M stage and Fuhrman nuclear grade were prognostic factors for OS in RCC patients undergoing nephrectomy. Cox multivariate analysis showed that T2DM, smoking history and T stage were independent prognostic factors for OS in RCC patients undergoing nephrectomy (P < 0.05). According to the univariate and multivariate analyses, a nomogram was constructed. In the development cohort, the C index of predicted OS was 0.875 (95% CI, 0.820-0.930). The calibration curve of the 3-year and 5-year survival rates showed that the predicted value of the nomogram was consistent with the actual observed value. The area under the 3-year and 5-year survival ROC curves was 0.861 and 0.901, respectively. In the validation cohort, the C index was 0.880 (95% CI, 0.778-0.982). The calibration curve of the 3-year and 5-year survival rates showed that the predicted value of the nomogram was consistent with the actual observed value. The area under the 3-year and 5-year survival ROC curves was 0.813 and 0.799, respectively. CONCLUSION: We developed and verified a new and accurate nomogram with available clinicopathological data that can effectively predict the OS of RCC patients after nephrectomy.

Analysis of the factors influencing the survival time of patients with sarcomatoid renal cell carcinoma.

The aim of the present study was to identify the factors influencing the survival time of patients with sarcomatoid renal cell carcinoma (SRCC). Between January 2000 and September 2017, a total of 21 patients were enrolled, all of whom were diagnosed with SRCC. In total, eight prognostic factors were analyzed using the Kaplan-Meier estimator, a log-rank test and Cox's proportional hazards model. The log-rank test results revealed that there was a significant association between the proportion of sarcoma elements and survival time of patients with SRCC (P<0.05). In addition, there was a significant association between post-operative drug treatment and SRCC survival time (P<0.05). The results of the Kaplan-Meier estimate demonstrated that the survival curve of post-operative drug treatment was significantly greater compared with the survival curve of patients who did not undergo drug treatment (P<0.05). The survival curve of patients with a proportion of sarcoma elements <50% was significantly greater compared with the survival curve of patients with a proportion of sarcoma elements ≥50% (P<0.05). Furthermore, the Cox's proportional hazards model revealed that the mortality risk in post-operative patients without drug treatment was 5.822 times greater compared with that of patients with drug treatment (P<0.05). Mortality risk in patients with a proportion of sarcoma elements ≥50% was 4.682 times higher compared with that of patients with sarcoma elements <50% (P<0.05). Finally, post-operative drug therapy was revealed to be a protective factor which significantly affected the survival time of patients with SRCC [risk ratio (RR)=0.172], in addition to the proportion of sarcoma elements ≥50% (RR=4.682). In conclusion, drug therapy should be promoted upon patient diagnosis with SRCC and attention should be given to the proportion of sarcomatoid components.

Pre-existing type 2 diabetes is an adverse prognostic factor in patients with renal cell carcinoma.

BACKGROUND: Diabetes is a risk factor for various cancers, but its prognostic role in renal cell carcinoma (RCC) is controversial and understudied. This study investigated the prognostic value of type 2 diabetes (T2D) in RCC patients. METHODS: The clinicopathological and follow-up data of 451 RCC patients undergoing radical or partial nephrectomy at the First Hospital of Shanxi Medical University from 2013 to 2018 were reviewed. Associations of T2D with clinicopathological parameters of RCC were evaluated using the Kaplan-Meier method for survival estimates and Cox regression univariate and multivariate analyses. RESULTS: Of 451 patients, 74 (16.4%) had T2D. These patients were older, had a higher body mass index, higher incidence rates of hypertension and cardiovascular morbidity, a higher rate of laparoscopic surgery, and smaller neoplasms (all P < .05). Patients with T2D exhibited shorter overall survival (OS; P = .009), cancer-specific survival (CSS; P = .043), and recurrence-free survival (RFS; P = .008) than patients without T2D. Fuhrman grade (hazard ratio [HR] 2.542, 95% confidence interval [CI] 1.115-5.795, P = .026) and T2D (HR 3.391, CI 1.458-7.886, P = .005) were independent predictors of OS; T2D was an independent predictor of CSS (HR = 4.637, 95% CI 1.420-15.139, P = .011) and RFS (HR 3.492, 95% CI 1.516-8.044, P = .003). CONCLUSIONS: Renal cell carcinoma patients with T2D have a shorter OS and higher recurrence rate and mortality risk than those without T2D.