RESUMO
Pelvic ectopic kidney is a congenital anomaly with a higher probability of hydronephrosis than a normal kidney. Few studies have reported cases of pelvic ectopic kidney with hydronephrosis in adults treated with robot-assisted laparoscopic pyeloplasty (RALP). We performed RALP on a 22-year-old male and he recovered well after the procedure. The patient's pain disappeared after surgery. No complications occurred during the perioperative period and had a rapid postoperative recovery.
RESUMO
(1) Background: The study aimed to construct nomograms to improve the detection rates of prostate cancer (PCa) and clinically significant prostate cancer (CSPCa) in the Asian population. (2) Methods: This multicenter prospective study included a group of 293 patients from three hospitals. Univariable and multivariable logistic regression analysis was performed to identify potential risk factors and construct nomograms. Discrimination, calibration, and clinical utility were used to assess the performance of the nomogram. The web-based dynamic nomograms were subsequently built based on multivariable logistic analysis. (3) Results: A total of 293 patients were included in our study with 201 negative and 92 positive results in PCa. Four independent predictive factors (age, prostate health index (PHI), prostate volume, and prostate imaging reporting and data system score (PI-RADS)) for PCa were included, and four factors (age, PHI, PI-RADS, and Log PSA Density) for CSPCa were included. The area under the ROC curve (AUC) for PCa was 0.902 in the training cohort and 0.869 in the validation cohort. The AUC for CSPCa was 0.896 in the training cohort and 0.890 in the validation cohort. (4) Conclusions: The combined diagnosis of PHI and PI-RADS can avoid more unnecessary biopsies and improve the detection rate of PCa and CSPCa. The nomogram with the combination of age, PHI, PV, and PI-RADS could improve the detection of PCa, and the nomogram with the combination of age, PHI, PI-RADS, and Log PSAD could improve the detection of CSPCa.
RESUMO
Metastasis is the most lethal form of prostate cancer, and finding new therapeutic targets remains a major clinical challenge. TP53 mutation has been identified to be involved in tumor progression and metastasis. Nevertheless, direct evidence of the role of TP53 mutation in prostate cancer metastasis and its underlying mechanism remain obscure. Herein, TP53 was found to be the most mutated gene in prostate cancer, and missense mutations were the primary mutation type based on bioinformatics data analysis. Subsequently, TP53 rs12947788 mutation site was significant in prostate cancer, and correlated with metastasis and tumor-node-metastasis (TNM) stage. Furthermore, forkhead box A1 (FOXA1), a target of TP53, was highly expressed in prostate cancer tissue, especially in TP53-mutant patients. It was also associated with patients' Gleason scores and nodal metastasis. Knockdown of FOXA1 suppressed the migration in prostate cancer cells in vitro. Our findings indicate that targeting TP53 mutation and FOXA1 might be a promising therapeutic target for prostate cancer metastasis.