[Independent external verification of the nomograms for predicting lymph node metastasis in penile cancer].

Objective: To evaluate the two newly established nomograms for predicting lymph node metastasis in penile cancer based on the clinical data on a large cohort of patients. METHODS: We retrospectively studied the clinical data on 93 patients with penile cancer treated in the Center for Tumor Prevention and Treatment. Using the two recently established nomograms (Bhagat nomogram and Zhu nomogram), we predicted lymph node metastasis in the patients, analyzed the differences between prediction and the results of postoperative pathology, and compared the accuracy of prediction between the two nomograms with the receiver operating characteristic (ROC) curve and the area under the curve (AUC). RESULTS: The median age of the patients was 55 (27－82) years. Positive lymph nodes were found in 31 cases (33.3%) postoperatively and in 9 (21.9%) of the 41 clinically negative cases. The AUC of the Bhagat nomogram was 0.739 and that of Zhu nomogram was 0.808, both of which were similar to the prediction accuracy of internal verification and manifested a medium predictive ability. CONCLUSIONS: The newly established Bhagat and Zhu nomograms can be used for predicting lymph node metastasis in penile cancer, but with a low precision, and therefore cannot be relied exclusively for the option of inguinal lymphadenectomy.

Upregulation of Holliday junction recognition protein predicts poor prognosis and biochemical recurrence in patients with prostate cancer.

Abnormal expression of Holliday junction recognition protein (HJURP) in several types of tumor cells plays a vital role in the formation and progression of tumors. Few studies have investigated the role of HJURP in prostate cancer (PCa). The aim of this study was to analyze the expression levels of HJURP in PCa and to establish the association with clinicopathological data. Reverse transcription quantitative polymerase chain reaction and immunohistochemical analysis were used to detect the expression levels of HJURP in benign and PCa prostate tissues. The Taylor dataset was statistically analyzed to determine if HJURP expression levels were associated with PCa clinicopathological data. HJURP was overexpressed in PCa tissues compared with benign prostate tissues. Statistical analysis of the Taylor dataset indicated that upregulation of HJURP was significantly associated with positive prostate-specific antigen (PSA) levels (P=0.004), high Gleason score (P=0.005), advanced pathological stage (P=0.007), metastasis (P<0.001) and PSA failure (P<0.001). Higher HJURP mRNA expression levels were significantly associated with shorter biochemical recurrence (BCR)-free survival (P<0.001). To the best of our knowledge, this study is the first report of HJURP upregulation in PCa tissues. Upregulation of HJURP may predict BCR-free survival and HJURP may be an oncogene that impacts the prognosis of patients with PCa.