Development and validation of a nomogram based on geriatric nutritional risk index for predicting prognosis and postoperative complications in surgical patients with upper urinary tract urothelial carcinoma.

BACKGROUND: This study aimed to evaluate the potential role of the Geriatric Nutritional Risk Index (GNRI) in predicting oncological outcomes and postoperative complications in UTUC patients undergoing radical nephroureterectomy (RNU) and to develop a nomogram incorporating GNRI to predict outcomes. METHODS: A retrospective analysis was performed on 458 consecutive patients who underwent RNU in our center. According to nutritional scores, patients were divided into the following groups: low GNRI (GNRI ≤ 98) and high GNRI (GNRI > 98). Univariable and multivariable logistic regression were performed to investigate the role of GNRI in predicting the perioperative complications. The survival was compared with Kaplan - Meier curve, and test by log-rank tests. Risk factors associated with cancer-specific survival (CSS) and overall survival (OS) were evaluated using Cox proportional hazards regression model and were integrated into a nomogram for individualized risk prediction. The calibration and discrimination ability of the model were evaluated by concordance index (C-index) and risk group stratification. RESULTS: When compared with high GNRI, low GNRI had significantly lower survival (CSS, p < 0.001; OS, p < 0.001). Across all patients, multivariable analyses revealed that low GNRI was an independent prognostic factor (CSS, p = 0.007; OS, p = 0.005). Nomograms for 1-, 3-, and 5 years of CSS and OS had good performance. Patients can be stratified into different groups based on the nomogram, with significant differences in OS and CSS. Further, GNRI was also found to be an independent risk factor for postoperative complications. The complication - prediction nomogram based on GNRI was also internally validated and showed good performance. CONCLUSIONS: The GNRI score is an independent predictor for the prognosis and postoperative complications of UTUC following RNU. This study presented a nomogram incorporating preoperative GNRI that might be used as a convenient tool to facilitate the preoperative individualized prediction of short- and long-term outcomes for patients with UTUC.

A simplified frailty index and nomogram to predict the postoperative complications and survival in older patients with upper urinary tract urothelial carcinoma.

Purpose: This study was designed to investigate the clinical value of a simplified five-item frailty index (sFI) for predicting short- and long-term outcomes in older patients with upper urinary tract urothelial carcinoma (UTUC) patients after radical nephroureterectomy (RNU). Method: This retrospective study included 333 patients (aged ≥65 years) with UTUC. Patients were classified into five groups: 0, 1, 2, 3, and 3+, according to sFI score. The variable importance and minimum depth methods were used to screen for significant variables, and univariable and multivariable logistic regression models applied to investigated the relationships between significant variables and postoperative complications. Survival differences between groups were analyzed using Kaplan-Meier plots and log-rank tests. Cox proportional hazards regression was used to evaluate risk factors associated with overall survival (OS) and cancer-specific survival (CSS). Further, we developed a nomogram based on clinicopathological features and the sFI. The area under the curve (AUC), Harrel's concordance index (C-index), calibration curve, and decision curve analysis (DCA) were used to evaluate the nomogram. Result: Of 333 cases identified, 31.2% experienced a Clavien-Dindo grade of 2 or greater complication. Random forest-logistic regression modeling showed that sFI significantly influenced the incidence of postoperative complications in older patients (AUC= 0.756). Compared with patients with low sFI score, those with high sFI scores had significantly lower OS and CSS (p < 0.001). Across all patients, the random survival forest-Cox regression model revealed that sFI score was an independent prognostic factor for OS and CSS, with AUC values of 0.815 and 0.823 for predicting 3-year OS and CSS, respectively. The nomogram developed was clinically valuable and had good ability to discriminate abilities for high-risk patients. Further, we developed a survival risk classification system that divided all patients into high-, moderate-, and low-risk groups based on total nomogram points for each patient. Conclusion: A simple five-item frailty index may be considered a prognostic factor for the prognosis and postoperative complications of UTUC following RNU. By using this predictive model, clinicians may increase their accuracy in predicting complications and prognosis and improve preoperative decision-making.

Systematic oxidative stress indices predicts prognosis in patients with urothelial carcinoma of the upper urinary tract after radical nephroureterectomy.

BACKGROUND: Oxidative stress plays an important role in the occurrence and development of malignancy. However, the relationship between oxidative stress and upper urinary tract urothelial carcinoma (UTUC) prognosis remains elusive. This study aimed to evaluate the prognostic value of systematic oxidative stress indices as a predictor of patient outcomes in UTUC after radical nephroureterectomy. METHODS: Clinical data for 483 patients with UTUC who underwent radical nephroureterectomy were analyzed. Patients were categorized according to an optimal value of systematic oxidative stress indices (SOSIs), including fibrinogen (Fib), gamma-glutamyl transpeptidase (γ-GGT), creatinine (CRE), lactate dehydrogenase (LDH) and albumin (ALB). Kaplan-Meier analyses were used to investigate associations of SOSIs with overall survival (OS) and progression-free survival (PFS). Moreover, associations between SOSIs and OS and PFS were assessed with univariate and multivariate analyses. RESULTS: High values of Fib, γ-GGT, CRE, and LDH, and low values of ALB were associated with reduced OS. SOSIs status correlated with age, tumor site, surgical approach, hydronephrosis, tumor size, T stage, and lymph node status. The Kaplan-Meier survival analysis showed a significant discriminatory ability for death and progression risks in the two groups based on SOSIs. Multivariate Cox proportional hazards models showed that SOSIs were an independent prognostic indicator for OS (p = 0.007) and PFS (p = 0.021). SOSIs and clinical variables were selected to establish a nomogram for OS. The 1-, 3-, and 5-year AUC values were 0.77, 0.78, and 0.81, respectively. Calibration curves of the nomogram showed high consistencies between the predicted and observed survival probability. Decision curve analysis curves showed that the nomogram could well predict the 1-year, 3-year, and 5-year OS. CONCLUSIONS: SOSIs are an independent unfavorable predictor of OS and PFS in patients diagnosed with UTUC undergoing RNU. Therefore, incorporating SOSIs into currently available clinical parameters may improve clinical decision-making.

Identifying possible hub genes and biological mechanisms shared between bladder cancer and inflammatory bowel disease using machine learning and integrated bioinformatics.

BACKGROUND: Recent studies have shown that inflammatory bowel disease (IBD) is associated with bladder cancer (BC) incidence. But there is still a lack of understanding regarding its pathogenesis. Thus, this study aimed to identify potential hub genes and their important pathways and pathological mechanisms of interactions between IBD and BC using bioinformatics methods. METHODS: The data from Gene Expression Omnibus (GEO) and the cancer genome atlas (TCGA) were analyzed to screen common differentially expressed genes (DEGs) between IBD and BC. The "clusterProfiler" package was used to analyze GO term and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment in DEGs. After that, we conducted a weighted gene co-expression network analysis (WGCNA) on these DEGs to determine the vital modules and genes significantly related to BC. Protein-protein interaction (PPI) networks was used to identify hub genes. Further, the hub genes were used to develop a prognostic signature by Cox analysis. The validity of the ten hub DEGs was tested using three classification algorithms. Finally, we analyzed the microRNAs (miRNA)-mRNA, transcription factors (TFs)-mRNA regulatory network. RESULTS: Positive regulation of organelle fission, chromosomal region, tubulin binding, and cell cycle signaling pathway were the major enriched pathways for the common DEGs. PPI networks identified three hub proteins (AURKB, CDK1, and CCNA2) with high connectivity. Three machine-learning classification algorithms based on ten hub genes performed well for IBD and BC (accuracy > 0.80). The robust predictive model based on the ten hub genes could accurately classify BC cases with various clinical outcomes. Based on the gene-TFs and gene-miRNAs network construction, 9 TFs and 6 miRNAs were identified as potential critical TFs and miRNAs. There are 13 drugs that interact with the hub gene based on gene-drug interaction analysis. CONCLUSIONS: This study explored common gene signatures and the potential pathogenesis of IBD and BC. We revealed that an unbalanced immune response, cell cycle pathway, and neutrophil infiltration might be the common pathogenesis of IBD and BC. Molecular mechanisms for the treatment of IBD and CC still require further investigation.

FOXP2 confers oncogenic effects in prostate cancer.

Identification oncogenes is fundamental to revealing the molecular basis of cancer. Here, we found that FOXP2 is overexpressed in human prostate cancer cells and prostate tumors, but its expression is absent in normal prostate epithelial cells and low in benign prostatic hyperplasia. FOXP2 is a FOX transcription factor family member and tightly associated with vocal development. To date, little is known regarding the link of FOXP2 to prostate cancer. We observed that high FOXP2 expression and frequent amplification are significantly associated with high Gleason score. Ectopic expression of FOXP2 induces malignant transformation of mouse NIH3T3 fibroblasts and human prostate epithelial cell RWPE-1. Conversely, FOXP2 knockdown suppresses the proliferation of prostate cancer cells. Transgenic overexpression of FOXP2 in the mouse prostate causes prostatic intraepithelial neoplasia. Overexpression of FOXP2 aberrantly activates oncogenic MET signaling and inhibition of MET signaling effectively reverts the FOXP2-induced oncogenic phenotype. CUT&Tag assay identified FOXP2-binding sites located in MET and its associated gene HGF. Additionally, the novel recurrent FOXP2-CPED1 fusion identified in prostate tumors results in high expression of truncated FOXP2, which exhibit a similar capacity for malignant transformation. Together, our data indicate that FOXP2 is involved in tumorigenicity of prostate.

Impact of a novel immune and nutritional score on prognosis in patients with upper urinary tract urothelial carcinoma following radical nephroureterectomy.

BACKGROUND: This study aimed to evaluate the clinical significance of a novel immune and nutritional score combining prognostic values of the controlling nutritional status (CONUT) score and prognostic immune and nutritional index (PINI) on long-term outcomes in patients with upper tract urothelial carcinoma (UTUC) after radical nephroureterectomy (RNU). METHODS: This study analyzed 437 consecutive patients with UTUC treated by RNU. Restricted cubic splines were used to visualize the relation of PINI with Survival in patients with UTUC. The PINI was stratified into low- (1) and high-PINI (0) categories. The CONUT score was divided into three groups: Normal (1), Light (2), and Moderate/severe (3). Subsequently, patients were grouped according to CONUT-PINI score (CPS) (CPS group 1; CPS group 2; CPS group 3; and CPS group 4). Survival curves were plotted using the Kaplan-Meier method and log-rank test. The Cox proportional hazards regression model was used to determine the risk factors associated with overall Survival (OS) and cancer-specific Survival (CSS). By comprising independent prognostic factors, a predictive nomogram was constructed. RESULTS: PINI and CONUT score were identified as independent prognostic factors for OS and CSS. Kaplan-Meier survival analysis showed that the high CPS group was associated with worse OS and CSS than the low CPS group. Multivariate Cox regression and competing risk analyses showed that CPS, LVI, T stage, margin, and pN were independent factors associated with OS and CSS. Based on these five significant factors, we constructed a prognostic model for predicting clinical outcomes. The receiver operating characteristic curve indicated that the model had excellent predictive abilities for survival. The C-index of this model for OS and CSS were 0.773, and 0.789, respectively. The nomogram for OS and CSS showed good discrimination and calibration. Decision curve analysis (DCA) showed that this nomogram has a higher net benefit. CONCLUSION: The CPS combined the prognostic capacity of PINI and CONUT score and was able to predict patient outcomes in our cohort of UTUC patients. We have developed a nomogram to facilitate the clinical use of the CPS and provide accurate estimates of survival for individuals.

Prognostic models for upper urinary tract urothelial carcinoma patients after radical nephroureterectomy based on a novel systemic immune-inflammation score with machine learning.

PURPOSE: This study aimed to evaluate the clinical significance of a novel systemic immune-inflammation score (SIIS) to predict oncological outcomes in upper urinary tract urothelial carcinoma(UTUC) after radical nephroureterectomy(RNU). METHOD: The clinical data of 483 patients with nonmetastatic UTUC underwent surgery in our center were analyzed. Five inflammation-related biomarkers were screened in the Lasso-Cox model and then aggregated to generate the SIIS based on the regression coefficients. Overall survival (OS) was assessed using Kaplan-Meier analyses. The Cox proportional hazards regression and random survival forest model were adopted to build the prognostic model. Then we established an effective nomogram for UTUC after RNU based on SIIS. The discrimination and calibration of the nomogram were evaluated using the concordance index (C-index), area under the time-dependent receiver operating characteristic curve (time-dependent AUC), and calibration curves. Decision curve analysis (DCA) was used to assess the net benefits of the nomogram at different threshold probabilities. RESULT: According to the median value SIIS computed by the lasso Cox model, the high-risk group had worse OS (p<0.0001) than low risk-group. Variables with a minimum depth greater than the depth threshold or negative variable importance were excluded, and the remaining six variables were included in the model. The area under the ROC curve (AUROC) of the Cox and random survival forest models were 0.801 and 0.872 for OS at five years, respectively. Multivariate Cox analysis showed that elevated SIIS was significantly associated with poorer OS (p<0.001). In terms of predicting overall survival, a nomogram that considered the SIIS and clinical prognostic factors performed better than the AJCC staging. CONCLUSION: The pretreatment levels of SIIS were an independent predictor of prognosis in upper urinary tract urothelial carcinoma after RNU. Therefore, incorporating SIIS into currently available clinical parameters helps predict the long-term survival of UTUC.

Presence of secondary bladder cancer following radical nephroureterectomy for upper tract urothelial carcinoma: characteristics, risk factors, and predictive value.

BACKGROUND: To assess the characteristics, predictive risk factors, and prognostic effect of secondary bladder cancer (SBCa) following radical nephroureterectomy (RNU) in upper tract urothelial carcinoma (UTUC). METHODS: Using the Surveillance, Epidemiology, and End Results database, the authors analyzed clinicopathologic characteristics and survival data from 472 UTUC patients with SBCa after RNU, between 2004 and 2017. Cox's proportional hazard regression model was implemented to identify independent predictors associated with post-recurrence outcomes. The threshold for statistical significance was p < 0.05. RESULTS: In total, 200 Ta-3N0M0 localized UTUC patients with complete data were finally included. With a median follow-up of 71.0 months (interquartile ranges [IQR] 36.0 -103.8 months), 52.5% (n = 105) had died, with 30.5% (n = 61) dying of UTUC. The median time interval from UTUC to SBCa was 13.5 months (IQR 6.0-40.8 months). According to multivariable Cox regression analysis, patients with SBCa located at multiple sites, advanced SBCa stage, higher SBCa grade, elderly age and a shorter recurrence time, encountered worse cancer-specific survival (CSS), all p < 0.05. CONCLUSION: For primary UTUC patients with SBCa after radical surgery, advanced age, multiple SBCa sites, shorter recurrence time, higher SBCa stage, and grade proved to be significant independent prognostic factors of CSS. We ought to pay more attention to SBCa prevention as well as to earlier signs which may increase the likelihood of early detection. Having the ability to manage what may be seen as the superficial SBCa signs may enable us to improve survival but further research is required.

Clinicopathological and Prognostic Significance of Preoperative Prognostic Nutritional Index in Patients with Upper Urinary Tract Urothelial Carcinoma.

To investigate the prognostic value of preoperative prognostic nutritional index (PNI) to predict oncological outcome and intravesical recurrence (IVR) in upper tract urothelial carcinoma (UTUC) after radical nephroureterectomy (RNU).This study involved the clinical data of 255 patients with UTUC who had undergone RNU from 2004 to 2019 at our institution. Patients were grouped according to an optimal value of preoperative PNI. Kaplan-Meier analyses and Cox proportional hazards models were used to analyze the associations of preoperative PNI with progression-free survival (PFS), cancer-specific survival (CSS), overall survival (OS), and IVR.Patients with low PNI were more likely to be older, have higher tumor stage, higher eGFR, and multifocal lesions. No significant association was found between PNI and CSS, IVR. In subgroup analysis according to the risk stratification, low PNI was associated with worse PFS, CSS, and OS for patients with higher risk. Multivariate analyses showed that elevated PNI was an independent prognostic indicator for PFS (P = 0.014) and OS (P = 0.048).A low PNI is an independent predictor of PFS and OS in patients with UTUC after RNU. By subgroup analysis, the prognostic value of PNI was limited to patients with higher risk. PNI may become a useful biomarker to predict oncological outcomes in patients with UTUC after RNU.

Discovery and construction of prognostic model for clear cell renal cell carcinoma based on single-cell and bulk transcriptome analysis.

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is the most common malignant kidney tumor in adults. Single-cell transcriptome sequencing can provide accurate gene expression data of individual cells. Integrated single-cell and bulk transcriptome data from ccRCC samples provide comprehensive information, which allows the discovery of new understandings of ccRCC and the construction of a novel prognostic model for ccRCC patients. METHODS: Single-cell transcriptome sequencing data was preprocessed by using the Seurat package in R software. Principal component analysis (PCA) and the t-distributed stochastic neighbor embedding (t-SNE) algorithm were used to perform cluster classification. Two subtypes of cancer cells were identified, pseudotime trajectory analysis and gene ontology (GO) analysis were conducted with the monocle and clusterProfiler packages. Two novel cancer cell biomarkers were identified according to the single-cell sequencing and were confirmed by The Cancer Genome Atlas (TCGA) data. T cell-related marker genes according to single-cell sequencing were screened by a combination of Kaplan-Meier (KM) analysis, univariate Cox analysis, least absolute shrinkage and selection operator (Lasso) regression and multivariate Cox analysis of TCGA data. Four survival predicting genes were screened out to develop a risk score model. A nomogram consisting of the risk score and clinical information was constructed to predict the prognosis for ccRCC patients. RESULTS: A total of 5,933 cells were included in the study after quality control. Fifteen cell clusters were classified by PCA and t-SNE algorithm. Two clusters of cancer cells with distinct differentiation status were identified. Besides, GO analysis revealed that biological processes were different between the two subgroups. Egl-9 family hypoxia-inducible factor 3 (EGLN3) and nucleolar protein 3 (NOL3) were specifically expressed in cancer cell clusters, bulk RNA sequencing data from TCGA confirmed their high expression in ccRCC tissues. GTSE1, CENPF, SMC2 and H2AFV were screened out and applied to the construction of risk score model. A nomogram was generated to predict prognosis of ccRCC by combing the risk score and clinical parameters. CONCLUSIONS: We integrated single-cell and bulk transcriptome data from ccRCC in this study. Two subtypes of ccRCC cells with different biological characteristics and two potential biomarkers of ccRCC were discovered. A novel prognostic model was constructed for clinical application.

The Whitaker Test in the Follow-up of Complex Upper Urinary Tract Reconstruction: Is It Clinical Useful or Not.

PURPOSE: To evaluate the feasibility and guiding significance in postoperative management of the Whitaker test after complex reconstruction of the upper urinary tract. MATERIALS AND METHODS: Patients who underwent complex ureteral reconstruction and received the Whitaker test after surgery between December 2018 and December 2019 were included. We judged it abnormal that the renal pelvis pressure was higher than 22 cmH2O or the pressure difference was greater than 15 cmH2O. The results were used as a reference for removing the nephrostomy tube. Based on whether the renal pelvic pressure was higher than 22 cmH2O, the patients were divided into the elevated pelvis pressure group and the normal group. Follow ups at 1 month and every 3 months were collected. RESULTS: A total of 19 patients were included. Fifteen patients did not present obvious abnormalities. One patient suffered from contrast infiltrating into the renal parenchyma, and the pressure was higher than 15 cmH2O. Ureteral stent implantation was performed. The other 3 patients had either elevated pelvis pressure or insufficient image, 2 of which prolonged the duration of nephrostomy tubes. The median follow-up time was 12.6 months. CTU/MRU after removing nephrostomy tubes indicated improved/stable hydronephrosis in all patients. The creatinine in the elevated pelvis pressure group was higher than that in the normal group (91.4 ± 27.6 vs 86.7 ± 16.5 µmol/L, P = .782), and the eGFR was lower (76.0 ± 14.0 vs 81.8 ± 24.1 mL/min/1.73m2, P = .695), but without significant difference. The change in creatinine during follow-up in the elevated renal pelvic pressure group was significantly different from that in the normal group (-13.6 ± 1.0 vs -0.2 ± 10.6 umol/L, P = .047). CONCLUSION: Postoperative Whitaker test can help judge whether nephrostomy could be removed. Elevated pressure in upper urinary tract after reconstruction suggests the need to prolong the time of the nephrostomy tube or even re-intervene. Proper management for patients with elevated renal pelvis pressure can help restore the renal function.

Overexpression of MAX dimerization protein 3 (MXD3) predicts poor prognosis in clear cell renal cell carcinoma.

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is the most common histological subtype of malignant kidney tumor. The molecular mechanism of ccRCC is complicated, and few effective prognostic predictors have been applied to clinical practice. MAX dimerization protein 3 (MXD3) is generally considered a transcription factor of the MYC/MAX/MAD transcriptional network. This study aimed to investigate the impact of MXD3 in ccRCC. METHODS: Gene expression profiles and clinical data of ccRCC were downloaded from The Cancer Genome Atlas (TCGA) database. MXD3 expression levels between tumors and adjacent normal tissues were compared. The influence of MXD3 on overall survival (OS) was evaluated using the Kaplan-Meier method. Associations between MXD3 expression and clinical features were assessed with the Kruskal test and Wilcoxon test. Univariate and multivariate Cox analyses were performed to observe the impact of MXD3 expression and clinical features on prognosis. The correlation between MXD3 and ccRCC immune infiltration was estimated with TIMER. The DNA methylation levels of the MXD3 promoter were obtained from UALCAN. Gene set enrichment analysis (GSEA) was conducted to explore the biological signaling pathways. RESULTS: MXD3 was overexpressed in ccRCC tumor tissues compared with adjacent normal kidney tissues. High expression of MXD3 was significantly correlated with poor prognosis. MXD3 expression levels were associated with tumor grade, tumor stage, tumor (T) classification and metastasis (M) classification. Univariate and multivariate Cox analyses showed that high expression of MXD3 was an independent risk factor for OS in ccRCC. MXD3 expression was positively correlated with the infiltrating levels of B cells and myeloid dendritic cells, and negatively correlated with macrophages. The MXD3 promoter region tended to be hypomethylated in ccRCC compared with normal tissues. GSEA identified homologous recombination, base excision repair, and glycerophospholipid metabolism as differentially enriched in ccRCC with high MXD3 expression. CONCLUSIONS: This study suggests that high expression of MXD3 is an independent risk factor for poor prognosis in ccRCC. MXD3 expression potentially contributes to regulation of immune infiltration and cell proliferation in ccRCC, and the aberrant expression of MXD3 in tumor tissues could be caused by hypomethylation of gene promoter. MXD3 could be an effective prognostic biomarker and potential therapeutic target for ccRCC.

Transperineal-incision urethrectomy combined with laparoscopic prostatectomy for a male patient with squamous cell carcinoma involving distal plus proximal urethra and untypical symptoms-a case report.

Primary urethral carcinoma (PUC) is a rare malignancy, covering less than 1% of all genitourinary cancers. Different tumor location, classified as tumor in distal or proximal urethra, represents different characteristics and often leads to different treatment modality. However, data on the surgical approach for PUC involving both distal and proximal urethra remains rare. In this case, we presented a 75-year-old man with untypical symptoms of perineal mass and unspecific frequent and painful urination. Results of multiparametric magnetic resonance imaging (mp-MRI), positron emission tomography/computed tomography (PET/CT) scan, and percutaneous biopsy revealed a cT2N1M0 PUC involving both distal and proximal urethra. Given the request of patients for a normal penile appearance after surgery, a transperineal-incision urethrectomy combined with laparoscopic prostatectomy and iliac lymphadenectomy was performed with optimal outcomes. The results of histopathological analysis revealed a moderately-high differentiated PUC with no positive lymph node. Post-operative recovery was uneventful. On first visit 1-month after surgery, physical examination revealed a satisfactory wound healing and appearance of penis and no recurrent lesions were found on mp-MRI. This is a rare case with untypical symptoms indicating that patients with PUC involving both distal and proximal urethra may present with no symptoms of urethral stricture but only non-specific lower urinary symptoms. The surgical approach we proposed in this case proves to be a safe and feasible one to completely resect the tumor and preserve a normal appearance of penis, thus worth to be applied in the specific patient population.

Developing a nomogram for predicting intravesical recurrence after radical nephroureterectomy: a retrospective cohort study of mainland Chinese patients.

OBJECTIVE: To evaluate the role of Ki-67 in predicting subsequent intravesical recurrence following radical nephroureterectomy and to develop a predictive nomogram for upper tract urothelial carcinoma patients. METHODS: This retrospective analysis involved 489 upper tract urothelial carcinoma patients who underwent radical nephroureterectomy with bladder cuff excision. The data set was randomly split into a training cohort of 293 patients and a validation cohort of 196 patients. Immunohistochemical analysis was used to assess the immunoreactivity of the biomarker Ki-67 in the tumor tissues. A multivariable Cox regression model was utilized to identify independent intravesical recurrence predictors after radical nephroureterectomy before constructing a nomographic model. Predictive accuracy was quantified using time-dependent receiver operating characteristic curve. Decision curve analysis was performed to evaluate the clinical benefit of models. RESULTS: With a median follow-up of 54 months, intravesical recurrence developed in 28.2% of this sample (n = 137). Tumor location, multifocality, pathological T stage, surgical approach, bladder cancer history and Ki-67 expression levels were independently associated with intravesical recurrence (all P < 0.05). The full model, which intercalated Ki-67 with traditional clinicopathological parameters, outperformed both the basic model and Xylinas' model in terms of discriminative capacity (all P < 0.05). Decision-making analysis suggests that the more comprehensive model can also improve patients' net benefit. CONCLUSIONS: This new model, which intercalates the Ki-67 biomarker with traditional clinicopathological factors, appears to be more sensitive than nomograms previously tested across mainland Chinese populations. The findings suggest that Ki-67 could be useful for determining risk-stratified surveillance protocols following radical nephroureterectomy and in generating an individualized strategy based around intravesical recurrence predictions.

Does Xylinas' nomogram accurately predict intravesical recurrence risk after radical nephroureterectomy for primary upper urinary tract urothelial carcinoma when applied to Asian populations?

OBJECTIVE: To validate a prognostic nomogram (Xylinas' nomogram) for intravesical recurrence after radical nephroureterectomy for primary upper urinary tract urothelial carcinoma patients of Asian descent. METHODS: Clinicopathological and survival data from 243 primary urinary tract urothelial carcinoma patients who underwent radical nephroureterectomy with bladder cuff excision between January 2004 and May 2017 were collated. Univariate and multivariable Cox regression analyses were performed to identify independent risk factors associated with intravesical recurrence-free survival. External validation was determined using regression coefficients abstracted from previously published data. Performance was then quantified through calibration and discrimination, according to concordance indexes (c-index) in receiver operating characteristic curves. RESULTS: 163 patients met our eligibility criteria and were finally included in this study. At a median follow-up of 60 months, intravesical recurrence occurred in 29.4% (n = 48). Multivariable analysis revealed that being male, ureteral tumor location, tumor multifocality and previous bladder cancer were independent prognostic factors of intravesical recurrence-free survival. When Xylinas' nomogram was applied to our cohort, the discriminatory power was found to be roughly equivalent with a c-index of 68.3% for the reduced model and 68.4% for the full model. Calibration plots also revealed intravesical recurrence predictions at 3, 6, 12, 18, 24 and 36 months had relative concordance. Contrasting the respective performances of the reduced and full model suggests there is no significant difference between the two (all P > 0.05). CONCLUSIONS: This nomogram appears accurate at predicting intravesical recurrence after radical nephroureterectomy for primary urinary tract urothelial carcinoma in Asian populations. However, it remains necessary to data mine for unknown prognostic factors for optimization. Further external validation is required across larger, ethically diverse populations before applying this nomogram in clinical practice.

Preoperative Monocyte-to-lymphocyte Ratio Predicts for Intravesical Recurrence in Patients With Urothelial Carcinoma of the Upper Urinary Tract After Radical Nephroureterectomy Without a History of Bladder Cancer.

BACKGROUND: This study aimed to investigate the preoperative monocyte-to-lymphocyte ratio (MLR) as a biomarker for intravesical recurrence (IVR) in upper urinary tract urothelial carcinoma (UTUC) after radical nephroureterectomy (RNU) for the first time. PATIENTS AND METHODS: This study involved the clinical data of 255 patients with UTUC without a history of bladder cancer who had undergone RNU from March 2004 to February 2019 at an academic institution. The associations between MLR and IVR were assessed with Kaplan-Meier method and Cox regression analysis. RESULTS: The median follow-up was 43.93 months. Of the 255 patients, 37 developed IVR during the follow-up period. Kaplan-Meier analysis revealed that patients with high MLR (> 0.22) had poor IVR-free survival (P = .001); this prognostic value was in accordance with patients with high grade and more advanced stage UTUC. Cox regression preoperative models showed that ureteral tumor site (hazard ratio [HR], 2.784; P = .005), surgical approach (HR, 2.745; P = .008), and high MLR (HR, 4.085; P < .001) were an independent risk factor for IVR. These factors were used as a signature to establish a prognostic risk model, which revealed significant differences among the 3 subgroups of patients with low, intermediate, and high risk (P < .001). CONCLUSION: Ureteral tumor site, surgical approach, and preoperative MLR are significant predictors for IVR in patients with UTUC after RNU. MLR may become a useful biomarker to predict IVR in patients with UTUC after RNU.

Oncological impact of different distal ureter managements during radical nephroureterectomy for primary upper urinary tract urothelial carcinoma.

BACKGROUND: The current standard surgical treatment for non-metastatic upper urinary tract urothelial carcinoma (UTUC) is radical nephroureterectomy (RNU) with bladder cuff excision (BCE). Typically, BCE techniques are classified in one of the following three categories: An open technique described as intrasvesical incision of the bladder cuff, a transurethral incision of the bladder cuff (TUBC), and an extravesical incision of the bladder cuff (EVBC) method. Even though each of these management techniques are widely used, there is no consensus about which surgical intervention is superior, with the best oncologic outcomes. AIM: To investigate the oncological outcomes of three BCE methods during RNU for primary UTUC patients. METHODS: We retrospectively analyzed the data of 248 primary UTUC patients, who underwent RNU with BCE between January 2004 to December 2018. Patients were analyzed according to each BCE method. Data extracted included patient demographics, perioperative parameters, and oncological outcomes. Statistical analyses were performed using chi-square and log-rank tests. The Cox proportional hazards regression model was utilized to identify independent predictors. P < 0.05 was considered statistically significant. RESULTS: Of the 248 participants, 39.9% (n = 99) underwent intrasvesical incision of the bladder cuff, 38.7% (n = 96) EVBC, and 21.4% (n = 53) TUBC. At a median follow-up of 44.2 mo, bladder recurrence developed in 17.2%, 12.5%, and 13.2% of the cases, respectively. Cancer-specific deaths occurred in 11.1%, 5.2%, and 7.5% of patients, respectively. Kaplan-Meier survival curves with a log-rank test highlighted no significant differences in intravesical recurrence-free survival, cancer-specific survival, and overall survival among these approaches with P values of 0.987, 0.825, and 0.497, respectively. Multivariate analysis showed that the lower ureter location appears to have inferior intravesical recurrence-free survival (P = 0.042). However, cancer-specific survival and overall survival were independently influenced by tumor stage (hazard ratio [HR] = 8.439; 95% confidence interval: 2.424-29.377; P = 0.001) and lymph node status (HR = 14.343; 95%CI: 5.176-39.745; P < 0.001). CONCLUSION: All three techniques had comparable outcomes; although, EVBC and TUBC are minimally invasive. While based upon rather limited data, these findings will support urologists in blending experience with evidence to inform patient choices. However, larger, rigorously designed, multicenter studies with long term outcomes are still required.

Identification of significant genes with prognostic influence in clear cell renal cell carcinoma via bioinformatics analysis.

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is the most common malignant tumor of kidney with high mortality. The pathogenesis of ccRCC is complicated and effective prognostic predictors for clinical practice are still limited. This study aimed to identify significant genes with prognostic influence in ccRCC via bioinformatics analysis. METHODS: Four gene expression profiles were acquired from the Gene Expression Omnibus (GEO) database, including 168 ccRCC tissues and 143 normal tissues. Common differentially expressed genes (DEGs) between ccRCC tissues and normal kidney tissues were screened out. Then gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were investigated. Protein-protein interaction (PPI) network of the common DEGs was diagrammed and analyzed. Kaplan-Meier analysis was conducted to identify genes with prognostic influence in ccRCC. Gene Expression Profiling Interactive Analysis (GEPIA) was finally applied to validating differential expression of genes. RESULTS: Ninety-nine common DEGs between ccRCC tissues and normal kidney tissues were eventually screened out (P<0.05, |log FC| >2). GO functional analysis showed that the down-regulated genes were enriched in excretion, negative regulation of cell proliferation, heparin binding and cellular response to BMP stimulus, etc. KEGG pathway analysis indicated that the common DEGs were particularly enriched in HIF-1 signaling pathway and aldosterone-regulated sodium reabsorption. Seven core DEGs were distinguished through PPI network analysis, of which 6 core genes ANGPTL4, CA9, CXCR4, LOX, EGF and HRG showed significantly prognostic difference in patients with ccRCC by Kaplan-Meier analysis (P<0.05). And GEPIA confirmed these genes were expressed differentially between tumor and normal tissues (P<0.05). High expression of HRG was correlated with good OS in ccRCC patients. Specifically, HRG was commonly down-regulated in ccRCC tissues compared with normal tissues according to GEPIA. CONCLUSIONS: Our study shows that high expression of HRG denotes a better prognosis in ccRCC patients. HRG is down-regulated in ccRCC tissues compared with normal kidney tissues. The selective expression pattern suggests that HRG could be a novel prognostic predictor and potential therapeutic target for ccRCC patients.

Transcriptome profiling reveals insertional mutagenesis suppressed the expression of candidate pathogenicity genes in honeybee fungal pathogen, Ascosphaera apis.

Chalkbrood disease is caused by Ascosphaera apis which severely affects honeybee brood. Spore inoculation experiments shown pathogenicity varies among different strains and mutants, however, the molecular mechanism of pathogenicity is unclear. We sequenced, assembled and annotated the transcriptomes of wild type (SPE1) and three mutants (SPE2, SPE3 and SPE4) with reduced pathogenicity that were constructed in our previous study. Illumina sequencing generated a total of 394,910,604 clean reads and de novo Trinity-based assembled into 12,989 unigenes, among these, 9,598 genes were successfully annotated to known proteins in UniProt database. A total of 172, 3,996, and 650 genes were up-regulated and 4,403, 2,845, and 3,016 genes were down-regulated between SPE2-SPE1, SPE3-SPE1, and SPE4-SPE1, respectively. Overall, several genes with a potential role in fungal pathogenicity were detected down-regulated in mutants including 100 hydrolytic enzymes, 117 transcriptional factors, and 47 cell wall related genes. KEGG pathway enrichment analysis reveals 216 genes involved in nine pathways were down-regulated in mutants compared to wild type. The down-regulation of more pathways involved in pathogenicity in SPE2 and SPE4 than SPE3 supports their lower pathogenicity during in-vitro bioassay experiment. Expression of 12 down-regulated genes in mutants was validated by quantitative real time PCR. This study provides valuable information on transcriptome variation caused by mutation for further functional validation of candidate pathogenicity genes in A. apis.