Exploring Novel Genome Instability-associated lncRNAs and their Potential Function in Pan-Renal Cell Carcinoma.

OBJECTIVE: Genomic instability can drive clonal evolution, continuous modification of tumor genomes, and tumor genomic heterogeneity. The molecular mechanism of genomic instability still needs further investigation. This study aims to identify novel genome instabilityassociated lncRNAs (GI-lncRNAs) and investigate the role of genome instability in pan-Renal cell carcinoma (RCC). MATERIALS AND METHODS: A mutator hypothesis was employed, combining the TCGA database of somatic mutation (SM) information, to identify GI-lncRNAs. Subsequently, a training cohort (n = 442) and a testing cohort (n = 439) were formed by randomly dividing all RCC patients. Based on the training cohort dataset, a multivariate Cox regression analysis lncRNAs risk model was created. Further validations were performed in the testing cohort, TCGA cohort, and different RCC subtypes. To confirm the relative expression levels of lncRNAs in HK-2, 786-O, and 769-P cells, qPCR was carried out. Functional pathway enrichment analyses were performed for further investigation. RESULTS: A total of 170 novel GI-lncRNAs were identified. The lncRNA prognostic risk model was constructed based on LINC00460, AC073218.1, AC010789.1, and COLCA1. This risk model successfully differentiated patients into distinct risk groups with significantly different clinical outcomes. The model was further validated in multiple independent patient cohorts. Additionally, functional and pathway enrichment analyses revealed that GI-lncRNAs play a crucial role in GI. Furthermore, the assessments of immune response, drug sensitivity, and cancer stemness revealed a significant relationship between GI-lncRNAs and tumor microenvironment infiltration, mutational burden, microsatellite instability, and drug resistance. CONCLUSIONS: In this study, we discovered four novel GI-lncRNAs and developed a novel signature that effectively predicted clinical outcomes in pan-RCC. The findings provide valuable insights for pan-RCC immunotherapy and shed light on potential underlying mechanisms.

Risk factors for lymphorrhea and lymphocele after radical prostatectomy: a retrospective case-control study.

PURPOSE: To investigate the risk factors for postoperative lymphorrhea or/and lymphocele (PLL) in patients undergoing radical prostatectomy (RP). MATERIALS AND METHODS: The clinical data of 606 patients were retrospectively collected. The receiver operating characteristic (ROC) curve was utilized to identify the optimal cutoff value. Multivariable logistic regression analysis was used to screen the independent predictors of PLL. RESULTS: Univariate analysis showed that nine factors differed between the PLL and non-PLL group. Multivariable logistic regression analysis showed that low preoperative fibrinogen level, extraperitoneal surgery, robot-assisted laparoscopic radical prostatectomy (RALRP), and hypoalbuminemia were risk factors and the use of fibrin glue was a protective factor. Correlation analysis showed that the scope of LN dissection (LND) and number of lymph nodes (LNs) dissected were positively correlated with PLL in the extraperitoneal approach, but were not significantly correlated with PLL in the transperitoneal approach. The use of fibrin glue was negatively associated with PLL in the overall procedure and the extraperitoneal approach, but not significantly so in the transperitoneal approach. Comparison of LNs clearance between the two surgical approaches revealed that the extent of LND and number of LNs dissected in the extraperitoneal approach were less than in the transperitoneal approach. CONCLUSION: During RALRP, more attention should be paid to fully clotting the broken end of lymphatic vessels. The use of fibrin glue could reduce the probability of PLL. The extent of LND or number of LNs dissected were positively correlated with PLL in the extraperitoneal approach.

Head-to-head comparisons of [68Ga]Ga-PSMA-11 PET/CT, multiparametric MRI, and prostate-specific antigen for the evaluation of therapeutic responses to neoadjuvant chemohormonal therapy in high-risk non-metastatic prostate cancer patients: a prospective study.

PURPOSE: The optimal tool to evaluate the tumour therapeutic responses to neoadjuvant chemohormonal therapy (NCHT) in patients with high-risk non-metastatic prostate cancer (PCa) remains uncertain. We compared the role of [68Ga]-labeled prostate-specific membrane antigen (PSMA)-11 positron emission tomography/computerized tomography ([68Ga]Ga-PSMA-11 PET/CT), multiparametric MRI (mpMRI), and prostate-specific antigen (PSA) and assessed the practical value of the recent European Association of Urology and European Association of Nuclear Medicine (EAU/EANM) recommended criteria of PSMA PET/CT to evaluate the therapeutic responses to NCHT in patients with high-risk non-metastatic PCa. METHODS: This prospective study included 72 high-risk non-metastatic PCa patients receiving NCHT followed by radical prostatectomy from June 2021 to March 2022. PSA testing, [68Ga]Ga-PSMA-11 PET/CT, and mpMRI scanning were conducted in all patients before and after NCHT. Therapeutic responses to NCHT were evaluated with PSA, RECIST 1.1, PERCIST 1.0, and EAU/EANM recommended criteria. Postoperative pathological results were considered the reference standard. A favourable pathological response was defined as pathologic complete remission (pCR) or minimal residual disease (MRD). Diagnostic accuracy was assessed by sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), positive predictive value (PPV), negative predictive value (NPV), and Cohen's kappa index. Logistic regression analysis was used to determine the independent predictive value of [68Ga]Ga-PSMA-11 PET/CT-derived parameters. RESULTS: All cases experienced a marked decrease in PSA levels after NCHT. Twenty-four (33.33%) cases experienced a favourable pathological response, including five (6.94%) cases of pCR and 19 (26.39%) cases of MRD. According to the results of [68Ga]Ga-PSMA-11 PET/CT, EAU/EANM recommended criteria indicated that 20 (27.78%) cases had a CR, whereas PERCIST 1.0 criteria indicated that 23 (31.94%) cases had a CR. There was a strong association between EAU/EANM recommended criteria and PERCIST 1.0 criteria (Pearson's R=0.857). The sensitivity (75.00%, 79.17% vs. 58.33%, 58.33%), specificity (95.83%, 91.67% vs. 83.33%, 68.75%), PLR (18.00, 9.50 vs. 3.50, 1.87), NLR (0.26, 0.23 vs. 0.50, 0.61), PPV (90.0%, 82.6% vs. 63.6%, 48.3%), and NPV (88.5%, 89.8% vs. 80.0%, 76.7%) of [68Ga]Ga-PSMA-11 PET/CT (including EAU/EANM recommended criteria and PERCIST 1.0 criteria) to predict favourable pathological responses were all superior to those of mpMRI and nadir PSA. The kappa index to predict a favourable pathological response was 0.257 for PSA, 0.426 for RECIST 1.1, 0.716 for PERCIST 1.0, and 0.739 for EAU/EANM recommended criteria. Multivariate logistic analysis revealed that the post-NCHT maximum standardized uptake value (SUVmax) before radical prostatectomy was an independent predictor of a favourable pathological response to NCHT. CONCLUSIONS: [68Ga]Ga-PSMA-11 PET/CT had a better concordance with a favourable pathological response to NCHT compared with nadir PSA and mpMRI. EAU/EANM recommended criteria and PERCIST 1.0 criteria performed equally to identify pathological responders when [68Ga]Ga-PSMA-11 PET/CT was used as a therapeutic response assessment tool.

Low TLR and PSMA-TV predict biochemical response to abiraterone acetate in metastatic prostate cancer patients developing castration resistance after chemohormonal therapy at hormone-sensitive stage.

OBJECTIVE: To explore whether 68Ga-PSMA-11 PET/CT-derived parameters could predict biochemical response to abiraterone acetate (AA) treatment and prognosis in metastatic prostate cancer patients developing castration resistance after chemohormonal therapy at hormone-sensitive stage. METHODS: The clinicopathologic data of 106 mCRPC cases receiving AA treatment were retrospectively analyzed. Logistic regression analysis was used to determine the independent predictors of biochemical response to AA treatment. Cox analyses were applied to investigate the independent prognostic factors for time to biochemical progression (TTBP) and radiological progression-free survival (rPFS). Survival analysis and ROC curve were also used. RESULTS: Multivariable Logistic analysis demonstrated that prior ADT duration ≥ 12 months, low prostate specific membrane antigen receptor-expressing tumor volume (PSMA-TV), low tumor to liver ratio (TLR) were independent predictors of biochemical response to AA treatment. Multivariate Cox analysis demonstrated that low PSMA-TV and low TLR were independent prognostic factors of longer TTBP and rPFS. The TTBP and rPFS of patients with higher PSMA-TV or TLR were significantly decreased compared with that of patients with lower PSMA-TV and TLR. The area under ROC curve (AUC) of combining ADT duration, PSMA-TV and TLR was 0.82 for predicting biochemical response to AA, which was significantly increased compared with that of other 68Ga-PSMA-11 PET/CT-derived parameters alone. CONCLUSIONS: Low PSMA-TV, low TLR were vital independent predictors of biochemical response to AA treatment and were associated with preferable prognosis in mCRPC patients. Combining ADT duration, PSMA-TV and TLR performed well in distinguishing AA responders from non-responders in mCRPC patients.

A Novel Tumor Mutation Burden Related lncRNA Signature Identified Prognosis and Tumor Immune Microenvironment Features in Clear Cell Renal Cell Carcinoma.

BACKGROUND: Emerging evidence indicates that long noncoding RNA (lncRNA) plays an important biological role in clear cell renal cell carcinoma (ccRCC); however, the clinical value of tumor mutation burden-related lncRNA in ccRCC patients is unknown yet. METHODS: Somatic mutation profiles and lncRNA expression data of ccRCC were downloaded from the TCGA database. We retrospectively analyzed lncRNA expression data and survival information from 116 patients with ccRCC fromJanuary 2013 to January 2014. Univariate and multivariate Cox regression analyses were performed to construct lncRNA signature, and the prognosis value was determined by Kaplan-Mayer and receiver operating characteristic curve (ROC) analysis. RESULTS: Based on 160 differentially expressed TMB-related lncRNAs, two TMB-related molecular clusters with distinct immune checkpoints expression and immune cells infiltration were established for ccRCC patients. Moreover, a novel TMB-related lncRNA signature was constructed based on five lncRNAs for individualized prognosis assessment. High-risk group represents significantly worse overall survival in all cohorts. The area under the ROC curve was 0.716, 0.775 and 0.744 in the training cohort, testing cohort and TCGA cohort, respectively. Results of qRT-PCR successfully validated the expression levels of AP002360.3, LINC00460, AL590094.1, LINC00944 and LINC01843 in HK-2, 786-O, 769-P and ACHN cells. More importantly, the predictive performance of TMB-related lncRNA signature was successfully validated in an independent cohort of 116 ccRCC patients at our institution. CONCLUSION: This study successfully developed and validated a novel TMB-related lncRNA signature for individualized prognosis assessment of ccRCC patients.

A radiation resistance related index for biochemical recurrence and tumor immune environment in prostate cancer patients.

PURPOSE: To establish and verify a novel radiation resistance related index for predicting biochemical recurrence and tumor immune environment in prostate cancer (PCa) patients. MATERIALS AND METHODS: The transcriptome information of PCa were obtained from GEO and TCGA portal. We identified radiation resistance related genes (RRGs) between radioresistant and radiosensitive PCa cells. We conducted multivariate Cox analysis to construct a novel radiation resistance related index for predicting biochemical recurrence (BCR)-free survival (BCRFS). Internal and external validations were conducted. Preliminary experimental verifications were performed. RESULTS: We identified 194 differentially expressed RRGs and three radiation resistance related molecular clusters for PCa. Moreover, we established a novel radiation resistance related index and succeeded in conducting internal and external validations. High-risk populations meant significantly worse BCRFS in training, testing and validating cohort. The area under receiver operating characteristic curve were 0.809, 0.698, and 0.712 in training, testing, and validating cohort. The immune microenvironment was significantly different between high and low-risk score patients. Preliminary experiment identified and validated three potential biomarkers related to radiation resistance (ZNF695, TM4SF19, CCDC3) of PCa. CONCLUSIONS: This study successfully established and verified a novel radiation resistance related index, which had an excellent performance in predicting BCR and tumor immune microenvironment in patients with PCa.

Preoperative abdominal fat distribution and systemic immune inflammation were associated with response to intravesical Bacillus Calmette-Guerin immunotherapy in patients with non-muscle invasive bladder cancer.

OBJECTIVE: To investigate the predictors of response to intravesical Bacillus Calmette-Guerin (BCG) immunotherapy for intermediate and high-risk non-muscle invasive bladder cancer (NMIBC) patients. MATERIALS AND METHODS: We retrospectively analyzed the clinicopathological data of 184 intermediate and high risk NMIBC cases receiving transurethral resection of bladder tumor (TURBT) and intravesical BCG immunotherapy from December 2014 to April 2021 at our center. All patients were divided into BCG responders and non-responders. Multivariate Logistic regression analysis was performed to identify the independent predictors of response to intravesical BCG immunotherapy. Univariate and multivariate Cox regression analyses were applied to explore the independent prognostic factors of recurrence-free survival (RFS). Receiver operating characteristic (ROC) curve and Kaplan-Meier survival analysis were also utilized. RESULTS: The RFS of BCG responders was significantly increased compared with BCG non-responders. Multivariate Cox regression analysis demonstrated that low grade, pTa stage, non-CIS, lower relative visceral fat area (rVFA) and lower systemic immune inflammation index (SII) were independent prognostic factors of increased RFS after intravesical BCG immunotherapy. Multivariate Logistic regression analysis demonstrated that pTa stage, low grade, non-CIS, low rVFA, and low SII were independent predictors of response to intravesical BCG immunotherapy. Kaplan-Meier survival analysis indicated that the RFS of patients in low rVFA group or low SII group was significantly increased in comparison with those in high rVFA group or high SII group. ROC curve analysis showed that the area under ROC (AUC) of including SII and rVFA was significantly increased, indicating that the inclusion of preoperative SII and rVFA could significantly improve the predictive efficiency. CONCLUSIONS: Low grade, pTa stage, non-CIS, preoperative lower rVFA and lower SII were vital independent predictors of response to intravesical BCG immunotherapy and were associated with preferable prognosis in NMIBC patients. The inclusion of preoperative SII and rVFA could significantly improve the predictive efficiency.

Identification of vital prognostic genes related to tumor microenvironment in pheochromocytoma and paraganglioma based on weighted gene co-expression network analysis.

Pheochromocytoma and paraganglioma (PCPG) is a rare neuroendocrine tumor. This study aims to identify vital prognostic genes which were associated with PCPG tumor microenvironment (TME). We downloaded transcriptome data of PCPG from TCGA database and calculated the immune scores and stromal scores by using the ESTIMATE algorithm. DEGs related to TMB were then identified. We conducted WGCNA to further extract the TME-related modules. GO, KEGG pathway analysis, and PPI network were performed. Survival analysis was conducted to identify the hub genes associated with the prognosis of PCPG. A total of 150 PCPG samples were included in this study. We obtained 1507 and 2067 DEGs based on immune scores and stromal scores, respectively. WGCNA analysis identified the red module and brown module were correlated with immune sores while the turquoise module and red module were significantly associated with stromal scores. Functional enrichments analysis revealed that 307 TME-related genes were correlated with the inflammation or immune response. Survival analysis showed that three TME-relate genes (ADGRE1, CCL18, and LILRA6) were associated with PCPG prognosis. These three hub genes including ADGRE1, CCL18, and LILRA6 might be involved in the progression of PCPG and could serve as potential biomarkers and novel therapeutic targets.

Development and Validation of Hub Genes for Adrenal Aldosterone-Producing Adenoma by Integrated Bioinformatics Analysis.

OBJECTIVE: To develop and validate hub genes involving in the development and progression of primary aldosteronism (PA) and adrenal aldosterone-producing adenoma (APA). MATERIALS AND METHODS: A total of four datasets of gene expression profiles related to APA were downloaded from GEO datasets. GSE60042 and GSE8514 were used to identify DEGs. Weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network module analysis were conducted. GO and KEGG enrichment analysis was performed. GSE10927 and GSE33371 were used for further external validation. RESULTS: We identified a total of 892 DEGs from GSE60042 and 1167 DEGs from GSE8514. WGCNA analysis demonstrated that the blue module (255 genes) and turquoise module (303 genes) were significantly correlated with APA. PPI networks were then constructed. GO term enrichment analysis suggested that cellular divalent inorganic cation homeostasis, calcium ion homeostasis, collagen-containing extracellular matrix, transport vesicle and metal ion transmembrane transporter activity were the vital annotations. KEGG pathway analysis found that these genes were significantly enriched in neuroactive ligand-receptor interaction, calcium signaling pathway. Finally, we identified a total of 11 candidate genes involving in the development and progression of APA and PA. Besides, two independent datasets (GSE10927 and GSE33371) were used for external validation, and there were seven hub genes successfully verified, including C3, GRM3, AVPR1A, WFS1, PTGFR, NTSR2, and JUN. CONCLUSION: These newly identified genes could contribute to the understanding of potential mechanism in APA and PA and might be promising targets for the treatment of APA and PA.

Risk factors for intraoperative cyst rupture in partial nephrectomy for cystic renal masses.

PURPOSE: To determine the risk factors of intraoperative cyst rupture in partial nephrectomy (PN) for a cystic renal mass (CRM) and their effect on the prognosis of patients. MATERIALS AND METHODS: Patients who underwent partial nephrectomy for CRMs from January 2009 to January 2015 were included. Uni/multivariate Logistic/Cox analysis and Kaplan-Meier analysis were performed. RESULTS: A total of 174 patients were included in this study. There were 27 (15.5%) intraoperative cyst ruptures. The median follow-up time was 60 months. Multivariate logistic analysis showed that the E component (P = 0.018) and N component (P = 0.022) of the R.E.N.A.L. nephrometry score, Bosniak category III (P = 0.044), and surgeon's experience (P = 0.030) were risk factors associated with intraoperative cyst rupture in PN for CRMs. The 5-year recurrence-free survival (RFS), cancer-free survival (CFS) and overall survival (OS) were 92.7%, 90.32% and 94.4%, respectively, in 124 cases of malignant CRM. Kaplan-Meier analysis demonstrated that 5-year RFS and 5-year CFS in patients with cyst rupture was worse than those without cyst rupture (P = 0.006 and 0.003, respectively). Multivariate Cox analysis revealed that intraoperative cyst rupture was independent risk factor for 5-year RFS and 5-year CFS (P = 0.039 and 0.013, respectively). However, there was no significant difference in OS between the two groups (P = 0.275). CONCLUSIONS: The prevalence of intraoperative cyst rupture is relatively high. Higher E and N scores, Bosniak category III, and lacking surgical experience (<20 cases) increase the risk of occurrence of intraoperative cyst rupture.

Identification of key genes and pathways in castrate-resistant prostate cancer by integrated bioinformatics analysis.

OBJECTIVE: To identify hub genes and pathways involved in castrate-resistant prostate cancer (CRPC). METHODS: The gene expression profiles of GSE70768 were downloaded from Gene Expression Omnibus (GEO) datasets. A total of 13 CRPC samples and 110 tumor samples were identified. The differentially expressed genes (DEGs) were identified, and the gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analysis was performed. Protein-protein interaction (PPI) network module analysis was constructed and performed in Cytoscape software. Weighted correlation network analysis (WGCNA) was conducted to determine hub genes involved in the development and progression of CRPC. The gene expression profiles of GSE80609 were used for validation. RESULTS: A total of 1738 DEGs were identified, consisting of 962 significantly down-regulated DEGs and 776 significantly upregulated DEGs for the subsequent analysis. GO term enrichment analysis suggested that DEGs were mainly enriched in the extracellular matrix organization, extracellular exosome, extracellular matrix, and extracellular space. KEGG pathway analysis found DEGs significantly enriched in the focal adhesion pathway. PPI network demonstrated that the top 10 hub genes were ALB, ACACB, KLK3, CDH1, IL10, ALDH1A3, KLK2, ALDH3B2, HBA1, COL1A1. Also, WGCNA identified the top 5 hub genes in the turquoise module, including MBD4, BLZF1, PIP5K2B, ZNF486, LRRC37B2. Plus, the Venn diagram demonstrated that HBA1 was the key gene in both GSE70768 and GSE80609 datasets. CONCLUSIONS: These newly identified genes and pathways could help urologists understand the differences in the mechanism between CRPC and PCa. Besides, it might be promising targets for the treatment of CRPC.

Up-regulation of LIMK1 expression in prostate cancer is correlated with poor pathological features, lymph node metastases and biochemical recurrence.

This study aimed to explore the association between LIM domain kinase 1 (LIMK1) expression in prostate cancer (PCa) tissues with advanced pathological features, lymph node metastases and biochemical recurrence. A total of 279 PCa specimens from patients who underwent radical prostatectomy and 50 benign prostatic hyperplasia (BPH) specimens were collected to construct tissue microarray, which were subjected to immunohistochemical staining for LIMK1 expression subsequently. Logistic and Cox regression analysis were used to evaluate the relationship between LIMK1 expression and clinicopathological features of patients with PCa. Immunohistochemical staining assay demonstrated that LIMK1 expression was significantly higher in PCa than BPH specimens (77.1% vs 26.0%; P < .001). LIMK1 expression was significantly higher in positive lymph node specimens than corresponding PCa specimens (P = .002; P < .001). Up-regulation of LIMK1 was associated with prostate volume, prostate-specific antigen, prostate-specific antigen density, Gleason score, T stage, lymph node metastases, extracapsular extension and seminal vesicle invasion, and positive surgical margin. Multivariate logistic regression analysis demonstrated that LIMK1 was an independent risk factor for PCa lymph node metastasis (P < .05). Multivariate Cox regression analysis revealed that the up-regulation of LIMK1 was an independent risk factor for biochemical recurrence. Kaplan-Meier analysis indicated that up-regulation LIMK1 was associated with shortened biochemical-free survival (BFS) after radical prostatectomy (P < .001). In conclusion, LIMK1 was significantly up-regulated in PCa and positive lymph node specimens and correlated with lymph node metastasis and shortened BFS of PCa. The underlying molecular mechanism of LIMK1 in PCa should be further evaluated.

Identification of a five-mRNA signature as a novel potential prognostic biomarker in pediatric Wilms tumor.

BACKGROUND: The aim of this study was to generate a prognostic model to predict survival outcome in pediatric Wilms tumor (WT). METHODS: The data including mRNA expression and clinical information of pediatric WT patients were downloaded from the Therapeutically Available Research to Generate Effective Treatments (TARGET) database. The differentially expressed genes were identified and a prognostic signature of pediatric WT was generated according to the results of univariate and multivariate Cox analysis. Receiver operating characteristic (ROC) curve was used to evaluate the five-mRNA signature in pediatric Wilms tumor patients. Bootstrap test with 500 times was used to perform the internal validation. RESULTS: We identified 6,964 differentially expressed mRNAs associated with pediatric WT, including 3,190 downregulated mRNAs and 3,774 up-regulated mRNAs. Univariate and multivariate Cox analysis identified five mRNAs (SPRY1, SPIN4, MAP7D3, C10orf71, and SPAG11A) to establish a predictive model. The risk score formula is as follows: Risk score = 0.3036*SPIN4 + 0.8576*MAP7D3 -0.1548*C10orf71 -0.7335*SPRY1 -0.2654*SPAG11A. The pediatric WT patients were divided into low-risk group and high-risk group based on the median risk score (value = 1.1503). The receiver operating characteristic (ROC) curve analysis revealed good performance of the 5-mRNA prognostic model (the area under the curve [AUC] was 0.821). Bootstrap test (Bootstrap resampling times = 500) was used to perform the internal validation and revealed that the AUC was 0.822. REACTOME, KEGG, and BIOCARTA pathway analyses demonstrated that these survival-related genes were mainly enriched in ErbB2 and ErbB3 signaling pathways, and calcium signaling pathway. CONCLUSION: The five-mRNA signature can predict the prognosis of patients with pediatric WT. It has significant implication in the understanding of therapeutic targets for pediatric WT patients. However, further study is needed to validate this five-mRNA signature and uncover more novel diagnostic or prognostic mRNAs candidates in pediatric WT patients.

Identification of key genes and pathways in benign prostatic hyperplasia.

Benign prostatic hyperplasia (BPH) is one of the most common causes of lower urinary tract symptoms (LUTS) in elderly man. However, the underlying molecular mechanisms of BPH have not been completely elucidated. We identified the key genes and pathways by using analysis of Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified using edgeR. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed for the DEGs by Database for Annotation, Visualization and Integrated Discovery (DAVID) database and ConsensusPathDB, respectively. Then, protein-protein interaction (PPI) networks were established by the Search Tool for the Retrieval of Interacting Genes (STRING) database and visualized by Cytoscape software. Finally, we identified 660 DEGs ultimately including 268 upregulated genes and 392 downregulated genes. GO analysis revealed that DEGs were mainly enriched in extracellular exosome, identical protein binding, mitochondrial adenosine triphosphate (ATP) synthesis coupled proton transport, extracelluar matrix, focal adhesion, cytosol, Golgi apparatus, cytoplasm, protein binding, and Golgi membrane. Focal adhesion pathway, FoxO signaling pathway, and autophagy pathway were selected. Ubiquitin-conjugating enzyme E2 C (UBE2C), serine/threonine kinase (AKT1), mitogen-activated protein kinase 1 (MAPK1), cyclin B1 (CCNB1), polo-like kinase 1 (PLK1) were filtrated as the hub genes according to the degree of connectivity from the PPI network. The five hub genes including UBE2C, AKT1, MAPK1, CCNB1, PLK1 may play key roles in the pathogenesis of benign prostatic hyperplasia (BPH). Focal adhesion pathway, FoxO signaling pathway, and autophagy pathway may be crucial for the progression of BPH.

Building a Competing Endogenous RNA Network to Find Potential Long Non-Coding RNA Biomarkers for Pheochromocytoma.

BACKGROUND/AIMS: Accumulating evidence has shown that long non-coding RNAs (lncRNAs) in competing endogenous RNA (ceRNA) networks play crucial roles in tumor survival and patient prognosis; however, studies investigating ceRNA networks in pheochromocytoma (PCC) are lacking. In this study, we investigated the pathogenesis of PCC and whether lncRNAs acting through ceRNAs networks were associated with prognosis. METHODS: A total of 183 PCC samples and 3 control samples from The Cancer Genome Atlas database were analyzed. The Empirical Analysis of Digital Gene Expression Data package in R (edgeR) was used to analyze differentially expressed RNAs. Biological processes and pathways functional enrichment analysis were performed based on the Database for Annotation, Visualization, and Integrated Discovery (DAVID) database. LncRNA/mRNA/miRNA ceRNA network was constructed by Cytoscape v3.0 software based on the differentially expressed RNAs Survival package in R was used to perform survival analysis. RESULTS: In total, 554 differentially expressed lncRNAs, 1775 mRNAs and 40 miRNAs were selected for further analysis. Subsequently, 23 lncRNAs, 22 mRNAs, and 6 miRNAs were included in the constructed ceRNA network. Meanwhile, two of the 23 lncRNAs (C9orf147 and BSN-AS2) were identified as independent predictors of overall survival in PCC patients (P< 0.05). CONCLUSION: This study improves the understanding of lncRNA-related ceRNA networks in PCC and suggests that the lncRNAs C9orf147 and BSN-AS2 could be independent prognostic biomarkers and potential therapeutic targets for PCC.

Risk factors for infectious complications following transrectal ultrasound-guided prostate biopsy.

OBJECTIVE: To explore risk factors of infectious complications following transrectal ultrasound-guided prostate biopsy (TRUSPB). METHODS: We retrospectively analyzed 1,203 patients with suspected prostate cancer who underwent TRUSPB at our center between December 2012 and December 2016. Demographics, clinical characteristics, and data regarding complications were collected, and then univariate and multivariate logistic regression analyses were used to identify independent risk factors for infectious complications after prostate biopsy. RESULTS: Multivariate logistic analysis demonstrated that body mass index (BMI) (OR=2.339, 95% CI 2.029-2.697, P<0.001), history of diabetes (OR=2.203, 95% CI 1.090-4.455, P=0.028), and preoperative catheterization (OR=2.303, 95% CI 1.119-4.737, P=0.023) were risk factors for infection after prostate biopsy. The area under the receiver operating characteristics curve for infectious complications was 0.930 (95% CI 0.907-0.953, P<0.001). BMI=28.196 kg/m2 was the best cut-off threshold for predicting infection after TRUSPB. CONCLUSION: BMI >28.196 kg/m2, history of diabetes, and preoperative catheterization are independent risk factors for infection after prostate biopsy.

Older Age and Larger Prostate Volume Are Associated with Stress Urinary Incontinence after Plasmakinetic Enucleation of the Prostate.

Background. To investigate the factors associated with the occurrence of and recovery from stress urinary incontinence (SUI) after plasmakinetic enucleation of the prostate (PKEP). Materials and Methods. This retrospective study enrolled 1,288 patients with benign prostatic hyperplasia treated with plasmakinetic enucleation from January 2008 to January 2015, collecting demographics and clinical parameters. SUI was defined as a patient complaint of involuntary urine leak, including stress or mixed urinary incontinence. Logistic regression analysis was used to investigate the factors associated with the occurrence of SUI. Results. SUI after PKEP occurred in 80 of 1,288 patients (6.2%), 73 of whom (91.3%) recovered within 3 months and 78 of whom (97.5%) recovered within 6 months. In multivariate regression analysis of factors that were significant in univariate analysis, the factors that were significantly associated with postoperative SUI were age ≥ 70 years (odds ratio [OR] = 9.239; 95% confidence interval [CI] = 4.616-18.495; P < 0.001) and prostate volume on transrectal ultrasound ≥ 90 mL (OR = 15.390; 95% CI = 8.077-29.326; P < 0.001). Conclusions. SUI occurred in 6.2% patients after PKEP and was associated with older age and larger prostate volume. We suggest that age and prostate volume be considered in preoperative candidate selection before PKEP to reduce the occurrence of postoperative SUI.

Comparison of the efficacy and feasibility of en bloc transurethral resection of bladder tumor versus conventional transurethral resection of bladder tumor: A meta-analysis.

BACKGROUND: The aim of this meta-analysis was to compare the feasibility of en bloc transurethral resection of bladder tumor (ETURBT) versus conventional transurethral resection of bladder tumor (CTURBT). METHODS: Relevant trials were identified in a literature search of MEDLINE, EMBASE, Cochrane Library, Web of Science, and Google Scholar using appropriate search terms. All comparative studies reporting participant demographics, tumor characteristics, study characteristics, and outcome data were included. RESULTS: Seven trials with 886 participants were included, 438 underwent ETURBT and 448 underwent CTURBT. There was no significant difference in operation time between 2 groups (P = 0.38). The hospitalization time (HT) and catheterization time (CT) were shorter in ETURBT group (mean difference[MD] -1.22, 95% confidence interval [CI] -1.63 to -0.80, P < 0.01; MD -0.61, 95% CI -1.11 to -0.11, P < 0.01). There was significant difference in 24-month recurrence rate (24-month RR) (odds ratio [OR] 0.66, 95% CI 0.47-0.92, P = 0.02). The rate of complication with respect to bladder perforation (P = 0.004), bladder irritation (P < 0.01), and obturator nerve reflex (P < 0.01) was lower in ETURBT. The postoperative adjuvant intravesical chemotherapy was evaluated by subgroup analysis, and 24-month RR in CTURBT is higher than that in ETURBT in mitomycin intravesical irrigation group (P = 0.02). CONCLUSION: The first meta-analysis indicates that ETURBT might prove to be preferable alternative to CTURBT management of nonmuscle invasive bladder carcinoma. ETURBT is associated with shorter HT and CT, less complication rate, and lower recurrence-free rate. Moreover, it can provide high-qualified specimen for the pathologic diagnosis. Well designed randomized controlled trials are needed to make results comparable.

Reduced Connexin 43 expression is associated with tumor malignant behaviors and biochemical recurrence-free survival of prostate cancer.

Connexin 43, a gap junction protein, coordinates cell-to-cell communication and adhesion. Altered Connexin 43 expression associated with cancer development and progression. In this study, we assessed Connexin 43 expression for association with clinicopathological features and biochemical recurrence of prostate cancer after radical prostatectomy. Pathological specimens were collected from 243 patients who underwent radical prostatectomy and from 60 benign prostatic hyperplasia (BPH) patients to construct tissue microarrays and immunohistochemical analysis of Connexin 43 expression. Kaplan-Meier curves and multivariable Cox proportion hazard model were performed to associate Connexin 43 expression with postoperative biochemical recurrence-free survival (BFS). Connexin 43 expression was significantly reduced or lost in tumor tissues compared to that of BPHs (39.1% vs. 96.7%, P<0.001). Reduced Connexin 43 expression was associated with high levels of preoperative PSA, high Gleason score, advanced pT stage, positive surgical margin, extracapsular extension, and seminal vesicle invasion (P < 0.05, for all). Kaplan-Meier curves showed that reduced Connexin 43 expression was associated with shortened postoperative BFS (P < 0.001). Multivariate analysis showed that reduced Connexin 43 expression, high Gleason score and advanced pT stage were independent predictors for BFS of patients (P < 0.05). Connexin 43 expression was significantly reduced or lost in prostate cancer tissues, which was associated with advanced clinicopathological features and poor BFS of patients after radical prostatectomy.

Upregulation of Talin-1 expression associates with advanced pathological features and predicts lymph node metastases and biochemical recurrence of prostate cancer.

Talin-1 functions to regulate cell-cell adhesion, and its altered expression was reported to be associated with human carcinogenesis.A total of 280 tissue specimens from prostate cancer (PCa) patients who underwent radical prostatectomy, 75 cases of benign prostatic hyperplasia (BPH) tissue, and 6 cases of normal prostate tissue specimens were collected for construction of tissue microarray and subsequently subjected to immunohistochemical staining of Talin-1 expression.Talin-1 expression was significantly higher in PCa than both normal and BPH tissues (P <0.001). Talin-1 expression in PCa tissues was associated with preoperative prostate-specific antigen (PSA) level, Gleason score, tumor stage, lymph node metastasis, positive surgical margin, extracapsular extension and seminal vesicle invasion (all P <0.05). Logistic regression analysis showed that Talin-1 and Gleason score were independent risk factors for lymph node metastasis of PCa (P <0.001). Receiver operating characteristic (ROC) curve indicated that Talin-1 expression (AUC = 0.766) had a better accuracy to predict PCa lymph node metastasis than Gleason score (AUC = 0.697), whereas their combination could further enhance the prediction accuracy (AUC = 0.803). Kaplan-Meier curve analysis showed that increased Talin-1 expression was associated with shortened biochemical-free survival of PCa patients after radical prostatectomy (P <0.001).These findings suggested that Talin-1 protein was significantly upregulated in PCa tissues compared with that of BPH tissue and Talin-1 expression was an independent predictor for lymph node metastasis and biochemical recurrence of PCa. Further study will investigate the underlying molecular mechanism and the role of Talin-1 in PCa.