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To date, the combined effect of polygenic risk score (PRS) and prostate health index (phi) on PCa diagnosis in men undergoing prostate biopsy has never been investigated. A total of 3166 patients who underwent initial prostate biopsy in three tertiary medical centers from August 2013 to March 2019 were included. PRS was calculated on the basis of the genotype of 102 reported East-Asian-specific risk variants. It was then evaluated in the univariable or multivariable logistic regression models that were internally validated using repeated 10-fold cross-validation. Discriminative performance was assessed by area under the receiver operating curve (AUC) and net reclassification improvement (NRI) index. Compared with men in the first quintile of age and family history adjusted PRS, those in the second, third, fourth, and fifth quintiles were 1.86 (odds ratio, 95% confidence interval (CI): 1.34–2.56), 2.07 (95%CI: 1.50–2.84), 3.26 (95%CI: 2.36–4.48), and 5.06 (95%CI: 3.68–6.97) times as likely to develop PCa (all p < 0.001). Adjustment for other clinical parameters yielded similar results. Among patients with prostate-specific antigen (PSA) at 2–10 ng/mL or 2–20 ng/mL, PRS still had an observable ability to differentiate PCa in the group of prostate health index (phi) at 27–36 (Ptrend < 0.05) or >36 (Ptrend ≤ 0.001). Notably, men with moderate phi (27–36) but highest PRS (top 20% percentile) would have a comparable risk of PCa (positive rate: 26.7% or 31.3%) than men with high phi (>36) but lowest PRS (bottom 20% percentile positive rate: 27.4% or 34.2%). The combined model of PRS, phi, and other clinical risk factors provided significantly better performance (AUC: 0.904, 95%CI: 0.887–0.921) than models without PRS. Adding PRS to clinical risk models could provide significant net benefit (NRI, from 8.6% to 27.6%), especially in those early onset patients (NRI, from 29.2% to 44.9%). PRS may provide additional predictive value over phi for PCa. The combination of PRS and phi that effectively captured both clinical and genetic PCa risk is clinically practical, even in patients with gray-zone PSA.

Background: Telomerase reverse transcriptase (TERT) has been consistently associated with prostate cancer (PCa) risk. However, few studies have explored the association between TERT variants and PCa aggressiveness. Methods: Individual and genetic data were obtained from UK Biobank and a Chinese PCa cohort (Chinese Consortium for Prostate Cancer Genetics). Results: A total of 209,694 Europeans (14,550 PCa cases/195,144 controls) and 8873 Chinese (4438 cases/4435 controls) were involved. Nineteen susceptibility loci with five novel ones (rs144704378, rs35311994, rs34194491, rs144020096, and rs7710703) were detected in Europeans, whereas seven loci with two novel ones (rs7710703 and rs11291391) were discovered in the Chinese cohort. The index SNP for the two ancestries was rs2242652 (odds ratio [OR] = 1.16, 95% confidence interval [CI]:1.12–1.20, p = 4.12 × 10−16) and rs11291391 (OR = 1.73, 95%CI:1.34–2.25, p = 3.04 × 10−5), respectively. SNPs rs2736100 (OR = 1.49, 95%CI:1.31–1.71, p = 2.91 × 10−9) and rs2853677 (OR = 1.74, 95%CI:1.52–1.98, p = 3.52 × 10−16) were found significantly associated with aggressive PCa, while rs35812074 was marginally related to PCa death (hazard ratio [HR] = 1.61, 95%CI:1.04–2.49, p = 0.034). Gene-based analysis showed a significant association of TERT with PCa (European: p = 3.66 × 10−15, Chinese: p = 0.043) and PCa severity (p = 0.006) but not with PCa death (p = 0.171). Conclusion: TERT polymorphisms were associated with prostate tumorigenesis and severity, and the genetic architectures of PCa susceptibility loci were heterogeneous among distinct ancestries.

Background Genetic risk score (GRS) is an odds ratio (OR)‐weighted and population‐standardized method for measuring cumulative effect of multiple risk‐associated single nucleotide polymorphisms (SNPs). We hypothesize that GRS is a valid tool for risk assessment of most common cancers. Methods Utilizing genotype and phenotype data from The Cancer Genome Atlas (TCGA) and Electronic Medical Records and Genomics (eMERGE), we tested 11 cancer‐specific GRSs (bladder, breast, colorectal, glioma, lung, melanoma, ovarian, pancreatic, prostate, renal, and thyroid cancer) for association with the respective cancer type. Cancer‐specific GRSs were calculated, for the first time in these cohorts, based on previously published risk‐associated SNPs using the Caucasian subjects in these two cohorts. Results Mean cancer‐specific GRS in the population controls of eMERGE approximated the expected value of 1.00 (between 0.98 and 1.02) for all 11 types of cancer. Mean cancer‐specific GRS was consistently higher in respective cancer patients than controls for all 11 types of cancer (P 1.5, respectively), significant dose‐response associations of higher cancer‐specific GRS with higher OR of respective type of cancer were found for nine types of cancer (P‐trend

Background Prostate health index (phi), a derivative of [−2]proPSA (p2PSA), has shown better accuracy than prostate‐specific antigen (PSA) in prostate cancer (PCa) detection. The present study was to investigate whether previously identified PSA‐associated single nucleotide polymorphisms (SNPs) influence p2PSA or phi levels and lead to potential clinical utility. Methods We conducted an observational prospective study with 2268 consecutive patients who underwent prostate biopsy in three tertiary medical centers from August 2013 to March 2019. Genotyping data of the 46 candidate genes with a ± 100 kb window were tested for association with p2PSA and phi levels using linear regression. Multivariable logistic regression models were performed and internally validated using repeated tenfold cross‐validation. We further calculated personalized phi cutoff values based on the significant genotypes. Discriminative performance was assessed using decision curve analysis and net reclassification improvement (NRI) index. Results We detected 11 significant variants at 19q13.33 which were p2PSA‐associated independent of PCa. The most significant SNP, rs198978 in KLK2 (P combined = 5.73 × 10−9), was also associated with phi values (P combined = 3.20 × 10−6). Compared to the two commonly used phi cutoffs of 27.0 and 36.0, the personalized phi cutoffs had a significant NRI for PCa ranged from 5.23% to 9.70% among men carrying variant types (all p

BackgroundClinical studies have suggested that prostate health index (phi) outperforms prostate-specific antigen (PSA) tests in prostate cancer detection. The cost-effectiveness of phi with different cutoffs is poorly understood in the context of decision making for prostate biopsy.MethodsIn a multicenter cohort, 3,348 men with elevated total PSA (tPSA) underwent initial prostate biopsy from August 2013 to May 2019. We constructed a decision model to evaluate the incremental cost-effectiveness ratios of different phi cutoffs. Total costs and reimbursement payments were based on the fee schedule of Shanghai Basic Medical Insurance and converted into United States dollars ($). Two willingness-to-pay thresholds were estimated as one or three times the average gross domestic product per capita of China ($7,760 or $23,279, respectively).ResultsThe total costs of prostate biopsy and PSA tests were estimated at $315 and $19, respectively. The cost of phi test varied between $72 to $130 in different medical centers. Under different phi cutoffs (from 23 to 35), phi test predicted reductions of 420 (21.7%) to 972 (50.2%) in unnecessary biopsies, with a total gain of 23.77–57.58 quality adjusted life-years compared to PSA tests. All the cutoffs would be cost-effective for patients with tPSA levels of 2–10 ng/ml. Applying 27 as the cutoff was cost-effective for each tPSA range, with missing positive cases ranging from 11 (3.4%) to 33 (11.5%).ConclusionsUsing phi test was cost-effective in the decision-making process for initial prostate biopsy, especially for patients with tPSA values between 2–10 ng/ml. The phi cutoff of 27 was cost-effective regardless of tPSA ranges and should be recommended from a health-economic perspective.

BackgroundProstate cancer is one of the most common cancers in men. Usually, most prostate cancers are localized in initial diagnoses and grow slowly. Patients with localized prostate cancers have a nearly 100% 5-year survival rate; however, the 5-year survival rate of metastatic or progressive prostate cancer is still dismal. N6-methyladenosine (m6A) is the most common post-transcriptional mRNA modification and is dynamically regulated by m6A regulators. A few studies have shown that the abnormal expression of m6A regulators is significantly associated with cancer progression and immune cell infiltration, but the roles of these regulators in prostate cancer remain unclear. MethodsHere, we comprehensively examined the patterns of 21 m6A regulators across 494 prostate cancers and systematically correlated m6A regulators with prostate cancer progression and immune cell infiltration. Consensus clustering was utilized for the subtype identification of m6A regulators for prostate cancers. Each subtype signature genes were obtained by the pairwise differentially expressed genes. Featured pathways of m6A subtypes were predicted consequently. The m6A score was constructed to predict the m6A activation. The association of m6A score with patients’ survival, metastasis and immune cell infiltration were also investigated. ResultsWe identified three distinct clusters in prostate cancer based on the expression profiles of 21 m6A regulators by consensus clustering. The differential expression and pathway analyses on the three clusters uncovered the m6A regulators involved in metabolic processes and immune responses in prostate cancer. Moreover, we established an m6A score to perceive the m6A regulator activation for prostate cancer. The m6A score is significantly associated with Gleason scores and metastasis in prostate cancer. The predictive capacity of m6A score on prostate cancer metastasis was also validated in another independent cohort. ConclusionOur study revealed the critical role of m6A regulators in prostate cancer progression and m6A score is promising predictive biomarker for prostate cancer metastasis.

Supplemental Digital Content is available in the text, Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) associated with bladder cancer (BCa) risk in Caucasian and East Asian population. The objective of this study was to validate these SNPs in Chinese population and evaluate whether these SNPs could differentiate the individual inherited risk for BCa. A case-control study including 581 BCa cases and 1561 healthy controls was performed. Germline DNA samples from all individuals were genotyped for eight SNPs. Genetic risk score (GRS) was calculated for each individual based on the odds ratios and risk allele frequencies of five risk-associated SNPs. Among eight SNPs evaluated in this study, rs798766 at 4p16.3 [OR = 1.39 (1.15–1.67), P 1.2) groups, the likelihoods of BCa were 25.2%, 33.7% and 55.0%, respectively (P-trend

To analyze the performance of the Prostate Health Index (phi) and its derivatives for predicting Gleason score (GS) upgrading between prostate biopsy and radical prostatectomy (RP) in the Chinese population, an observational, prospective RP cohort consisting of 351 patients from two medical centers was established from January 2017 to September 2020. Pathological reclassification was determined by the Gleason Grade Group (GG). The area under the receiver operating characteristic curve (AUC) and logistic regression (LR) models were used to evaluate the predictive performance of predictors. In clinically low-risk patients with biopsy GG ≤ 2, phi (odds ratio [OR] = 1.80, 95% confidence interval [95% CI]: 1.14-2.82, P = 0.01) and its derivative phi density (PHID; OR = 2.34, 95% CI: 1.30-4.20, P = 0.005) were significantly associated with upgrading to GG ≥ 3 after RP, and the results were confirmed by multivariable analysis. Similar results were observed in patients with biopsy GG of 1 for the prediction of upgrading to RP GG ≥ 2. Compared to the base model (AUC = 0.59), addition of the phi or PHID could provide additional predictive value for GS upgrading in low-risk patients (AUC = 0.69 and 0.71, respectively, both P < 0.05). In conclusion, phi and PHID could predict GS upgrading after RP in clinically low-risk patients.

BACKGROUND Few genes have germline mutations which predispose men to more aggressive prostate cancer (PCa). This study evaluated the contribution of germline loss of function (LOF) variants in PPFIBP2 to risk of lethal PCa. METHODS A case-case study of 1414 PCa patients with lethal PCa and low-risk localized PCa was performed. Germline DNA samples from these patients were sequenced for PPFIBP2. Mutation carrier rates and association with lethal PCa were analyzed using the Fisher exact test, logistic regression, and Kaplan-Meier survival analysis. RESULTS In the entire study population, eight patients, all of European ancestry, were identified as carrying PPFIBP2 pathogenic or likely pathogenic mutations. Seven (1.52%) of 462 lethal PCa patients were carriers compared with only one (0.12%) carrier in 810 low-risk PCa patients, P = 0.0029. The estimated Odds Ratio (OR) of carrying PPFIBP2 mutation for lethal PCa was 13.8 in European American population. The PPFIBP2 loss-of-function mutation carrier rate in lethal PCa cases was also higher than in 33 370 non-Finnish European individuals from the Exome Aggregation Consortium (ExAC) (carrier rate of 0.17%, P = 1.92 × 10-5 ) and in 498 men with localized PCa from The Cancer Genome Atlas cohort (TCGA) cohort (carrier rate of 0%, P = 0.0058). Survival analysis in European American lethal cases revealed PPFIBP2 mutation status as an independent predictor of shorter survival after adjusting for age at diagnosis, PSA at diagnosis, and genetic background (hazard ratio = 2.62, P = 0.034). CONCLUSIONS While larger studies are needed, germline mutations in a novel gene, PPFIBP2, differentiated risk for lethal PCa from low-risk cases and were associated with shorter survival times after diagnosis.

The performance of prostate health index (phi) in predicting prostate biopsy outcomes has been well established for patients with prostate-specific antigen (PSA) values between 2 and 10 ng/mL. However, the performance of phi remains unknown in patients with PSA10 ng/mL, the vast majority in Chinese biopsy patients. We aimed to assess the ability of phi to predict prostate cancer (PCa) and high-grade disease (Gleason Score ≥7) on biopsy in a Chinese population.This is a prospective, observational, multi-center study of consecutive patients who underwent a transrectal ultrasound guided prostate biopsy at four hospitals in Shanghai, China from August 2013 to December 2014.In the cohort of 1538 patients, the detection rate of PCa was 40.2%. phi had a significantly better predictive performance for PCa than total PSA (tPSA). The areas under the receiver operating characteristic curve (AUC) were 0.90 and 0.79 for phi and tPSA, respectively, P 0.0001. A considerable proportion of patients in the cohort had PSAs10 ng/mL (N = 838, 54.5%). The detection rates of PCa were 35.9% and 57.7% in patients with tPSA 10.1-20 and 20.1-50 ng/mL, respectively. The AUCs of phi (0.79 and 0.89, for these two groups, respectively) were also significantly higher than tPSA (0.57 and 0.63, respectively), both P 0.0001. If a phi ≤35 was used as the cutoff, 599/1538 (39%) biopsies could have been avoided at a cost of missing small numbers of PCa patients: 49 (7.93%) PCa patients, including 18 (3.69%) high-grade tumors.Results from this study suggest that phi can be used to predict PCa and high-grade disease in Chinese men with high PSA levels (10 ng/mL).

// Zuquan Xiong 1, * , Yiwen Zang 2, * , Shan Zhong 1 , Lujia Zou 1 , Yishuo Wu 1 , Shenghua Liu 1 , Zujun Fang 1 , Zhoujun Shen 1 , Qiang Ding 1 , Shanwen Chen 1 1 Department of Urology, Huashan Hospital Affiliated to Fudan University, Shanghai, China 2 Department of General Surgery, Huashan Hospital Affiliated to Fudan University, Shanghai, China * These authors have contributed equally to this work Correspondence to: Shanwen Chen, email: chenshanwenfd@163.com Keywords: renal cell carcinoma (RCC), mammalian target of rapamycin (mTOR), apoptosis, XL388, MEK-ERK Received: November 11, 2016 Accepted: January 16, 2017 Published: February 22, 2017 ABSTRACT XL388 is a mammalian target of rapamycin (mTOR) kinase inhibitor. We demonstrated that XL388 inhibited survival and proliferation of renal cell carcinoma (RCC) cell lines (786-0 and A549) and primary human RCC cells. XL388 activated caspase-dependent apoptosis in the RCC cells. XL388 blocked mTOR complex 1 (mTORC1) and mTORC2 activation, and depleted hypoxia-inducible factor 1α (HIF1α) and HIF-2α expression in RCC cells. Yet, XL388 was ineffective in RCC cells with mTOR shRNA knockdown or kinase-dead mutation. Notably, XL388 was more efficient than mTORC1 inhibitors (rapamycin, everolimus and temsirolimus) in killing RCC cells. Further studies showed that activation of MEK-ERK might be a key resistance factor of XL388. Pharmacological or shRNA-mediated inhibition of MEK-ERK pathway sensitized XL388-induced cytotoxicity in RCC cells. In vivo , oral administration of XL388 inhibited in nude mice 786-0 RCC tumor growth, and its anti-tumor activity was sensitized with co-administration of the MEK-ERK inhibitor MEK162. Together, these results suggest that concurrent inhibition of mTORC1/2 by XL388 may represent a fine strategy to inhibit RCC cells.

Background Rare germline mutations in several genes, primarily DNA repair genes, have been proposed to predict worse prognosis of prostate cancer (PCa). Objective To compare the frequency of germline pathogenic mutations in commonly assayed PCa genes between high- and low-grade PCa in patients initially presenting with clinically localized disease. Design, setting, and participants A retrospective case-case study of 1694 PCa patients who underwent radical prostatectomy at Johns Hopkins Hospital, including 706 patients with high-grade (grade group [GG] 4 and GG5) and 988 patients with low-grade (GG1) disease. Germline DNA was sequenced for 13 candidate PCa genes using a targeted next-generation sequencing assay by Ambry Genetics. Outcome measurements and statistical analysis Carrier rates of pathogenic mutations were compared between high- and low-grade PCa patients using the Fisher’s exact test. Results and limitations Overall, the carrier rate of germline pathogenic mutations in the 13 genes was significantly higher in high-grade patients (8.64%) than in low-grade patients (3.54%, p = 9.98 × 10–6). Individually, significantly higher carrier rates for patients with high- versus low-grade PCa were found for three genes: ATM (2.12% and 0.20%, respectively, p = 9.35 × 10–5), BRCA2 (2.55% and 0.20%, respectively, p = 8.99 × 10–6), and MSH2 (0.57% and 0%, respectively, p = 0.03). The mutation carrier rate was significantly higher in patients with GG5 than in patients with GG1 disease for the 13 genes overall (13.07% and 3.54%, respectively, p = 1.27 × 10–9); for the three genes ATM, BRCA2, and MSH2 (7.73% and 0.40%, respectively, p = 3.20 × 10–13); and for the remaining nine DNA repair genes (5.07% and 2.43%, respectively, p = 0.02). Conclusions In men undergoing treatment for clinically localized disease, pathogenic mutations in 13 commonly assayed genes, especially ATM, BRCA2, and MSH2, are most strongly associated with GG5 PCa. These findings emphasize the importance of genetic testing in men with high-grade PCa, particularly GG5 disease, to inform both treatment decisions and familial risk assessment. Patient summary Prostate cancer in men with inherited mutations in 13 commonly assayed susceptibility genes is more likely to be high-grade, high-risk disease.

BACKGROUND Family history (FH) of prostate cancer (PCa) in Chinese population is poorly understood. The objective of this study is to evaluate the association between FH and PCa in a Chinese biopsy cohort. METHODS Consecutive patients who received 10 to 12 core systematic prostate biopsies from April 2013 to October 2018 in three medical centers were enrolled in this study. Demographic information and clinical information were obtained through prebiopsy questionnaire, including cancer FH, age, and total prostate-specific antigen (tPSA). RESULTS Of 2321 patients, 83 (3.6%) were reported a FH of PCa. The positive biopsy rate in these patients was 54.2%, significantly higher than the patients without the family history of PCa (42.6%; relative risk [RR] = 1.27; P = .024). In patients with positive FH of breast cancer gene (BRCA)-related cancers (breast, ovarian, and prostate cancer, n = 154), 74 (48.1%) were diagnosed as PCa, higher than those without FH (42.7%; RR = 1.13; P = .112). Multivariate logistic regression analysis (after adjusting for age and tPSA values) showed that there was 2.1-fold increased risk of PCa in patients with positive FH of PCa (P = .005), and 1.6-fold increased risk in patients with positive FH of BRCA-related cancers (P = .019). However, there was no significant association between FH of PCa or BRCA-related cancer and high-grade PCa after adjusting age and tPSA level (P = .404 for PCa, P = 0.991 for BRCA-related cancers). CONCLUSIONS Patients with positive FH of PCa had 2.1-fold higher risk of PCa, and patients with positive FH of BRCA-related cancers had 1.6-fold higher risk in this biopsy cohort of Chinese population. Patients with positive FH of PCa or BRCA-related cancers would have earlier age at onset of PCa.

Objectives: Copy number alteration (CNA) is one of the important genetic variations. Although there are many studies on renal cancer CNA, few studies are based on the Chinese population. In our study, our objective is to acquire the whole-genome CNA landscape in Chinese population and explore the tumor risk-associated functional genes in the CNA regions, by detecting whole-genome in the clear cell renal cancer (ccRCC) tissues. Methods: We enrolled 35 formalin fixed paraffin embedded samples, which were processed by Oncoscan assay, and then acquired the data of whole-genome CNA. Then genes annotation and enrichment analyzing were processed. Furthermore, the gene burden and the affected bp (base pair) per Mbp (million bp) regions in whole-genome were analyzed by comparison of different T stage affected by CNA. Results: We acquired the whole-genome CNA landscape by Oncoscan detection, and found out the high-frequency CNA regions which were not reported in previous studies, for example, 11P11, 22q11.23, 20q11.3 (PDRG1), and Xp22.33 so on. During the analyzing of genes annotation and enrichment, we found out some ccRCC functional genes in the CNA regions which might play a role in the biological process, for example, the copy number loss of DNA repair genes (TTC5、PARP2, etc.) and tumor suppressor genes (TADA3, VHL, BAP1, ERC2-IT1, etc.), the copy number gain of oncogenes (ABL2, MET, HUWE1, etc.) and Notch signal pathway genes (MDK, etc.). Besides, gene fusion (GSTTP and GSTTP2) was noticed at 22q11.23 which copy number loss occurred, and the frequency is 46%. And between the different T stage patients affected by CNA, the T2+T3 group carried more high-frequency CNA regions (P-value was 0.012). Conclusions: In this study, the whole-genome ccRCC CNA landscape in Chinese population was acquired, a few functional genes and fusion genes were found out. However, a larger scale of samples is still needed to validate our results.

BACKGROUND While higher genetic risk score (GRS) has been statistically associated with increased disease risk (broad-sense validity), the concept and tools for assessing the validity of reported GRS values from tests (narrow-sense validity) are underdeveloped. METHODS We propose two benchmarks for assessing the narrow-sense validity of GRS. The baseline benchmark requires that the mean GRS value in a general population approximates 1.0. The calibration benchmark assesses the agreement between observed risks and estimated risks (GRS values). We assessed benchmark performance for three prostate cancer (PCa) GRS tests, derived from three SNP panels with increasing stringency of selection criteria, in a PCa chemoprevention trial where 714 of 3225 men were diagnosed with PCa during the 4-year follow-up. RESULTS GRS from Panels 1, 2, and 3 were all statistically associated with PCa risk; P = 5.58 × 10-3 , P = 1 × 10-3 , and P = 1.5 × 10-13 , respectively (broad-sense validity). For narrow-sense validity, the mean GRS value among men without PCa was 1.33, 1.09, and 0.98 for Panels 1, 2, and 3, respectively (baseline benchmark). For assessing the calibration benchmark, observed risks were calculated for seven groups of men with GRS values

Single nucleotide polymorphism (SNP)-based genetic risk score (GRS) and APOE genotype are both important in risk prediction of Alzheimer's disease (AD); however, the interaction between GRS and APOE has not been extensively investigated. Our objective was to determine whether GRS modifies the APOE effect on AD risk and age at onset (AAO). The study included 774 AD cases and 767 controls of European descent. Population standardized GRS was calculated based on 17 previously implicated AD risk-associated SNPs. Association was analyzed using logistic regression, Cox proportional hazards model and Kaplan-Meier curve. We found that GRS was significantly associated with AD risk and the association was stronger among APOE e4 carriers. Compared to e4 non-carriers, the Odds Ratio (OR) for AD was 8.09 (95% Confidence Interval [CI]: 4.98-13.63) for e4 carriers with high-GRS (≥1.5). In contrast, the OR was 2.55 (95% CI: 1.46-4.49) for e4 carriers with low-GRS (

The objective of this study was to evaluate whether renal cell carcinoma (RCC) risk-associated single nucleotide polymorphisms (SNPs) could reflect the individual inherited risks of RCC. A total of 346 RCC patients and 1,130 controls were recruited in this case-control study. Genetic scores were calculated for each individual based on the odds ratios and frequencies of risk-associated SNPs. Four SNPs were significantly associated with RCC in Chinese population. Two genetic score models were established, genetic score 1 (rs10054504, rs7023329 and rs718314) and genetic score 2 (rs10054504, rs7023329 and rs1049380). For genetic score 1, the individual likelihood of RCC with low (

// Ning Zhang 1,2,* , Yishuo Wu 1,2,* , Jian Gong 2* , Kaiwen Li 3 , Xiaolin Lin 2,4,5 , Haitao Chen 5 , Yang Yu 1,2 , Yuancheng Gou 1,2 , Jiangang Hou 1,2 , Deke Jiang 4 , Rong Na 1,2,6,7 , Xiang Wang 1,2 , Qiang Ding 1,2 and Jianfeng Xu 2,3,4,7 1 Department of Urology, Huashan Hospital, Fudan University, Shanghai, PR China 2 Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, PR China 3 Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yet-sen University, Guandong, PR China 4 State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, PR China 5 Center for Genetic Epidemiology, School of Life Sciences, Fudan University, Shanghai, PR China 6 Health Communication Institute, School of Public Health, Fudan University, Shanghai, PR China 7 Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, IL, USA * These authors have contributed equally to this work Correspondence to: Rong Na, email: // Xiang Wang, email: // Keywords : renal cell carcinoma, SNPs, genome-wide association, Chinese Received : June 03, 2015 Accepted : December 31, 2015 Published : January 14, 2016 Abstract Genome-wide association studies (GWAS) of renal cell carcinoma (RCC) have identified single nucleotide polymorphisms (SNPs) associated with RCC in European and African American population. In this study, we evaluated whether these SNPs are associated with clear cell RCC (ccRCC) in Chinese population. All reported RCC risk-associated SNPs from GWAS were evaluated in 346 ccRCC cases and 1,130 controls. Rs10054504 (at PDZD2 , Odds ratio, OR = 0.71, 95%CI:0.59-0.86, P = 0.0006), rs718314 (at ITPR2 , OR = 0.56, 95%CI:0.45-0.69, P = 5.26×10 -8 ) and rs1049380 (at ITPR2 , by dominant model, OR = 1.58, 95%CI:1.18-2.13, P = 0.0025) were significantly associated with ccRCC risk in Chinese population. To conclude, genetic variations in PDZD2 and ITPR2 are ccRCC-risk associated in Chinese population.

In the postscreening era, physicians are in need of methods to discriminate aggressive from nonaggressive prostate cancer (PCa) to reduce overdiagnosis and overtreatment. However, studies have shown that prognoses (e.g., progression and mortality) differ even among individuals with similar clinical and pathological characteristics. Existing risk classifiers (TMN grading system, Gleason score, etc.) are not accurately enough to represent the biological features of PCa. Using new genomic technologies, novel biomarkers and classifiers have been developed and shown to add value to clinical or pathological risk factors for predicting aggressive disease. Among them, RNA testing (gene expression analysis) is useful because it can not only reflect genetic variations but also reflect epigenetic regulations. Commercially available RNA profiling tests (Oncotype Dx, Prolaris, and Decipher) have demonstrated strong abilities to discriminate PCa with poor prognosis from less aggressive diseases. For instance, these RNA profiling tests can predict disease progression in active surveillance patients or early recurrence after radical treatments. These tests may offer more dependable methods for PCa prognosis prediction to make more accurate and personal medical decisions.

To evaluate whether prostate volume (PV) would provide additional predictive utility to the prostate health index (phi) for predicting prostate cancer (PCa) or clinically significant prostate cancer, we designed a prospective, observational multicenter study in two prostate biopsy cohorts. Cohort 1 included 595 patients from three medical centers from 2012 to 2013, and Cohort 2 included 1025 patients from four medical centers from 2013 to 2014. Area under the receiver operating characteristic curves (AUC) and logistic regression models were used to evaluate the predictive performance of PV-based derivatives and models. Linear regression analysis showed that both total prostate-specific antigen (tPSA) and free PSA (fPSA) were significantly correlated with PV (all P < 0.05). [-2]proPSA (p2PSA) was significantly correlated with PV in Cohort 2 (P < 0.001) but not in Cohort 1 (P = 0.309), while no significant association was observed between phi and PV. When combining phi with PV, phi density (PHID) and another phi derivative (PHIV, calculated as phi/PV0.5) did not outperform phi for predicting PCa or clinically significant PCa in either Cohort 1 or Cohort 2. Logistic regression analysis also showed that phi and PV were independent predictors for both PCa and clinically significant PCa (all P < 0.05); however, PV did not provide additional predictive value to phi when combining these derivatives in a regression model (all models vs phi were not statistically significant, all P > 0.05). In conclusion, PV-based derivatives (both PHIV and PHID) and models incorporating PV did not improve the predictive abilities of phi for either PCa or clinically significant PCa.

Here we conducted an evidence-based study in developing and validating a urinary biomarker combination of gene methylation assays in patients with hematuria. A number of 99 urine samples were obtained and detected from Chinese patients with hematuria. The Cancer Genome Atlas cohort with methylation (HM450) beta-values and clinical data of 412 bladder cancer and 21 matching normal tissue was included as a validation series. A risk score formula was then developed and calculated by the targeted genes, weighted by their estimated regression coefficients from the multivariable binary logistic regression analyses, and evaluated by receiver operating characteristic (ROC) curves analysis. The combination assay of HOXA9, ONECUT2, PCDH17, PENK, TWIST1, VIM and ZNF154 was singled out according to the results of multivariate logistic regression analysis. The higher probability of DNA methylation of all the selected 7 genes was found in bladder cancer group than the control group. Remarkable higher DNA methylation beta-values of all the selected 7 genes were also displayed in bladder cancer tissues compared with their matching normal bladder tissues. And the AUC value of our risk score model were 0.894 and 0.851 in respective cohort, revealing highlighted predictive value of our risk score model on bladder cancer diagnosis. In conclusions, a urinary combined methylation assay of HOXA9, ONECUT2, PCDH17, PENK, TWIST1, VIM and ZNF154 displayed accurate prediction of bladder cancer in hematuria patients, which provided the guidance for the patients at early stage tumor and during the follow-up after operation. Of course, prospective study based on a hematuria cohort with a large sample size should be conducted to validate these findings in the future.

Background DNA methylation biomarkers for bladder cancer (BCa) have not been evaluated extensively in the Chinese population. Objective To develop and validate a urinary biomarker combination of methylation assays in a group of Chinese patients with hematuria. Design, setting, and participants A total of 192 urine samples were collected and evaluated from patients with microscopic or gross hematuria, including 97 BCa patients and 95 controls with benign diseases. A two-stage study was conducted: the first stage being assay construction and the second stage being assay validation. Eighty-one urine samples were analyzed for the hypermethylation of eight selected genes in stage 1 and then a four-gene panel was constructed. An additional 111 urine samples were analyzed using the four-gene panel (including HOXA9, PCDH17, POU4F2, and ONECUT2) for independent validation. Outcome measurements and statistical analysis The positive predictive value (PPV) and negative predictive value (NPV) were calculated for the combination methylation assay. Uni- and multivariate binary logistic regression analyses (backward elimination, conditional) were performed to calculate the association between BCa and each predictor variable. Results and limitations The combination assay of HOXA9, PCDH17, POU4F2, and ONECUT2 was selected based on the results of multivariate logistic regression analysis in stage 1. Using a strategy of three-level risk stratification, the assay yielded a consistent PPV of 100%. With an estimated BCa prevalence of 10% in a general hematuria population, the assay would result in an overall NPV of 98%. This combined methylation biomarker would yield an overall area under the receiver operating characteristic curve of 0.871 (with a sensitivity of 90.5% and a specificity of 73.2%) if using the prediction model from multivariate regression analysis. In addition, over half of BCa cases would be predicted accurately and ∼60% of unnecessary cystoscopies could be spared. This study had several limitations. First, the sample size was relatively small. Second, it was performed in a case-control population rather than in a natural hematuria cohort. Conclusions A combination methylation assay of HOXA9, PCDH17, POU4F2, and ONECUT2 resulted in high PPV and NPV in Chinese patients with hematuria. With accurate risk prediction, the urinary biomarker combination could spare a sizeable proportion of low-risk patients from extensive and invasive examination. Patient summary In the present study, we looked at the predictive performance of a urinary biomarker combination of HOXA9, PCDH17, POU4F2, and ONECUT2. We found that this urinary biomarker combination may help discriminate bladder cancer from other benign diseases in patients with hematuria, resulting in a reduction of unnecessary invasive examination in patients at low risk.

OBJECTIVES To perform a systematic evaluation of whether germline DNA repair gene mutations in bladder cancer (BCa) are associated with increased risk of BCa and aggressive disease. MATERIALS AND METHODS Germline DNA from 98 patients with BCa was analysed for 54 DNA repair genes using a customized targeted sequencing panel. Population control data were obtained from the public databases the Exome Aggregation Consortium database and the Genome Aggregation Database. Mutation pathogenicity was annotated based on American College of Medical Genetics criteria, mutation frequencies in the general population and the ClinVar database. Mutation frequencies were compared based on case-control and case-case designs for disease risks, disease aggressiveness and outcomes. RESULTS The frequency of pathogenic/likely pathogenic germline DNA repair gene mutations was 10.2% among patients with BCa. Within the subset of patients with carcinoma invading the bladder muscle, the frequency was 15.8%, ~2.4-fold higher than in patients with non-muscle invasive BCa (6.67%). The mutation frequency among patients with early-onset disease (at age

Epithelial-mesenchymal transition (EMT) was reported to have an important effect on malignant metastasis; however, it remained largely unknown if EMT marker expression of neoplastic tissue had predictive value for prognosis of prostate cancer.We searched for published studies which measured EMT marker expression and analyzed its association with clinical outcomes of patients after Radical Prostatectomy (RP). We reviewed and pooled-analyzed the association of EMT marker expression and biochemical recurrence-free survival (BFS), as well as the difference in strong or weak expression of EMT markers in tumors of high Gleason score (≥8).A total of 25 studies with 14 EMT markers were included for review and meta-analysis. Only mesenchymal markers of N-cadherin, snail, twist, vimentin, and slug seemed to be significantly associated with decreased BFS in strongly expressed patients. Weak expression of epithelial markers (E-cadherin and α-catenin) and strong expression of mesenchymal markers (N-cadherin, snail, twist, and vimentin) seemed to be more frequent in tumors of Gleason ≥8.Strong expression of mesenchymal markers (N-cadherin, snail, twist, and vimentin) seemed to have significant predictive value for decreased BFS in patients after RP.

Background Germline mutations in CHEK2 have been associated with prostate cancer (PCa) risk. Our objective is to examine whether germline pathogenic CHEK2 mutations can differentiate risk of lethal from indolent PCa. Methods A case-case study of 703 lethal PCa patients and 1455 patients with low-risk localized PCa of European, African, and Chinese origin was performed. Germline DNA samples from these patients were sequenced for CHEK2. Mutation carrier rates and their association with lethal PCa were analyzed using the Fisher exact test and Kaplan-Meier survival analysis. Results In the entire study population, 40 (1.85%) patients were identified as carrying one of 15 different germline CHEK2 pathogenic or likely pathogenic mutations. CHEK2 mutations were detected in 16 (2.28%) of 703 lethal PCa patients compared with 24 (1.65%) of 1455 low-risk PCa patients (P = 0.31). No association was found between CHEK2 mutation status and early-diagnosis or PCa-specific survival time. However, the most common mutation in CHEK2, c.1100delC (p.T367 fs), had a significantly higher carrier rate (1.28%) in lethal PCa patients than low-risk PCa patients of European American origin (0.16%), P = 0.0038. The estimated Odds Ratio of this mutation for lethal PCa was 7.86. The carrier rate in lethal PCa was also significantly higher than that (0.46%) in 32 461 non-Finnish European subjects from the Exome Aggregation Consortium (ExAC) (P = 0.01). Conclusions While overall CHEK2 mutations were not significantly more common in men with lethal compared to low-risk PCa, the specific CHEK2 mutation, c.1100delC, appears to contribute to an increased risk of lethal PCa in European American men.

The present study evaluated 23 newly identified susceptibility loci for prostate cancer (PCa) in a Chinese population and assessed whether any validated loci were associated with the genetic risk score (GRS) of PCa in a Chinese population. A total of 1,417 patients with PCa and 1,008 controls were recruited in the present study. The association of each single nucleotide polymorphism (SNP) with PCa risk and PCa aggressiveness was analyzed. The predictive ability of two GRSs based on 30 SNPs (GRS30) and the 9 most significant SNPs (GRS9) in the Chinese population were also compared. Among the 19 SNPs evaluated, 1 SNP (rs7153648 at 14q23) was associated with PCa risk [odds ratio (OR)=1.206, P

Introduction: The associations between Prostate cancer (PCa) and germline copy number variations (CNVs) in genome-wide level based on Chinese population are unknown. The objective of this study was to identify possible PCa-risk associated CNV regions in Chinese population. Materials and Methods: We performed a genome-wide association study for CNV in 1,417 PCa cases and 1,008 controls in Chinese population. Results: 7 risk-associated CNVs were identified for PCa after association analyses (P

To examine the role of quantitative real-time elastography (RTE) features on differentiation between high-risk prostate cancer (PCA) and non-high-risk prostatic diseases in the initial transperineal biopsy setting. We retrospectively included 103 patients with suspicious PCA who underwent both RTE and initial transperineal prostate biopsy. Patients were grouped into high-risk and non-high-risk categories according to the D’Amico’s risk stratification. With computer assistance based on MATLAB programming, three features were extracted from RTE, i.e., the median hardness within peripheral gland (PG) (H med), the ratio of the median hardness within PG to that outside PG (H ratio), and the ratio of the hard area within PG to the total PG area (H ar). A multiple regression model incorporating an RTE feature, age, transrectal ultrasound finding, and prostate volume was used to identify markers for high-risk PCA. Forty-seven patients (45.6%) were diagnosed with PCA and 34 (33.0%) were diagnosed with high-risk PCA. Three RTE features were all statistically higher in high-risk PCA than in non-high-risk diseases (p