Yishuo Wu1, Guangliang Jiang2, Ning Zhang3, Shenghua Liu4, Xiaoling Lin5, Chelsea Perschon6, S Lilly Zheng6, Qiang Ding4, Xiang Wang3, Rong Na7, Jishan Sun8, Jianfeng Xu9. 1. Department of Urology, Huashan Hospital, Fudan University, Shanghai, PR China; Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, PR China; Program for Personalized Cancer Care, NorthShore University Health System, Evanston, Illinois, USA. 2. Department of Urology, Huashan Hospital, Fudan University, Shanghai, PR China; Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, PR China; Department of Urology, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, PR China. 3. Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China. 4. Department of Urology, Huashan Hospital, Fudan University, Shanghai, PR China; Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, PR China. 5. Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, PR China. 6. Program for Personalized Cancer Care, NorthShore University Health System, Evanston, Illinois, USA. 7. Department of Urology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, PR China. Electronic address: narong.hs@gmail.com. 8. Program for Personalized Cancer Care, NorthShore University Health System, Evanston, Illinois, USA. Electronic address: JSun@northshore.org. 9. Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, PR China; Program for Personalized Cancer Care, NorthShore University Health System, Evanston, Illinois, USA. Electronic address: jxu@northshore.org.
Abstract
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.
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.