identification of c16orf74 as a marker of progression in primary non-muscle invasive bladder cancer识别c16orf74进展的标志在初级non-muscle浸润性膀胱癌.pdfVIP

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identification of c16orf74 as a marker of progression in primary non-muscle invasive bladder cancer识别c16orf74进展的标志在初级non-muscle浸润性膀胱癌.pdf

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identification of c16orf74 as a marker of progression in primary non-muscle invasive bladder cancer识别c16orf74进展的标志在初级non-muscle浸润性膀胱癌

Identification of C16orf74 as a Marker of Progression in Primary Non-Muscle Invasive Bladder Cancer 1 1 1 2 3 4 Won Tae Kim , Seok Joong Yun , Cheol Park , Isaac Yi Kim , Sung-Kwon Moon , Tae Gyun Kwon , Yung 5 1 Hyun Choi , Wun-Jae Kim * 1 Department of Urology, College of Medicine, Chungbuk National University, Cheongju, Republic of Korea, 2 Section of Urologic Oncology, The Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, New Jersey, United States of America, 3 Department of Food and Biotechnology, Chungju National University, Chungju, Republic of Korea, 4 Department of Urology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea, 5 Department of Biomaterial Control, Dong-Eui University, Busan, Republic of Korea Abstract Purpose: Methylation-induced silencing of PRSS3 has been shown to be significantly associated with invasive bladder cancer, and expression of the C16orf74 gene locus has been shown to correlate positively with PRSS3. The aim of the current study was to evaluate the relationship between C16orf74 expression level and progression in non-muscle invasive bladder cancer (NMIBC). Materials and Methods: C16orf74 mRNA levels were examined by real-time reverse transcriptase polymerase chain reaction (RT-PCR) analysis of 193 tumor specimens from patients with primary NMIBC. Expression data were analyzed in terms of clinical and experimental parameters. Kaplan-Meier curves and multivariate Cox regression models, respectively, were used to determine progression-free survival and to identify independent predictive parameters of progression. Results: Analysis using Kaplan-Meier curves revealed p