1.Novel Combination Markers for Predicting Survival in Patients with Muscle Invasive Bladder Cancer: USP18 and DGCR2.
Ye Hwan KIM ; Won Tae KIM ; Pildu JEONG ; Yun Sok HA ; Ho Won KANG ; Seok Joong YUN ; Sung Kwon MOON ; Yung Hyun CHOI ; Isaac Yi KIM ; Wun Jae KIM
Journal of Korean Medical Science 2014;29(3):351-356
We performed gene expression profiling in bladder cancer patients to identify cancer-specific survival-related genes in muscle invasive bladder cancer (MIBC) patients. Sixty-two patients with MIBC were selected as the original cohort and another 118 MIBC patients were chosen as a validation cohort. The expression of USP18, DGCR2, and ZNF699 genes were measured and we analyzed the association between gene signatures and survival. USP18 and DGCR2, were significantly correlated to cancer-specific death (P=0.020, P=0.007, respectively). Cancer-specific survival in the low USP18 or DGCR2 expression group was significantly longer than the high expression group (P=0.018, P=0.006, respectively). In multivariate Cox regression analysis, a combination of USP18 and DGCR2 mRNA expression levels were significant risk factors for cancer-specific death (HR, 2.106; CI, 1.043-4.254, P=0.038). Overall survival and cancer-specific survival rates in the low-combination group were significantly longer than those in the high-expression group (P=0.001, both). In conclusion, decreased expressions of USP18 and DGCR2 were significantly associated with longer cancer-specific survival, and also the combination of two genes was correlated to a longer survival for MIBC patients. Thus, the combination of USP18 and DGCR2 expression was shown to be a reliable prognostic marker for cancer-specific survival in MIBC.
Adult
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Aged
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Aged, 80 and over
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Biological Markers/metabolism
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Carrier Proteins/genetics/metabolism
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Endopeptidases/genetics/*metabolism
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Female
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Gene Expression Profiling
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Humans
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Kaplan-Meier Estimate
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Male
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Middle Aged
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Muscle Neoplasms/*secondary
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Neoplasm Invasiveness
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Neoplasm Staging
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Platelet Glycoprotein GPIb-IX Complex/genetics/*metabolism
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Predictive Value of Tests
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ROC Curve
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Regression Analysis
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Risk Factors
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Urinary Bladder Neoplasms/*diagnosis/metabolism/*mortality/pathology