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- W2900540585 abstract "Abstract Exosomes are small membrane vesicles released by many cells. These vesicles can mediate cellular communications by transmitting active molecules including long non‐coding RNA s (lnc RNAs ). In this study, our aim was to identify a panel of lnc RNA s in serum exosomes for the diagnosis and recurrence prediction of bladder cancer ( BC ). The expressions of 11 candidate lnc RNA s in exosome were investigated in training set (n = 200) and an independent validation set (n = 320) via quantitative real‐time PCR . A three‐lnc RNA panel ( PCAT ‐1, UBC 1 and SNHG 16) was finally identified by multivariate logistic regression model to provide high diagnostic accuracy for BC with an area under the receiver‐operating characteristic curve ( AUC ) of 0.857 and 0.826 in training set and validation set, respectively, which was significantly higher than that of urine cytology. The corresponding AUC s of this panel for patients with Ta, T1 and T2‐T4 were 0.760, 0.827 and 0.878, respectively. In addition, Kaplan‐Meier analysis showed that non‐muscle‐invasive BC ( NMIBC ) patients with high UBC 1 expression had significantly lower recurrence‐free survival ( P = 0.01). Multivariate Cox analysis demonstrated that UBC 1 was independently associated with tumour recurrence of NMIBC ( P = 0.018). Our study suggested that lnc RNA s in serum exosomes may serve as considerable diagnostic and prognostic biomarkers of BC ." @default.
- W2900540585 created "2018-11-29" @default.
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- W2900540585 date "2018-11-23" @default.
- W2900540585 modified "2023-10-16" @default.
- W2900540585 title "Evaluation of serum exosomal Lnc<scp>RNA</scp>‐based biomarker panel for diagnosis and recurrence prediction of bladder cancer" @default.
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- W2900540585 doi "https://doi.org/10.1111/jcmm.14042" @default.
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