In:
Journal of Cellular and Molecular Medicine, Wiley, Vol. 23, No. 2 ( 2019-02), p. 1396-1405
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 .
Type of Medium:
Online Resource
ISSN:
1582-1838
,
1582-4934
DOI:
10.1111/jcmm.2019.23.issue-2
Language:
English
Publisher:
Wiley
Publication Date:
2019
detail.hit.zdb_id:
2076114-4
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