Prognostic value of long non-coding RNA signatures in bladder cancer.
Aging (Albany NY)
; 11(16): 6237-6251, 2019 08 20.
Article
em En
| MEDLINE
| ID: mdl-31433789
ABSTRACT
Bladder cancer (BLCA) is a devastating cancer whose early diagnosis can ensure better prognosis. Aim of this study was to evaluate the potential utility of lncRNAs in constructing lncRNA-based classifiers of BLCA prognosis and recurrence. Based on the data concerning BLCA retrieved from TCGA, lncRNA-based classifiers for OS and RFS were built using the least absolute shrinkage and selection operation (LASSO) Cox regression model in the training cohorts. More specifically, a 14-lncRNA-based classifier for OS and a 12-lncRNA-based classifier for RFS were constructed using the LASSO Cox regression. According to the prediction value, patients were divided into high/low-risk groups based on the cut-off of the median risk-score. The log-rank test showed significant differences in OS and RFS between low- and high-risk groups in the training, validation and whole cohorts. In the time-dependent ROC curve analysis, the AUCs for OS in the first, third, and fifth year were 0.734, 0.78, and 0.78 respectively, whereas the prediction capability of the 14-lncRNA classifier was superior to a previously published lncRNA classifier. As for the RFS, the AUCs in the first, third, and fifth year were 0.755, 0.715, and 0.740 respectively. In summary, the two-lncRNA-based classifiers could serve as novel and independent prognostic factors for OS and RFS individually.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Neoplasias da Bexiga Urinária
/
RNA Longo não Codificante
Tipo de estudo:
Prognostic_studies
/
Screening_studies
Limite:
Female
/
Humans
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Male
/
Middle aged
Idioma:
En
Revista:
Aging (Albany NY)
Assunto da revista:
GERIATRIA
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
China