BACKGROUND AND AIM: Altered miRNA expression, a typical feature of many @entity5 , is reportedly associated with prognosis according to several studies. Although numerous studies on miRNAs in @entity1124 ( @entity1124 ) have also attempted to identify prognostic biomarkers, more large-scale clinical studies are needed to establish the clinical significance of the results. Present study aimed to identify prognosis related molecular subtypes of primary @entity5 using miRNA expression profiling. METHODS: Expression profiles of 1,733 miRNAs were obtained by using microarray analysis of 104 @entity788 of Korean @entity1 . To detect subgroups informative in predicting the @entity1 's prognosis, we applied unsupervised clustering methods and then analyzed the association of the molecular subgroups with survival time. Then, we constructed a classifier to predict the subgroup using penalized regression models. RESULTS: We have determined three @entity1124 @entity5 subtypes associated with prognosis based on miRNA expression profiles. These subtypes showed significantly different survival time for @entity1 with the same clinical conditions. This demonstrates that our prognostic molecular subgroup has independent prognostic utility. The molecular subtypes can be predicted with a classifier of 19 miRNAs. Of the 19 signature miRNAs, miR-106b-star, @entity66586 -3p, and @entity69481 were related to a @entity876 canonical pathway, and @entity66586 , miR-145-5p, miR-26b-5p, and @entity48768 were related to a @entity2247 centered pathway. CONCLUSIONS: Our prognostic molecular subtypes demonstrated that miRNA profiles could be used as prognostic markers. Additionally, we have constructed a classifier that may be used to determine the molecular subgroup of new @entity1 sample data. Further studies are needed for validation. This article is protected by copyright. All rights reserved.

Molecular subtypes of XXXX based on miRNA expression profiles have independent prognostic value.

@entity1 :: ('9606', 'Species') :: ['patients', 'patient'] @entity788 :: ('MESH:D010190', 'Disease') :: ['pancreatic tumors'] @entity1124 :: ('MESH:D021441', 'Disease') :: ['PDAC', 'pancreatic ductal adenocarcinoma'] @entity5 :: ('MESH:D009369', 'Disease') :: ['tumor', 'cancers', 'pancreas tumors'] @entity69481 :: ('693200', 'Gene') :: ['mir-615'] @entity876 :: ('7157', 'Gene') :: ['p53'] @entity2247 :: ('4513', 'Gene') :: ['Cox-2'] @entity66586 :: ('442898', 'Gene') :: ['mir-324', 'miR-324'] @entity48768 :: ('693159', 'Gene') :: ['miR-574-3p']
@entity788 :: (MESH:D010190,Disease) :: ['pancreatic cancer']
