UNASSIGNED: The ability to identify and stratify @entity1 that will respond to specific therapies has been transformational in a number of disease areas, particularly oncology. It is anticipated that this will also be the case for cell-based therapies, particularly in complex and @entity66 such as @entity309 ( @entity309 ). Recently, clinical results with expanded allogenic adipose-derived mesenchymal stem cells (eASCs) have indicated clinical efficacy in highly refractory @entity309 @entity1 . In this study, we set out to determine if circulating microRNAs (miRNAs) could be identified as potential biomarkers associated with response to eASCs in these @entity309 @entity1 . The miRNA expression profiles of pre-treatment plasma samples from responder and nonresponder @entity1 were determined using microarrays. Ten miRNAs were identified that were differentially expressed in the responder group as compared to the nonresponder group. To confirm the differential expression of these 10 miRNA biomarkers, they were further assayed by quantitative reverse-transcriptase polymerase chain reaction (QRT-PCR). From this analysis, three miRNAs, miR-26b-5p, miR-487b-3p and miR-495-3p, were confirmed as being statistically significantly upregulated in the responder group as compared with the nonresponder group. Receiver operating characteristic analysis confirmed their diagnostic potential. These miRNAs could represent novel candidate stratification biomarkers associated with @entity309 @entity1 response to eASCs and are worthy of further clinical validation.    Stem Cells Translational Medicine 2016.

Identification of Potential Plasma MicroRNA Stratification Biomarkers for Response to Allogeneic Adipose-Derived Mesenchymal Stem Cells in XXXX .

@entity1 :: ('9606', 'Species') :: ['patients', 'patient'] @entity66 :: ('MESH:D004194', 'Disease') :: ['heterogeneous diseases'] @entity309 :: ('MESH:D001172', 'Disease') :: ['rheumatoid arthritis', 'RA']
@entity309 :: (MESH:D001172,Disease) :: ['Rheumatoid Arthritis']
