RT Journal Article
SR Electronic
T1 On the Reproducibility of TCGA Ovarian Cancer MicroRNA Profiles
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 000315
DO 10.1101/000315
A1 Ying-Wooi Wan
A1 Claire M. Mach
A1 Genevera I. Allen
A1 Matthew L. Anderson
A1 Zhandong Liu
YR 2013
UL http://biorxiv.org/content/early/2013/11/13/000315.abstract
AB Dysregulated microRNA (miRNA) expression is a well-established feature of human cancer. However, the role of specific miRNAs in determining cancer outcomes remains unclear. Using Level 3 expression data from the Cancer Genome Atlas (TCGA), we identified 61 miRNAs that are associated with overall survival in 469 ovarian cancers profiled by microarray (p<0.01). We also identified 12 miRNAs that are associated with survival when miRNAs were profiled in the same specimens using Next Generation Sequencing (miRNA-Seq) (p<0.01). Surprisingly, only 1 miRNA transcript is associated with ovarian cancer survival in both datasets. Our analyses indicate that this discrepancy is due to the fact that miRNA levels reported by the two platforms correlate poorly, even after correcting for potential issues inherent to signal detection algorithms. Further investigation is warranted.