On the Reproducibility of TCGA Ovarian Cancer MicroRNA Profiles

被引:21
作者
Wan, Ying-Wooi [1 ,2 ,4 ]
Mach, Claire M. [2 ,3 ]
Allen, Genevera I. [1 ,7 ,8 ]
Anderson, Matthew L. [2 ,4 ,5 ]
Liu, Zhandong [1 ,5 ,6 ,7 ]
机构
[1] Baylor Coll Med, Dept Pediat, Houston, TX 77030 USA
[2] Baylor Coll Med, Dept Obstet & Gynecol, Houston, TX 77030 USA
[3] Univ Houston, Coll Pharm, Houston, TX 77030 USA
[4] Baylor Coll Med, Dept Pathol & Immunol, Houston, TX 77030 USA
[5] Baylor Coll Med, Dan L Duncan Canc Ctr, Houston, TX 77030 USA
[6] Baylor Coll Med, Computat & Integrat Biomed Res CIBR Ctr, Houston, TX 77030 USA
[7] Texas Childrens Hosp, Neurol Res Inst, Houston, TX 77030 USA
[8] Rice Univ, Dept Stat & Elect & Comp Engn, Houston, TX USA
来源
PLOS ONE | 2014年 / 9卷 / 01期
基金
美国国家科学基金会;
关键词
D O I
10.1371/journal.pone.0087782
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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. Corrections for false discovery and microRNA abundance had minimal impact on this discrepancy. Further investigation is warranted.
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页数:5
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