Experiment Detail



Experiment IDEXP00114
ReferenceTitle: miRNA-mRNA integrated analysis reveals roles for miRNAs in primary breast tumors.
Author: Enerly E, Steinfeld I, Kleivi K, Leivonen SK, Aure MR, Russnes HG, RønnebergJA, Johnsen H, Navon R, Rødland E, Mäkelä R, Naume B, Perälä M, Kallioniemi O,Kristensen VN, Yakhini Z, Børresen-Dale AL.
Journal: PLoS One. 2011 Feb 22;6(2):e16915. doi: 10.1371/journal.pone.0016915.
Abstract: INTRODUCTION: Few studies have performed expression profiling of both miRNA andmRNA from the same primary breast carcinomas. In this study we present andanalyze data derived from expression profiling of 799 miRNAs in 101 primary humanbreast tumors, along with genome-wide mRNA profiles and extensive clinicalinformation.METHODS: We investigate the relationship between these molecular components, interms of their correlation with each other and with clinical characteristics. We use a systems biology approach to examine the correlative relationship betweenmiRNA and mRNAs using statistical enrichment methods.RESULTS: We identify statistical significant differential expression of miRNAsbetween molecular intrinsic subtypes, and between samples with different levelsof proliferation. Specifically, we point to miRNAs significantly associated with TP53 and ER status. We also show that several cellular processes, such asproliferation, cell adhesion and immune response, are strongly associated withcertain miRNAs. We validate the role of miRNAs in regulating proliferation using high-throughput lysate-microarrays on cell lines and point to potential driversof this process.CONCLUSION: This study provides a comprehensive dataset as well as methods andsystem-level results that jointly form a basis for further work on understanding the role of miRNA in primary breast cancer.
PMID: 21364938
Expressiion ProfileDescription: Molecular Characterization of Breast Cancer Subtypes from Joint Analysis of High Throughput miRNA and mRNA Data (II)
Organism: Homo sapiens
GEO ID: GSE19783
Platform: GPL8227
Number of samples: 216
Design and SampleCancer Type: breast cancer
Cancer SubType: N/D
Cell Line: N/D
Experimental Design: subtype1 vs substype2
Case Sample: ER positive breast tumour
Control Sample: ER negative breast tumour
Num of Case: 60
Num of Control: 35
Quantification Software: Limma
Num of miRNAs: 723
IdentificationNum of Up: 31
Num of Down: 31