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Series GSE38389 Query DataSets for GSE38389
Status Public on Oct 05, 2012
Title The rectal cancer microRNAome - a comprehensive comparative analysis of microRNA expression in rectal cancer and matched normal mucosa
Organism Homo sapiens
Experiment type Non-coding RNA profiling by array
Summary Purpose: MicroRNAs play a prominent role in a variety of physiological and pathological biological processes, including cancer. For rectal cancers, only limited data are available on microRNA expression profiles, while the underlying genomic and transcriptomic aberrations have been firmly established. We therefore aimed to comprehensively map the microRNA expression patterns of this disease.

Experimental design: Tumor biopsies and corresponding matched mucosa samples were prospectively collected from 72 patients (68 tumors and 70 normal mucosa) with locally advanced rectal cancers. Total RNA was extracted, and tumor and mucosa microRNA expression profiles were subsequently established for all patients. The expression of selected microRNAs was validated using semi-quantitative real-time PCR.

Results: Forty-nine microRNAs were significantly differentially expressed (log2-fold difference >0.5 and P<0.001) between rectal cancer and normal rectal mucosa. The predicted targets for the identified microRNAs were enriched for the following KEGG pathways: Wnt, TGF-beta, mTOR, insulin, MAPK, and ErbB signaling. Between rectal tumor and normal tissue, miR-492, miR-542-5p, miR-584, miR-483-5p, miR-144, miR-2110, miR-652*, miR-375, miR-147b, miR-148a, miR-190, miR-26a/b, and miR-338-3p were found to be differentially expressed. Of clinical impact, miR-135b expression correlated significantly with overall survival that could be validated in a larger multicenter patient set (n=94).

Conclusion: The comprehensive analysis of the rectal cancer microRNAome uncovered novel microRNAs and pathways associated with rectal cancer. This information contributes to a detailed view of rectal cancer. The identification and validation of miR-135b will help to identify novel molecular targets and pathways for therapeutic exploitation.
 
Overall design Paired samples from rectal tumor and matched normal samples. Included are also 2 technical replicates.
 
Contributor(s) Søkilde R, Gaedcke J, Grade M, Camps J, Kaczkowski B, Schetter AJ, Difilippantonio MJ, Harris CC, Ghadim M, Møller S, Beissbarth T, Ried T, Litman T
Citation(s) 22850566
Submission date May 31, 2012
Last update date Oct 05, 2012
Contact name Rolf Søkilde
E-mail(s) rolf.soekilde@gmail.com
Organization name Lund University, Sweden
Department Department of Oncology
Street address Scheelevägen 2
City Lund
ZIP/Postal code 221 85
Country Sweden
 
Platforms (1)
GPL11039 Exiqon miRCURY LNA microRNA array v.9.2 Extended Version
Samples (140)
GSM941048 P009T
GSM941049 P011T
GSM941050 P012T
Relations
BioProject PRJNA168143

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE38389_RAW.tar 188.6 Mb (http)(custom) TAR (of TXT)
Processed data included within Sample table

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