Experiment Detail



Experiment IDEXP00331
ReferenceTitle: Identification of circulating microRNA signatures for breast cancer detection.
Author: Chan M, Liaw CS, Ji SM, Tan HH, Wong CY, Thike AA, Tan PH, Ho GH, Lee AS.
Journal: Clin Cancer Res. 2013 Aug 15;19(16):4477-87. doi: 10.1158/1078-0432.CCR-12-3401. Epub 2013 Jun 24.
Abstract: PURPOSE: There is a quest for novel noninvasive diagnostic markers for thedetection of breast cancer. The goal of this study is to identify circulatingmicroRNA (miRNA) signatures using a cohort of Asian Chinese patients with breast cancer, and to compare miRNA profiles between tumor and serum samples.EXPERIMENTAL DESIGN: miRNA from paired breast cancer tumors, normal tissue, andserum samples derived from 32 patients were comprehensively profiled usingmicroarrays or locked nucleic acid real-time PCR panels. Serum samples fromhealthy individuals (n = 22) were also used as normal controls. Significant serummiRNAs, identified by logistic regression, were validated in an independent setof serum samples from patients (n = 132) and healthy controls (n = 101).RESULTS: The 20 most significant miRNAs differentially expressed in breast cancertumors included miRNA (miR)-21, miR-10b, and miR-145, previously shown to bedysregulated in breast cancer. Only 7 miRNAs were overexpressed in both tumorsand serum, suggesting that miRNAs may be released into the serum selectively.Interestingly, 16 of the 20 most significant miRNAs differentially expressed inserum samples were novel. MiR-1, miR-92a, miR-133a, and miR-133b were identified as the most important diagnostic markers, and were successfully validated;receiver operating characteristic curves derived from combinations of thesemiRNAs exhibited areas under the curves of 0.90 to 0.91.CONCLUSION: The clinical use of miRNA signatures as a noninvasive diagnosticstrategy is promising, but should be further validated for different subtypes of breast cancers.
PMID: 23797906
Expressiion ProfileDescription: Clinical Utility of Circulating MicroRNA Signatures for Breast Cancer Diagnosis (RT-PCR)
Organism: Homo sapiens
GEO ID: GSE41922
Platform: GPL16224
Number of samples: 54
Design and SampleCancer Type: breast cancer
Cancer SubType: N/D
Cell Line: N/D
Experimental Design: blood
Case Sample: blood from breast cancer
Control Sample: normal blood
Num of Case: 32
Num of Control: 22
Quantification Software: limma
Num of miRNAs: 274
IdentificationNum of Up: 27
Num of Down: 34