PDF file - 127K, Supplementary Table S1: Details of breast cancer patients employed for this study. IDC (NOS), Invasive Ductal Carcinoma (Not Otherwise Specified); DCIS, Ductal Carcinoma In-Situ; ILC, Invasive lobular carcinoma; LN, lymph node status; na, not available; nd, not detected. Supplementary Table S2: Complete list of significant microRNAs identified from breast cancer tumour and serum samples. Supplementary Table S3: Complete list of significant breast cancer tumour microRNAs associated with clinicopathological features. Supplementary Table S4: Complete list of significant serum microRNAs associated with clinicopathological features.
ARTICLE ABSTRACT
Purpose: There is a quest for novel noninvasive diagnostic markers for the detection of breast cancer. The goal of this study is to identify circulating microRNA (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, and serum samples derived from 32 patients were comprehensively profiled using microarrays or locked nucleic acid real-time PCR panels. Serum samples from healthy individuals (n = 22) were also used as normal controls. Significant serum miRNAs, identified by logistic regression, were validated in an independent set of serum samples from patients (n = 132) and healthy controls (n = 101).Results: The 20 most significant miRNAs differentially expressed in breast cancer tumors included miRNA (miR)-21, miR-10b, and miR-145, previously shown to be dysregulated in breast cancer. Only 7 miRNAs were overexpressed in both tumors and serum, suggesting that miRNAs may be released into the serum selectively. Interestingly, 16 of the 20 most significant miRNAs differentially expressed in serum 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 these miRNAs exhibited areas under the curves of 0.90 to 0.91.Conclusion: The clinical use of miRNA signatures as a noninvasive diagnostic strategy is promising, but should be further validated for different subtypes of breast cancers. Clin Cancer Res; 19(16); 4477–87. ©2013 AACR.
