| Literature DB >> 27082076 |
Vilde D Haakensen1,2, Vegard Nygaard3, Liliana Greger4, Miriam R Aure1,2, Bastian Fromm3, Ida R K Bukholm5,6, Torben Lüders6,7, Suet-Feung Chin8, Anna Git8,9, Carlos Caldas8,9, Vessela N Kristensen1,2,7, Alvis Brazma4, Anne-Lise Børresen-Dale1,2, Eivind Hovig3,10,11, Åslaug Helland1,12.
Abstract
Robust markers of invasiveness may help reduce the overtreatment of in situ carcinomas. Breast cancer is a heterogeneous disease and biological mechanisms for carcinogenesis vary between subtypes. Stratification by subtype is therefore necessary to identify relevant and robust signatures of invasive disease. We have identified microRNA (miRNA) alterations during breast cancer progression in two separate datasets and used stratification and external validation to strengthen the findings. We analyzed two separate datasets (METABRIC and AHUS) consisting of a total of 186 normal breast tissue samples, 18 ductal carcinoma in situ (DCIS) and 1,338 invasive breast carcinomas. Validation in a separate dataset and stratification by molecular subtypes based on immunohistochemistry, PAM50 and integrated cluster classifications were performed. We propose subtype-specific miRNA signatures of invasive carcinoma and a validated signature of DCIS. miRNAs included in the invasive signatures include downregulation of miR-139-5p in aggressive subtypes and upregulation of miR-29c-5p expression in the luminal subtypes. No miRNAs were differentially expressed in the transition from DCIS to invasive carcinomas on the whole, indicating the need for subtype stratification. A total of 27 miRNAs were included in our proposed DCIS signature. Significant alterations of expression included upregulation of miR-21-5p and the miR-200 family and downregulation of let-7 family members in DCIS samples. The signatures proposed here can form the basis for studies exploring DCIS samples with increased invasive potential and serum biomarkers for in situ and invasive breast cancer.Entities:
Keywords: DCIS; biomarker; breast cancer invasion; miRNA; subtype
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Year: 2016 PMID: 27082076 DOI: 10.1002/ijc.30142
Source DB: PubMed Journal: Int J Cancer ISSN: 0020-7136 Impact factor: 7.396