4.7 Article

Novel circulating microRNA signature as a potential non-invasive multi-marker test in ER-positive early-stage breast cancer: A case control study

Journal

MOLECULAR ONCOLOGY
Volume 8, Issue 5, Pages 874-883

Publisher

WILEY
DOI: 10.1016/j.molonc.2014.03.002

Keywords

miRNA; Serum markers; Breast cancer

Categories

Funding

  1. Odense University Hospital, the Region of Southern Denmark
  2. University of Southern Denmark
  3. Svend H.A Schroder and wife Ketty L. Larsen Schroder Foundation
  4. Fabrikant Einar Willumsens Mindelegat
  5. A.P. Moller and wife Chastine Mc-Kinney Mollers Foundation
  6. Beckett Foundation
  7. King Christian X Foundation
  8. Mimi and Victor Larsen Foundation
  9. Danish Cancer Society
  10. Danish Research Council
  11. Danish Center for Translational Breast Cancer Research (DCTB)
  12. Race Against Breast Cancer
  13. The Danish Cancer Society [R99-A6362] Funding Source: researchfish

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Introduction: There are currently no highly sensitive and specific minimally invasive biomarkers for detection of early-stage breast cancer. MicroRNAs (miRNAs) are present in the circulation and may be unique biomarkers for early diagnosis of human cancers. The aim of this study was to investigate the differential expression of miRNAs in the serum of breast cancer patients and healthy controls. Methods: Global miRNA analysis was performed on serum from 48 patients with ER-positive early-stage breast cancer obtained at diagnosis (24 lymph node-positive and 24 lymph node-negative) and 24 age-matched healthy controls using LNA-based quantitative real-time PCR (qRT-PCR). A signature of miRNAs was subsequently validated in an independent set of 111 serum samples from 60 patients with early-stage breast cancer and 51 healthy controls and further tested for reproducibility in 3 independent data sets from the GEO Database. Results: A multivariable signature consisting of 9 miRNAs (miR-15a, miR-18a, miR-107, miR-133a, miR-139-5p, miR-143, miR-145, miR-365, miR-425) was identified that provided considerable discrimination between breast cancer patients and healthy controls. Further, the ability of the 9 miRNA signature to stratify samples from breast cancer patients and healthy controls was confirmed in the validation set (p = 0.012) with a corresponding AUG = 0.665 in the ROC-curve analysis. No association between miRNA expression and tumor grade, tumor size, menopausal- or lymph node status was observed. The signature was also successfully validated in a previously published independent data set of circulating miRNAs in early-stage breast cancer (p = 0.024).

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