microRNA Expression in Prospectively Collected Blood as a Potential Biomarker of Breast Cancer Risk in the BCFR.

Anticancer Res

Department of Environmental Health Sciences, Mailman School of Public Health of Columbia University, New York, NY, U.S.A. Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY, U.S.A.

Published: July 2015

AI Article Synopsis

  • The study aimed to assess if microRNA (miRNA) expression in blood cells could serve as a reliable biomarker for predicting breast cancer risk in high-risk women.
  • Next-generation sequencing analyzed miRNA profiles in blood samples from 20 women who later developed breast cancer and 20 unaffected women, identifying five potential risk-related miRNAs.
  • Although some miRNAs showed altered expression, validation with additional samples did not yield statistically significant results, indicating the need for larger studies to explore the relationship between miRNA levels and risk timing.

Article Abstract

Background/aim: Current breast cancer risk assessment models have moderate discriminatory ability. We evaluated whether microRNA (miRNA) expression profiles in peripheral blood mononuclear cells (PBMC) could be a useful biomarker of risk in high-risk women.

Materials And Methods: Next-generation sequencing evaluated miR expression in PBMCs of 20 women who were unaffected at the time of recruitment and later diagnosed with breast cancer and 20 unaffected women.

Results: Out of the 5 miRNAs identified as potential risk markers, miR-144-3p, miR-451a, miR-144-5p and miR-183-5p were up-regulated, while miR-708-5p was down-regulated. We then evaluated these miRs in 28 additional case/control pairs using quantitative reverse transcription polymerase chain reaction (PCR). None of the results in the validation sample were statistically significant possibly due to the much longer interval between blood collection and diagnosis in the validation set.

Conclusions: Differentially expressed miRNAs from PBMCs may be potential non-invasive biomarkers for breast cancer prediction. Larger prospective studies are required to confirm whether our findings with specific miRNA loci were related to timing before diagnosis.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4776637PMC

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