BC-miR: Monitoring Breast Cancer-Related miRNA Profile in Blood Sera-A Prosperous Approach for Tumor Detection

Cells. 2022 Aug 31;11(17):2721. doi: 10.3390/cells11172721.

Abstract

Breast cancer is the most frequent cancer with a high fatality rate amongst women worldwide. Diagnosing at an early stage is challenging, and due to the limitations of the currently used techniques, including mammography and imaging diagnostics, it still remains unascertained. Serum biomarkers can be a solution for this as they can be isolated in a less painful, more cost-effective, and minimally invasive manner. In this study, we shed light on the relevant role of multiple microRNAs (miRNAs) as potential biomarkers in breast cancer diagnosis. We monitored the expressional changes of 15 pre-selected miRNAs in a large cohort, including 65 patients with breast cancer and 42 healthy individuals. We performed thorough statistical analyses on the cohort sample set and determined the diagnostic accuracy of individual and multiple miRNAs. Our study reveals a potential improvement in diagnostics by implicating the monitoring of miR-15a+miR-16+miR-221 expression in breast cancer management.

Keywords: biomarker; breast cancer; miRNA; serum.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers, Tumor / metabolism
  • Breast / metabolism
  • Breast Neoplasms* / diagnosis
  • Breast Neoplasms* / genetics
  • Breast Neoplasms* / pathology
  • Female
  • Humans
  • MicroRNAs* / metabolism

Substances

  • Biomarkers, Tumor
  • MicroRNAs

Grants and funding

This research was funded by the National Research, Development and Innovation Office grant GINOP-2.2.1-15-2017-00052 and NKFI-FK 132080. T.P. was funded by National Research, Development and Innovation Office grant GINOP-2.2.1-15-2017-00052, 2019-1.1.1-PIACI-KFI-2019-00080, the János Bolyai Research Scholarship of the Hungarian Academy of Sciences BO/27/20, UNKP-20-5-SZTE-265, and UNKP-21-5-SZTE-563. B.N.B. was funded by the NKFI-FK 132080, NTP-NFTÖ-21-B-0043, and EMBO short-term fellowship 8513. The project has received funding from the EU’s Horizon 2020 research and innovation program under grant agreement No. 739593.