Your browser doesn't support javascript.
loading
Hsa-miR-3651 could serve as a novel predictor for in-breast recurrence via FRMD3.
Zellinger, Barbara; Bodenhofer, Ulrich; Engländer, Immanuela A; Kronberger, Cornelia; Grambozov, Brane; Ruznic, Elvis; Stana, Markus; Karner, Josef; Fastner, Gerd; Sotlar, Karl; Sedlmayer, Felix; Zehentmayr, Franz.
Affiliation
  • Zellinger B; radART-Institute for Research and Development on Advanced Radiation Technologies, Paracelsus Medical University, Salzburg, Austria.
  • Bodenhofer U; Department of Pathology, Paracelsus Medical University, SALK, Salzburg, Austria.
  • Engländer IA; School of Informatics, Communications and Media, University of Applied Sciences Upper Austria, Hagenberg, Austria.
  • Kronberger C; Institute for Machine Learning, Johannes Kepler University, Linz, Austria.
  • Grambozov B; Department of Radiation Oncology, Paracelsus Medical University, SALK, Müllner Hauptstrasse 48, 5020, Salzburg, Austria.
  • Ruznic E; radART-Institute for Research and Development on Advanced Radiation Technologies, Paracelsus Medical University, Salzburg, Austria.
  • Stana M; Department of Pathology, Paracelsus Medical University, SALK, Salzburg, Austria.
  • Karner J; Department of Radiation Oncology, Paracelsus Medical University, SALK, Müllner Hauptstrasse 48, 5020, Salzburg, Austria.
  • Fastner G; Department of Radiation Oncology, Paracelsus Medical University, SALK, Müllner Hauptstrasse 48, 5020, Salzburg, Austria.
  • Sotlar K; Department of Radiation Oncology, Paracelsus Medical University, SALK, Müllner Hauptstrasse 48, 5020, Salzburg, Austria.
  • Sedlmayer F; Department of Radiation Oncology, Paracelsus Medical University, SALK, Müllner Hauptstrasse 48, 5020, Salzburg, Austria.
  • Zehentmayr F; Department of Radiation Oncology, Paracelsus Medical University, SALK, Müllner Hauptstrasse 48, 5020, Salzburg, Austria.
Breast Cancer ; 29(2): 274-286, 2022 Mar.
Article in En | MEDLINE | ID: mdl-34865205
ABSTRACT

BACKGROUND:

MicroRNAs are small non-coding RNAs with pivotal regulatory functions in multiple cellular processes. Their significance as molecular predictors for breast cancer was demonstrated in the past 15 years. The aim of this study was to elucidate the role of hsa-miR-3651 for predicting of local control (LC) in early breast cancer.

RESULTS:

By means of high-throughput technology, hsa-miR-3651 was found to be differentially expressed between patients who experienced local relapse compared to those without (N = 23; p = 0.0035). This result could be validated in an independent cohort of 87 patients using RT-qPCR (p < 0.0005). In a second analysis step with a chip-based microarray containing 70,523 probes of potential target molecules, FERM domain protein 3 (FRMD3) was found to be the most down-regulated protein (N = 21; p = 0.0016). Computational analysis employing different prediction algorithms revealed FRMD3 as a likely downstream target of hsa-miR-3651 with an 8mer binding site between the two molecules. This could be validated in an independent patient set (N = 20, p = 0.134).

CONCLUSION:

The current study revealed that hsa-miR-3651 is a predictor of LC in early breast cancer via its putative target protein FRMD3. Since microRNAs interfere in multiple pathways, the results of this hypothesis generating study may contribute to the development of tailored therapies for breast cancer in the future.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Tumor Suppressor Proteins / MicroRNAs / Neoplasm Recurrence, Local Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Breast Cancer Journal subject: NEOPLASIAS Year: 2022 Document type: Article Affiliation country: Austria

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Tumor Suppressor Proteins / MicroRNAs / Neoplasm Recurrence, Local Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Breast Cancer Journal subject: NEOPLASIAS Year: 2022 Document type: Article Affiliation country: Austria