Evidence map›Paper›PMID 34865205›Full record

ArticleBreast cancer (Tokyo, Japan)2022

Hsa-miR-3651 could serve as a novel predictor for in-breast recurrence via FRMD3.

Barbara Zellinger, Ulrich Bodenhofer, Immanuela A Engländer, Cornelia Kronberger, Brane Grambozov, Elvis Ruznic, Markus Stana, Josef Karner, Gerd Fastner, Karl Sotlar and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer (Tokyo, Japan), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 33% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Barbara ZellingerradART-Institute for Research and Development on Advanced Radiation Technologies, Paracelsus Medical University, Salzburg, Austria.
Ulrich BodenhoferSchool of Informatics, Communications and Media, University of Applied Sciences Upper Austria, Hagenberg, Austria.
Immanuela A EngländerDepartment of Radiation Oncology, Paracelsus Medical University, SALK, Müllner Hauptstrasse 48, 5020, Salzburg, Austria.
Cornelia KronbergerDepartment of Pathology, Paracelsus Medical University, SALK, Salzburg, Austria.
Brane GrambozovDepartment of Radiation Oncology, Paracelsus Medical University, SALK, Müllner Hauptstrasse 48, 5020, Salzburg, Austria.
Elvis RuznicDepartment of Radiation Oncology, Paracelsus Medical University, SALK, Müllner Hauptstrasse 48, 5020, Salzburg, Austria.
Markus StanaDepartment of Radiation Oncology, Paracelsus Medical University, SALK, Müllner Hauptstrasse 48, 5020, Salzburg, Austria.
Josef KarnerDepartment of Radiation Oncology, Paracelsus Medical University, SALK, Müllner Hauptstrasse 48, 5020, Salzburg, Austria.
Gerd FastnerDepartment of Radiation Oncology, Paracelsus Medical University, SALK, Müllner Hauptstrasse 48, 5020, Salzburg, Austria.
Karl SotlarDepartment of Pathology, Paracelsus Medical University, SALK, Salzburg, Austria.
Felix SedlmayerDepartment of Radiation Oncology, Paracelsus Medical University, SALK, Müllner Hauptstrasse 48, 5020, Salzburg, Austria.
Franz ZehentmayrDepartment of Radiation Oncology, Paracelsus Medical University, SALK, Müllner Hauptstrasse 48, 5020, Salzburg, Austria. f.zehentmayr@salk.at.ORCID http://orcid.org/0000-0001-5931-3907
Paracelsus Medical University · ATJohannes Kepler University of Linz · AT

Funding

Paracelsus Medizinische Privatuniversität PMU-FFF E-12/16/085-SED
6 · The paper itself

Abstract

backgroundMicroRNAs 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.

resultsBy 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).

conclusionThe 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.

Indexed as

Breast NeoplasmsMicroRNAsNeoplasm Recurrence, LocalTumor Suppressor ProteinsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansOligonucleotide Array Sequence AnalysisFRMD3 protein, humanMicroRNAsMIRN3651 microRNA, humanTumor Suppressor ProteinsEarly breast cancerFRMD3Hsa-miR-3651Local controlPrediction

Identifiers

PMID34865205
PMCPMC8885475
OpenAlexW4200026187

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.