Evidence map›Paper›PMID 26962366›Full record

ArticleClinical epigenetics2016

Hsa-miR-375 is a predictor of local control in early stage breast cancer.

Franz Zehentmayr, Cornelia Hauser-Kronberger, Barbara Zellinger, Falk Hlubek, Claudia Schuster, Ulrich Bodenhofer, Gerd Fastner, Heinz Deutschmann, Philipp Steininger, Roland Reitsamer and 2 more

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 50 citations in OpenAlex.

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  7. Significance of metastamiR-10b in breast cancer therapeutics.Journal of the Egyptian National Cancer Institute · 2022
    Review
  8. MicroRNAs as therapeutic targets in breast cancer metastasis.Drug delivery and translational research · 2022
    Review
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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 3 institutions in 2 countries.

Franz ZehentmayrDepartment of Radiation Oncology, Paracelsus Medical University, SALK, Müllner Hauptstraße 48, A-5020 Salzburg, Austria ; radART - Institute for Research and Development on Advanced Radiation Technologies, Paracelsus Medical University, Salzburg, Austria.
Cornelia Hauser-KronbergerDepartment of Pathology, Paracelsus Medical University, SALK, Salzburg, Austria.
Barbara ZellingerradART - Institute for Research and Development on Advanced Radiation Technologies, Paracelsus Medical University, Salzburg, Austria ; Department of Pathology, Paracelsus Medical University, SALK, Salzburg, Austria.
Falk HlubekDepartment of Pathology, Ludwig Maximilian University, Munich, Germany.
Claudia SchusterDepartment of Pathology, Ludwig Maximilian University, Munich, Germany.
Ulrich BodenhoferInstitute of Bioinformatics, Johannes Kepler University, Linz, Austria.
Gerd FastnerDepartment of Radiation Oncology, Paracelsus Medical University, SALK, Müllner Hauptstraße 48, A-5020 Salzburg, Austria.
Heinz DeutschmannDepartment of Radiation Oncology, Paracelsus Medical University, SALK, Müllner Hauptstraße 48, A-5020 Salzburg, Austria ; radART - Institute for Research and Development on Advanced Radiation Technologies, Paracelsus Medical University, Salzburg, Austria.
Philipp SteiningerradART - Institute for Research and Development on Advanced Radiation Technologies, Paracelsus Medical University, Salzburg, Austria.
Roland ReitsamerDepartment of Gynecology and Obstetrics, Paracelsus Medical University, SALK, Salzburg, Austria.
Thorsten FischerDepartment of Gynecology and Obstetrics, Paracelsus Medical University, SALK, Salzburg, Austria.
Felix SedlmayerDepartment of Radiation Oncology, Paracelsus Medical University, SALK, Müllner Hauptstraße 48, A-5020 Salzburg, Austria ; radART - Institute for Research and Development on Advanced Radiation Technologies, Paracelsus Medical University, Salzburg, Austria.
Paracelsus Medical University · ATLudwig-Maximilians-Universität München · DEJohannes Kepler University of Linz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA long-term analysis by the Early Breast Cancer Trialist Group (EBCTG) revealed a strong correlation between local control and cancer-specific mortality. MicroRNAs (miRs), short (20-25 nucleotides) non-coding RNAs, have been described as prognosticators and predictors for breast cancer in recent years. The aim of the current study was to identify miRs that can predict local control after breast conserving therapy (BCT) in early stage breast cancer.

resultsClinical data of 46 early stage breast cancer patients with local relapse after BCT were selected from the institutional database. These patients were matched to 101 control patients showing identical clinical features but without local relapse. The study was conducted in two steps. (1) In the pilot study, 32 patients (16 relapses versus 16 controls) were screened for the most de-regulated microRNAs (= candidate microRNAs) in a panel of 1250 miRs by microarray technology. Eight miRs were found to be significantly de-regulated. (2) In the validation study, the candidate microRNAs were analyzed in an independent cohort of 115 patients (30 relapses versus 85 controls) with reverse transcription quantitative polymerase chain reaction (RT-qPCR). From these eight candidates, hsa-miR-375 could be validated. Its median fold change was 2.28 (Mann-Whitney U test, corrected p value = 0.008). In the log-rank analysis, high expression levels of hsa-miR-375 correlated with a significantly higher risk of local relapse (p = 0.003). In a multivariate analysis (forward stepwise regression) including established predictors and prognosticators, hsa-miR-375 was the only variable that was able to distinguish the statistical significance between relapse and control groups (raw p value = 0.000195 HR = 0.76, 95 % CI 0.66-0.88; corrected p value = 0.005).

conclusionsHsa-miR-375 predicts local control in patient with early stage breast cancer, especially in estrogen receptor α (ER-α)-positive patients. It can therefore serve as an additional molecular marker for treatment choice independently from known predictors and prognosticators. Validation in larger prospective studies is warranted.

Indexed as

AdultAgedBreast NeoplasmsCase-Control StudiesFemaleGenetic MarkersHumansMicroRNAsMiddle AgedNeoplasm Recurrence, LocalOligonucleotide Array Sequence AnalysisPrognosisReverse Transcriptase Polymerase Chain ReactionGenetic MarkersMicroRNAsMIRN375 microRNA, humanEarly stage breast cancerhsa-miR-375Local controlMicroRNAsPredictive markers

Identifiers

PMID26962366
PMCPMC4784328
OpenAlexW2295085960

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Registered trials

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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.