Evidence map›Paper›PMID 29689704›Full record

ArticleCancer biomarkers : section A of Disease markers2018

Whole blood miRNA expression analysis reveals miR-3613-3p as a potential biomarker for dedifferentiated liposarcoma.

A Fricke, A F V Cimniak, P V Ullrich, C Becherer, C Bickert, D Pfeifer, J Heinz, G B Stark, H Bannasch, D Braig and 1 more

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 24% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Circulating Biomarkers in Sarcoma.Current oncology reports · 2025
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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

11 authors at 2 institutions in 1 country.

A FrickeDepartment of Plastic and Hand Surgery, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
A F V CimniakDepartment of Plastic and Hand Surgery, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
P V UllrichDepartment of Plastic and Hand Surgery, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
C BechererDepartment of Plastic and Hand Surgery, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
C BickertDepartment of Plastic and Hand Surgery, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
D PfeiferDepartment of Hematology, Oncology and Stem Cell Transplantation, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
J HeinzDepartment of Hematology, Oncology and Stem Cell Transplantation, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
G B StarkDepartment of Plastic and Hand Surgery, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
H BannaschDepartment of Plastic and Hand Surgery, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
D BraigDepartment of Plastic and Hand Surgery, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
S U EisenhardtDepartment of Plastic and Hand Surgery, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
University of Freiburg · DEUniversity Medical Center Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLiposarcoma constitute about 13% of all soft tissue sarcoma and are associated with a high risk of metastases. As the preoperative differentiation between benign and malign lipomatous tumors is restricted to magnetic resonance imaging, computed tomography and biopsy, we performed a miRNA array to distinguish dedifferentiated liposarcoma patients from healthy controls and lipoma patients.

methodsBlood samples of patients with dedifferentiated liposarcoma, healthy controls and lipoma patients were collected. Whole blood RNA was extracted and samples of patients with dedifferentiated liposarcoma (n= 6) and of healthy donors (n= 4) were analyzed using an Affymetrix GeneChip miRNA Array v. 4.0. qRT-PCR was carried out to confirm the most differentially expressed miRNA; being further analyzed in an independent cohort of healthy controls as well as in lipoma patients.

resultsAs shown by the microarray, two miRNAs (miR-3613-3p, miR-4668-5p) were shown to be significantly upregulated (fold change: > 2.5; p< 0.05) in patients with dedifferentiated liposarcoma (n= 6) as compared to healthy controls (n= 4). miR-3613-3p was further validated by qRT-PCR to be significantly upregulated in dedifferentiated liposarcoma patients compared to an independent cohort of healthy controls (n= 3) and lipoma patients (n= 5).

conclusionWe identified a specific whole blood miRNA (miR-3613-3p) that may serve to distinguish between dedifferentiated liposarcoma patients and healthy controls, thus potentially serving as a specific biomarker for dedifferentiated liposarcoma.

Indexed as

Biomarkers, TumorCirculating MicroRNAAgedAged, 80 and overCase-Control StudiesCluster AnalysisFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLiposarcomaMaleMicroRNAsMiddle AgedNeoplasm GradingReproducibility of ResultsBiomarkers, TumorCirculating MicroRNAMicroRNAsbiomarkerdedifferentiated liposarcomaliquid biopsymiRNAWhole-blood-RNA

Identifiers

PMID29689704
PMCPMC13078421
OpenAlexW2799931226

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.