Evidence map›Paper›PMID 40630212›Full record

ArticleFrontiers in oncology2025

MiR-221, miR-320a, miR133a, and miR-133b as potential biomarkers in leiomyosarcoma.

Mst Nasrin Akhtar, Annabell Walter, Kathrin Katenkamp, Yuan Chen, Thomas Lehmann, Wolfram Weschenfelder, Christian Spiegel, Matthias Vogt, Gunther O Hofmann, Andreas Hochhaus and 3 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Mst Nasrin AkhtarAbteilung für Hämatologie und Internistische Onkologie, Klinik für Innere Medizin II, Universitätsklinikum Jena, Jena, Germany.
Annabell WalterAbteilung für Hämatologie und Internistische Onkologie, Klinik für Innere Medizin II, Universitätsklinikum Jena, Jena, Germany.
Kathrin KatenkampMitteldeutsches Krebszentrum, Standort Jena, Jena, Germany.
Yuan ChenMitteldeutsches Krebszentrum, Standort Jena, Jena, Germany.
Thomas LehmannMitteldeutsches Krebszentrum, Standort Jena, Jena, Germany.
Wolfram WeschenfelderMitteldeutsches Krebszentrum, Standort Jena, Jena, Germany.
Christian SpiegelMitteldeutsches Krebszentrum, Standort Jena, Jena, Germany.
Matthias VogtKlinik im Medizentrum PartGmbB, Erlangen, Germany.
Gunther O HofmannMitteldeutsches Krebszentrum, Standort Jena, Jena, Germany.
Andreas HochhausAbteilung für Hämatologie und Internistische Onkologie, Klinik für Innere Medizin II, Universitätsklinikum Jena, Jena, Germany.
Nikolaus GaßlerMitteldeutsches Krebszentrum, Standort Jena, Jena, Germany.
Joachim H ClementAbteilung für Hämatologie und Internistische Onkologie, Klinik für Innere Medizin II, Universitätsklinikum Jena, Jena, Germany.
Karin G SchrenkAbteilung für Hämatologie und Internistische Onkologie, Klinik für Innere Medizin II, Universitätsklinikum Jena, Jena, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Leiomyosarcoma is an aggressive tumor with a high rate of distant metastasis and poor prognosis. No standardized biomarkers are available to assess early diagnosis or monitoring during the clinical course. MicroRNAs (miRNAs) function in modulating a multitude of targets and are involved in tumorigenesis, cancer progression, and metastasis. This study was designed to evaluate miR-221, miR-320a, miR-133a, and miR-133b as potential biomarkers in leiomyosarcoma. Materials and methods: The expression levels of miR-221, miR-320a, miR-133a, and miR-133b as well as their target mRNAs Results and discussion: The expression levels of miR-221, miR-320a, and miR-133a were significantly upregulated in leiomyosarcoma tumor tissue compared to adjacent non-tumor tissue (p = 0.003 for miR-221, p = 0.006 for miR-320a, and p = 0.044 for miR-133a respectively). The target mRNAs Conclusion: miR-221, miR-320a, and miR-133a were significantly upregulated in leiomyosarcoma tumor tissue as compared to adjacent non-tumor tissue. There was no significant difference in miRNA expression and ROC curves in primary tumors as compared to local tumors. While not statistically significant, ROC curve of miR-133b suggests a potential role in predicting metastatic risk, warranting subsequent analysis. This study provides evidence for further evaluation of miR-221, miR-320a, miR-133a, and miR-133b as biomarkers in primary diagnosis and assessment of metastatic risk in leiomyosarcoma.

Indexed as

biomarkersmiR-133amiR-133bmiR-221miR-320amiRNAsarcoma

Identifiers

PMID40630212
PMCPMC12236100

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