Evidence map›Paper›PMID 37546627›Full record

ArticleACS omega2023

miR-34a-FOXP1 Loop in Ovarian Cancer.

Esra Dirimtekin, Maria Mortoglou, Ceren Alavanda, Asmaa Benomar Yemlahi, Esra Arslan Ates, Ilter Guney, Pinar Uysal-Onganer

Abstract read
In one paragraph

Article in ACS omega, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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. Article
  2. Article
  3. Circulating biomarkers for diagnosis and response to therapies in cancer patients.International review of cell and molecular biology · 2025
    Review
  4. Review
  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

7 authors.

Esra DirimtekinDepartment of Medical Genetics, School of Medicine, Marmara University, 34854 Istanbul, Turkey.
Maria MortoglouCancer Mechanisms and Biomarkers Research Group, School of Life Sciences, University of Westminster, W1W 6UW London, U.K.
Ceren AlavandaDepartment of Medical Genetics, School of Medicine, Marmara University, 34854 Istanbul, Turkey.
Asmaa Benomar YemlahiCancer Mechanisms and Biomarkers Research Group, School of Life Sciences, University of Westminster, W1W 6UW London, U.K.
Esra Arslan AtesDepartment of Medical Genetics, Istanbul University-Cerrahpasa, Cerrahpasa Faculty of Medicine, 34098 Istanbul, Turkey.
Ilter GuneyDepartment of Medical Genetics, School of Medicine, Marmara University, 34854 Istanbul, Turkey.
Pinar Uysal-OnganerCancer Mechanisms and Biomarkers Research Group, School of Life Sciences, University of Westminster, W1W 6UW London, U.K.ORCID https://orcid.org/0000-0003-3190-8831

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (OC) is the main cause of gynecological cancer mortality in most developed countries. microRNA (miR) expression dysregulation has been highlighted in human cancers, and miR-34a is found to be downregulated and associated with inhibition of tumor growth and invasion in several malignancies, including OC. The winged helix transcription factor forkhead box P1 (FOXP1) is reported as either an oncogene or tumor suppressor in various cancers. This study aimed to elucidate potential clinical and biological associations of miR-34a and transcription factor FOXP1 in OC. We investigated nine OC patients' blood samples and two OC cell lines (SKOV-3 and OVCAR-3) using quantitative real-time reverse transcription polymerase chain reaction (RT-qPCR) to determine both miR-34a and FOXP1 expressions. We have found that miR-34a and FOXP1 are reversely correlated in both in vitro and in vivo. Inhibition of miR-34a transiently led to upregulation of FOXP1 mRNA expression and increased cellular invasion in vitro. Our data indicate that miR-34a could be a potential biomarker for improving the diagnostic efficiency of OC, and miR-34a overexpression may reduce OC pathogenesis by targeting FOXP1.

Identifiers

PMID37546627
PMCPMC10399168

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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.