Evidence map›Paper›PMID 33332731›Full record

ArticleThe Kaohsiung journal of medical sciences2021

MiR-10a-5p restrains the aggressive phenotypes of ovarian cancer cells by inhibiting HOXA1.

Li-Jun Liu, Xiao-Yan Sun, Chen-Xi Yang, Xiao-Yan Zou

Open access · goldAbstract read
In one paragraph

Article in The Kaohsiung journal of medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 30% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  5. The role of HOXA1 in cancer and targeted therapy.Medical oncology (Northwood, London, England) · 2025
    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

4 authors at 3 institutions in 1 country.

Li-Jun LiuDepartment of Gynaecology, Rongcheng People's Hospital, Weihai, Shandong, China.
Xiao-Yan SunDepartment of Gynaecology, Rongcheng People's Hospital, Weihai, Shandong, China.
Chen-Xi YangReproductive Medicine Department, Women and Children's Hospital, Qingdao, Shandong, China.
Xiao-Yan ZouDepartment of Gynaecology, Jinan Fifth People's Hospital, Jinan, Shandong, China.ORCID https://orcid.org/0000-0002-8186-9976
Rongcheng City People's Hospital · CNFourth People’s Hospital of Jinan · CNQingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are dysregulated in human ovarian carcinoma (OC). But the mechanism underlying miR-10a-5p in regulating the progression of OC need deeply explored. In the current study, we observed that miR-10a-5p was down-expressed in OC samples and OC cell lines. In addition, miR-10a-5p restrained the viability, colony formation, migration ability and invasiveness of OC cells. We further ascertained Homeobox A1 (HOXA1) was a downstream gene of miR-10a-5p. Furthermore, HOXA1 was distinctly upregulated in OC samples. Finally, upregulation of HOXA1 abolished the suppressive effects of miR-10a-5p on OC cells. These observations suggested that miR-10a-5p suppressed the aggressive phenotypes of OC cells via regulating HOXA1.

Indexed as

Gene Expression Regulation, Neoplastic3' Untranslated RegionsAdultAgedCell Line, TumorCell MovementCell ProliferationCell SurvivalFemaleGene Expression ProfilingHomeobox A1 ProteinHomeodomain ProteinsHumansLymphatic MetastasisMicroRNAsMiddle Aged3' Untranslated RegionsHomeobox A1 ProteinHomeodomain ProteinsMicroRNAsMIRN10 microRNA, humanTranscription FactorsHOXA1invasionmigrationmiR-10a-5povarian cancer

Identifiers

PMID33332731
PMCPMC11896446
OpenAlexW3114613796

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.