Evidence map›Paper›PMID 31740654›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2019

miR-652 Promotes Proliferation and Migration of Uveal Melanoma Cells by Targeting HOXA9.

Zhaoxia Xia, Chaoying Yang, Xiaoxi Yang, Shuduan Wu, Zhizhen Feng, Lei Qu, Xianghua Chen, Lingyu Liu, Yanling Ma

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

24 citing papers in PubMed, 29 citations in OpenAlex.

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  14. Targets and regulation of microRNA-652-3p in homoeostasis and disease.Journal of molecular medicine (Berlin, Germany) · 2021
    Review
  15. Hypoxia-dependent drivers of melanoma progression.Journal of experimental & clinical cancer research : CR · 2021
    Review
  16. Article
  17. Emerging roles of microRNAs and their implications in uveal melanoma.Cellular and molecular life sciences : CMLS · 2021
    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

9 authors at 2 institutions in 1 country.

Zhaoxia XiaDepartment of Ophthalmology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (mainland).
Chaoying YangDepartment of Dermatology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (mainland).
Xiaoxi YangDepartment of Ophthalmology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (mainland).
Shuduan WuDepartment of Ophthalmology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (mainland).
Zhizhen FengDepartment of Ophthalmology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (mainland).
Lei QuDepartment of Ophthalmology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (mainland).
Xianghua ChenDepartment of Ophthalmology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (mainland).
Lingyu LiuDepartment of Ophthalmology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (mainland).
Yanling MaDepartment of Ophthalmology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (mainland).
Sun Yat-sen University · CNSixth Affiliated Hospital of Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Dysregulation of the microRNA (miRNA) network is a typical feature of many cancers. However, the key specific miRNAs involved in uveal melanoma carcinogenesis are largely unknown. MATERIAL AND METHODS RT-qPCR was used to detected miR-652 expression in uveal melanoma tissues and cell lines. miR-652 inhibitor was transfected into uveal melanoma cells to decrease miR-652 expression and determine the biological role of miR-652 by CCK-8 and wound healing assays. Bioinformatic analysis and dual luciferase reporter assay were used to predict and validate the target gene of miR-652. HOXA9 siRNA was transfected into cells to confirm that miR-652 relies on regulation of HOXA9 to regulate cell proliferation and migration. RESULTS RT-qPCR showed that miR-652 was overexpressed in uveal melanoma cell lines (MUM-2B, MEL270) compared with melanocyte cells (ARPE-19). Overexpression of miR-652 was also observed in uveal melanoma compared to paired non-tumor tissues. Downregulation of miR-652 inhibited the cell proliferation ability and migration ability of uveal melanoma cells. Using bioinformatic analysis, HOXA9 was found to be a potential target gene of miR-652. The direct regulation of HOXA9 by miR-652 was experimentally validated in uveal melanoma cells by dual luciferase assay and Western blotting. We also observed that miR-652 promoted HIF-1alpha signaling via repression of HOXA9 in uveal melanoma cells. Silencing of HOXA9 attenuated the miR-652 inhibitor decreased cell growth rate and decreased migration ability in uveal melanoma cells. CONCLUSIONS Our data demonstrate an oncogenic role of miR-652 in uveal melanoma, showing that miR-652 may be a useful biomarker for prediction of prognosis for patients with uveal melanoma.

Indexed as

Cell Line, TumorCell MovementCell ProliferationHomeodomain ProteinsHumansMelanomaMicroRNAsSignal TransductionUveal MelanomaUveal Neoplasmshomeobox protein HOXA9Homeodomain ProteinsMicroRNAsMIRN652 microRNA, human

Identifiers

PMID31740654
PMCPMC6880646
OpenAlexW2989775172

What OpenQuestion holds

Textmetadata
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.