Evidence map›Paper›PMID 35761379›Full record

ArticleJournal of translational medicine2022

Tumor-suppressive MEG3 induces microRNA-493-5p expression to reduce arabinocytosine chemoresistance of acute myeloid leukemia cells by downregulating the METTL3/MYC axis.

Airong Wang, Yufei Chen, Luyao Shi, Mengya Li, Lingling Li, Shujuan Wang, Chong Wang

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

34 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. METTL3: a multifunctional regulator in diseases.Molecular and cellular biochemistry · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Methyltransferase-like 3-mediated RNA NFrontiers in immunology · 2025
    Review
  15. Review
  16. Epitranscriptomic RNA mAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  17. Review
  18. Article
  19. Review
  20. Small molecule inhibitors targeting mJournal of hematology & oncology · 2024
    Review
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 at 1 institution in 1 country.

Airong Wang *Department of Hematology, the First Affiliated Hospital of Zhengzhou University, Erqi District, No. 1, Eastern Jianshe Road, Zhengzhou, 450052, Henan, People's Republic of China.
Yufei Chen *Department of Hematology, the First Affiliated Hospital of Zhengzhou University, Erqi District, No. 1, Eastern Jianshe Road, Zhengzhou, 450052, Henan, People's Republic of China.
Luyao ShiDepartment of Hematology, the First Affiliated Hospital of Zhengzhou University, Erqi District, No. 1, Eastern Jianshe Road, Zhengzhou, 450052, Henan, People's Republic of China.
Mengya LiDepartment of Hematology, the First Affiliated Hospital of Zhengzhou University, Erqi District, No. 1, Eastern Jianshe Road, Zhengzhou, 450052, Henan, People's Republic of China.
Lingling LiDepartment of Hematology, the First Affiliated Hospital of Zhengzhou University, Erqi District, No. 1, Eastern Jianshe Road, Zhengzhou, 450052, Henan, People's Republic of China.
Shujuan WangDepartment of Hematology, the First Affiliated Hospital of Zhengzhou University, Erqi District, No. 1, Eastern Jianshe Road, Zhengzhou, 450052, Henan, People's Republic of China.
Chong WangDepartment of Hematology, the First Affiliated Hospital of Zhengzhou University, Erqi District, No. 1, Eastern Jianshe Road, Zhengzhou, 450052, Henan, People's Republic of China. fccwangc@zzu.edu.cn.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChemoresistance serves as a huge obstacle for acute myeloid leukemia (AML) patients. To counteract the chemoresistance in AML cells, we discussed the role of maternally expressed gene 3 (MEG3) in arabinocytosine (AraC) chemoresistance in AML cells.

methodsMEG3, microRNA (miR)-493-5p, methyltransferase-like 3 (METTL3) and MYC expression in AML cells was determined and then their interactions were also analyzed. Then, the viability and apoptosis of AML cells were determined through loss- and gain- function assay. The level of m6A modification in AML cells was examined. AML mouse models were also established to validate the potential roles of MEG3.

resultsMEG3 and miR-493-5p were downregulated in AML cells, and they were lower in resistant cells than in parental cells. MEG3 led to elevated expression of miR-493-5p which targeted METTL3. METTL3 increased expression of MYC by promoting its m6A levels. Overexpression of MEG3 and miR-493-5p or knockdown of METTL3 inhibited HL-60 and Molm13 cell proliferation and promoted their apoptosis. Overexpressed MEG3 induced heightened sensitivity of AML cells to AraC. However, the suppression of miR-493-5p reversed the effects of overexpressed MEG3 on AML cells.

conclusionsCollectively, MEG3 could upregulate miR-493-5p expression and suppress the METTL3/MYC axis through MYC m6A methylation, by which MEG3 promoted the chemosensitivity of AML cells.

Indexed as

Leukemia, Myeloid, AcuteMicroRNAsRNA, Long NoncodingAnimalsCell Line, TumorCell ProliferationDrug Resistance, NeoplasmHumansMethyltransferasesMiceProto-Oncogene Proteins c-mycMEG3 non-coding RNA, humanMethyltransferasesMETTL3 protein, humanMettl3 protein, mouseMicroRNAsMIRN493 microRNA, humanProto-Oncogene Proteins c-mycRNA, Long NoncodingAcute myeloid leukemiaChemotherapyMaternally expressed gene 3Methyltransferase-like 3microRNA-493-5p

Identifiers

PMID35761379
PMCPMC9235226
OpenAlexW4283689228

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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.