Evidence map›Paper›PMID 34913069›Full record

ArticleInternational journal of oncology2022

Downregulation of METTL6 mitigates cell progression, migration, invasion and adhesion in hepatocellular carcinoma by inhibiting cell adhesion molecules.

Amina Bolatkan, Ken Asada, Syuzo Kaneko, Kruthi Suvarna, Noriko Ikawa, Hidenori Machino, Masaaki Komatsu, Shuichiro Shiina, Ryuji Hamamoto

Open access · hybridAbstract read
In one paragraph

Article in International journal of oncology, 2022. 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
2.0field-weighted citation impact, top 12% 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, 33 citations in OpenAlex.

  1. Review
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  10. Decoding the role of tRNA modifications in cancer progression.Current opinion in genetics & development · 2024
    Review
  11. Structural basis of tRNA recognition by the mNature structural & molecular biology · 2024
    Article
  12. Review
  13. Review
  14. METTL Family in Healthy and Disease.Molecular biomedicine · 2024
    Review
  15. Review
  16. mNature communications · 2024
    Article
  17. Hypoxia-related THBDJournal of cellular and molecular medicine · 2024
    Article
  18. 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 1 institution in 1 country.

Amina BolatkanDepartment of Diagnostic Imaging and Interventional Oncology, Graduate School of Medicine, Juntendo University, Tokyo 113‑8421, Japan.
Ken AsadaDivision of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo 104‑0045, Japan.
Syuzo KanekoDivision of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo 104‑0045, Japan.
Kruthi SuvarnaDivision of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo 104‑0045, Japan.
Noriko IkawaDivision of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo 104‑0045, Japan.
Hidenori MachinoDivision of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo 104‑0045, Japan.
Masaaki KomatsuDivision of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo 104‑0045, Japan.
Shuichiro ShiinaDepartment of Diagnostic Imaging and Interventional Oncology, Graduate School of Medicine, Juntendo University, Tokyo 113‑8421, Japan.
Ryuji HamamotoDivision of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo 104‑0045, Japan.
Juntendo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA modifications have attracted increasing interest in recent years because they have been frequently implicated in various human diseases, including cancer, highlighting the importance of dynamic post‑transcriptional modifications. Methyltransferase‑like 6 (METTL6) is a member of the RNA methyltransferase family that has been identified in many cancers; however, little is known about its specific role or mechanism of action. In the present study, we aimed to study the expression levels and functional role of METTL6 in hepatocellular carcinoma (HCC), and further investigate the relevant pathways. To this end, we systematically conducted bioinformatics analysis of METTL6 in HCC using gene expression data and clinical information from a publicly available dataset. The mRNA expression levels of

Indexed as

Carcinoma, HepatocellularCell Adhesion MoleculesCell LineCell MovementCell ProliferationDown-RegulationHumansLiver NeoplasmstRNA MethyltransferasesCell Adhesion MoleculesMETTL6 protein, humantRNA Methyltransferasescell adhesion proteinsepigeneticsHCChepatocellular carcinomaMETTL6RNA modificationtRNA methylation

Identifiers

PMID34913069
PMCPMC8698744
OpenAlexW4200290341

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.