Evidence map›Paper›PMID 33985542›Full record

ArticleJournal of translational medicine2021

METTL13 inhibits progression of clear cell renal cell carcinoma with repression on PI3K/AKT/mTOR/HIF-1α pathway and c-Myc expression.

Zhuonan Liu, Tianshui Sun, Chiyuan Piao, Zhe Zhang, Chuize Kong

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 27 citations in OpenAlex.

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  11. Diagnostic and Prognostic Value of Methyltransferase Like 13 in Hepatocellular Carcinoma Based on Bioinformatics Analysis.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2024
    Article
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  16. METTLing in Stem Cell and Cancer Biology.Stem cell reviews and reports · 2023
    Review
  17. Article
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  20. 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

5 authors at 2 institutions in 1 country.

Zhuonan LiuDepartment of Urology, First Hospital of China Medical University, School of China Medical University, No. 155 Nanjing North Street, Heping District, Shenyang City, 110004, Liaoning Province, People's Republic of China.
Tianshui SunDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang City, 110004, Liaoning Province, People's Republic of China.
Chiyuan PiaoDepartment of Urology, First Hospital of China Medical University, School of China Medical University, No. 155 Nanjing North Street, Heping District, Shenyang City, 110004, Liaoning Province, People's Republic of China.
Zhe ZhangDepartment of Urology, First Hospital of China Medical University, School of China Medical University, No. 155 Nanjing North Street, Heping District, Shenyang City, 110004, Liaoning Province, People's Republic of China. zhangzhe@cmu1h.com.
Chuize KongDepartment of Urology, First Hospital of China Medical University, School of China Medical University, No. 155 Nanjing North Street, Heping District, Shenyang City, 110004, Liaoning Province, People's Republic of China. kongchuize_cmu@sina.cn.ORCID 0000-0002-0875-2173
First Hospital of China Medical University · CNChina Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClear cell renal cell carcinoma (ccRCC) is the most common and aggressive type of renal malignancy. Methyltransferase like 13 (METTL13) functions as an oncogene in most of human cancers, but its function and mechanism in ccRCC remains unreported.

methodsqRT-PCR, western blotting and immunohistochemistry were used to detect METTL13's expression in tissues. The effects of METTL13 on ccRCC cells' growth and metastasis were determined by both functional experiments and animal experiments. Weighted gene co-expression network analysis (WGCNA) was performed to annotate METTL13's functions and co-immunoprecipitation (co-IP) was used to determine the interaction between METTL13 and c-Myc.

resultsMETTL13 was underexpressed in ccRCC tissues compared to normal kidney tissues and its low expression predicted poor prognosis for ccRCC patients. The in vitro studies showed that knockdown and overexpression of METTL13 respectively led to increase and decrease in ccRCC cells' proliferation, viability, migratory ability and invasiveness as well as epithelial-mesenchymal transition (EMT). The in vivo experiment demonstrated the inhibitory effect that METTL13 had on ccRCC cells' growth and metastasis. Bioinformatic analyses showed various biological functions and pathways METTL13 was involved in. In ccRCC cells, we observed that METTL13 could negatively regulate PI3K/AKT/mTOR/HIF-1α pathway and that it combined to c-Myc and inhibited c-Myc protein expression.

conclusionsIn general, our finding suggests that high expression of METTL13 is associated with favorable prognosis of ccRCC patients. Meanwhile, METTL13 can inhibit growth and metastasis of ccRCC cells with participation in multiple potential molecular mechanisms. Therefore, we suggest METTL13 can be a new diagnostic and therapeutic target for ccRCC in the future.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsAnimalsCell Line, TumorCell MovementCell ProliferationGene Expression Regulation, NeoplasticHumansMethyltransferasesPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktTOR Serine-Threonine KinasesEEF1AKNMT protein, humanMethyltransferasesMTOR protein, humanPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktTOR Serine-Threonine KinasesClear cell renal cell carcinomaC-MycEpithelial-mesenchymal transitionHIF-1αInvasionMETTL13MigrationProliferation

Identifiers

PMID33985542
PMCPMC8120818
OpenAlexW3135289686

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.