Evidence map›Paper›PMID 29439719›Full record

ArticleJournal of experimental & clinical cancer research : CR2018

MYL6B, a myosin light chain, promotes MDM2-mediated p53 degradation and drives HCC development.

Xingwang Xie, Xueyan Wang, Weijia Liao, Ran Fei, Nan Wu, Xu Cong, Qian Chen, Lai Wei, Yu Wang, Hongsong Chen

Open access · goldAbstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.2field-weighted citation impact, top 17% 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, 25 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Xingwang XiePeking University People's Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Disease, Beijing, 100044, China.
Xueyan WangPeking University People's Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Disease, Beijing, 100044, China.
Weijia LiaoLaboratory of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guilin Medical University, Guilin, China.
Ran FeiPeking University People's Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Disease, Beijing, 100044, China.
Nan WuPeking University People's Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Disease, Beijing, 100044, China.
Xu CongPeking University People's Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Disease, Beijing, 100044, China.
Qian ChenLaboratory of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guilin Medical University, Guilin, China.
Lai WeiPeking University People's Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Disease, Beijing, 100044, China.
Yu WangChinese Center for Disease Control and Prevention, Beijing, 102206, China. wangyu@chinacdc.cn.
Hongsong ChenPeking University People's Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Disease, Beijing, 100044, China. chenhongsong2999@163.com.
Peking University · CNPeking University People's Hospital · CNChinese Center For Disease Control and Prevention · CNGuilin Medical University · CN

Funding

The Beijing Natural Science Foundation No. 7132186The National Key Sci-Tech Special Project of China 2012ZX10002011-006The National Natural Science Foundation of China No. 81201569The National Natural Science Foundation of China No. 81541151
6 · The paper itself

Abstract

backgroundIdentification of novel MDM2 or p53 binding proteins may reveal undefined oncogenes, tumor suppressors, signaling pathways and possible treatment targets.

methodsBy means of immunoprecipitation and Mass Spectrometry analysis, we aimed to identify novel regulators of the MDM2-p53 pathway. We further clarified the impact of MYL6B on the p53 protein level and on the process of apoptosis. We also investigated the role of MYL6B in hepatocellular carcinoma by clone formation assay and by determining the correlation between its expression and prognosis of HCC patients.

resultsWe identified a novel MDM2 and p53 binding protein, MYL6B. It is a myosin light chain that could bind myosin II heavy chains to form non-muscle myosin II holoenzymes (NMII). We found that MYL6B could facilitate the binding of MDM2 to p53, which consequently promotes the ubiquitination and degradation of p53 protein. We further proved that MYL6B exerts the suppression effect on p53 as part of NMII holoenzymes because inhibiting the ATPase activity of myosin II heavy chain largely blocked this effect. We also discovered that MYL6B is overexpressed in HCC tissues and linked to the bad prognosis of HCC patients. Knocking out of MYL6B dramatically suppressed the clonogenic ability and increased the apoptosis level of HCC cell lines.

conclusionsTo summary, our results demonstrate that MYL6B is a putative tumor driver gene in HCC which could promote the degradation of p53 by enhancing its' MDM2-mediated ubiquitination.

Indexed as

ApoptosisCarcinoma, HepatocellularCell Line, TumorCell ProliferationFluorescent Antibody TechniqueHumansImmunohistochemistryLiver NeoplasmsMyosin Light ChainsProteolysisProto-Oncogene Proteins c-mdm2Tumor Suppressor Protein p53UbiquitinationMDM2 protein, humanMyosin Light ChainsProto-Oncogene Proteins c-mdm2Tumor Suppressor Protein p53

Identifiers

PMID29439719
PMCPMC5812214
OpenAlexW2799508018

What OpenQuestion holds

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LicenceCC BY
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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.