Evidence map›Paper›PMID 29352142›Full record

ArticleCell death & disease2018

FBXL10 contributes to the development of diffuse large B-cell lymphoma by epigenetically enhancing ERK1/2 signaling pathway.

Xiujuan Zhao, Xing Wang, Qian Li, Wanbiao Chen, Na Zhang, Yu Kong, Junqiang Lv, Lei Cao, Dan Lin, Xi Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. KDM2B Overexpression Facilitates LyticJournal of virology · 2021
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
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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

12 authors at 2 institutions in 1 country.

Xiujuan ZhaoDepartment of Cell Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Tianjin Medical University, Tianjin, 300070, China.
Xing WangDepartment of Cell Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Tianjin Medical University, Tianjin, 300070, China.
Qian LiDepartment of Cell Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Tianjin Medical University, Tianjin, 300070, China.
Wanbiao ChenDepartment of Bioinformatics, Tianjin Medical University, Tianjin, 300070, China.
Na ZhangDepartment of Bioinformatics, Tianjin Medical University, Tianjin, 300070, China.
Yu KongDepartment of Cell Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Tianjin Medical University, Tianjin, 300070, China.
Junqiang LvDepartment of Immunology, Tianjin Medical University, Tianjin, 300070, China.
Lei CaoDepartment of Cell Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Tianjin Medical University, Tianjin, 300070, China.
Dan LinDepartment of Bioinformatics, Tianjin Medical University, Tianjin, 300070, China.
Xi WangDepartment of Cell Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Tianjin Medical University, Tianjin, 300070, China.
Guogang XuNanlou Respiratory Department, PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China. xuguogang@gmail.com.
Xudong WuDepartment of Cell Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Tianjin Medical University, Tianjin, 300070, China. wuxudong@tmu.edu.cn.
Tianjin Medical University · CNChinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epigenetic modifiers have emerged as critical factors governing the biology of different cancers. Herein we show that FBXL10 (also called KDM2B or JHDM1B), an important member of Polycomb repressive complexes, is overexpressed in human diffuse large B-cell lymphoma (DLBCL) tissues and the derived cell lines. Knocking down FBXL10 by specific short hairpin RNAs in DLBCL cells inhibits cell proliferation and induces apoptosis in vitro. Moreover, FBXL10 depletion in DLBCL cells abrogates tumor growth in mouse xenograft models. Through the analysis of RNA sequencing, we find that one of the key derepressed genes by depletion of FBXL10 is DUSP6, encoding a phosphatase for ERK1/2. Mechanistically FBXL10 maintains the silencing of DUSP6 expression via recruitment of Polycomb group proteins and deposition of repressive histone modifications at the DUSP6 promoter. Consistently, FBXL10 is required for ERK1/2 phosphorylation in DLBCL cells. Furthermore, we show that ERK1/2 activation and the proliferation rate of FBXL10-depleted cells can be rescued by downregulation of DUSP6 expression. These findings indicate that FBXL10 may be a promising therapeutic target in DLBCL and establish a link of epigenetic regulators to kinase signaling pathways.

Indexed as

AnimalsCell Line, TumorCell MovementCell ProliferationCell SurvivalDual Specificity Phosphatase 6Epigenesis, GeneticF-Box ProteinsHeterograftsHistonesHumansJumonji Domain-Containing Histone DemethylasesLymphoma, Large B-Cell, DiffuseMaleMAP Kinase Signaling SystemMiceDual Specificity Phosphatase 6DUSP6 protein, humanF-Box ProteinsHistonesJumonji Domain-Containing Histone DemethylasesKDM2A protein, human

Identifiers

PMID29352142
PMCPMC5833345
OpenAlexW2790223283

What OpenQuestion holds

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LicenceCC BY
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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.