Evidence map›Paper›PMID 30006524›Full record

ArticleNature communications2018

UTX is an escape from X-inactivation tumor-suppressor in B cell lymphoma.

Xiaoxi Li, Yanli Zhang, Liting Zheng, Mingxian Liu, Charlie Degui Chen, Hai Jiang

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

47 citing papers in PubMed, 61 citations in OpenAlex.

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  14. [Curcumol reverses temozolomide resistance in glioma cells by regulating the UTX/MGMT axis].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023
    Article
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  20. JMJD family proteins in cancer and inflammation.Signal transduction and targeted therapy · 2022
    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

6 authors at 2 institutions in 1 country.

Xiaoxi LiState Key Laboratory of Cell Biology, Key Laboratory of Systems Biology, Innovation Center for Cell Signaling Network, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 Yueyang Road, 200031, Shanghai, China.ORCID http://orcid.org/0000-0001-5399-5628
Yanli ZhangState Key Laboratory of Cell Biology, Key Laboratory of Systems Biology, Innovation Center for Cell Signaling Network, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 Yueyang Road, 200031, Shanghai, China.
Liting ZhengState Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, Innovation Center for Cell Signaling Network, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 Yueyang Road, 200031, Shanghai, China.
Mingxian LiuState Key Laboratory of Cell Biology, Key Laboratory of Systems Biology, Innovation Center for Cell Signaling Network, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 Yueyang Road, 200031, Shanghai, China.
Charlie Degui ChenState Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, Innovation Center for Cell Signaling Network, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 Yueyang Road, 200031, Shanghai, China.
Hai JiangState Key Laboratory of Cell Biology, Key Laboratory of Systems Biology, Innovation Center for Cell Signaling Network, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 Yueyang Road, 200031, Shanghai, China. hai@sibcb.ac.cn.ORCID http://orcid.org/0000-0002-2508-5413
Center for Excellence in Molecular Cell Science · CNJiangsu University · CN

Funding

Chinese Academy of Sciences (CAS) XDB19000000
6 · The paper itself

Abstract

To explain the excess cancer rate in males, several candidates for "escape from X-inactivation tumor-suppressor" (EXITS) were recently identified. In this report we provide direct experimental evidence supporting UTX's role as an EXITS gene. Using a mouse lymphoma model, we show clear dosage effect of UTX copy number during tumorigenesis, which strongly supports the EXITS theory. Importantly, UTX deletion not only accelerates lymphomagenesis, it also strongly promotes tumor progression. UTX-knockout tumors are more aggressive, showing enhanced brain dissemination and formation of blood vessels. Efnb1 is overexpressed in UTX KO tumors and can lead to such phenotypes. In human patients, lymphomas with low UTX expression also express high levels of Efnb1, and cause significantly poor survival. Lastly, we show that UTX deficiency renders lymphoma sensitive to cytarabine treatment. Taken together, these data highlight UTX loss's profound impacts on tumor initiation and drug response.

Indexed as

Gene Expression Regulation, NeoplasticAnimalsAntimetabolites, AntineoplasticB-LymphocytesBrain NeoplasmsCarcinogenesisCytarabineDrug Resistance, NeoplasmEphrin-B1FemaleGene DosageHistone DemethylasesHumansLymphoma, B-CellMaleMiceAntimetabolites, AntineoplasticCytarabineEfnb1 protein, mouseEphrin-B1Histone DemethylasesUtx protein, mouse

Identifiers

PMID30006524
PMCPMC6045675
OpenAlexW2816491374

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.