Evidence map›Paper›PMID 33219204›Full record

ArticleCell death & disease2020

Genome-wide methylation sequencing identifies progression-related epigenetic drivers in myelodysplastic syndromes.

Jing-Dong Zhou, Ting-Juan Zhang, Zi-Jun Xu, Zhao-Qun Deng, Yu Gu, Ji-Chun Ma, Xiang-Mei Wen, Jia-Yan Leng, Jiang Lin, Su-Ning Chen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2020. 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
6.9field-weighted citation impact, top 2% 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, 38 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

11 authors at 4 institutions in 1 country.

Jing-Dong ZhouDepartment of Hematology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, People's Republic of China.
Ting-Juan ZhangDepartment of Hematology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, People's Republic of China.
Zi-Jun XuZhenjiang Clinical Research Center of Hematology, Zhenjiang, Jiangsu, People's Republic of China.
Zhao-Qun DengZhenjiang Clinical Research Center of Hematology, Zhenjiang, Jiangsu, People's Republic of China.
Yu GuDepartment of Hematology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, People's Republic of China.
Ji-Chun MaZhenjiang Clinical Research Center of Hematology, Zhenjiang, Jiangsu, People's Republic of China.
Xiang-Mei WenZhenjiang Clinical Research Center of Hematology, Zhenjiang, Jiangsu, People's Republic of China.
Jia-Yan LengDepartment of Hematology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, People's Republic of China.
Jiang LinZhenjiang Clinical Research Center of Hematology, Zhenjiang, Jiangsu, People's Republic of China. 2651329493@qq.com.
Su-Ning ChenJiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, NHC Key Laboratory of Thrombosis and Hemostasis, The First Affiliated Hospital of Soochow University, Suzhou, People's Republic of China. chensuning@suda.edu.cn.
Jun QianDepartment of Hematology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, People's Republic of China. qianjun0007@hotmail.com.
Jiangsu University · CNShanghai Clinical Research Center · CNAffiliated Hospital of Jiangsu University · CNFirst Affiliated Hospital of Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The potential mechanism of myelodysplastic syndromes (MDS) progressing to acute myeloid leukemia (AML) remains poorly elucidated. It has been proved that epigenetic alterations play crucial roles in the pathogenesis of cancer progression including MDS. However, fewer studies explored the whole-genome methylation alterations during MDS progression. Reduced representation bisulfite sequencing was conducted in four paired MDS/secondary AML (MDS/sAML) patients and intended to explore the underlying methylation-associated epigenetic drivers in MDS progression. In four paired MDS/sAML patients, cases at sAML stage exhibited significantly increased methylation level as compared with the matched MDS stage. A total of 1090 differentially methylated fragments (DMFs) (441 hypermethylated and 649 hypomethylated) were identified involving in MDS pathogenesis, whereas 103 DMFs (96 hypermethylated and 7 hypomethylated) were involved in MDS progression. Targeted bisulfite sequencing further identified that aberrant GFRA1, IRX1, NPY, and ZNF300 methylation were frequent events in an additional group of de novo MDS and AML patients, of which only ZNF300 methylation was associated with ZNF300 expression. Subsequently, ZNF300 hypermethylation in larger cohorts of de novo MDS and AML patients was confirmed by real-time quantitative methylation-specific PCR. It was illustrated that ZNF300 methylation could act as a potential biomarker for the diagnosis and prognosis in MDS and AML patients. Functional experiments demonstrated the anti-proliferative and pro-apoptotic role of ZNF300 overexpression in MDS-derived AML cell-line SKM-1. Collectively, genome-wide DNA hypermethylation were frequent events during MDS progression. Among these changes, ZNF300 methylation, a regulator of ZNF300 expression, acted as an epigenetic driver in MDS progression. These findings provided a theoretical basis for the usage of demethylation drugs in MDS patients against disease progression.

Indexed as

AdultAgedDisease ProgressionDNA MethylationEpigenesis, GeneticHumansMiddle AgedMyelodysplastic SyndromesPrognosis

Identifiers

PMID33219204
PMCPMC7679421
OpenAlexW3100668870

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.