Evidence map›Paper›PMID 26608986›Full record

ArticleChinese medical journal2015

Association between Long Interspersed Nuclear Element-1 Methylation and Relative Telomere Length in Wilms Tumor.

Hui-Bo Chang, Ji-Zhen Zou, Cai He, Rui Zeng, Yuan-Yuan Li, Fei-Fei Ma, Zhuo Liu, Hui Ye, Jian-Xin Wu

Open access · goldAbstract read
In one paragraph

Article in Chinese medical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. [Effect of LINE1-ORF1p overexpression on the proliferation of nephroblastoma WT_CLS1 cells].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2018
    Article
  4. Article
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  6. Article
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

9 authors at 1 institution in 1 country.

Hui-Bo Chang
Ji-Zhen Zou
Cai He
Rui Zeng
Yuan-Yuan Li
Fei-Fei Ma
Zhuo Liu
Hui Ye
Jian-Xin WuDepartment of Biochemistry, Capital Institute of Pediatrics, Beijing 100020, China.
Capital Institute of Pediatrics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA hypomethylation of long interspersed nuclear elements-1 (LINEs-1) occurs during carcinogenesis, whereas information addressing LINE-1 methylation in Wilms tumor (WT) is limited. The main purpose of our study was to quantify LINE-1 methylation levels and evaluate their relationship with relative telomere length (TL) in WT.

methodsWe investigated LINE-1 methylation and relative TL using bisulfite-polymerase chain reaction (PCR) pyrosequencing and quantitative PCR, respectively, in 20 WT tissues, 10 normal kidney tissues and a WT cell line. Significant changes were analyzed by t-tests.

resultsLINE-1 methylation levels were significantly lower (P < 0.05) and relative TLs were significantly shorter (P < 0.05) in WT compared with normal kidney. There was a significant positive relationship between LINE-1 methylation and relative TL in WT (r = 0.671, P = 0.001). LINE-1 Methylation levels were significantly associated with global DNA methylation (r = 0.332, P < 0.01). In addition, relative TL was shortened and LINE-1 methylation was decreased in a WT cell line treated with the hypomethylating agent 5-aza-2'-deoxycytidine compared with untreated WT cell line.

conclusionThese results suggest that LINE-1 hypomethylation is common and may be linked to telomere shortening in WT.

Indexed as

Cell Line, TumorChildChild, PreschoolDNA MethylationFemaleHumansLong Interspersed Nucleotide ElementsMalePolymerase Chain ReactionTelomereWilms Tumor

Identifiers

PMID26608986
PMCPMC4795265
OpenAlexW2166767983

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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.