ArticleClinical epigenetics2017
Association between long interspersed nuclear element-1 methylation levels and relapse in Wilms tumors.
Article in Clinical epigenetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed, 18 citations in OpenAlex.
- Non-coding RNAs in Wilms' tumor: biological function, mechanism, and clinical implications.Journal of molecular medicine (Berlin, Germany) · 2021Review
- Identification of the potential novel biomarkers as susceptibility gene for Wilms tumor.BMC cancer · 2021Article
- Article
- Impact of LINE-1 hypomethylation on the clinicopathological and molecular features of colorectal cancer patients.PloS one · 2018Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWilms tumor (WT) is a curable pediatric renal malignancy, but there is a need for new molecular biomarkers to improve relapse risk-directed therapy. Somatic alterations occur at relatively low frequencies whereas epigenetic changes at 11p15 are the most common aberration. We analyzed long interspersed element-1 (LINE-1) methylation levels in the blastemal component of WT and normal kidney samples to explore their prognostic significance.
resultsWT samples presented a hypomethylated pattern at all five CpG sites compared to matched normal kidney samples; therefore, the averaged methylation levels of the five CpG sites were used for further analyses. WT presented a hypomethylation profile (median 65.0%, 47.4-73.2%) compared to normal kidney samples (median 71.8%, 51.5-77.5%;
conclusionOur results reinforce previous data showing a global hypomethylation profile in WT. LINE-1 methylation levels can be suggested as a marker of relapse after chemotherapy treatment in addition to risk classification, helping to guide new treatment approaches.
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