Evidence map›Paper›PMID 30955237›Full record

ArticleMolecular genetics & genomic medicine2019

Detailed methylation map of LINE-1 5'-promoter region reveals hypomethylated CpG hotspots associated with tumor tissue specificity.

Amit Sharma, Muhammad A Jamil, Nicole Nuesgen, Albertas Dauksa, Antanas Gulbinas, Wolfgang A Schulz, Johannes Oldenburg, Osman El-Maarri

Open access · goldAbstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 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

8 authors at 4 institutions in 3 countries.

Amit SharmaInstitute of Experimental Hematology and Transfusion Medicine, Bonn, Germany.ORCID 0000-0002-2216-5389
Muhammad A JamilInstitute of Experimental Hematology and Transfusion Medicine, Bonn, Germany.
Nicole NuesgenInstitute of Experimental Hematology and Transfusion Medicine, Bonn, Germany.
Albertas DauksaInstitute for Digestive Research, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Antanas GulbinasInstitute for Digestive Research, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Wolfgang A SchulzDepartment of Urology, Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany.
Johannes OldenburgInstitute of Experimental Hematology and Transfusion Medicine, Bonn, Germany.
Osman El-MaarriInstitute of Experimental Hematology and Transfusion Medicine, Bonn, Germany.
Lithuanian University of Health Sciences · LTHeinrich Heine University Düsseldorf · DELebanese American University · LBUniversity Hospital Bonn · DE

Funding

Institute of Experimental Hematology and Transfusion Medicine, University of Bonn
6 · The paper itself

Abstract

backgroundLong interspersed nuclear elements (LINE-1) sequences constitute a substantial portion of the human genome, and their methylation often correlating with global genomic methylation. Previous studies have highlighted the feasibility of using LINE-1 methylation to discriminate tumors from healthy tissues. However, most studies are based on only a few specific LINE-1 CpG sites.

methodsHerein, we have performed a systematic fine-scale analysis of methylation at 14 CpGs located in the 5'-region of consensus LINE-1, in bladder, colon, prostate, and gastric tumor tissues using a global degenerate approach.

resultsOur results reveal variable methylation levels between different CpGs, as well as some tissue-specific differences. Trends toward hypomethylation were observed in all tumors types to certain degrees, showing statistically significance in bladder and prostate tumors. Our data points toward the presence of unique LINE-1 DNA methylation patterns for each tumor type and tissue, indicating that not the same CpGs will be informative for testing in all tumor types.

conclusionThis study provides an accurate guide that will help to design further assays that could avoid artifacts and explain the variability of obtained LINE-1 methylation values between different studies.

Indexed as

DNA MethylationPromoter Regions, GeneticCpG IslandsFemaleHumansLong Interspersed Nucleotide ElementsMaleNeoplasmsOrgan Specificitybiomarkerbisulfite modificationcancerDNA methylationepigeneticsLINE-1methylation patternsSIRPHtumor marker

Identifiers

PMID30955237
PMCPMC6503062
OpenAlexW2928289176

What OpenQuestion holds

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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.