Evidence map›Paper›PMID 22022943›Full record

ArticleExpert review of molecular diagnostics2011

The MethDet: a technology for biomarker development.

Victor V Levenson, Anatoliy A Melnikov

Abstract read
In one paragraph

Article in Expert review of molecular diagnostics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
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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

2 authors.

Victor V LevensonDepartment of Radiation Oncology, Rush University Medical Center, Chicago, IL 60612, USA. victor_levenson@rush.edu
Anatoliy A Melnikov

Funding

A tool for analysis of gene-specific DNA methylation in clinical samplesR21RR024420 · NCRR · RUSH UNIVERSITY MEDICAL CENTER · PI LEVENSON, VICTOR V · 2009 to 2010
$484k
DNA-Based Biomarkers for Multiple SclerosisR21NS060311 · NINDS · RUSH UNIVERSITY MEDICAL CENTER · PI LEVENSON, VICTOR V · 2007 to 2009
$469k
NCRR NIH HHS R21 RR024420NCRR NIH HHS RR024420NINDS NIH HHS R21 NS060311
6 · The paper itself

Abstract

Early detection and diagnosis of a disease in its presymptomatic form has to rely on biomarkers, and multiple laboratories are involved in their development and validation. In this article, we describe our work on a platform technology for a genome-wide analysis of DNA methylation while still using a small amount of sample - a biopsy, a section from a formalin-fixed paraffin-embedded tissue or a small volume (0.4 ml) of plasma from blood. This technology (methylation detection or MethDet) allows genome-wide association studies similar to the analysis of single-nucleotide polymorphisms. Instead of mostly static genetic differences, the MethDet technology tests disease-dependent changes of epigenetic makeup, which is closely related to the gene expression pattern of a disease. The MethDet assay has the capacity to utilize highly fragmented DNA (e.g., cell-free circulating DNA from plasma) to identify disease-specific changes, effects of treatment or changes in the disease activity.

Indexed as

BiomarkersDNADNA MethylationEarly DiagnosisEpigenesis, GeneticGenome, HumanGenome-Wide Association StudyHumansMultiple SclerosisPancreatic NeoplasmsParaffin EmbeddingPolymerase Chain ReactionPolymorphism, Single NucleotideBiomarkersDNA

Identifiers

PMID22022943
PMCPMC3232466

What OpenQuestion holds

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LicenceTDM
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.