Evidence map›Paper›PMID 22002021›Full record

ArticleElectrophoresis2011

Blinded study determination of high sensitivity and specificity microchip electrophoresis-SSCP/HA to detect mutations in the p53 gene.

Christa N Hestekin, Jennifer S Lin, Lionel Senderowicz, John P Jakupciak, Catherine O'Connell, Alfred Rademaker, Annelise E Barron

Open access · greenAbstract read
In one paragraph

Article in Electrophoresis, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

7 authors at 2 institutions in 1 country.

Christa N HestekinNorthwestern University, Department of Chemical Engineering, Evanston, IL, USA.
Jennifer S Lin
Lionel Senderowicz
John P Jakupciak
Catherine O'Connell
Alfred Rademaker
Annelise E Barron
Northwestern University · USNational Institute of Standards and Technology · US

Funding

Fast Mutation Detection by Tandem SSCP/HA on MicrochipsR33CA092752 · NCI · STANFORD UNIVERSITY · PI BARRON, ANNELISE EMILY · 2006 to 2008
$720k
Fast Mutation Detection by Tandem SSCP/HA on MicrochipsR21CA092752 · NCI · NORTHWESTERN UNIVERSITY · PI BARRON, ANNELISE EMILY · 2003 to 2003
$149k
NCI NIH HHS 1R21CA92752-01NCI NIH HHS R21 CA092752NCI NIH HHS R33 CA092752
6 · The paper itself

Abstract

Knowledge of the genetic changes that lead to disease has grown and continues to grow at a rapid pace. However, there is a need for clinical devices that can be used routinely to translate this knowledge into the treatment of patients. Use in a clinical setting requires high sensitivity and specificity (>97%) in order to prevent misdiagnoses. Single-strand conformational polymorphism (SSCP) and heteroduplex analysis (HA) are two DNA-based, complementary methods for mutation detection that are inexpensive and relatively easy to implement. However, both methods are most commonly detected by slab gel electrophoresis, which can be labor-intensive, time-consuming, and often the methods are unable to produce high sensitivity and specificity without the use of multiple analysis conditions. Here, we demonstrate the first blinded study using microchip electrophoresis (ME)-SSCP/HA. We demonstrate the ability of ME-SSCP/HA to detect with 98% sensitivity and specificity >100 samples from the p53 gene exons 5-9 in a blinded study in an analysis time of <10 min.

Indexed as

Genes, p53MutationPolymorphism, Single-Stranded ConformationalDNADNA Mutational AnalysisElectrophoresis, MicrochipHeteroduplex AnalysisHumansNeoplasmsResearch DesignSensitivity and SpecificityDNA

Identifiers

PMID22002021
PMCPMC3416029
OpenAlexW2055488960

What OpenQuestion holds

Textmetadata
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.