Evidence map›Paper›PMID 25411647›Full record

ArticleJournal of molecular biomarkers & diagnosis2014

Single-Tube Mutation Scanning of The Epidermal Growth Factor Receptor Gene Using Multiplex LATE-PCR and Lights-On/Lights-Off Probes.

Shana M Tetrault, John E Rice, Lawrence J Wangh, J Aquiles Sanchez

Abstract read
In one paragraph

Article in Journal of molecular biomarkers & diagnosis, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Recent Advances in Closed-Tube Barcoding for FastFish-ID.Methods in molecular biology (Clifton, N.J.) · 2024
    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

4 authors at 1 institution in 1 country.

Shana M TetraultDepartment of Biology, Brandeis University, 415 South St., Waltham, MA, USA.
John E RiceDepartment of Biology, Brandeis University, 415 South St., Waltham, MA, USA.
Lawrence J WanghDepartment of Biology, Brandeis University, 415 South St., Waltham, MA, USA.
J Aquiles SanchezDepartment of Biology, Brandeis University, 415 South St., Waltham, MA, USA.
Brandeis University · US

Funding

GENETIC AND BIOCHEMICAL MECHANISMS OF REGULATIONT32GM007122 · NIGMS · BRANDEIS UNIVERSITY · PI LOVETT, SUSAN THOMAS · 1985 to 2020
$7.5M
NIGMS NIH HHS T32 GM007122
6 · The paper itself

Abstract

backgroundNumerous mutations in exons 18-21 of the epidermal growth factor receptor (

methodsThe assay first co-amplifies all four exons as separate single-stranded DNA products using Linear-After-The-Exponential (LATE)-PCR. The amplicons are then interrogated at endpoint along their length using sets of Lights-On/Lights-Off probes of a different color for each exon. The four resulting fluorescent signatures are unique for each underlying DNA sequence. Every mutation in a target potentially alters its unique fluorescent signature thereby revealing the presence of the mutation.

resultsThe assay readily detects mutations which cause sensitivity or resistance to TKIs and can distinguish these clinically important genetic changes from silent mutations which have no impact on protein function. The assay identifies as little as 5% mutant sequences in mixtures of normal DNA and mutant DNA prepared from cancer cell lines. Proof-of-principle experiments demonstrate mutation identification in formalin-fixed, paraffin-embedded NSCLC biopsies.

conclusionThe LATE-PCR

Indexed as

EGFR gene mutation scanningLATE-PCRLights-On/Light-Off probesmolecular diagnosticspersonalized cancer medicinesingle-tube assay

Identifiers

PMID25411647
PMCPMC4234171
OpenAlexW2170949360

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.