Evidence map›Paper›PMID 27273132›Full record

ArticleEuropean journal of human genetics : EJHG2016

Digital PCR for discriminating mosaic deletions and for determining proportion of tumor cells in specimen.

Lan Kluwe

Open access · bronzeAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

1 author at 1 institution in 1 country.

Lan KluweDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Universität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mosaicism, presence of a genetic feature in only a subpopulation of cells, is frequent in de novo genetic diseases. Among large deletions covering the NF1 tumor suppressor gene, the frequency of mosaicism can be as high as 40% in de novo patients. In this study, we demonstrate the high potential of digital PCR in detecting large NF1 deletions and in discriminating mosaic cases. By simultaneously assessing the NF1 gene and a reference gene RPP30, deletions could be unambiguously distinguished from non-deletion samples. Performing the same assay for mixed samples from a DNA with a deletion and a non-deletion DNA, a highly significant linear relation was obtained between the set-up ratio of the two samples and the measured ratio of NF1/RPP30 (P<0.0001), suggesting the high potential of digital PCR in discriminating mosaic deletions. Furthermore, digital PCR detects NF1 allele loss in a tumor specimen that was not detected by loss of heterozygosity analysis using polymorphic markers due to high content of non-tumor cells. Based on the measured ratio of NF1/RPP30, the proportion of the tumor cells in this specimen could be calculated as 25%. Our results demonstrate that dual-probe digital PCR is a simple and effective method for detecting deletions and for discriminating mosaic deletions. Furthermore, this method is sensitive for assigning somatic allele loss in tumor specimen and enables determining proportion of tumor cells.

Indexed as

Gene DeletionMosaicismCell SeparationDNA, NeoplasmHumansNeurofibromatosis 1Neurofibromin 1Real-Time Polymerase Chain ReactionSensitivity and SpecificityDNA, NeoplasmNeurofibromin 1

Identifiers

PMID27273132
PMCPMC5110055
OpenAlexW2418664087

What OpenQuestion holds

Textmetadata
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.