Evidence map›Paper›PMID 19557126›Full record

ArticlePloS one2009

Quantification of normal cell fraction and copy number neutral LOH in clinical lung cancer samples using SNP array data.

Hanna Göransson, Karolina Edlund, Maria Rydåker, Markus Rasmussen, Johan Winquist, Simon Ekman, Michael Bergqvist, Andrew Thomas, Mats Lambe, Richard Rosenquist and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 27 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

14 authors at 4 institutions in 2 countries.

Hanna GöranssonDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Karolina Edlund
Maria Rydåker
Markus Rasmussen
Johan Winquist
Simon Ekman
Michael Bergqvist
Andrew Thomas
Mats Lambe
Richard Rosenquist
Lars Holmberg
Patrick Micke
Johan Botling
Anders Isaksson
Uppsala University · SEUppsala University Hospital · SEAstraZeneca (United Kingdom) · GBKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTechnologies based on DNA microarrays have the potential to provide detailed information on genomic aberrations in tumor cells. In practice a major obstacle for quantitative detection of aberrations is the heterogeneity of clinical tumor tissue. Since tumor tissue invariably contains genetically normal stromal cells, this may lead to a failure to detect aberrations in the tumor cells. PRINCIPAL FINDING: Using SNP array data from 44 non-small cell lung cancer samples we have developed a bioinformatic algorithm that accurately models the fractions of normal and tumor cells in clinical tumor samples. The proportion of normal cells in combination with SNP array data can be used to detect and quantify copy number neutral loss-of-heterozygosity (CNNLOH) in the tumor cells both in crude tumor tissue and in samples enriched for tumor cells by laser capture microdissection.

conclusionGenome-wide quantitative analysis of CNNLOH using the CNNLOH Quantifier method can help to identify recurrent aberrations contributing to tumor development in clinical tumor samples. In addition, SNP-array based analysis of CNNLOH may become important for detection of aberrations that can be used for diagnostic and prognostic purposes.

Indexed as

Gene Expression Regulation, NeoplasticLoss of HeterozygosityPolymorphism, Single NucleotideAllelesCarcinoma, Non-Small-Cell LungCell Line, TumorGene Expression ProfilingGenotypeHeterozygoteHumansIn Situ Hybridization, FluorescenceLasersLung NeoplasmsMicrodissectionOligonucleotide Array Sequence Analysis

Identifiers

PMID19557126
PMCPMC2699026
OpenAlexW1986552037

What OpenQuestion holds

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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.