Evidence map›Paper›PMID 29621323›Full record

ArticlePloS one2018

Performance comparison of three DNA extraction kits on human whole-exome data from formalin-fixed paraffin-embedded normal and tumor samples.

Eric Bonnet, Marie-Laure Moutet, Céline Baulard, Delphine Bacq-Daian, Florian Sandron, Lilia Mesrob, Bertrand Fin, Marc Delépine, Marie-Ange Palomares, Claire Jubin and 5 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

33 citing papers in PubMed, 55 citations in OpenAlex.

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  9. Optimizing genomic DNA extraction from long-term preserved formalin-fixed and paraffin-embedded lung cancer and lymph node tissues.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2024
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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

15 authors at 2 institutions in 2 countries.

Eric BonnetCentre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, Direction de la Recherche Fondamentale, CEA, Evry, France.ORCID 0000-0002-8468-2867
Marie-Laure MoutetCentre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, Direction de la Recherche Fondamentale, CEA, Evry, France.
Céline BaulardCentre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, Direction de la Recherche Fondamentale, CEA, Evry, France.
Delphine Bacq-DaianCentre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, Direction de la Recherche Fondamentale, CEA, Evry, France.
Florian SandronCentre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, Direction de la Recherche Fondamentale, CEA, Evry, France.
Lilia MesrobCentre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, Direction de la Recherche Fondamentale, CEA, Evry, France.
Bertrand FinCentre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, Direction de la Recherche Fondamentale, CEA, Evry, France.
Marc DelépineCentre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, Direction de la Recherche Fondamentale, CEA, Evry, France.
Marie-Ange PalomaresCentre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, Direction de la Recherche Fondamentale, CEA, Evry, France.
Claire JubinCentre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, Direction de la Recherche Fondamentale, CEA, Evry, France.
Hélène BlanchéCentre d'Etude du Polymorphisme Humain, Fondation Jean Dausset, Paris, France.
Vincent MeyerCentre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, Direction de la Recherche Fondamentale, CEA, Evry, France.
Anne BolandCentre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, Direction de la Recherche Fondamentale, CEA, Evry, France.
Robert OlasoCentre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, Direction de la Recherche Fondamentale, CEA, Evry, France.
Jean-François DeleuzeCentre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, Direction de la Recherche Fondamentale, CEA, Evry, France.
Commissariat à l'Énergie Atomique et aux Énergies Alternatives · FRFondation Jean Dausset-CEPH · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing (NGS) studies are becoming routinely used for the detection of novel and clinically actionable DNA variants at a pangenomic scale. Such analyses are now used in the clinical practice to enable precision medicine. Formalin-fixed paraffin-embedded (FFPE) tissues are still one of the most abundant source of cancer clinical specimen, unfortunately this method of preparation is known to degrade DNA and therefore compromise subsequent analysis. Some studies have reported that variant detection can be performed on FFPE samples sequenced with NGS techniques, but few or none have done an in-depth coverage analysis and compared the influence of different state-of-the-art FFPE DNA extraction kits on the quality of the variant calling. Here, we generated 42 human whole-exome sequencing data sets from fresh-frozen (FF) and FFPE samples. These samples include normal and tumor tissues from two different organs (liver and colon), that we extracted with three different FFPE extraction kits (QIAamp DNA FFPE Tissue kit and GeneRead DNA FFPE kit from Qiagen, Maxwell™ RSC DNA FFPE Kit from Promega). We determined the rate of concordance of called variants between matched FF and FFPE samples on all common variants (representing at least 86% of the total number of variants for SNVs). The concordance rate is very high between all matched FF / FFPE pairs, with equivalent values for the three kits we analyzed. On the other hand, when looking at the difference between the total number of variants in FF and FFPE, we find a significant variation for the three different FFPE DNA extraction kits. Coverage analysis shows that FFPE samples have less good indicators than FF samples, yet the coverage quality remains above accepted thresholds. We detect limited but statistically significant variations in coverage indicator values between the three FFPE extraction kits. Globally, the GeneRead and QIAamp kits have better variant calling and coverage indicators than the Maxwell kit on the samples used in this study, although this kit performs better on some indicators and has advantages in terms of practical usage. Taken together, our results confirm the potential of FFPE samples analysis for clinical genomic studies, but also indicate that the choice of a FFPE DNA extraction kit should be done with careful testing and analysis beforehand in order to maximize the accuracy of the results.

Indexed as

Exome SequencingTissue FixationColonColonic NeoplasmsComputational BiologyCryopreservationDNADNA, NeoplasmFixativesFormaldehydeHumansINDEL MutationLiverLiver NeoplasmsParaffin EmbeddingPolymorphism, Single NucleotideDNADNA, NeoplasmFixativesFormaldehyde

Identifiers

PMID29621323
PMCPMC5886566
OpenAlexW2796445892

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.