Evidence map›Paper›PMID 27825131›Full record

ArticleOncotarget2016

OutLyzer: software for extracting low-allele-frequency tumor mutations from sequencing background noise in clinical practice.

Etienne Muller, Nicolas Goardon, Baptiste Brault, Antoine Rousselin, Germain Paimparay, Angelina Legros, Robin Fouillet, Olivia Bruet, Aurore Tranchant, Florian Domin and 7 more

Abstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. bronko: ultrafast, alignment-free detection of viral genome variation.bioRxiv : the preprint server for biology · 2026
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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

17 authors.

Etienne MullerDepartment of Cancer Biology and Genetics, CCC François Baclesse, Genomic and Personalized Medicine in Cancer and Neurological Disorders Unit, Caen, France.
Nicolas GoardonDepartment of Cancer Biology and Genetics, CCC François Baclesse, Genomic and Personalized Medicine in Cancer and Neurological Disorders Unit, Caen, France.
Baptiste BraultDepartment of Cancer Biology and Genetics, CCC François Baclesse, Genomic and Personalized Medicine in Cancer and Neurological Disorders Unit, Caen, France.
Antoine RousselinDepartment of Cancer Biology and Genetics, CCC François Baclesse, Genomic and Personalized Medicine in Cancer and Neurological Disorders Unit, Caen, France.
Germain PaimparayDepartment of Cancer Biology and Genetics, CCC François Baclesse, Genomic and Personalized Medicine in Cancer and Neurological Disorders Unit, Caen, France.
Angelina LegrosDepartment of Cancer Biology and Genetics, CCC François Baclesse, Genomic and Personalized Medicine in Cancer and Neurological Disorders Unit, Caen, France.
Robin FouilletDepartment of Cancer Biology and Genetics, CCC François Baclesse, Genomic and Personalized Medicine in Cancer and Neurological Disorders Unit, Caen, France.
Olivia BruetDepartment of Cancer Biology and Genetics, CCC François Baclesse, Genomic and Personalized Medicine in Cancer and Neurological Disorders Unit, Caen, France.
Aurore TranchantDepartment of Cancer Biology and Genetics, CCC François Baclesse, Genomic and Personalized Medicine in Cancer and Neurological Disorders Unit, Caen, France.
Florian DominDepartment of Cancer Biology and Genetics, CCC François Baclesse, Genomic and Personalized Medicine in Cancer and Neurological Disorders Unit, Caen, France.
Chankannira SanDepartment of Cancer Biology and Genetics, CCC François Baclesse, Genomic and Personalized Medicine in Cancer and Neurological Disorders Unit, Caen, France.
Céline QuesnelleDepartment of Cancer Biology and Genetics, CCC François Baclesse, Genomic and Personalized Medicine in Cancer and Neurological Disorders Unit, Caen, France.
Thierry FrebourgInserm U1079, Genomic and Personalized Medicine in Cancer and Neurological Disorders Unit, Rouen, France.
Agathe RicouDepartment of Cancer Biology and Genetics, CCC François Baclesse, Genomic and Personalized Medicine in Cancer and Neurological Disorders Unit, Caen, France.
Sophie KriegerDepartment of Cancer Biology and Genetics, CCC François Baclesse, Genomic and Personalized Medicine in Cancer and Neurological Disorders Unit, Caen, France.
Dominique VaurDepartment of Cancer Biology and Genetics, CCC François Baclesse, Genomic and Personalized Medicine in Cancer and Neurological Disorders Unit, Caen, France.
Laurent CasteraDepartment of Cancer Biology and Genetics, CCC François Baclesse, Genomic and Personalized Medicine in Cancer and Neurological Disorders Unit, Caen, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Highlighting tumoral mutations is a key step in oncology for personalizing care. Considering the genetic heterogeneity in a tumor, software used for detecting mutations should clearly distinguish real tumor events of interest that could be predictive markers for personalized medicine from false positives. OutLyzer is a new variant-caller designed for the specific and sensitive detection of mutations for research and diagnostic purposes. It is based on statistic and local evaluation of sequencing background noise to highlight potential true positive variants. 130 previously genotyped patients were sequenced after enrichment by capturing the exons of 22 genes. Sequencing data were analyzed by HaplotypeCaller, LofreqStar, Varscan2 and OutLyzer. OutLyzer had the best sensitivity and specificity with a fixed limit of detection for all tools of 1% for SNVs and 2% for Indels. OutLyzer is a useful tool for detecting mutations of interest in tumors including low allele-frequency mutations, and could be adopted in standard practice for delivering targeted therapies in cancer treatment.

Indexed as

MutationComputational BiologyExonsGene FrequencyGenotypeHigh-Throughput Nucleotide SequencingHumansNeoplasmsPrecision MedicineSequence Analysis, DNASoftwarebioinformaticsoncologyprecision medicinesomatic mutationvariant-caller

Identifiers

PMID27825131
PMCPMC5346729

What OpenQuestion holds

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Registered trials

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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.