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Development of a semi-conductor sequencing-based panel for genotyping of colon and lung cancer by the Onconetwork consortium

Overview of attention for article published in BMC Cancer, January 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
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9 X users

Readers on

mendeley
81 Mendeley
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1 CiteULike
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Title
Development of a semi-conductor sequencing-based panel for genotyping of colon and lung cancer by the Onconetwork consortium
Published in
BMC Cancer, January 2015
DOI 10.1186/s12885-015-1015-5
Pubmed ID
Authors

Bastiaan BJ Tops, Nicola Normanno, Henriette Kurth, Eliana Amato, Andrea Mafficini, Nora Rieber, Delphine Le Corre, Anna Maria Rachiglio, Anne Reiman, Orla Sheils, Christoph Noppen, Ludovic Lacroix, Ian A Cree, Aldo Scarpa, Marjolijn JL Ligtenberg, Pierre Laurent-Puig

Abstract

BackgroundThe number of predictive biomarkers that will be necessary to assess in clinical practice will increase with the availability of drugs that target specific molecular alterations. Therefore, diagnostic laboratories are confronted with new challenges: costs, turn-around-time and the amount of material required for testing will increase with the number of tests performed on a sample. Our consortium of European clinical research laboratories set out to test if semi-conductor sequencing provides a solution for these challenges.MethodsWe designed a multiplex PCR targeting 87 hotspot regions in 22 genes that are of clinical interest for lung and/or colorectal cancer. The gene-panel was tested by 7 different labs in their own clinical setting using ion-semiconductor sequencing.ResultsWe analyzed 155 samples containing 112 previously identified mutations in the KRAS, EGFR en BRAF genes. Only 1 sample failed analysis due to poor quality of the DNA. All other samples were correctly genotyped for the known mutations, even as low as 2%, but also revealed other mutations. Optimization of the primers used in the multiplex PCR resulted in a uniform coverage distribution over the amplicons that allows for efficient pooling of samples in a sequencing run.ConclusionsWe show that a semi-conductor based sequencing approach to stratify colon and lung cancer patients is feasible in a clinical setting.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Japan 1 1%
Netherlands 1 1%
Germany 1 1%
Unknown 77 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 20%
Other 10 12%
Student > Postgraduate 7 9%
Student > Bachelor 7 9%
Student > Master 7 9%
Other 14 17%
Unknown 20 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 23%
Agricultural and Biological Sciences 17 21%
Medicine and Dentistry 15 19%
Engineering 5 6%
Computer Science 2 2%
Other 3 4%
Unknown 20 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 March 2015.
All research outputs
#2,340,961
of 23,975,876 outputs
Outputs from BMC Cancer
#415
of 8,557 outputs
Outputs of similar age
#34,155
of 359,024 outputs
Outputs of similar age from BMC Cancer
#6
of 114 outputs
Altmetric has tracked 23,975,876 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,557 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 359,024 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.