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Simultaneous detection of lung fusions using a multiplex RT-PCR next generation sequencing-based approach: a multi-institutional research study

Overview of attention for article published in BMC Cancer, August 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)

Mentioned by

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5 tweeters

Citations

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3 Dimensions

Readers on

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16 Mendeley
Title
Simultaneous detection of lung fusions using a multiplex RT-PCR next generation sequencing-based approach: a multi-institutional research study
Published in
BMC Cancer, August 2018
DOI 10.1186/s12885-018-4736-4
Pubmed ID
Authors

Cecily P. Vaughn, José Luis Costa, Harriet E. Feilotter, Rosella Petraroli, Varun Bagai, Anna Maria Rachiglio, Federica Zito Marino, Bastiaan Tops, Henriette M. Kurth, Kazuko Sakai, Andrea Mafficini, Roy R. L. Bastien, Anne Reiman, Delphine Le Corre, Alexander Boag, Susan Crocker, Michel Bihl, Astrid Hirschmann, Aldo Scarpa, José Carlos Machado, Hélène Blons, Orla Sheils, Kelli Bramlett, Marjolijn J. L. Ligtenberg, Ian A. Cree, Nicola Normanno, Kazuto Nishio, Pierre Laurent-Puig

Abstract

Gene fusion events resulting from chromosomal rearrangements play an important role in initiation of lung adenocarcinoma. The recent association of four oncogenic driver genes, ALK, ROS1, RET, and NTRK1, as lung tumor predictive biomarkers has increased the need for development of up-to-date technologies for detection of these biomarkers in limited amounts of material. We describe here a multi-institutional study using the Ion AmpliSeq™ RNA Fusion Lung Cancer Research Panel to interrogate previously characterized lung tumor samples. Reproducibility between laboratories using diluted fusion-positive cell lines was 100%. A cohort of lung clinical research samples from different origins (tissue biopsies, tissue resections, lymph nodes and pleural fluid samples) were used to evaluate the panel. We observed 97% concordance for ALK (28/30 positive; 71/70 negative samples), 95% for ROS1 (3/4 positive; 19/18 negative samples), and 93% for RET (2/1 positive; 13/14 negative samples) between the AmpliSeq assay and other methodologies. This methodology enables simultaneous detection of multiple ALK, ROS1, RET, and NTRK1 gene fusion transcripts in a single panel, enhanced by an integrated analysis solution. The assay performs well on limited amounts of input RNA (10 ng) and offers an integrated single assay solution for detection of actionable fusions in lung adenocarcinoma, with potential savings in both cost and turn-around-time compared to the combination of all four assays by other methods.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 7 44%
Student > Master 4 25%
Other 2 13%
Student > Ph. D. Student 2 13%
Researcher 1 6%
Other 0 0%
Readers by discipline Count As %
Unspecified 7 44%
Biochemistry, Genetics and Molecular Biology 3 19%
Medicine and Dentistry 2 13%
Computer Science 1 6%
Agricultural and Biological Sciences 1 6%
Other 2 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 August 2018.
All research outputs
#3,708,314
of 13,441,462 outputs
Outputs from BMC Cancer
#978
of 5,055 outputs
Outputs of similar age
#95,967
of 270,850 outputs
Outputs of similar age from BMC Cancer
#1
of 1 outputs
Altmetric has tracked 13,441,462 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 5,055 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 80% 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 270,850 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them