Evidence map›Paper›PMID 30115026›Full record

ArticleBMC cancer2018

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

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 and 18 more

Abstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. AccurateInternational journal of molecular sciences · 2025
    Article
  2. Article
  3. Oncogenic gene fusions in cancer: from biology to therapy.Signal transduction and targeted therapy · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. The Landscape of Actionable Gene Fusions in Colorectal Cancer.International journal of molecular sciences · 2019
    Review
  14. Review
  15. Review
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

28 authors.

Cecily P VaughnARUP Institute for Clinical and Experimental Pathology, Salt Lake City, UT, USA.
José Luis Costai3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen 208, 4200-135, Porto, Portugal. jcosta@ipatimup.pt.ORCID http://orcid.org/0000-0001-7132-4094
Harriet E FeilotterDepartment of Pathology and Molecular Medicine, Queen's University, Kingston, ON, Canada.
Rosella PetraroliThermo Fisher Scientific, Austin, TX, USA.
Varun BagaiThermo Fisher Scientific, Austin, TX, USA.
Anna Maria RachiglioLaboratory of Pharmacogenomics, Centro di Ricerche Oncologiche di Mercogliano (CROM)-Istituto Nazionale Tumori "Fondazione G. Pascale"-IRCCS, Naples, Italy.
Federica Zito MarinoPathology Unit, Istituto Nazionale Tumori "Fondazione G. Pascale"-IRCCS, Naples, Italy.
Bastiaan TopsDepartment of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands.
Henriette M KurthViollier AG, Department of Genetics/Molecular Biology, Basel, Switzerland.
Kazuko SakaiDepartment of Genome Biology, Kinki University Faculty of Medicine, Osaka, Japan.
Andrea MafficiniARC-NET: Centre for Applied Research on Cancer, Department of Pathology and Diagnostic, University and Hospital Trust of Verona, Verona, Italy.
Roy R L BastienARUP Institute for Clinical and Experimental Pathology, Salt Lake City, UT, USA.
Anne ReimanCentre for Sport, Exercise and Life Sciences, Coventry University, Coventry, UK.
Delphine Le CorreUniversity Paris Descartes, Paris, France.
Alexander BoagDepartment of Pathology and Molecular Medicine, Queen's University, Kingston, ON, Canada.
Susan CrockerDepartment of Pathology and Molecular Medicine, Queen's University, Kingston, ON, Canada.
Michel BihlInstitute of Pathology, University Hospital Basel, Basel, Switzerland.
Astrid HirschmannLuzerner Kantonsspital, Luzern, Switzerland.
Aldo ScarpaARC-NET: Centre for Applied Research on Cancer, Department of Pathology and Diagnostic, University and Hospital Trust of Verona, Verona, Italy.
José Carlos Machadoi3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen 208, 4200-135, Porto, Portugal.
Hélène BlonsUniversity Paris Descartes, Paris, France.
Orla SheilsTrinity Translational Medicine Institute (TTMI), Trinity College Dublin, Dublin, Ireland.
Kelli BramlettThermo Fisher Scientific, Austin, TX, USA.
Marjolijn J L LigtenbergDepartment of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands.
Ian A CreeDepartment of Pathology, University Hospitals Coventry and Warwickshire, Walsgrave, Coventry, UK.
Nicola NormannoCell Biology and Biotherapy Unit, Istituto Nazionale Tumori "Fondazione G. Pascale"-IRCCS, Naples, Italy.
Kazuto NishioDepartment of Genome Biology, Kinki University Faculty of Medicine, Osaka, Japan.
Pierre Laurent-PuigUniversity Paris Descartes, Paris, France.

Funding

Fundação para a Ciência e a Tecnologia PTDC/DTP-PIC/2500/2014Norte Portugal Regional Programme NORTE-01-0145-FEDER-000029
6 · The paper itself

Abstract

backgroundGene 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.

methodsWe describe here a multi-institutional study using the Ion AmpliSeq™ RNA Fusion Lung Cancer Research Panel to interrogate previously characterized lung tumor samples.

resultsReproducibility 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.

conclusionThis 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.

Indexed as

Multiplex Polymerase Chain ReactionAnaplastic Lymphoma KinaseBiomarkers, TumorBiopsyCell Line, TumorFemaleHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsLymph NodesMaleMembrane GlycoproteinsOncogene Proteins, FusionProtein-Tyrosine KinasesProto-Oncogene ProteinsProto-Oncogene Proteins c-retALK protein, humanAnaplastic Lymphoma KinaseBiomarkers, TumorMembrane GlycoproteinsOncogene Proteins, FusionProtein-Tyrosine KinasesProto-Oncogene ProteinsProto-Oncogene Proteins c-retReceptor Protein-Tyrosine KinasesReceptor, trkBRET protein, humanROS1 protein, humantropomyosin-related kinase-B, humanBiomarkerDetectionFFPEGene fusionsLung cancerNext-generation sequencing

Identifiers

PMID30115026
PMCPMC6097211

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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.