Evidence map›Paper›PMID 28181564›Full record

ArticleScientific reports2017

Multiplexed transcriptome analysis to detect ALK, ROS1 and RET rearrangements in lung cancer.

Toni-Maree Rogers, Gisela Mir Arnau, Georgina L Ryland, Stephen Huang, Maruja E Lira, Yvette Emmanuel, Omar D Perez, Darryl Irwin, Andrew P Fellowes, Stephen Q Wong and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Updated guidelines for predictive biomarker testing in advanced non-small-cell lung cancer: a National Consensus of the Spanish Society of Pathology and the Spanish Society of Medical Oncology.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2020
    Guideline
  2. Comprehensive analysis ofJournal of genetics · 2020
    Trial
  3. AccurateInternational journal of molecular sciences · 2025
    Article
  4. Review
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  7. Article
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  9. Article
  10. Review
  11. Article
  12. Multidisciplinary consensus on optimising the detection of NTRK gene alterations in tumours.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
    Article
  13. Article
  14. Simultaneous analysis ofTranslational lung cancer research · 2021
    Article
  15. Review
  16. Review
  17. Article
  18. The Landscape of Actionable Gene Fusions in Colorectal Cancer.International journal of molecular sciences · 2019
    Review
  19. Review
  20. 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

11 authors at 2 institutions in 2 countries.

Toni-Maree RogersPeter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Gisela Mir ArnauPeter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Georgina L RylandPeter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Stephen HuangOncology Research, Pfizer, San Diego, California, USA.
Maruja E LiraOncology Research, Pfizer, San Diego, California, USA.
Yvette EmmanuelAgena Bioscience, Herston, QLD 4006, Australia.
Omar D PerezDiagnostic Oncology, Pfizer, San Diego, California, USA.
Darryl IrwinAgena Bioscience, Herston, QLD 4006, Australia.
Andrew P FellowesPeter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Stephen Q WongPeter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Stephen B FoxPeter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Peter MacCallum Cancer Centre · AUPfizer (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ALK, ROS1 and RET gene fusions are important predictive biomarkers for tyrosine kinase inhibitors in lung cancer. Currently, the gold standard method for gene fusion detection is Fluorescence In Situ Hybridization (FISH) and while highly sensitive and specific, it is also labour intensive, subjective in analysis, and unable to screen a large numbers of gene fusions. Recent developments in high-throughput transcriptome-based methods may provide a suitable alternative to FISH as they are compatible with multiplexing and diagnostic workflows. However, the concordance between these different methods compared with FISH has not been evaluated. In this study we compared the results from three transcriptome-based platforms (Nanostring Elements, Agena LungFusion panel and ThermoFisher NGS fusion panel) to those obtained from ALK, ROS1 and RET FISH on 51 clinical specimens. Overall agreement of results ranged from 86-96% depending on the platform used. While all platforms were highly sensitive, both the Agena panel and Thermo Fisher NGS fusion panel reported minor fusions that were not detectable by FISH. Our proof-of-principle study illustrates that transcriptome-based analyses are sensitive and robust methods for detecting actionable gene fusions in lung cancer and could provide a robust alternative to FISH testing in the diagnostic setting.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticGene RearrangementAnaplastic Lymphoma KinaseCell Line, TumorHumansIn Situ Hybridization, FluorescenceLung NeoplasmsOncogene Proteins, FusionProtein-Tyrosine KinasesProto-Oncogene ProteinsProto-Oncogene Proteins c-retReceptor Protein-Tyrosine KinasesALK protein, humanAnaplastic Lymphoma KinaseOncogene Proteins, FusionProtein-Tyrosine KinasesProto-Oncogene ProteinsProto-Oncogene Proteins c-retReceptor Protein-Tyrosine KinasesRET protein, humanROS1 protein, human

Identifiers

PMID28181564
PMCPMC5299839
OpenAlexW2586279053

What OpenQuestion holds

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LicenceCC BY
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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.