Evidence map›Paper›PMID 29580750›Full record

ArticlePathology, research and practice2018

Targeted next-generation-sequencing for reliable detection of targetable rearrangements in lung adenocarcinoma-a single center retrospective study.

Nadezda P Velizheva, Markus P Rechsteiner, Nadejda Valtcheva, Sandra N Freiberger, Christine E Wong, Bart Vrugt, Qing Zhong, Ulrich Wagner, Holger Moch, Sven Hillinger and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Pathology, research and practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

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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

14 authors at 2 institutions in 2 countries.

Nadezda P VelizhevaInstitute of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.
Markus P RechsteinerInstitute of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.
Nadejda ValtchevaInstitute of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.
Sandra N FreibergerInstitute of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.
Christine E WongInstitute of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.
Bart VrugtInstitute of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.
Qing ZhongInstitute of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.
Ulrich WagnerInstitute of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.
Holger MochInstitute of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.
Sven HillingerDepartment of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland.
Isabelle Schmitt-OpitzDepartment of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland.
Alex SoltermannInstitute of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.
Peter J WildInstitute of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland; Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany.
Verena TischlerInstitute of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland. Electronic address: verena.tischler@usz.ch.
University Hospital of Zurich · CHGoethe University Frankfurt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oncogenic rearrangements leading to targetable gene fusions are well-established cancer driver events in lung adenocarcinoma. Accurate and reliable detection of these gene fusions is crucial to select the appropriate targeted therapy for each patient. We compared the targeted next-generation-sequencing Oncomine Focus Assay (OFA; Thermo Fisher Scientific) with conventional ALK FISH and anti-Alk immunohistochemistry in a cohort of 52 lung adenocarcinomas (10 ALK rearranged, 18 non-ALK rearranged, and 24 untested cases). We found a sensitivity and specificity of 100% for detection of ALK rearrangements using the OFA panel. In addition, targeted next generation sequencing allowed us to analyze a set of 23 driver genes in a single assay. Besides EML4-ALK (11/52 cases), we detected EZR-ROS1 (1/52 cases), KIF5B-RET (1/52 cases) and MET-MET (4/52 cases) fusions. All EML4-ALK, EZR-ROS1 and KIF5B-RET fusions were confirmed by multiplexed targeted next generation sequencing assay (Oncomine Solid Tumor Fusion Transcript Kit, Thermo Fisher Scientific). All cases with EML4-ALK rearrangement were confirmed by Alk immunohistochemistry and all but one by ALK FISH. In our experience, targeted next-generation sequencing is a reliable and timesaving tool for multiplexed detection of targetable rearrangements. Therefore, targeted next-generation sequencing represents an efficient alternative to time-consuming single target assays currently used in molecular pathology.

Indexed as

Gene RearrangementAdenocarcinomaAdenocarcinoma of LungAnaplastic Lymphoma KinaseCell Cycle ProteinsCohort StudiesGene FusionHigh-Throughput Nucleotide SequencingHumansImmunohistochemistryIn Situ Hybridization, FluorescenceLung NeoplasmsMicrotubule-Associated ProteinsPathology, MolecularReceptor Protein-Tyrosine KinasesRetrospective StudiesALK protein, humanAnaplastic Lymphoma KinaseCell Cycle ProteinsEML4 protein, humanMicrotubule-Associated ProteinsReceptor Protein-Tyrosine KinasesSerine EndopeptidasesALK geneGene fusionLung adenocarcinomaNext generation sequencing

Identifiers

PMID29580750
PMCPMC5899763
OpenAlexW2791504368

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LicenceCC BY
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Registered trials

None linked

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.