Evidence map›Paper›PMID 33639937›Full record

ArticleBMC medical genomics2021

Detection of gene fusions using targeted next-generation sequencing: a comparative evaluation.

Carina Heydt, Christina B Wölwer, Oscar Velazquez Camacho, Svenja Wagener-Ryczek, Roberto Pappesch, Janna Siemanowski, Jan Rehker, Florian Haller, Abbas Agaimy, Karl Worm and 11 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC medical genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
11.6field-weighted citation impact, top 1% 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

71 citing papers in PubMed, 104 citations in OpenAlex.

  1. Current oncology (Toronto, Ont.) · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Gene fusions in melanocytic lesions: an updated comprehensive review.Journal of pathology and translational medicine · 2026
    Article
  7. Review
  8. Article
  9. Case Report:Frontiers in oncology · 2026
    Article
  10. Review
  11. Article
  12. AccurateInternational journal of molecular sciences · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Salivary biomarkers: a promising approach for predicting immunotherapy response in head and neck cancers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Review
  18. Review
  19. Oncogenic gene fusions in cancer: from biology to therapy.Signal transduction and targeted therapy · 2025
    Review
  20. Review

11 more citing papers are in PubMed but not listed here.

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

21 authors at 7 institutions in 1 country.

Carina Heydt *Institute of Pathology, University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany. carina.heydt@uk-koeln.de.
Christina B Wölwer *Institute of Pathology, University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Oscar Velazquez CamachoInstitute of Pathology, University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Svenja Wagener-RyczekInstitute of Pathology, University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Roberto PappeschInstitute of Pathology, University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Janna SiemanowskiInstitute of Pathology, University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Jan RehkerInstitute of Pathology, University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Florian HallerInstitute of Pathology, University Hospital Erlangen, Erlangen, Germany.
Abbas AgaimyInstitute of Pathology, University Hospital Erlangen, Erlangen, Germany.
Karl WormInstitute of Pathology, University Hospital Essen, University Duisburg-Essen, Essen, Germany.
Thomas HeroldInstitute of Pathology, University Hospital Essen, University Duisburg-Essen, Essen, Germany.
Nicole PfarrInstitute of Pathology, Technical University Munich (TUM), Munich, Germany.
Wilko WeichertInstitute of Pathology, Technical University Munich (TUM), Munich, Germany.
Thomas KirchnerInstitute of Pathology, LMU Munich, Munich, Germany.
Andreas JungInstitute of Pathology, LMU Munich, Munich, Germany.
Jörg KumbrinkInstitute of Pathology, LMU Munich, Munich, Germany.
Wolfgang GoeringInstitute of Pathology, Medical Faculty, Heinrich-Heine-University and University Hospital Duesseldorf, Düesseldorf, Germany.
Irene EspositoInstitute of Pathology, Medical Faculty, Heinrich-Heine-University and University Hospital Duesseldorf, Düesseldorf, Germany.
Reinhard BuettnerInstitute of Pathology, University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Axel M HillmerInstitute of Pathology, University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Sabine Merkelbach-BruseInstitute of Pathology, University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
University Hospital Cologne · DEDüsseldorf University Hospital · DELMU Klinikum · DETechnical University of Munich · DEUniversitätsklinikum Erlangen · DEUniversity of Duisburg-Essen · DELudwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGene fusions represent promising targets for cancer therapy in lung cancer. Reliable detection of multiple gene fusions is therefore essential.

methodsFive commercially available parallel sequencing assays were evaluated for their ability to detect gene fusions in eight cell lines and 18 FFPE tissue samples carrying a variety of known gene fusions. Four RNA-based assays and one DNA-based assay were compared; two were hybrid capture-based, TruSight Tumor 170 Assay (Illumina) and SureSelect XT HS Custom Panel (Agilent), and three were amplicon-based, Archer FusionPlex Lung Panel (ArcherDX), QIAseq RNAscan Custom Panel (Qiagen) and Oncomine Focus Assay (Thermo Fisher Scientific).

resultsThe Illumina assay detected all tested fusions and showed the smallest number of false positive results. Both, the ArcherDX and Qiagen panels missed only one fusion event. Among the RNA-based assays, the Qiagen panel had the highest number of false positive events. The Oncomine Focus Assay (Thermo Fisher Scientific) was the least adequate assay for our purposes, seven fusions were not covered by the assay and two fusions were classified as uncertain. The DNA-based SureSelect XT HS Custom Panel (Agilent) missed three fusions and nine fusions were only called by one software version. Additionally, many false positive fusions were observed.

conclusionsIn summary, especially RNA-based parallel sequencing approaches are potent tools for reliable detection of targetable gene fusions in clinical diagnostics.

Indexed as

Gene FusionHigh-Throughput Nucleotide SequencingCell Line, TumorHumansLung NeoplasmsDNA-SeqFISHGene fusionNGSRNA-seq

Identifiers

PMID33639937
PMCPMC7912891
OpenAlexW3133505535

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.