Evidence map›Paper›PMID 35085008›Full record

ArticleJCO precision oncology2022

Improved Gene Fusion Detection in Childhood Cancer Diagnostics Using RNA Sequencing.

Jayne Y Hehir-Kwa, Marco J Koudijs, Eugene T P Verwiel, Lennart A Kester, Marc van Tuil, Eric Strengman, Arjan Buijs, Mariëtte E G Kranendonk, Laura S Hiemcke-Jiwa, Valerie de Haas and 7 more

Abstract read
In one paragraph

Article in JCO precision oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  13. Oncogenic gene fusions in cancer: from biology to therapy.Signal transduction and targeted therapy · 2025
    Review
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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

17 authors.

Jayne Y Hehir-KwaPrincess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.ORCID 0000-0003-0837-304X
Marco J KoudijsPrincess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.
Eugene T P VerwielPrincess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.
Lennart A KesterPrincess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.ORCID 0000-0002-8259-9971
Marc van TuilPrincess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.
Eric StrengmanPrincess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.ORCID 0000-0001-9796-0507
Arjan BuijsDepartment of Laboratories, Pharmacy and Biomedical Genetics, Section of Genome Diagnostics, University Medical Center Utrecht, Utrecht, the Netherlands.
Mariëtte E G KranendonkPrincess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.
Laura S Hiemcke-JiwaPrincess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.
Valerie de HaasPrincess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.ORCID 0000-0003-0339-6816
Ellen van de GeerPrincess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.ORCID 0000-0002-9132-0784
Wendy de LengDepartment of Laboratories, Pharmacy and Biomedical Genetics, Section Pathology, University Medical Center Utrecht, Utrecht, the Netherlands.
Jasper van der LugtPrincess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.
Philip LijnzaadPrincess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.ORCID 0000-0002-7535-583X
Frank C P HolstegePrincess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.
Patrick KemmerenPrincess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.ORCID 0000-0003-2237-7354
Bastiaan B J TopsPrincess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.ORCID 0000-0002-1699-8210

Funding

EPA EP-C-16-015
6 · The paper itself

Abstract

purposeGene fusions play a significant role in cancer etiology, making their detection crucial for accurate diagnosis, prognosis, and determining therapeutic targets. Current diagnostic methods largely focus on either targeted or low-resolution genome-wide techniques, which may be unable to capture rare events or both fusion partners. We investigate if RNA sequencing can overcome current limitations with traditional diagnostic techniques to identify gene fusion events.

methodsWe first performed RNA sequencing on a validation cohort of 24 samples with a known gene fusion event, after which a prospective pan-pediatric cancer cohort (n = 244) was tested by RNA sequencing in parallel to existing diagnostic procedures. This cohort included hematologic malignancies, tumors of the CNS, solid tumors, and suspected neoplastic samples. All samples were processed in the routine diagnostic workflow and analyzed for gene fusions using standard-of-care methods and RNA sequencing.

resultsWe identified a clinically relevant gene fusion in 83 of 244 cases in the prospective cohort. Sixty fusions were detected by both routine diagnostic techniques and RNA sequencing, and one fusion was detected only in routine diagnostics, but an additional 24 fusions were detected solely by RNA sequencing. RNA sequencing, therefore, increased the diagnostic yield by 38%-39%. In addition, RNA sequencing identified both gene partners involved in the gene fusion, in contrast to most routine techniques. For two patients, the newly identified fusion by RNA sequencing resulted in treatment with targeted agents.

conclusionWe show that RNA sequencing is sufficiently robust for gene fusion detection in routine diagnostics of childhood cancers and can make a difference in treatment decisions.

Indexed as

Gene FusionSequence Analysis, RNAChildHumansNeoplasmsProspective Studies

Identifiers

PMID35085008
PMCPMC8830514

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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.