Evidence map›Paper›PMID 30918253›Full record

ArticleNature communications2019

Diagnosis of fusion genes using targeted RNA sequencing.

Erin E Heyer, Ira W Deveson, Danson Wooi, Christina I Selinger, Ruth J Lyons, Vanessa M Hayes, Sandra A O'Toole, Mandy L Ballinger, Devinder Gill, David M Thomas and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 113 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed, 2 pooled it
10.4field-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

113 citing papers in PubMed, 2 syntheses or guidelines pooled it, 226 citations in OpenAlex.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 3 countries.

Erin E HeyerGenomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.ORCID http://orcid.org/0000-0003-3426-9350
Ira W DevesonGenomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.ORCID http://orcid.org/0000-0003-3861-0472
Danson WooiGenomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
Christina I SelingerTissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital, Sydney, 2050, NSW, Australia.
Ruth J LyonsGenomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
Vanessa M HayesGenomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
Sandra A O'TooleSt. Vincent's Clinical School, UNSW Australia, Sydney, 2031, NSW, Australia.
Mandy L BallingerThe Kinghorn Cancer Centre and Cancer Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
Devinder GillDepartment of Haematology, Princess Alexandra Hospital, Brisbane, 4102, QLD, Australia.
David M ThomasThe Kinghorn Cancer Centre and Cancer Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.ORCID http://orcid.org/0000-0002-2527-5428
Tim R MercerGenomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia. t.mercer@garvan.org.au.
James BlackburnGenomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia. j.blackburn@garvan.org.au.ORCID http://orcid.org/0000-0001-5216-8815
Garvan Institute of Medical Research · AUPrincess Alexandra Hospital · AURoyal Prince Alfred Hospital · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fusion genes are a major cause of cancer. Their rapid and accurate diagnosis can inform clinical action, but current molecular diagnostic assays are restricted in resolution and throughput. Here, we show that targeted RNA sequencing (RNAseq) can overcome these limitations. First, we establish that fusion gene detection with targeted RNAseq is both sensitive and quantitative by optimising laboratory and bioinformatic variables using spike-in standards and cell lines. Next, we analyse a clinical patient cohort and improve the overall fusion gene diagnostic rate from 63% with conventional approaches to 76% with targeted RNAseq while demonstrating high concordance for patient samples with previous diagnoses. Finally, we show that targeted RNAseq offers additional advantages by simultaneously measuring gene expression levels and profiling the immune-receptor repertoire. We anticipate that targeted RNAseq will improve clinical fusion gene detection, and its increasing use will provide a deeper understanding of fusion gene biology.

Indexed as

Cell Line, TumorGene Expression ProfilingGene FusionHigh-Throughput Nucleotide SequencingHumansMolecular Diagnostic TechniquesNeoplasmsOncogene FusionSequence Analysis, RNA

Identifiers

PMID30918253
PMCPMC6437215
OpenAlexW2923956523

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.