Evidence map›Paper›PMID 35013752›Full record

ArticleJournal of molecular medicine (Berlin, Germany)2022

RNA-Seq for the detection of gene fusions in solid tumors: development and validation of the JAX FusionSeq™ 2.0 assay.

Daniel Bergeron, Harshpreet Chandok, Qian Nie, Matthew Prego, Melissa Soucy, Kevin Kelly, Guruprasad Ananda, Andrew Hesse, Honey V Reddi

Abstract read
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In one paragraph

Article in Journal of molecular medicine (Berlin, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 38% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Characteristics of fusion genes in breast cancer.Cancer cell international · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. 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

9 authors at 1 institution in 1 country.

Daniel Bergeron *Clinical Genomics Laboratory, The Jackson Laboratory, Farmington, CT, 06032, USA.
Harshpreet Chandok *Clinical Genomics Laboratory, The Jackson Laboratory, Farmington, CT, 06032, USA.
Qian Nie *Clinical Genomics Laboratory, The Jackson Laboratory, Farmington, CT, 06032, USA.
Matthew PregoClinical Genomics Laboratory, The Jackson Laboratory, Farmington, CT, 06032, USA.
Melissa SoucyClinical Genomics Laboratory, The Jackson Laboratory, Farmington, CT, 06032, USA.
Kevin KellyClinical Genomics Laboratory, The Jackson Laboratory, Farmington, CT, 06032, USA.
Guruprasad AnandaClinical Genomics Laboratory, The Jackson Laboratory, Farmington, CT, 06032, USA.
Andrew HesseClinical Genomics Laboratory, The Jackson Laboratory, Farmington, CT, 06032, USA.
Honey V ReddiClinical Genomics Laboratory, The Jackson Laboratory, Farmington, CT, 06032, USA. honey.reddi@jax.org.ORCID http://orcid.org/0000-0003-1280-9993
Jackson Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole transcriptome sequencing (RNA-Seq) has gained prominence for the detection of fusions in solid tumors. Here, we describe the development and validation of an in-house RNA-Seq-based test system (FusionSeq™ 2.0) for the detection of clinically actionable gene fusions, in formalin-fixed paraffin-embedded (FFPE) specimens, using seventy tumor samples with varying fusion status. Conditions were optimized for RNA input of 50 ng, shown to be adequate to call known fusions at as low as 20% neoplastic content. Evaluation of assay performance between FFPE and fresh-frozen (FF) tissues exhibited little to no difference in fusion calling capability. Performance analysis of the assay validation data determined 100% accuracy, sensitivity, specificity, and reproducibility. This clinically developed and validated RNA-Seq-based approach for fusion detection in FPPE samples was shown to be on par if not superior to off-the-shelf commercially offered assays. With gene fusions implicated in a variety of cancer types, offering high-quality, low-cost molecular testing services for FFPE specimens will serve to best benefit the patient and the advancement of precision medicine in molecular oncology. KEY MESSAGES: A custom RNA-Seq-based test system (FusionSeq™ 2.0) for the detection of clinically actionable gene fusions, Evaluation of assay performance between FFPE and fresh-frozen (FF) tissues exhibited little to no difference in fusion calling capability. The assay can be performed with low RNA input and neoplastic content. Performance characteristics of the assay validation data determined 100% accuracy, sensitivity, specificity, and reproducibility.

Indexed as

Gene FusionRNA-SeqBiological AssayHumansNeoplasms

Identifiers

PMID35013752
OpenAlexW4205595243

What OpenQuestion holds

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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.