Evidence map›Paper›PMID 32727569›Full record

ArticleBMC medical genomics2020

Detection of leukemia gene fusions by targeted RNA-sequencing in routine diagnostics.

Marie Engvall, Nicola Cahill, Britt-Inger Jonsson, Martin Höglund, Helene Hallböök, Lucia Cavelier

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Article
  3. Oncogenic gene fusions in cancer: from biology to therapy.Signal transduction and targeted therapy · 2025
    Review
  4. Article
  5. Article
  6. Review
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  11. Review
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  13. Article
  14. Preleukemic Fusion Genes Induced via Ionizing Radiation.International journal of molecular sciences · 2023
    Review
  15. Article
  16. Article
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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

6 authors at 2 institutions in 1 country.

Marie EngvallDepartment of Immunology, Genetics, and Pathology, Uppsala University, Uppsala, Sweden. Marie.Engvall@igp.uu.se.ORCID 0000-0002-7394-9191
Nicola CahillDepartment of Immunology, Genetics, and Pathology, Uppsala University, Uppsala, Sweden.
Britt-Inger JonssonClinical genetics, Uppsala University Hospital, SE-751 85, Uppsala, Sweden.
Martin HöglundDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Helene HallböökDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Lucia CavelierDepartment of Immunology, Genetics, and Pathology, Uppsala University, Uppsala, Sweden.
Uppsala University · SEUppsala University Hospital · SE

Funding

Science for Life Laboratory None
6 · The paper itself

Abstract

backgroundWe have evaluated an NGS-based method to detect recurrent gene fusions of diagnostic and prognostic importance in hematological malignancies. Our goal was to achieve a highly specific assay with a simple workflow, short turnaround time and low cost.

methodThe assay uses a commercially available anchored multiplex PCR panel for target enrichment and library preparation, followed by sequencing using a MiSeq instrument. The panel includes all recurrent gene fusions in AML and ALL and is designed to detect gene-specific fusions without prior knowledge of the partner sequence or specific break points. Diagnostic RNA samples from 27 cases with hematological malignancies encompassing 23 different transcript variants were analyzed. In addition, 12 cases from a validation cohort were assessed.

resultAll known fusion transcripts were identified with a high degree of confidence, with a large number of reads covering the breakpoints. Importantly, we could identify gene fusions where conventional methods had failed due to cryptic rearrangements or rare fusion partners. The newly-identified fusion partners were verified by RT-PCR and transcript-specific qPCR was designed for patient-specific follow-up. In addition, 12 cases were correctly assessed in a blind test, without prior knowledge of molecular cytogenetics or diagnosis.

conclusionIn summary, our results demonstrate that targeted RNA sequencing using anchored multiplex PCR can be implemented in a clinical laboratory for the detection of recurrent and rare gene fusions in hematological diagnostic samples.

Indexed as

Biomarkers, TumorCohort StudiesHematologic NeoplasmsHumansOncogene Proteins, FusionPrognosisSequence Analysis, RNABiomarkers, TumorOncogene Proteins, FusionGene fusionKMT2ALeukemiaNGSTargeted RNA sequencing

Identifiers

PMID32727569
PMCPMC7388219
OpenAlexW3045590327

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.