Evidence map›Paper›PMID 31255796›Full record

ArticleThe Journal of molecular diagnostics : JMD2019

Development and Clinical Validation of a Large Fusion Gene Panel for Pediatric Cancers.

Fengqi Chang, Fumin Lin, Kajia Cao, Lea F Surrey, Richard Aplenc, Rochelle Bagatell, Adam C Resnick, Mariarita Santi, Phillip B Storm, Sarah K Tasian and 3 more

Open access · greenAbstract readValidation Study
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

36 citing papers in PubMed, 55 citations in OpenAlex.

  1. Trial
  2. Trial
  3. JCO precision oncology · 2026
    Review
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  6. Molecular Characterization of a ComplexJCO precision oncology · 2026
    Article
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  17. A novel ARIH1::BRAF fusion in a glioma.Journal of neuropathology and experimental neurology · 2023
    Article
  18. Article
  19. ZFTA-fused supratentorial ependymoma with a novel fusion partner, DUX4.Journal of neuropathology and experimental neurology · 2023
    Article
  20. First-time identification of a KIF5B-NTRK2 fusion in extraventricular neurocytoma.Journal of neuropathology and experimental neurology · 2023
    Article
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

13 authors at 1 institution in 1 country.

Fengqi ChangDepartment of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Fumin LinDepartment of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Kajia CaoDepartment of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Lea F SurreyDepartment of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Richard AplencDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Rochelle BagatellDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Adam C ResnickDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Mariarita SantiDepartment of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Phillip B StormDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Sarah K TasianDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Angela J WaandersDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Stephen P HungerDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Marilyn M LiDepartment of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania. Electronic address: lim5@email.chop.edu.
Children's Hospital of Philadelphia · US

Funding

U2C Kids First Admin Supplement - data transferU2CHL138346 · NHLBI · CHILDREN'S HOSP OF PHILADELPHIA · PI RESNICK, ADAM CAIN · 2017 to 2022
$21.5M
PI3K Pathway Inhibition for Philadelphia-Like Acute Lymphoblastic LeukemiaK08CA184418 · NCI · CHILDREN'S HOSP OF PHILADELPHIA · PI TASIAN, SARAH KATHLEEN · 2014 to 2018
$848k
NCI NIH HHS K08 CA184418NHLBI NIH HHS U2C HL138346
6 · The paper itself

Abstract

Gene fusions are one of the most common genomic alterations in pediatric cancer. Many fusions encode oncogenic drivers and play important roles in cancer diagnosis, risk stratification, and treatment selection. We report the development and clinical validation of a large custom-designed RNA sequencing panel, CHOP Fusion panel, using anchored multiplex PCR technology. The panel interrogates 106 cancer genes known to be involved in nearly 600 different fusions reported in hematological malignancies and solid tumors. The panel works well with different types of samples, including formalin-fixed, paraffin-embedded samples. The panel demonstrated excellent analytic accuracy, with 100% sensitivity and specificity on 60 pediatric tumor validation samples. In addition to identifying all known fusions in the validation samples, three unrecognized, yet clinically significant, fusions were also detected. A total of 276 clinical cases were analyzed after the validation, and 51 different fusions were identified in 104 cases. Of these fusions, 16 were not previously reported at the time of discovery. These fusions provided genomic information useful for clinical management. Our experience demonstrates that CHOP Fusion panel can detect the vast majority of known and certain novel clinically relevant fusion genes in pediatric cancers accurately, efficiently, and cost-effectively; and the panel provides an excellent tool for new fusion gene discovery.

Indexed as

Biomarkers, TumorCase-Control StudiesChildGenomicsHigh-Throughput Nucleotide SequencingHumansMultiplex Polymerase Chain ReactionNeoplasmsOncogene Proteins, FusionBiomarkers, TumorOncogene Proteins, Fusion

Identifiers

PMID31255796
PMCPMC6734859
OpenAlexW2955237688

What OpenQuestion holds

Textmetadata
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.