Evidence map›Paper›PMID 28058850›Full record

ReviewExpert review of molecular diagnostics2017

Molecular diagnostics in the management of rhabdomyosarcoma.

Michael A Arnold, Fredric G Barr

Open access · greenAbstract readReview
In one paragraph

Review in Expert review of molecular diagnostics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Comprehensive study of gene fusions in sarcomas.Investigational new drugs · 2025
    Article
  5. Case Report: Management of aFrontiers in medicine · 2025
    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

2 authors at 2 institutions in 1 country.

Michael A Arnolda Department of Pathology and Laboratory Medicine , Nationwide Children's Hospital , Columbus , OH , USA.
Fredric G Barrc Laboratory of Pathology , National Cancer Institute , Bethesda , MD , USA.
National Cancer Institute · USNationwide Children's Hospital · US

Funding

Mach-LETSGO: Machine-LEarning of Treatment, Survey, and Genetics towards Obtaining Correct Classification of Chronic Conditions in Adult Survivors in the Childhood Cancer Survivor Study - CCSS SupplU24CA055727 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Gregory Armstrong · 1999 to 2026
$96.7M
Studies of amplification in rhabdomyosarcomaZIABC011378 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI BARR, FREDERIC · 2011 to 2025
$7.2M
Epigenetic studies in rhabdomyosarcomaZIABC011423 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI BARR, FREDERIC · 2012 to 2025
$7.1M
Collaborative Human Tissue Network (CHTN)UM1CA183730 · NCI · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI RAMIREZ MILAN, NILSA DEL CARMEN · 2014 to 2018
$3.9M
Intramural NIH HHS Z99 CA999999NCI NIH HHS U24 CA055727NCI NIH HHS UM1 CA183730
6 · The paper itself

Abstract

introductionA classification of rhabdomyosarcoma (RMS) with prognostic relevance has primarily relied on clinical features and histologic classification as either embryonal or alveolar RMS. The PAX3-FOXO1 and PAX7-FOXO1 gene fusions occur in 80% of cases with the alveolar subtype and are more predictive of outcome than histologic classification. Identifying additional molecular hallmarks that further subclassify RMS is an active area of research. Areas Covered: The authors review the current state of the PAX3-FOXO1 and PAX7-FOXO1 fusions as prognostic biomarkers. Emerging biomarkers, including mRNA expression profiling, MYOD1 mutations, RAS pathway mutations and gene fusions involving NCOA2 or VGLL2 are also reviewed. Expert commentary: Strategies for modifying RMS risk stratification based on molecular biomarkers are emerging with the potential to transform the clinical management of RMS, ultimately improving patient outcomes by tailoring therapy to predicted patient risk and identifying targets for novel therapies.

Indexed as

Biomarkers, TumorHumansMolecular Diagnostic TechniquesMuscle ProteinsMyoD ProteinNuclear Receptor Coactivator 1Oncogene Protein p21(ras)Oncogene Proteins, FusionPaired Box Transcription FactorsRhabdomyosarcomaTranscription FactorsBiomarkers, TumorMuscle ProteinsMyoD1 myogenic differentiation proteinMyoD ProteinNCOA1 protein, humanNuclear Receptor Coactivator 1Oncogene Protein p21(ras)Oncogene Proteins, FusionPaired Box Transcription FactorsPAX3-FOXO1A fusion protein, humanPAX7-FOXO1A fusion protein, humanTranscription FactorsVGLL2 protein, humanFGFR4fusion oncogenegene amplificationmolecular testingMYOD1NCOA2RASRhabdomyosarcomarisk stratificationVGLL2

Identifiers

PMID28058850
PMCPMC5657295
OpenAlexW2568562831

What OpenQuestion holds

Textmetadata
LicenceTDM
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.