Evidence map›Paper›PMID 27454080›Full record

ArticleOncogenesis2016

Comparative transcriptomic analysis reveals the oncogenic fusion protein PAX3-FOXO1 globally alters mRNA and miRNA to enhance myoblast invasion.

J M Loupe, P J Miller, B P Bonner, E C Maggi, J Vijayaraghavan, J S Crabtree, C M Taylor, J Zabaleta, A D Hollenbach

Open access · goldAbstract read
In one paragraph

Article in Oncogenesis, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

J M LoupeDepartment of Genetics, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
P J MillerDepartment of Genetics, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
B P BonnerDepartment of Genetics, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
E C MaggiDepartment of Genetics, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
J VijayaraghavanDepartment of Genetics, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
J S CrabtreeDepartment of Genetics, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
C M TaylorDepartment of Microbiology, Immunology, and Parasitology, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
J ZabaletaDepartment of Pediatrics and Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
A D HollenbachDepartment of Genetics, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
Louisiana State University Health Sciences Center New Orleans · US

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI JUDD E SHELLITO · 2012 to 2026
$69.1M
Molecular and Soc. Determinants of Obesity and Metabolic Disorders in YouthU54MD008176 · NIMHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FOUAD, MONA N. · 2012 to 2016
$13.7M
Mentoring Translational Researchers in LouisianaP20GM103501 · NIGMS · LSU HEALTH SCIENCES CENTER · PI OCHOA, AUGUSTO C. · 2012 to 2014
$6.3M
Training CoreP20MD004817 · NIMHD · DILLARD UNIVERSITY · PI HAGENSEE, MICHAEL · 2010 to 2014
$6.3M
Translational Genomics CoreP30GM114732 · NIGMS · LSU HEALTH SCIENCES CENTER · PI OCHOA, AUGUSTO C. · 2015 to 2019
$5.2M
Mechanism of regulation for the oncogenic Pax3-FOXO1 in Alveolar RhabdomyosarcomaR01CA138656 · NCI · LSU HEALTH SCIENCES CENTER · PI HOLLENBACH, ANDREW DURRELL · 2009 to 2013
$1.4M
NCI NIH HHS R01 CA138656NIGMS NIH HHS P20 GM103501NIGMS NIH HHS P30 GM114732NIGMS NIH HHS U54 GM104940NIMHD NIH HHS P20 MD004817NIMHD NIH HHS U54 MD008176
6 · The paper itself

Abstract

Rhabdomyosarcoma, one of the most common childhood sarcomas, is comprised of two main subtypes, embryonal and alveolar (ARMS). ARMS, the more aggressive subtype, is primarily characterized by the t(2;13)(p35;p14) chromosomal translocation, which fuses two transcription factors, PAX3 and FOXO1 to generate the oncogenic fusion protein PAX3-FOXO1. Patients with PAX3-FOXO1-postitive tumors have a poor prognosis, in part due to the enhanced local invasive capacity of these cells, which leads to the increased metastatic potential for this tumor. Despite this knowledge, little is known about the role that the oncogenic fusion protein has in this increased invasive potential. In this report we use large-scale comparative transcriptomic analyses in physiologically relevant primary myoblasts to demonstrate that the presence of PAX3-FOXO1 is sufficient to alter the expression of 70 mRNA and 27 miRNA in a manner predicted to promote cellular invasion. In contrast the expression of PAX3 alters 60 mRNA and 23 miRNA in a manner predicted to inhibit invasion. We demonstrate that these alterations in mRNA and miRNA translate into changes in the invasive potential of primary myoblasts with PAX3-FOXO1 increasing invasion nearly 2-fold while PAX3 decreases invasion nearly 4-fold. Taken together, these results allow us to build off of previous reports and develop a more expansive molecular model by which the presence of PAX3-FOXO1 alters global gene regulatory networks to enhance the local invasiveness of cells. Further, the global nature of our observed changes highlights the fact that instead of focusing on a single-gene target, we must develop multi-faceted treatment regimens targeting multiple genes of a single oncogenic phenotype or multiple genes that target different oncogenic phenotypes for tumor progression.

Identifiers

PMID27454080
PMCPMC4972903
OpenAlexW2492756302

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.