Evidence map›Paper›PMID 29972784›Full record

ArticleCell reports2018

Integrative Bayesian Analysis Identifies Rhabdomyosarcoma Disease Genes.

Lin Xu, Yanbin Zheng, Jing Liu, Dinesh Rakheja, Sydney Singleterry, Theodore W Laetsch, Jack F Shern, Javed Khan, Timothy J Triche, Douglas S Hawkins and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.4field-weighted citation impact, top 22% 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

21 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  8. Methyltransferase Inhibition Enables TgfMolecular and cellular biology · 2023
    Article
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  11. Review
  12. Article
  13. A Step Forward in Realizing the Promise of Genomic Medicine for Childhood Rhabdomyosarcoma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2021
    Article
  14. Article
  15. Pediatric investigation · 2021
    Article
  16. Review
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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

12 authors at 6 institutions in 1 country.

Lin XuDepartment of Pediatrics, Division of Hematology/Oncology, University of Texas Southwestern Medical Center, Dallas, TX; Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX.
Yanbin ZhengDepartment of Pediatrics, Division of Hematology/Oncology, University of Texas Southwestern Medical Center, Dallas, TX. Electronic address: yanbin.zheng@utsouthwestern.edu.
Jing LiuDepartment of Pediatrics, Division of Hematology/Oncology, University of Texas Southwestern Medical Center, Dallas, TX.
Dinesh RakhejaDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, TX; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX.
Sydney SingleterryDepartment of Pediatrics, Division of Hematology/Oncology, University of Texas Southwestern Medical Center, Dallas, TX.
Theodore W LaetschDepartment of Pediatrics, Division of Hematology/Oncology, University of Texas Southwestern Medical Center, Dallas, TX; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX; Gill Center for Cancer and Blood Disorders, Children's Health, Children's Medical Center, Dallas, TX.
Jack F ShernPediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD.
Javed KhanOncogenomics Section, Genetic Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD.
Timothy J TricheDepartment of Pathology, Keck School of Medicine at USC, Los Angeles, CA; Department of Pediatrics, Keck School of Medicine at USC, Los Angeles, CA.
Douglas S HawkinsDivision of Pediatric Hematology/Oncology, Seattle Children's Hospital, Seattle, WA; Fred Hutchinson Cancer Research Center, University of Washington, Seattle, WA.
James F AmatrudaDepartment of Pediatrics, Division of Hematology/Oncology, University of Texas Southwestern Medical Center, Dallas, TX; Department of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX; Gill Center for Cancer and Blood Disorders, Children's Health, Children's Medical Center, Dallas, TX.
Stephen X SkapekDepartment of Pediatrics, Division of Hematology/Oncology, University of Texas Southwestern Medical Center, Dallas, TX; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX; Gill Center for Cancer and Blood Disorders, Children's Health, Children's Medical Center, Dallas, TX. Electronic address: stephen.skapek@utsouthwestern.edu.
The University of Texas Southwestern Medical Center · USCenter for Cancer Research · USCenter for Cancer and Blood Disorders · USChildren's Medical Center · USKeck Hospital of USC · USUniversity of Washington · US

Funding

COG FOREIGN ACCRUALU10CA098543 · NCI · NATIONAL CHILDHOOD CANCER FOUNDATION · PI ADAMSON, PETER C. · 2003 to 2013
$335.5M
Children's Oncology Group Statistics &Data Center GrantU10CA098413 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI DEVIDAS, MEENAKSHI · 2003 to 2013
$67.5M
UT Southwestern Medical Center Simmons Comprehensive Cancer CenterP30CA142543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI MELANIE H. COBB · 2010 to 2026
$53.7M
BIOINFORMATICS: SYSTEMS BIOLOGY OF PEDIATRIC CANCERSZIABC011002 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI KHAN, JAVED · 2009 to 2025
$9.3M
Genomic characterization and development of therapies for RhabdomyosarcomaZIABC011722 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI SHERN, JOHN · 2016 to 2025
$6.8M
NCI NIH HHS P30 CA142543NCI NIH HHS U10 CA098413NCI NIH HHS U10 CA098543
6 · The paper itself

Abstract

Identifying oncogenic drivers and tumor suppressors remains a challenge in many forms of cancer, including rhabdomyosarcoma. Anticipating gene expression alterations resulting from DNA copy-number variants to be particularly important, we developed a computational and experimental strategy incorporating a Bayesian algorithm and CRISPR/Cas9 "mini-pool" screen that enables both genome-scale assessment of disease genes and functional validation. The algorithm, called iExCN, identified 29 rhabdomyosarcoma drivers and suppressors enriched for cell-cycle and nucleic-acid-binding activities. Functional studies showed that many iExCN genes represent rhabdomyosarcoma line-specific or shared vulnerabilities. Complementary experiments addressed modes of action and demonstrated coordinated repression of multiple iExCN genes during skeletal muscle differentiation. Analysis of two separate cohorts revealed that the number of iExCN genes harboring copy-number alterations correlates with survival. Our findings highlight rhabdomyosarcoma as a cancer in which multiple drivers influence disease biology and demonstrate a generalizable capacity for iExCN to unmask disease genes in cancer.

Indexed as

Genes, NeoplasmBayes TheoremCell DifferentiationCell Line, TumorCRISPR-Cas SystemsDNA Copy Number VariationsGene Expression Regulation, NeoplasticGenes, Tumor SuppressorHumansMusclesOncogenesPolymorphism, Single NucleotideRhabdomyosarcomaRNA, Small InterferingSurvival AnalysisRNA, Small InterferingBayesian algorithmchildhood cancerCRISPR/Cas9integrative genomic analysisoncogenerhabdomyosarcomatumor suppressor gene

Identifiers

PMID29972784
PMCPMC7293769
OpenAlexW2809759406

What OpenQuestion holds

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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.