Evidence map›Paper›PMID 34864569›Full record

ArticleNeoplasia (New York, N.Y.)2022

Global molecular alterations involving recurrence or progression of pediatric brain tumors.

Fengju Chen, Darshan S Chandrashekar, Michael E Scheurer, Sooryanarayana Varambally, Chad J Creighton

Open access · goldAbstract read
In one paragraph

Article in Neoplasia (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

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  4. An Overview of Analytical Approaches to Cancer Proteogenomics.Methods in molecular biology (Clifton, N.J.) · 2025
    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

5 authors at 2 institutions in 1 country.

Fengju ChenDan L. Duncan Comprehensive Cancer Center Division of Biostatistics, Baylor College of Medicine, Houston, TX, 77030, USA.
Darshan S ChandrashekarO'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, 35233, USA; Molecular and Cellular Pathology, Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.
Michael E ScheurerDan L. Duncan Comprehensive Cancer Center Division of Biostatistics, Baylor College of Medicine, Houston, TX, 77030, USA; Department of Pediatrics, Baylor College of Medicine, Houston, TX, 77030, USA; Texas Children's Cancer Center, Texas Children's Hospital, Houston, TX, 77030, USA.
Sooryanarayana VaramballyO'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, 35233, USA; Molecular and Cellular Pathology, Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, 35233, USA; The Informatics Institute, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.
Chad J CreightonDan L. Duncan Comprehensive Cancer Center Division of Biostatistics, Baylor College of Medicine, Houston, TX, 77030, USA; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA; Department of Medicine, Baylor College of Medicine, Houston, TX, 77030, USA. Electronic address: creighto@bcm.edu.
Baylor College of Medicine · USUniversity of Alabama at Birmingham · US

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI DAVID R ROWLEY · 2007 to 2026
$73.9M
TRAINING AND CAREER DEVELOPMENTU54CA118948 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Timiya S Nolan · 2005 to 2026
$26.6M
NCI NIH HHS P30 CA125123NCI NIH HHS U54 CA118948
6 · The paper itself

Abstract

backgroundWe aimed to identify molecular changes in recurrent or progressive pediatric brain tumors, as compared to the corresponding initial tumors from the same patients, using genomic, transcriptomic, and proteomic data from a unique and large cohort of 55 patients and 63 recurrent or progressive tumors from the Children's Brain Tumor Tissue Consortium, representing various histologic types.

methodsWe carried out paired analyses for each gene between recurrent/progressive and initial tumor groups, using RNA-sequencing and mass spectrometry-based proteomic data. By whole-genome sequencing (WGS) analysis, we also examined somatic DNA events for a set of cancer-associated genes.

resultsOf 44 patients examined by WGS, 35 involved at least one cancer-associated gene with a somatic alteration event in a recurrent or progressive tumor that was not present in the initial tumor, including genes NF1, CDKN2A, CCND2, EGFR, and MYCN. By paired analysis, 68 mRNA transcripts were differentially expressed in recurrent/progressive tumors with p<0.001, and these genes could predict patient outcomes in an independent set of pediatric brain tumors. Gene transcript-level associations with recurrence or progression were enriched for protein-level associations. There was a significant overlap in results from pediatric brain tumors and results from adult brain tumors from The Cancer Genome Atlas. Unsupervised analysis defined five subsets of recurrent or progressive tumors, with differences in gene expression and overall patient survival.

conclusionsOur study uncovers genes showing consistent expression differences in recurrent or progressive tumors. These genes may provide molecular clues as to processes or pathways underlying more aggressive pediatric brain tumors.

Indexed as

Biomarkers, TumorDisease SusceptibilityBrain NeoplasmsChildComputational BiologyDatabases, GeneticDisease ProgressionExome SequencingGene Expression ProfilingGenetic Predisposition to DiseaseHumansMutationRecurrenceTranscriptomeBiomarkers, TumorPediatric brain tumorsProgressionProteomicsRecurrenceRNA-sequencing

Identifiers

PMID34864569
PMCPMC8649620
OpenAlexW4200379785

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.