Evidence map›Paper›PMID 37277823›Full record

ArticleJournal of translational medicine2023

Group-specific cellular metabolism in Medulloblastoma.

Viktoria L E Funke, Carolin Walter, Viktoria Melcher, Lanying Wei, Sarah Sandmann, Marc Hotfilder, Julian Varghese, Natalie Jäger, Marcel Kool, David T W Jones and 11 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.6field-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

6 citing papers in PubMed, 9 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

21 authors at 4 institutions in 2 countries.

Viktoria L E FunkeDepartment of Pediatric Hematology and Oncology, University Children's Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
Carolin WalterDepartment of Pediatric Hematology and Oncology, University Children's Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
Viktoria MelcherDepartment of Pediatric Hematology and Oncology, University Children's Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
Lanying WeiInstitute of Medical Informatics, University of Münster, 48149, Münster, Germany.
Sarah SandmannInstitute of Medical Informatics, University of Münster, 48149, Münster, Germany.
Marc HotfilderDepartment of Pediatric Hematology and Oncology, University Children's Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
Julian VargheseInstitute of Medical Informatics, University of Münster, 48149, Münster, Germany.
Natalie JägerHopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany.
Marcel KoolHopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany.
David T W JonesHopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany.
Stefan M PfisterHopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany.
Till MildeHopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany.
Martin MynarekDepartment of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, 20251, Hamburg, Germany.
Stefan RutkowskiDepartment of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, 20251, Hamburg, Germany.
Jochen SeggewissInstitute of Human Genetics, University Hospital Münster, Münster, Germany.
Daniela JeisingDepartment of Pediatric Hematology and Oncology, University Children's Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
Flavia W de FariaDepartment of Pediatric Hematology and Oncology, University Children's Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
Thorsten MarquardtDepartment of General Pediatrics, Metabolic Diseases, University Children's Hospital Münster, 48149, Münster, Germany.
Thomas K AlbertDepartment of Pediatric Hematology and Oncology, University Children's Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
Ulrich SchüllerDepartment of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, 20251, Hamburg, Germany.
Kornelius KerlDepartment of Pediatric Hematology and Oncology, University Children's Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany. kornelius.kerl@ukmuenster.de.ORCID 0000-0002-5676-8102
University Hospital Münster · DEGerman Cancer Research Center · DEUniversity of Münster · DEUniversität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer metabolism influences multiple aspects of tumorigenesis and causes diversity across malignancies. Although comprehensive research has extended our knowledge of molecular subgroups in medulloblastoma (MB), discrete analysis of metabolic heterogeneity is currently lacking. This study seeks to improve our understanding of metabolic phenotypes in MB and their impact on patients' outcomes.

methodsData from four independent MB cohorts encompassing 1,288 patients were analysed. We explored metabolic characteristics of 902 patients (ICGC and MAGIC cohorts) on bulk RNA level. Moreover, data from 491 patients (ICGC cohort) were searched for DNA alterations in genes regulating cell metabolism. To determine the role of intratumoral metabolic differences, we examined single-cell RNA-sequencing (scRNA-seq) data from 34 additional patients. Findings on metabolic heterogeneity were correlated to clinical data.

resultsEstablished MB groups exhibit substantial differences in metabolic gene expression. By employing unsupervised analyses, we identified three clusters of group 3 and 4 samples with distinct metabolic features in ICGC and MAGIC cohorts. Analysis of scRNA-seq data confirmed our results of intertumoral heterogeneity underlying the according differences in metabolic gene expression. On DNA level, we discovered clear associations between altered regulatory genes involved in MB development and lipid metabolism. Additionally, we determined the prognostic value of metabolic gene expression in MB and showed that expression of genes involved in metabolism of inositol phosphates and nucleotides correlates with patient survival.

conclusionOur research underlines the biological and clinical relevance of metabolic alterations in MB. Thus, distinct metabolic signatures presented here might be the first step towards future metabolism-targeted therapeutic options.

Indexed as

Cerebellar NeoplasmsMedulloblastomaHumansMutationPhenotypeRNARNAInositol phosphatesMedulloblastomaMetabolismNucleotidesRNA-Seq

Identifiers

PMID37277823
PMCPMC10242934
OpenAlexW4379468607

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.