Evidence map›Paper›PMID 36497479›Full record

ArticleCancers2022

Correlation of Transcriptomics and FDG-PET SUVmax Indicates Reciprocal Expression of Stemness-Related Transcription Factor and Neuropeptide Signaling Pathways in Glucose Metabolism of Ewing Sarcoma.

Carolin Prexler, Marie Sophie Knape, Janina Erlewein-Schweizer, Wolfgang Roll, Katja Specht, Klaus Woertler, Wilko Weichert, Irene von Luettichau, Claudia Rossig, Julia Hauer and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Neuropeptide Y Peptide Family and Cancer: Antitumor Therapeutic Strategies.International journal of molecular sciences · 2023
    Review
  4. Review
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

13 authors at 7 institutions in 3 countries.

Carolin PrexlerDepartment of Pediatrics and Children's Cancer Research Center, Kinderklinik München Schwabing, Klinikum Rechts der Isar, Fakultät für Medizin, Technische Universität München, 80804 Munich, Germany.ORCID 0000-0001-7136-0554
Marie Sophie KnapeDepartment of Pediatrics and Children's Cancer Research Center, Kinderklinik München Schwabing, Klinikum Rechts der Isar, Fakultät für Medizin, Technische Universität München, 80804 Munich, Germany.
Janina Erlewein-SchweizerInstitute of Pathology, Technische Universität München, 81675 Munich, Germany.
Wolfgang RollDepartment of Nuclear Medicine, University Hospital Münster, Albert-Schweitzer-Campus 1 A1, 48149 Munster, Germany.
Katja SpechtInstitute of Pathology, Technische Universität München, 81675 Munich, Germany.
Klaus WoertlerMusculoskeletal Radiology Section, Klinikum Rechts der Isar, Technische Universität München, 81675 Munich, Germany.
Wilko WeichertInstitute of Pathology, Technische Universität München, 81675 Munich, Germany.
Irene von LuettichauDepartment of Pediatrics and Children's Cancer Research Center, Kinderklinik München Schwabing, Klinikum Rechts der Isar, Fakultät für Medizin, Technische Universität München, 80804 Munich, Germany.
Claudia RossigDepartment of Pediatric Hematology and Oncology, University Children's Hospital Muenster, 48149 Muenster, Germany.ORCID 0000-0002-8672-5285
Julia HauerDepartment of Pediatrics and Children's Cancer Research Center, Kinderklinik München Schwabing, Klinikum Rechts der Isar, Fakultät für Medizin, Technische Universität München, 80804 Munich, Germany.ORCID 0000-0002-4058-3058
Guenther H S RichterDepartment of Pediatrics, Division of Oncology and Hematology, Charite-Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany.ORCID 0000-0003-4782-5539
Wolfgang WeberGerman Cancer Consortium (DKTK), Partner Site Munich, 81675 Munich, Germany.
Stefan BurdachDepartment of Pediatrics and Children's Cancer Research Center, Kinderklinik München Schwabing, Klinikum Rechts der Isar, Fakultät für Medizin, Technische Universität München, 80804 Munich, Germany.ORCID 0000-0001-6400-4471
München Klinik Schwabing · DETechnical University of Munich · DETUM Klinikum · DEUniversity Hospital Münster · DEDeutschen Konsortium für Translationale Krebsforschung · DEGerman Cancer Society · DEUniversity of British Columbia · CA

Funding

Cura Placida 554 Children's Cancer Research Foundation naWilhelm Sander Stiftung #2018.072.1
6 · The paper itself

Abstract

backgroundIn Ewing sarcoma (EwS), long-term treatment effects and poor survival rates for relapsed or metastatic cases require individualization of therapy and the discovery of new treatment methods. Tumor glucose metabolic activity varies significantly between patients, and FDG-PET signals have been proposed as prognostic factors. However, the biological basis for the generally elevated but variable glucose metabolism in EwS is not well understood.

methodsWe retrospectively included 19 EwS samples (17 patients). Affymetrix gene expression was correlated with maximal standardized uptake value (SUVmax) using machine learning, linear regression modelling, and gene set enrichment analyses for functional annotation.

resultsExpression of five genes correlated (

conclusionOur large-scale analysis examined comprehensively the correlations between transcriptomics and tumor glucose utilization. Based on our findings, we hypothesize that stemness may be associated with increased glucose uptake, whereas neuroectodermal differentiation may anticorrelate with glucose uptake.

Indexed as

18-FDG-PETEwing sarcomaradiogenomicsSUVmaxtranscriptomics

Identifiers

PMID36497479
PMCPMC9735504
OpenAlexW4311279296

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.