Evidence map›Paper›PMID 38337036›Full record

ArticleCancer gene therapy2024

Divergent transcriptomic signatures from putative mesenchymal stimuli in glioblastoma cells.

William S Hart, Paul J Myers, Benjamin W Purow, Matthew J Lazzara

Abstract read
In one paragraph

Article in Cancer gene therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. A Synopsis of Biomarkers in Glioblastoma: Past and Present.Current issues in molecular biology · 2024
    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

4 authors.

William S HartDepartment of Chemical Engineering, University of Virginia, Charlottesville, VA, 22903, USA.ORCID 0000-0002-2555-9404
Paul J MyersDepartment of Chemical Engineering, University of Virginia, Charlottesville, VA, 22903, USA.
Benjamin W PurowDepartment of Neurology, University of Virginia, Charlottesville, VA, 22903, USA.
Matthew J LazzaraDepartment of Chemical Engineering, University of Virginia, Charlottesville, VA, 22903, USA. mlazzara@virginia.edu.ORCID 0000-0003-4244-6599

Funding

Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Dina Gould Halme · 1987 to 2026
$72.1M
Cancer Research Training Program: From Molecular Mechanisms to Therapeutic StrategiesT32CA009109 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Andrew Carl Dudley, Melanie R Rutkowski · 1985 to 2026
$13.9M
Transdisciplinary Big Data Science Training at UVaT32LM012416 · NLM · UNIVERSITY OF VIRGINIA · PI BROWN, DONALD E, LOUGHRAN, THOMAS P. · 2016 to 2020
$1.3M
American Cancer Society (American Cancer Society, Inc.) RSG-15-010-01-CDDEPA EP-C-15-010NCI NIH HHS P30 CA044579NCI NIH HHS T32 CA009109NLM NIH HHS T32 LM012416U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) 5T32CA009109U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) P30CA044579U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) T32LM012416
6 · The paper itself

Abstract

In glioblastoma, a mesenchymal phenotype is associated with especially poor patient outcomes. Various glioblastoma microenvironmental factors and therapeutic interventions are purported drivers of the mesenchymal transition, but the degree to which these cues promote the same mesenchymal transitions and the uniformity of those transitions, as defined by molecular subtyping systems, is unknown. Here, we investigate this question by analyzing publicly available patient data, surveying commonly measured transcripts for mesenchymal transitions in glioma-initiating cells (GIC), and performing next-generation RNA sequencing of GICs. Analysis of patient tumor data reveals that TGFβ, TNFα, and hypoxia signaling correlate with the mesenchymal subtype more than the proneural subtype. In cultured GICs, the microenvironment-relevant growth factors TGFβ and TNFα and the chemotherapeutic temozolomide promote expression of commonly measured mesenchymal transcripts. However, next-generation RNA sequencing reveals that growth factors and temozolomide broadly promote expression of both mesenchymal and proneural transcripts, in some cases with equal frequency. These results suggest that glioblastoma mesenchymal transitions do not occur as distinctly as in epithelial-derived cancers, at least as determined using common subtyping ontologies and measuring response to growth factors or chemotherapeutics. Further understanding of these issues may identify improved methods for pharmacologically targeting the mesenchymal phenotype in glioblastoma.

Indexed as

GlioblastomaTranscriptomeBrain NeoplasmsEpithelial-Mesenchymal TransitionGene Expression ProfilingGene Expression Regulation, NeoplasticHumansNeoplastic Stem CellsTemozolomideTumor MicroenvironmentTemozolomide

Identifiers

PMID38337036
PMCPMC11192628

What OpenQuestion holds

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LicenceCC BY
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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.