Evidence map›Paper›PMID 37420311›Full record

ArticleActa neuropathologica communications2023

Compensatory cross-talk between autophagy and glycolysis regulates senescence and stemness in heterogeneous glioblastoma tumor subpopulations.

Emma Martell, Helgi Kuzmychova, Harshal Senthil, Esha Kaul, Chirayu R Chokshi, Chitra Venugopal, Christopher M Anderson, Sheila K Singh, Tanveer Sharif

Open access · goldAbstract read
In one paragraph

Article in Acta neuropathologica communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.4field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. The metabolic profiles of cancer stem cells.Stem cell research & therapy · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Glycosylation Gene Signatures as Prognostic Biomarkers in Glioblastoma.Annals of clinical and translational neurology · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Role of ENO1 and its targeted therapy in tumors.Journal of translational medicine · 2024
    Review
  17. Review
  18. Article
  19. Review
  20. 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

9 authors at 3 institutions in 1 country.

Emma MartellDepartment of Pathology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Helgi KuzmychovaDepartment of Pathology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Harshal SenthilDepartment of Pathology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Esha KaulFaculty of Science, University of Manitoba, Winnipeg, MB, Canada.
Chirayu R ChokshiDepartment of Biochemistry, McMaster University, Hamilton, ON, Canada.
Chitra VenugopalDepartment of Surgery, McMaster University, Hamilton, ON, Canada.
Christopher M AndersonDepartment of Pharmacology and Therapeutics, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Sheila K SinghDepartment of Biochemistry, McMaster University, Hamilton, ON, Canada.
Tanveer SharifDepartment of Pathology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada. Tanveer.Sharif@umanitoba.ca.ORCID 0000-0003-3269-8100
University of Manitoba · CAMcMaster University · CAHealth Sciences Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite tremendous research efforts, successful targeting of aberrant tumor metabolism in clinical practice has remained elusive. Tumor heterogeneity and plasticity may play a role in the clinical failure of metabolism-targeting interventions for treating cancer patients. Moreover, compensatory growth-related processes and adaptive responses exhibited by heterogeneous tumor subpopulations to metabolic inhibitors are poorly understood. Here, by using clinically-relevant patient-derived glioblastoma (GBM) cell models, we explore the cross-talk between glycolysis, autophagy, and senescence in maintaining tumor stemness. We found that stem cell-like GBM tumor subpopulations possessed higher basal levels of glycolytic activity and increased expression of several glycolysis-related enzymes including, GLUT1/SLC2A1, PFKP, ALDOA, GAPDH, ENO1, PKM2, and LDH, compared to their non-stem-like counterparts. Importantly, bioinformatics analysis also revealed that the mRNA expression of glycolytic enzymes positively correlates with stemness markers (CD133/PROM1 and SOX2) in patient GBM tumors. While treatment with glycolysis inhibitors induced senescence in stem cell-like GBM tumor subpopulations, as evidenced by increased β-galactosidase staining and upregulation of the cell cycle regulators p21

Indexed as

Brain NeoplasmsGlioblastomaApoptosisAutophagyCell Line, TumorCell ProliferationCyclin-Dependent Kinase Inhibitor p16GlycolysisHumansNeoplastic Stem CellsUp-RegulationCyclin-Dependent Kinase Inhibitor p16AutophagyCancer stem cell-like cellsGlioblastomaGlycolysisMetabolismSenescenceTumor heterogeneity

Identifiers

PMID37420311
PMCPMC10327182
OpenAlexW4383534489

What OpenQuestion holds

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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.