Evidence map›Paper›PMID 40873391›Full record

ArticleCancer science2025

ODC-Driven Polyamines Synthesis Sustains the Self-Renewal of Glioblastoma Stem Cells and Drives Tumor Aggressiveness.

Xue-Chen Wei, Hao-Qian Zhang, Guang-Qin Liu, Chang-Wei Liu, Ai-Ling Li, Xin Pan, Wei-Qun Yan, Jia-Yi Chen

Abstract read
In one paragraph

Article in Cancer science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Polyamine Metabolism in Brain Health and Disease.Neuropharmacology and therapy · 2026
    Article
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

8 authors.

Xue-Chen WeiSchool of Pharmaceutical Sciences, Jilin University, Changchun, China.
Hao-Qian ZhangNanhu Laboratory, National Center of Biomedical Analysis, Beijing, China.
Guang-Qin LiuNanhu Laboratory, National Center of Biomedical Analysis, Beijing, China.
Chang-Wei LiuNanhu Laboratory, National Center of Biomedical Analysis, Beijing, China.
Ai-Ling LiNanhu Laboratory, National Center of Biomedical Analysis, Beijing, China.
Xin PanNanhu Laboratory, National Center of Biomedical Analysis, Beijing, China.
Wei-Qun YanSchool of Pharmaceutical Sciences, Jilin University, Changchun, China.
Jia-Yi ChenNanhu Laboratory, National Center of Biomedical Analysis, Beijing, China.ORCID https://orcid.org/0009-0006-0930-7924

Funding

National Natural Science Foundation of China 82303549
6 · The paper itself

Abstract

Glioblastoma stem cells (GSCs) are crucial drivers of tumor progression and therapeutic resistance in glioblastoma multiforme (GBM), yet the molecular mechanisms maintaining their self-renewal remain incompletely understood. Here, we identify a critical role for polyamine metabolism in GSCs maintenance. We show that GSCs exhibit elevated polyamine levels compared to non-stem tumor cells, attributed to enhanced ornithine decarboxylase (ODC) expression. High ODC expression correlates with poor patient prognosis in GBM. Genetic and pharmacologic targeting of ODC attenuated GSCs self-renewal and tumorigenicity. Our findings reveal a previously unrecognized metabolic dependency of GSCs on polyamine synthesis, and ODC may be a potential therapeutic target in GBM.

Indexed as

Brain NeoplasmsGlioblastomaNeoplastic Stem CellsOrnithine DecarboxylasePolyaminesAnimalsCell Line, TumorCell ProliferationCell Self RenewalFemaleHumansMicePrognosisOrnithine DecarboxylasePolyaminesCRISPR‐Cas9glioblastoma stem cellsornithine decarboxylasepolyamine metabolismtherapeutic target

Identifiers

PMID40873391
PMCPMC12580865

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.