Evidence map›Paper›PMID 40715662›Full record

ArticleDiscover oncology2025

Comprehensive analysis of the clinical and biological significances of polyamine metabolism in glioma.

Fei Bai, Kexin Zhai, Tiantian Yao, Yuxia Zhou, Yongxiang Zhao, Guanghui Yang

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Fei BaiDepartment of neurological intensive care unit, Nanyang Central Hospital, Nanyang, Henan, China. bf80182024@163.com.
Kexin ZhaiWuhan Britain-China School, Wuhan, 43002, Hubei, China.
Tiantian YaoDepartment of Chinese acupuncture, Nanyang Central Hospital, Nanyang, Henan, China.
Yuxia ZhouDepartment of neurological intensive care unit, Nanyang Central Hospital, Nanyang, Henan, China.
Yongxiang ZhaoThe First People's Hospital of Jiaozuo, Jiaozuo, 454000, Henan Province, China.
Guanghui YangThe First Affiliated Hospital of Henan University of Science and Technology, Luoyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polyamines, including spermidine, spermine, and putrescine, are polycationic alkylamines in mammalian cells. However, the prognostic impact of polyamine in glioma remains unclear. In the present study, we performed bioinformatic analysis to characterize the expression of polyamine metabolism family members in patients with glioma. A prognostic gene model was conducted based on the 13 prognostic polyamine metabolism genes. The nomogram exhibited excellent performance in predicting the survival rates of glioma patients. Enrichment analysis showed that the characteristics of genes related to polyamine metabolism affected glioma in many ways, especially related to tumor inflammation, hypoxia and IL6/JAK/STAT3 pathway. In vitro experiments demonstrated that targeting SMS protein could effectively inhibit the proliferation and invasion of glioma cells. What's more, IHC staining was conducted on glioma tissue microarrays to confirm the expression patterns of genes related to polyamine metabolism in glioma tissues. In summary, polyamine metabolism is a powerful prognostic indicator and can be used as a promising target to strengthen the personalized treatment of glioma.The developed system can improve our understanding of the role of polyamine metabolism in gliomas, paving the way for more precise and effective treatment strategies.

Indexed as

BioinformaticGliomaPolyamine metabolismPrognostic model

Identifiers

PMID40715662
PMCPMC12301286

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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.