Evidence map›Paper›PMID 39969703›Full record

ArticleDiscover oncology2025

Multidimensional analysis reveals gene expression, cell interactions, and signaling networks in glioma and Alzheimer's disease.

Meiyi Wang, Jie Yu, Dongfang Ge, Zhiwen Geng, Chengqun Wei, Dan Xu

Abstract read
PubMed Full text at PMC Publisher
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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Meiyi Wang *Department of General Practice, Heilongjiang Provincial Hospital, No. 82, Zhongshan Road, Harbin City, 150001, Heilongjiang Province, China.
Jie Yu *Department of Neurology, Heilongjiang Provincial Hospital, No. 82, Zhongshan Road, Harbin City, 150001, Heilongjiang Province, China.
Dongfang GeDepartment of Neurology, Huaian Hospital of Huaian City, No. 19, Shanyang Avenue, Huai'an District, Huai'an City, 223200, Jiangsu Province, China.
Zhiwen GengDepartment of Neurology, Huaian Hospital of Huaian City, No. 19, Shanyang Avenue, Huai'an District, Huai'an City, 223200, Jiangsu Province, China.
Chengqun WeiDepartment of Neurology, Huaian Hospital of Huaian City, No. 19, Shanyang Avenue, Huai'an District, Huai'an City, 223200, Jiangsu Province, China. weicqunhenan@hrbmu.edu.cn.
Dan XuDepartment of Neurology, Heilongjiang Provincial Hospital, No. 82, Zhongshan Road, Harbin City, 150001, Heilongjiang Province, China. xudanhlj@163.com.

Funding

the Heilongjiang Provincial Administration of Traditional Chinese Medicine No. ZHY2022-058
6 · The paper itself

Abstract

backgroundThis study employs a comprehensive approach using Genome-Wide Association Studies (GWAS), protein-protein interaction networks, gene co-expression networks, gene interaction networks, and centrality analysis to explore genetic and network interactions related to glioma and Alzheimer's disease.

methodsThrough detailed analysis of glioma single-cell data, we found that gene expression patterns are closely related to cell types and states. Principal Component Analysis (PCA) and dimensionality reduction techniques like UMAP and t-SNE reveal cell population heterogeneity and potential subgroups. This research also involved building machine learning models to classify glioma and assessing their performances, as well as a model that can best classify each type..

resultsWe investigated these cell interaction networks along with NRG signaling networks for glioma to discern cell-cell communication and signaling events. The SPP1 signaling pathway and gene expression analysis further triage the specific genes mediating the interactive role in glioma cells.

conclusionThis study presented a comprehensive view of gene expression, cell cell interactions and signaling networks in glioma, which might be a crucial piece to understand glioma complexity and usher in new therapeutic strategies across medical divisions.

Indexed as

Alzheimer’s diseaseCell interactionsGene expressionGliomaSignaling networks

Identifiers

PMID39969703
PMCPMC11839964

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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.