Evidence map›Paper›PMID 40377747›Full record

ArticleDiscover oncology2025

Integrating multi-omics data to identify the role of Aggrephagy-related genes in tumor microenvironment and key tumorigenesis factors of GB from the perspective of single-cell sequencing.

Zipei Chen, Shengke Zhang, Chenglu Jiang, Lai Jiang, Haiqing Chen, Jinbang Huang, Jie Liu, Guanhu Yang, Xiufang Luo, Hao Chi and 1 more

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. 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. 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

11 authors.

Zipei Chen *Department of Oncology, Dazhou Central Hospital, Dazhou, 635000, China.
Shengke Zhang *Department of Clinical, Clinical Medical College, Southwest Medical University, Luzhou, 646000, China.
Chenglu Jiang *Department of Clinical, Clinical Medical College, Southwest Medical University, Luzhou, 646000, China.
Lai Jiang *Department of Clinical, Clinical Medical College, Southwest Medical University, Luzhou, 646000, China.
Haiqing ChenDepartment of Clinical, Clinical Medical College, Southwest Medical University, Luzhou, 646000, China.
Jinbang HuangDepartment of Clinical, Clinical Medical College, Southwest Medical University, Luzhou, 646000, China.
Jie LiuDepartment of Oncology, Dazhou Central Hospital, Dazhou, 635000, China.
Guanhu YangResearch Department, Swiss University of Traditional Chinese Medicine, 5330, Bad Zurzach, Switzerland.
Xiufang LuoGeriatric Department, Dazhou Central Hospital, Dazhou, 635000, China. 278480383@qq.com.
Hao ChiDepartment of Clinical, Clinical Medical College, Southwest Medical University, Luzhou, 646000, China. chihao7511@163.com.
Jiangping FuDepartment of Oncology, Dazhou Central Hospital, Dazhou, 635000, China. Fujiangping2006@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents a pioneering exploration into the role of aggrephagy-related genes (ARGs) in glioblastoma (GB), a kind of malignant tumor which is highly invasive and resistant to a series of therapy. Utilizing single-cell sequencing to dissect their influence on the tumor microenvironment (TME) and tumorigenesis. By applying non-negative matrix factorization for dimensionality reduction and clustering of single-cell data, distinct cellular subtypes within the TME influenced by ARGs were identified, uncovering their functions and interactions. The investigation extends to validating the prognostic significance of ARGs and their potential in predicting immunotherapy outcomes. Molecular docking analysis of key ARGs further highlights TUBA1C and UBB as promising therapeutic targets, offering novel insights into GB's complex biology and suggesting a targeted approach for therapy, which is characterized by some crucial pathways in our analysis, including PI3k-akt and TGF-beta pathways. This comprehensive single-cell level examination not only advances our understanding of aggrephagy's role in GB but also proposes new avenues for prognosis and treatment strategies, emphasizing the critical impact of ARGs on the TME and GB progression.

Indexed as

AggrephagyAggrephagy-related genesDrug targetGBMolecular dockingscRNA-seq

Identifiers

PMID40377747
PMCPMC12084465

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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.