Evidence map›Paper›PMID 40963732›Full record

ArticleJournal of clinical biochemistry and nutrition2025

Single-cell sequencing analysis reveals the promotion of ELR CXCL genes on angiogenesis and the influence on malignant progression in glioblastoma.

Fanyong Gong, Yi Huang, Junjun Zhang, Jianfei Zhang, Haifeng Wang

Abstract read
In one paragraph

Article in Journal of clinical biochemistry and nutrition, 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

5 authors.

Fanyong GongDepartment of Neurosurgery, Ningbo Key Laboratory of Neurological Diseases and Brain Function, The First Affiliated Hospital of Ningbo University, No. 59 Liuting Street, Ningbo City, Zhejiang Province 315010, China.
Yi HuangDepartment of Neurosurgery, Ningbo Key Laboratory of Neurological Diseases and Brain Function, The First Affiliated Hospital of Ningbo University, No. 59 Liuting Street, Ningbo City, Zhejiang Province 315010, China.
Junjun ZhangDepartment of Neurosurgery, Ningbo Key Laboratory of Neurological Diseases and Brain Function, The First Affiliated Hospital of Ningbo University, No. 59 Liuting Street, Ningbo City, Zhejiang Province 315010, China.
Jianfei ZhangDepartment of Neurosurgery, Ningbo Key Laboratory of Neurological Diseases and Brain Function, The First Affiliated Hospital of Ningbo University, No. 59 Liuting Street, Ningbo City, Zhejiang Province 315010, China.
Haifeng WangDepartment of Neurosurgery, Ningbo Key Laboratory of Neurological Diseases and Brain Function, The First Affiliated Hospital of Ningbo University, No. 59 Liuting Street, Ningbo City, Zhejiang Province 315010, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is a highly aggressive cancer that significantly impacts human health. Myeloid cells and bone marrow-derived macrophages (BMDMs) are major components of tumor microenvironment; however, their roles in GBM tumorigenesis, progression, and treatment response remain unclear due to considerable heterogeneity. Single-cell sequencing data for GBM were collected from the Gene Expression Omnibus (GEO) database to analyze the heterogeneity of GBM cell subpopulations. Trends in myeloid cell subpopulations were examined, identifying cancer-associated BMDMs and key genes that were specifically overexpressed in this subgroup. Validation was performed through experiments

Indexed as

angiogenesisELR CXCL genesglioblastomamalignant progressionsingle-cell sequencing

Identifiers

PMID40963732
PMCPMC12440671

What OpenQuestion holds

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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.