Evidence map›Paper›PMID 42249233›Full record

ArticleDiscover oncology2026

Single cell and spatial atlas of macrophage and astrocyte interactions in glioblastoma.

Mengge Gao, Qiong Liu, Bo Yang, Xiaofang Liu

Abstract read
In one paragraph

Article in Discover oncology, 2026. 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

4 authors.

Mengge GaoDepartment of Clinical Nutrition, Huadu District People's Hospital of Guangzhou, Guangzhou, China.
Qiong LiuDepartment of Clinical Nutrition, Huadu District People's Hospital of Guangzhou, Guangzhou, China.
Bo YangDepartment of Clinical Nutrition, Huadu District People's Hospital of Guangzhou, Guangzhou, China.
Xiaofang LiuDepartment of Clinical Nutrition, Huadu District People's Hospital of Guangzhou, Guangzhou, China. 924273335@qq.com.

Funding

Huadu District People's Hospital of Guangzhou Internal Research Fund Project 2024C01
6 · The paper itself

Abstract

backgroundGlioblastoma (GBM) exhibits pronounced intratumoral heterogeneity, yet the interactions between macrophages and astrocyte-like (AC-like) cells remain incompletely understood.

methodsWe analyzed single-cell RNA sequencing data from 10 GBM patients, performing clustering with Seurat and Harmony, copy number variation to distinguish malignant cells, and trajectory inference to map lineage relationships. CellChat was applied to predict intercellular signaling, while CellTrek reconstructed spatial co-localization. Prognostic significance of identified key subpopulations was evaluated using Cox regression analysis.

resultsThirteen cell subtypes were identified in GBM, including four macrophage clusters (e.g., Macro_CCL3, Macro_C1QL1) and eight AC-like clusters (e.g., AClike_RGCC, AClike_SLC7A5). Macro_C1QL1 and AClike_SLC7A5 were enriched in malignant regions and correlated with poor prognosis. Intercellular communication analysis indicated that Macro_C1QL1 and AClike_SLC7A5 cells engage in strengthened APP-CD74 signaling, emphasizing the involvement of tumor-specific CypA and APP pathways. Spatial mapping confirmed their co-localization in tumor-dense areas, supporting niche-specific interactions.

conclusionThis study provides an integrated single-cell and spatial characterization of macrophage and AC-like cell crosstalk in GBM, identifying key signaling networks and potential therapeutic targets.

Indexed as

AC-like cellGlioblastomaMacrophagesSingle-cell and spatial transcriptomicsTumor microenvironment

Identifiers

PMID42249233
PMCPMC13469014

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.