Evidence map›Paper›PMID 39136841›Full record

ArticleClinical and experimental medicine2024

Integrative single-cell and bulk transcriptome analyses identify a distinct pro-tumor macrophage signature that has a major prognostic impact on glioblastomas.

Peilin Li, Guolei Su, Yinglin Cui

Abstract read
In one paragraph

Article in Clinical and experimental medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
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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

3 authors.

Peilin LiSecond Clinical Medical College, Henan University of Traditional Chinese Medicine, Zhengzhou, 450002, China.
Guolei SuThe Second Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, 450002, China.
Yinglin CuiThe Second Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, 450002, China. 415286957@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is a highly heterogeneous disease with poor clinical outcomes. To comprehensively dissect the molecular landscape of GBM and heterogeneous macrophage clusters in the progression of GBM, this study integrates single-cell and bulk transcriptome data to recognize a distinct pro-tumor macrophage cluster significantly associated with the prognosis of GBM and develop a GBM prognostic signature to facilitate prior subtypes. Leveraging glioma single-cell sequencing data, we identified a novel pro-tumor macrophage subgroup, marked by S100A9, which might interact with endothelial cells to facilitate tumor progression via angiogenesis. To further benefit clinical application, a prognostic signature was established with the genes associated with pro-tumor macrophages. Patients classified within the high-risk group characterized with enrichment in functions related to tumor progression, including epithelial-mesenchymal transition and hypoxia, displays elevated mutations in the TERT promoter region, reduced methylation in the MGMT promoter region, poorer prognoses, and diminished responses to temozolomide therapy, thus effectively discriminating between the prognostic outcomes of GBM patients. Our research sheds light on the intricate microenvironment of gliomas and identifies potential molecular targets for the development of novel therapeutic approaches.

Indexed as

Gene Expression ProfilingGlioblastomaSingle-Cell AnalysisBrain NeoplasmsDNA MethylationDNA Modification MethylasesDNA Repair EnzymesGene Expression Regulation, NeoplasticHumansMacrophagesPrognosisTelomeraseTemozolomideTranscriptomeTumor-Associated MacrophagesTumor MicroenvironmentDNA Modification MethylasesDNA Repair EnzymesMGMT protein, humanTelomeraseTemozolomideTERT protein, humanTumor Suppressor ProteinsGlioblastomaMacrophageS100A9SignatureSingle cell

Identifiers

PMID39136841
PMCPMC11322272

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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.