Evidence map›Paper›PMID 36761752›Full record

ArticleFrontiers in immunology2023

Integrative analysis of single-cell transcriptomics reveals age-associated immune landscape of glioblastoma.

Songang Wu, Xuewen Li, Fan Hong, Qiang Chen, Yingying Yu, Shuanghui Guo, Yuanyuan Xie, Naian Xiao, Xuwen Kong, Wei Mo and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. 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

13 authors at 2 institutions in 1 country.

Songang WuDepartment of Neurosurgery, the First Affiliated Hospital of Xiamen University, College of Chemistry and Chemical Engineering, Xiamen University, Fujian, China.
Xuewen LiDepartment of Neuroscience, Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen Key Laboratory of Brain Center, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Fujian, China.
Fan HongDepartment of Neuroscience, Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen Key Laboratory of Brain Center, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Fujian, China.
Qiang ChenDepartment of Neuroscience, Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen Key Laboratory of Brain Center, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Fujian, China.
Yingying YuDepartment of Neuroscience, Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen Key Laboratory of Brain Center, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Fujian, China.
Shuanghui GuoDepartment of Neuroscience, Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen Key Laboratory of Brain Center, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Fujian, China.
Yuanyuan XieDepartment of Neurosurgery, the First Affiliated Hospital of Xiamen University, College of Chemistry and Chemical Engineering, Xiamen University, Fujian, China.
Naian XiaoDepartment of Neurosurgery, the First Affiliated Hospital of Xiamen University, College of Chemistry and Chemical Engineering, Xiamen University, Fujian, China.
Xuwen KongDepartment of Automation, School of Aerospace Engineering, Xiamen University, Fujian, China.
Wei MoDepartment of Neuroscience, Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen Key Laboratory of Brain Center, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Fujian, China.
Zhanxiang WangDepartment of Neurosurgery, the First Affiliated Hospital of Xiamen University, College of Chemistry and Chemical Engineering, Xiamen University, Fujian, China.
Shaoxuan ChenDepartment of Neuroscience, Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen Key Laboratory of Brain Center, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Fujian, China.
Feng ZengDepartment of Neurosurgery, the First Affiliated Hospital of Xiamen University, College of Chemistry and Chemical Engineering, Xiamen University, Fujian, China.
First Affiliated Hospital of Xiamen University · CNXiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is the most malignant tumor in center nervous system. Clinical statistics revealed that senior GBM patients had a worse overall survival (OS) comparing with that of patients in other ages, which is mainly related with tumor microenvironment including tumor-associated immune cells in particular. However, the immune heterogeneity and age-related prognosis in GBM are under studied. Here we developed a machine learning-based method to integrate public large-scale single-cell RNA sequencing (scRNA-seq) datasets to establish a comprehensive atlas of immune cells infiltrating in cross-age GBM. We found that the compositions of the immune cells are remarkably different across ages. Brain-resident microglia constitute the majority of glioblastoma-associated macrophages (GAMs) in patients, whereas dramatic elevation of extracranial monocyte-derived macrophages (MDMs) is observed in GAMs of senior patients, which contributes to the worse prognosis of aged patients. Further analysis suggests that the increased MDMs arisen from excessive recruitment and proliferation of peripheral monocytes not only lead to the T cell function inhibition in GBM, but also stimulate tumor cells proliferation

Indexed as

GlioblastomaAgedGene Expression ProfilingHumansMacrophagesMicrogliaTranscriptomeTumor MicroenvironmentageGBMimmune microenvironmentmonocyte-derived macrophage (MDM)single-cell RNA sequencing (scRNA-seq)tumor heterogeneity

Identifiers

PMID36761752
PMCPMC9903136
OpenAlexW4317884327

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.