Evidence map›Paper›PMID 36230719›Full record

ArticleCancers2022

Microglia-Based Gene Expression Signature Highly Associated with Prognosis in Low-Grade Glioma.

Evelien Schaafsma, Chongming Jiang, Thinh Nguyen, Kenneth Zhu, Chao Cheng

Abstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Pro- vs. Anti-Inflammatory Features of Monocyte Subsets in Glioma Patients.International journal of molecular sciences · 2023
    Article
  8. Article
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.

Evelien SchaafsmaDepartment of Microbiology and Immunology, Dartmouth College, Hanover, NH 03755, USA.
Chongming JiangDepartment of Medicine, Baylor College of Medicine, Houston, TX 77054, USA.ORCID 0000-0003-2566-3313
Thinh NguyenDepartment of Medicine, Baylor College of Medicine, Houston, TX 77054, USA.
Kenneth ZhuMedical School, UT Southwestern Medical Center, Dallas, TX 77054, USA.
Chao ChengDepartment of Medicine, Baylor College of Medicine, Houston, TX 77054, USA.ORCID 0000-0002-5002-3417

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gliomas make up ~80% of malignant brain tumors in adults and are responsible for the majority of deaths from primary brain tumors. The glioma tumor microenvironment (TME) is a dynamic, heterogeneous mixture of extracellular matrix and malignant and non-malignant cells. Several ongoing clinical trials are evaluating the efficacy of therapies that target non-malignant cells, particularly immune cells. Consequently, a better understanding of the TME in glioma is pertinent. We utilized several gene expression datasets to evaluate the relationship between immune-related genes (IRGs) and patient prognosis. We generated microglia signatures using single-cell RNAseq data from human and mouse glioma cells to infer microglia abundance. Lastly, we built a LASSO Cox regression model that predicts patient survival. We found that 428 IRGs were negatively associated with survival in glioma patients. Overall survival was significantly lower in those with a high level of microglia infiltration. In addition, we also found that microglia abundance was significantly associated with several common genomic aberrations, including

Indexed as

glioblastomagliomamicrogliaprognosis

Identifiers

PMID36230719
PMCPMC9564275

What OpenQuestion holds

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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.