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pmid:36538194

Identification of key genes of anti-programmed death ligand 1 for meningioma immunotherapy by bioinformatic analysis.

Lijian Zhang · Luxuan Wang · Yanli Tan · Chunhui Li · Chuan Fang

Medical oncology (Northwood, London, England) · 2022 doi:10.1007/s12032-022-01869-8

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:36538194
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science-record
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created_at
2026-11-01T19:01:04Z
updated_at
2026-11-01T22:08:22Z
generator object · 2 fields
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paper object · 10 fields
state
complete
title
Identification of key genes of anti-programmed death ligand 1 for meningioma immunotherapy by bioinformatic analysis.
doi
10.1007/s12032-022-01869-8
pmid
36538194
authors array · 5 items
[0]
Lijian Zhang
[1]
Luxuan Wang
[2]
Yanli Tan
[3]
Chunhui Li
[4]
Chuan Fang
journal
Medical oncology (Northwood, London, England)
year
2022
abstract
Meningioma is one of the most common primary tumors in the central nervous system (CNS). A deeper understanding of its molecular characterization could provide potential therapeutic targets to reduce recurrence. In this study, we attempted to identify specific gene mutations in meningioma for immunotherapy. One GSE43290 dataset was obtained from the Gene Expression Omnibus (GEO) database to find differentially expressed genes (DEGs) between meningioma tissues and normal meninges. In total, 420 DEGs were identified, including 15 up-regulated and 405 down-regulated genes. Functional enrichment analysis showed that these DEGs were mainly enriched in PI3K-Akt signaling pathway, Focal adhesion, and MAPK signaling pathway. We identified 20 hub genes by protein-protein interaction (PPI) analysis. Among the hub genes, the expression of FLT1, CXCL8, JUN, THBS1, FECAM1, CD34, and FGF13 were negatively correlated with Programmed Death Ligand-1 (PD-L1). Additionally, the expression of those genes was co-regulated by miR-155-5p. The findings suggest that miR-155-5p play an important role in the pathogenesis of meningioma and may represent potential therapeutic targets for its anti-PD-L1 immunotherapy.
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The expression profiles of DEGs were obtained with GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/) [18]. Genes with |log2FC|> 2 and P value < 0.05 were selected as DEGs.
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methodological
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sections[4] "Data processing" paragraph 2
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The expression profiles of DEGs were obtained with GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/) [18]. Genes with |log2FC|> 2 and P value < 0.05 were selected as DEGs.
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The datasets are available in the National Center of Biotechnology Information (NCBI) GEO (https://www.ncbi.nlm.nih.gov/geo/). one datasets GSE43290 was used in the present study.
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methodological
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sections[24] "Data availability" paragraph 2
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The datasets are available in the National Center of Biotechnology Information (NCBI) GEO (https://www.ncbi.nlm.nih.gov/geo/). one datasets GSE43290 was used in the present study.
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The study identified 420 differentially expressed genes between meningioma tissues and normal meninges, including 15 up-regulated and 405 down-regulated genes.
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sections[0] "Abstract" paragraph 1
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In total, 420 DEGs were identified, including 15 up-regulated and 405 down-regulated genes.
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experiment object · 8 fields
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The study identified 420 differentially expressed genes between meningioma tissues and normal meninges, including 15 up-regulated and 405 down-regulated genes.
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The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
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10.1007/s12032-022-01869-8
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Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
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The datasets are available in the National Center of Biotechnology Information (NCBI) GEO (https://www.ncbi.nlm.nih.gov/geo/). one datasets GSE43290 was used in the present study.
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The datasets are available in the National Center of Biotechnology Information (NCBI) GEO (https://www.ncbi.nlm.nih.gov/geo/). one datasets GSE43290 was used in the present study.
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GSM1060115
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51
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96
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Homo sapiens
title
Expression data from meningiomas and normal meninges
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2026-11-01T18:46:34Z
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identifier_resolution_only_no_download_no_licence_read
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protein-protein interaction
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GEO2R differential-expression analysis, with genes selected using |log2FC| > 2 and P value < 0.05.
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The expression profiles of DEGs were obtained with GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/) [18]. Genes with |log2FC|> 2 and P value < 0.05 were selected as DEGs.
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Automated Assays Laravel application and simulated adapters
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owned
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The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
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The datasets are available in the National Center of Biotechnology Information (NCBI) GEO (https://www.ncbi.nlm.nih.gov/geo/). one datasets GSE43290 was used in the present study.
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The paper names GSE43290 in National Center of Biotechnology Information (NCBI) GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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Complete file
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A deeper understanding of its molecular characterization could provide potential therapeutic targets to reduce recurrence. In this study, we attempted to identify specific gene mutations in meningioma for immunotherapy. One GSE43290 dataset was obtained from the Gene Expression Omnibus (GEO) database to find differentially expressed genes (DEGs) between meningioma tissues and normal meninges. In total, 420 DEGs were identified, including 15 up-regulated and 405 down-regulated genes. Functional enrichment analysis showed that these DEGs were mainly enriched in PI3K-Akt signaling pathway, Focal adhesion, and MAPK signaling pathway. We identified 20 hub genes by protein-protein interaction (PPI) analysis. Among the hub genes, the expression of FLT1, CXCL8, JUN, THBS1, FECAM1, CD34, and FGF13 were negatively correlated with Programmed Death Ligand-1 (PD-L1). Additionally, the expression of those genes was co-regulated by miR-155-5p. 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