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pmid:35579998

Intra-tumoral angiogenesis correlates with immune features and prognosis in glioma.

Qing Zhang · Yao-Xing Guo · Wan-Lin Zhang · Hai-Yan Lian · Natasha Iranzad · Endi Wang · Ying-Chun Li · Hai-Chao Tong · Le-Yao Li · Ling-Yun Dong · Lian-He Yang · Shuang Ma

Aging · 2022 doi:10.18632/aging.204079

Paper

complete

Experiment

complete

Data

partial

Analysis

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Execution

absent

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title
Intra-tumoral angiogenesis correlates with immune features and prognosis in glioma.
doi
10.18632/aging.204079
pmid
35579998
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Qing Zhang
[1]
Yao-Xing Guo
[2]
Wan-Lin Zhang
[3]
Hai-Yan Lian
[4]
Natasha Iranzad
[5]
Endi Wang
[6]
Ying-Chun Li
[7]
Hai-Chao Tong
[8]
Le-Yao Li
[9]
Ling-Yun Dong
[10]
Lian-He Yang
[11]
Shuang Ma
journal
Aging
year
2022
abstract
Gliomas are the most common malignant tumor in the brain. As with other tumors, the progression of glioma depends on intra-tumoral angiogenesis. However, the effect of angiogenesis on gliomas is still not fully understood. In this study, we developed an angiogenesis pathway score using Gene Set Variation Analysis (GSAV) in R to assess the status of intra-glioma angiogenesis in The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA mRNAseq_325, CGGA mRNA-array), and GSE16011 datasets. We found that the angiogenesis pathway score not only accurately predicted the prognosis of glioma patients, but also accurately distinguished the malignant phenotype and immune characteristics of gliomas. In addition, as an independent prognostic factor, the score could predict glioma sensitivity to radiotherapy and chemotherapy. In summary, we used the angiogenesis pathway score to reveal the relationship between glioma angiogenesis and the malignant phenotype, immune characteristics, and prognosis of glioma.
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The overall survival (OS) difference between the high- and low-score groups was determined using the Kaplan-Meier (KM) method of the survival R package. Univariate and multivariate Cox regression analyses were conducted using the survival package to assess the independence of the angiogenesis pathway score in predicting the OS of glioma patients.
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The overall survival (OS) difference between the high- and low-score groups was determined using the Kaplan-Meier (KM) method of the survival R package. Univariate and multivariate Cox regression analyses were conducted using the survival package to assess the independence of the angiogenesis pathway score in predicting the OS of glioma patients.
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The datasets used in this study can be downloaded from: http://www.cgga.org.cn/ (CGGA), https://portal.gdc.cancer.gov/ (TCGA), and https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE16011 (GSE16011).
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The datasets used in this study can be downloaded from: http://www.cgga.org.cn/ (CGGA), https://portal.gdc.cancer.gov/ (TCGA), and https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE16011 (GSE16011).
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Intrinsic Gene Expression Profiles of Gliomas are a Better Predictor of Survival than Histology
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[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:35579998
parent_hash
sha256:c522b26d56b6c0169aea99919b86867f1b0b61b29462736dd02507175d6b8d5b
fork_of
null
gaps array · 7 items
[0]
asset:data:geo:GSE16011 licence not read
[1]
asset:data:geo:GSE16011 not downloaded
[2]
execution.not_run
[3]
method.reader_differs_from_extractor
[4]
review.human_critique
[5]
review.independent_reader
[6]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
survival_km
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The overall survival (OS) difference between the high- and low-score groups was determined using the Kaplan-Meier (KM) method of the survival R package. Univariate and multivariate Cox regression analyses were conducted using the survival package to assess the independence of the angiogenesis pathway score in predicting the OS of glioma patients.
order_basis
analysis_only
id
assay:1
Complete file
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However, the effect of angiogenesis on gliomas is still not fully understood. In this study, we developed an angiogenesis pathway score using Gene Set Variation Analysis (GSAV) in R to assess the status of intra-glioma angiogenesis in The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA mRNAseq_325, CGGA mRNA-array), and GSE16011 datasets. We found that the angiogenesis pathway score not only accurately predicted the prognosis of glioma patients, but also accurately distinguished the malignant phenotype and immune characteristics of gliomas. In addition, as an independent prognostic factor, the score could predict glioma sensitivity to radiotherapy and chemotherapy. 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