Abstract 4794: Prognostic relevance of angiogenesis-associated genes in gliomas: Influence of idh/1p19q status and opportunities for antiangiogenic immunotherapy strategies

Abstract Background: Angiogenesis, the formation of new blood vessels, is central to glioma progression and supports tumor growth and invasion. Early identification of aggressive biology in lower-grade gliomas (LGG) is essential for guiding treatment decisions. We developed an immune-oriented angiogenesis gene signature that characterizes aggressive tumor phenotypes in LGG and glioblastoma (GBM). The study also evaluates its association with key glioma biomarkers, including IDH mutations and 1p/19q co-deletions, and assesses its prognostic relevance across both tumor types. Objective: To develop and validate an immune-oriented angiogenesis gene signature that identifies aggressive glioma biology, predicts patient prognosis in LGG and GBM, and evaluates its relationship with IDH mutation and 1p/19q co-deletion status. Methods: We analyzed LGG and GBM samples from The Cancer Genome Atlas (TCGA). Immune infiltration levels were estimated using EPIC, and samples were classified into high and low infiltration groups. Differentially expressed genes between these groups were identified, followed by Weighted Gene Co-expression Network Analysis (WGCNA) to cluster co-expressed genes into modules. Fisher’s exact test was used to assess enrichment of WGCNA module genes within the Hallmark Angiogenesis gene set, prioritizing overlapping genes. Associations with IDH status, 1p/19q co-deletion, and patient survival were evaluated using Cox regression, Kaplan-Meier analysis, and time-dependent ROC curves. Validation was performed in the Chinese Glioma Genome Atlas (CGGA) and two single-cell datasets (pLGG: GSE222850; GBM: GSE138794). Results: The derived immune-oriented angiogenesis signature was significantly associated with IDH mutation and 1p/19q subtypes (Adj. p ≤ 0.05) and strongly predicted patient outcomes. Higher signature expression correlated with poorer survival and remained independently prognostic in multivariate analyses (e.g., TCGA LGG p = 3.28×10-7; CGGA LGG p = 1.08×10-8). The signature showed strong predictive accuracy in time-dependent ROC analyses (TCGA LGG AUCs: 1-year 0.959, 3-year 0.873, 5-year 0.812). Gene expression patterns observed in LGG showed a progressive trend consistent with certain GBM subgroups. In single-cell datasets, most genes showed significant differential expression between high and low immune infiltration groups (Adj. p ≤ 0.05). Conclusion: We identified and validated an immune-oriented angiogenesis gene signature that integrates genetic, molecular, and clinical features across gliomas. The signature demonstrates strong prognostic value in both LGG and GBM and reflects increasing angiogenic activity along glioma progression. This gene set may serve as a practical tool for patient risk stratification and offers potential targets for future therapeutic strategies. Citation Format: Pijush Das, Kevin A. Camphausen, Uma Shankavaram. Prognostic relevance of angiogenesis-associated genes in gliomas: Influence of idh/1p19q status and opportunities for antiangiogenic immunotherapy strategies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4794.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-4794
Primary Topic
Ferroptosis and cancer prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4794: Prognostic relevance of angiogenesis-associated genes in gliomas: Influence of idh/1p19q status and opportunities for antiangiogenic immunotherapy strategies

K. Camphausen, Uma Shankavaram, Pijush K. Das
Cancer Research
Ferroptosis and cancer prognosis
article

Abstract 4794: Prognostic relevance of angiogenesis-associated genes in gliomas: Influence of idh/1p19q status and opportunities for antiangiogenic immunotherapy strategies

K. Camphausen, Uma Shankavaram, Pijush K. Das
article en

Abstract

Abstract Background: Angiogenesis, the formation of new blood vessels, is central to glioma progression and supports tumor growth and invasion. Early identification of aggressive biology in lower-grade gliomas (LGG) is essential for guiding treatment decisions. We developed an immune-oriented angiogenesis gene signature that characterizes aggressive tumor phenotypes in LGG and glioblastoma (GBM). The study also evaluates its association with key glioma biomarkers, including IDH mutations and 1p/19q co-deletions, and assesses its prognostic relevance across both tumor types. Objective: To develop and validate an immune-oriented angiogenesis gene signature that identifies aggressive glioma biology, predicts patient prognosis in LGG and GBM, and evaluates its relationship with IDH mutation and 1p/19q co-deletion status. Methods: We analyzed LGG and GBM samples from The Cancer Genome Atlas (TCGA). Immune infiltration levels were estimated using EPIC, and samples were classified into high and low infiltration groups. Differentially expressed genes between these groups were identified, followed by Weighted Gene Co-expression Network Analysis (WGCNA) to cluster co-expressed genes into modules. Fisher’s exact test was used to assess enrichment of WGCNA module genes within the Hallmark Angiogenesis gene set, prioritizing overlapping genes. Associations with IDH status, 1p/19q co-deletion, and patient survival were evaluated using Cox regression, Kaplan-Meier analysis, and time-dependent ROC curves. Validation was performed in the Chinese Glioma Genome Atlas (CGGA) and two single-cell datasets (pLGG: GSE222850; GBM: GSE138794). Results: The derived immune-oriented angiogenesis signature was significantly associated with IDH mutation and 1p/19q subtypes (Adj. p ≤ 0.05) and strongly predicted patient outcomes. Higher signature expression correlated with poorer survival and remained independently prognostic in multivariate analyses (e.g., TCGA LGG p = 3.28×10-7; CGGA LGG p = 1.08×10-8). The signature showed strong predictive accuracy in time-dependent ROC analyses (TCGA LGG AUCs: 1-year 0.959, 3-year 0.873, 5-year 0.812). Gene expression patterns observed in LGG showed a progressive trend consistent with certain GBM subgroups. In single-cell datasets, most genes showed significant differential expression between high and low immune infiltration groups (Adj. p ≤ 0.05). Conclusion: We identified and validated an immune-oriented angiogenesis gene signature that integrates genetic, molecular, and clinical features across gliomas. The signature demonstrates strong prognostic value in both LGG and GBM and reflects increasing angiogenic activity along glioma progression. This gene set may serve as a practical tool for patient risk stratification and offers potential targets for future therapeutic strategies. Citation Format: Pijush Das, Kevin A. Camphausen, Uma Shankavaram. Prognostic relevance of angiogenesis-associated genes in gliomas: Influence of idh/1p19q status and opportunities for antiangiogenic immunotherapy strategies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4794.

Cancer ResearchVol. 86(7_Supplement)
National Institutes of Health (US), National Cancer Institute (US)
Good health and well-being
Openalex Percentile: Top 5%
Ferroptosis and cancer prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.