Identification of an immunomodulatory lncRNA signature associated with immune cell reprogramming in high-grade glioma

High-grade gliomas (HGGs) are among the most aggressive brain tumors in pediatric, adolescent, and young adult (AYA) cancer patients, with a median survival of 12-15 months post-diagnosis. Their poor prognosis is driven by a highly immunosuppressive tumor immune microenvironment (TIME), which inhibits cytotoxic immune infiltration and anti-tumor response. This study investigated the involvement of long non-coding RNAs (lncRNAs) in shaping the immune phenotype of HGGs using two murine models: RCAS-PDGFb representing an immunosuppressive TME, and RCAS-BRAF V600E characterized by a signature more consistent with a pro-inflammatory TME. Transcriptomic analysis of tumor-infiltrating immune cells identified distinct lncRNA signatures associated with immunosuppressive and pro-inflammatory TMEs. Single-cell RNA sequencing and spatial transcriptomics supported context-dependent expression of these lncRNAs in high-grade glioma-associated immune cells, such as myeloid, T, and NK cells, and revealed their spatial distribution within the glioblastoma (GBM) TME. Several lncRNAs were enriched at the tumor edge and within necrotic regions in GBM patient samples, correlating with immunosuppression reprogramming and immune evasion mechanisms. These findings highlight specific immunomodulatory lncRNAs as potential players in the immunosuppressive glioma TME, and likely candidates for future studies aimed at developing novel therapeutic strategies to overcome immune suppression and improve clinical outcomes.

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Publication Details

Journal
Cancer Gene Therapy
Published
2025-06-17
DOI
https://doi.org/10.1038/s41417-025-00919-3
Citations
1
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.94

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article

Identification of an immunomodulatory lncRNA signature associated with immune cell reprogramming in high-grade glioma

Alessandro Canella, Prajwal Rajappa
1 citations
Cancer Gene Therapy
Cancer-related molecular mechanisms research
0.94
article

Identification of an immunomodulatory lncRNA signature associated with immune cell reprogramming in high-grade glioma

Alessandro Canella, Prajwal Rajappa
article en
1 citations

Abstract

High-grade gliomas (HGGs) are among the most aggressive brain tumors in pediatric, adolescent, and young adult (AYA) cancer patients, with a median survival of 12-15 months post-diagnosis. Their poor prognosis is driven by a highly immunosuppressive tumor immune microenvironment (TIME), which inhibits cytotoxic immune infiltration and anti-tumor response. This study investigated the involvement of long non-coding RNAs (lncRNAs) in shaping the immune phenotype of HGGs using two murine models: RCAS-PDGFb representing an immunosuppressive TME, and RCAS-BRAF V600E characterized by a signature more consistent with a pro-inflammatory TME. Transcriptomic analysis of tumor-infiltrating immune cells identified distinct lncRNA signatures associated with immunosuppressive and pro-inflammatory TMEs. Single-cell RNA sequencing and spatial transcriptomics supported context-dependent expression of these lncRNAs in high-grade glioma-associated immune cells, such as myeloid, T, and NK cells, and revealed their spatial distribution within the glioblastoma (GBM) TME. Several lncRNAs were enriched at the tumor edge and within necrotic regions in GBM patient samples, correlating with immunosuppression reprogramming and immune evasion mechanisms. These findings highlight specific immunomodulatory lncRNAs as potential players in the immunosuppressive glioma TME, and likely candidates for future studies aimed at developing novel therapeutic strategies to overcome immune suppression and improve clinical outcomes.

Cancer Gene TherapyVol. 32(7)
Nationwide Children's Hospital (US), The Ohio State University Wexner Medical Center (US)
National Institutes of Health, National Institute of Neurological Disorders and Stroke
Openalex Percentile: Top 24%
Cancer-related molecular mechanisms research
0.94
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