Human endogenous retroviruses (HERVs) associated with glioblastoma risk and prognosis

Emerging evidence suggests expression from human endogenous retrovirus (HERV) loci likely contributes to, or is a biomarker of, glioblastoma multiforme (GBM) disease progression. However, the relationship between HERV expression and GBM malignant phenotype is unclear. Applying several in silico analyses based on data from The Cancer Genome Atlas (TCGA), we derived a locus-specific HERV transcriptome for glioma that revealed 211 HERVs significantly dysregulated in the comparisons of GBM vs. normal brain (NB), GBM vs. low-grade glioma (LGG), and LGG vs. NB. Our analysis supported development of a unique HERV scoring algorithm that segregated GBM, LGG, and NB. Interestingly, lower HERV scores showed correlation with lower survival in GBM. However, HERV scores were less robust in predicting LGG survival or LGG progression to GBM. Functional prediction analysis linked the 211 HERV loci with 18 voltage-gated potassium channel genes. The functional link between dysregulated HERVs and specific potassium channel genes may contribute to better understanding of GBM pathogenesis, disease progression, and possibly drug resistance.

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Publication Details

Journal
Cancer Gene Therapy
Published
2025-05-19
DOI
https://doi.org/10.1038/s41417-024-00868-3
Citations
2
Primary Topic
Chromosomal and Genetic Variations
Type
article
Field-Weighted Citation Impact
3.50

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article

Human endogenous retroviruses (HERVs) associated with glioblastoma risk and prognosis

Erik K. Flemington, Diana Polanía-Villanueva, David Adeiza Otohinoyi, Francesca Peruzzi et al.
2 citations
Cancer Gene Therapy
Chromosomal and Genetic Variations
3.50
article

Human endogenous retroviruses (HERVs) associated with glioblastoma risk and prognosis

Erik K. Flemington, Diana Polanía-Villanueva, David Adeiza Otohinoyi, Francesca Peruzzi, Chindo Hicks, Hui‐Yi Lin, Monika Rak, Zbigniew Madeja, Habibul Hasan Mazumder, Victoria P. Belancio, Wojciech Gałan, Melody Baddoo, Krzysztof Reiss
article en
2 citations

Abstract

Emerging evidence suggests expression from human endogenous retrovirus (HERV) loci likely contributes to, or is a biomarker of, glioblastoma multiforme (GBM) disease progression. However, the relationship between HERV expression and GBM malignant phenotype is unclear. Applying several in silico analyses based on data from The Cancer Genome Atlas (TCGA), we derived a locus-specific HERV transcriptome for glioma that revealed 211 HERVs significantly dysregulated in the comparisons of GBM vs. normal brain (NB), GBM vs. low-grade glioma (LGG), and LGG vs. NB. Our analysis supported development of a unique HERV scoring algorithm that segregated GBM, LGG, and NB. Interestingly, lower HERV scores showed correlation with lower survival in GBM. However, HERV scores were less robust in predicting LGG survival or LGG progression to GBM. Functional prediction analysis linked the 211 HERV loci with 18 voltage-gated potassium channel genes. The functional link between dysregulated HERVs and specific potassium channel genes may contribute to better understanding of GBM pathogenesis, disease progression, and possibly drug resistance.

Cancer Gene TherapyVol. 32(6)
Tulane University (US), Jagiellonian University (PL), Institut thématique Génétique, génomique et bioinformatique (FR), Louisiana Cancer Research Center (US), Louisiana State University Health Sciences Center New Orleans (US)
Louisiana State University, National Institutes of Health, National Institute of General Medical Sciences
Good health and well-being
Openalex Percentile: Top 8%
Chromosomal and Genetic Variations
3.50
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