Brain radiotoxicity-related 15CAcBRT gene expression signature predicts survival prognosis of glioblastoma patients

Author:

Reyes-González Jesús1,Barajas-Olmos Francisco2,García-Ortiz Humberto2,Magraner-Pardo Lorena3,Pons Tirso4,Moreno Sergio5,Aguirre-Cruz Lucinda6,Reyes-Abrahantes Andy1,Martínez-Hernández Angélica2,Contreras-Cubas Cecilia2,Barrios-Payan Jorge7,Ruiz-Garcia Henry8,Hernandez-Pando Rogelio7,Quiñones-Hinojosa Alfredo8,Orozco Lorena2,Abrahantes-Pérez María del Carmen1ORCID

Affiliation:

1. Precision Translational Oncology Laboratory, National Institute of Genomic Medicine , Mexico City , Mexico

2. Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine , Mexico City , Mexico

3. Gene Function Team, The Institute of Cancer Research (ICR) , London , UK

4. Department of Immunology and Oncology, National Center for Biotechnology, Spanish National Research Council (CNB-CSIC) , Madrid , Spain

5. Radioneurosurgery Unit, National Institute of Neurology and Neurosurgery; Mexico City , Mexico

6. Neuroendocrinology Laboratory, National Institute of Neurology and Neurosurgery ; Mexico City , Mexico

7. Department of Pathology, National Institute of Medical Sciences and Nutrition Salvador Zubiran , Mexico City , Mexico

8. Department of Neurosurgery and Brain Tumor Stem Cell Research Laboratory, Mayo Clinic , Jacksonville, Florida, USA

Abstract

Abstract Background Glioblastoma is the most common and devastating primary brain cancer. Radiotherapy is standard of care; however, it is associated with brain radiation toxicity (BRT). This study used a multi-omics approach to determine whether BRT-related genes (RGs) harbor survival prognostic value and whether their encoded proteins represent novel therapeutic targets for glioblastoma. Methods RGs were identified through analysis of single-nucleotide variants associated with BRT (R-SNVs). Functional relationships between RGs were established using Protein-Protein Interaction networks. The influence of RGs and their functional groups on glioblastoma prognosis was evaluated using clinical samples from the Glioblastoma Bio-Discovery Portal database and validated using the Chinese Glioma Genome Atlas dataset. The identification of clusters of radiotoxic and putative pathogenic variants in proteins encoded by RGs was achieved by computational 3D structural analysis. Results We identified the BRT-related 15CAcBRT molecular signature with prognostic value in glioblastoma, by analysis of the COMT and APOE protein functional groups. Its external validation confirmed clinical relevance independent of age, MGMT promoter methylation status, and IDH mutation status. Interestingly, the genes IL6, APOE, and MAOB documented significant gene expression levels alteration, useful for drug repositioning. Biological networks associated with 15CAcBRT signature involved pathways relevant to cancer and neurodegenerative diseases. Analysis of 3D clusters of radiotoxic and putative pathogenic variants in proteins coded by RGs unveiled potential novel therapeutic targets in neuro-oncology. Conclusions 15CAcBRT is a BRT-related molecular signature with prognostic significance for glioblastoma patients and represents a hub for drug repositioning and development of novel therapies.

Funder

National Institute of Genomic Medicine, Mexico

EMBO Short-Term Fellowship 8374

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Neurology (clinical),Oncology

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