[HTML][HTML] Dynamic inosinome profiles reveal novel patient stratification and gender-specific differences in glioblastoma

DA Silvestris, E Picardi, V Cesarini, B Fosso… - Genome biology, 2019 - Springer
DA Silvestris, E Picardi, V Cesarini, B Fosso, N Mangraviti, L Massimi, M Martini, G Pesole
Genome biology, 2019Springer
Background Adenosine-to-inosine (A-to-I) RNA editing is an essential post-transcriptional
mechanism mediated by ADAR enzymes that have been recently associated with cancer.
Results Here, we characterize the inosinome signature in normal brain and de novo
glioblastoma (GBM) using new metrics that re-stratify GBM patients according to their editing
profiles and indicate this post-transcriptional event as a possible molecular mechanism for
sexual dimorphism in GBM. We find that over 85% of de novo GBMs carry a deletion …
Background
Adenosine-to-inosine (A-to-I) RNA editing is an essential post-transcriptional mechanism mediated by ADAR enzymes that have been recently associated with cancer.
Results
Here, we characterize the inosinome signature in normal brain and de novo glioblastoma (GBM) using new metrics that re-stratify GBM patients according to their editing profiles and indicate this post-transcriptional event as a possible molecular mechanism for sexual dimorphism in GBM. We find that over 85% of de novo GBMs carry a deletion involving the genomic locus of ADAR3, which is specifically expressed in the brain. By analyzing RNA editing and patient outcomes, an intriguing gender-dependent link appears, with high editing of Alus shown to be beneficial only in male patients. We propose an inosinome-based molecular stratification of GBM patients that identifies two different GBM subgroups, INO-1 and INO-2, which can identify novel high-risk gender-specific patient groups for which more aggressive treatments may be necessary.
Conclusions
Our data provide a detailed picture of RNA editing landscape in normal brain and GBM, exploring A-to-I RNA editing regulation, disclosing unexpected editing implications for GBM patient stratification and identification of gender-dependent high-risk patients, and suggesting COG3 I/V as an eligible site for future personalized targeted gene therapy.
Springer