Molecular profiling of glioblastoma-derived extracellular vesicles identifies small nucleolar RNAs as candidate liquid biomarkers for radiation-induced senescence

Abstract

Radiation-induced senescence (RIS) in glioblastoma (GBM) is an undesirable cell fate that reduces tumor cell death and supports resistance and outgrowth. While senescence-targeting drugs are promising adjuvants, their clinical application will require proper patient selection based on post-treatment RIS burden. Current methods to evaluate senescence, however, are tissue-based, and given GBMs difficult anatomical location, post-treatment biopsies are impractical. Innovative and less invasive biomarkers for RIS are urgently needed. To this end, we aimed to identify candidate extracellular vesicle (EV) liquid biomarkers for RIS by profiling senescence-associated cargo changes within GBM EVs. Using a panel of GBM patient-derived cell cultures, we show that RIS is the primary functional state following radiation exposure and is associated with significant alterations in the cargo of senescent-derived EVs (senEVs). In particular, senEV transcriptomes have an increased abundance of senescence-associated RNA genes and gene sets. Most striking, however, was that senEVs are most differentiated by the significant enrichment of a panel of snoRNAs. This signature was conserved in 4/5 GBM models of RIS and was validated by qRT-PCR. We further confirmed snoRNA enrichment in the senEVs of a breast cancer cell line, as well as the lack of snoRNA enrichment following senescence-independent drug exposure. Analysis by mass spectrometry revealed that snoRNAs are likely co-packaged with their associating proteins, as senEVs had concurrent increases in these binding partners. We examined whether packaging is associated with nucleolar stress during RIS, but found that upregulation in senEVs is likely due to a tightly controlled cellular abundance rather than nucleoli fragmentation and release of nucleolar components to the cytoplasm. Finally, using a preliminary cohort of longitudinal plasma samples from four GBM patients, we determined the feasibility of detecting senescence-associated and snoRNA species in the extracellular vesicles of patient biofluids. Of interest, post-treatment EVs had increased senescence-associated RNAs like CDKN2B and GLB1 and the snoRNA SNORA49. Altogether, this data suggests that senEV RNA species, and particularly snoRNAs, are a promising analyte for RIS-biomarker development. With further study, this work may open avenues for a companion diagnostic for senotherapeutics.