Understanding of molecular events underlying resistance and relapse in glioblastoma (GBM) is hampered due to lack of accessibility to resistant cells from patients undergone therapy. Therefore, we mimicked clinical scenario in an in vitro cellular model developed from five GBM grade IV primary patient samples and two cell lines. We show that upon exposure to lethal dose of radiation, a subpopulation of GBM cells, innately resistant to radiation, survive and transiently arrest in G2/M phase via inhibitory pCdk1(Y15). Although arrested, these cells show multinucleated and giant cell phenotype (MNGC). Significantly, we demonstrate that these MNGCs are not pre-existing giant cells from parent population but formed via radiation-induced homotypic cell fusions among resistant cells. Furthermore, cell fusions induce senescence, high expression of senescence-associated secretory proteins (SASPs) and activation of pro-survival signals (pAKT, BIRC3 and Bcl-xL) in MNGCs. Importantly, following transient non-proliferation, MNGCs escape senescence and despite having multiple spindle poles during mitosis, they overcome mitotic catastrophe to undergo normal cytokinesis forming mononucleated relapse population. This is the first report showing radiation-induced homotypic cell fusions as novel non-genetic mechanism in radiation-resistant cells to sustain survival. These data also underscore the importance of non-proliferative phase in resistant glioma cells. Accordingly, we show that pushing resistant cells into premature mitosis by Wee1 kinase inhibitor prevents pCdk1(Y15)-mediated cell cycle arrest and relapse. Taken together, our data provide novel molecular insights into a multistep process of radiation survival and relapse in GBM that can be exploited for therapeutic interventions.
Background Residual disease of glioblastoma (GBM) causes recurrence. However, targeting residual cells have failed due to their inaccessibility and our lack of understanding their survival mechanisms to radiation therapy. Here we deciphered residual cell specific survival mechanism essential for GBM relapse. Methods Therapy Resistant Residual (RR) cells were captured from primary patient samples and cell line models mimicking clinical scenario of radiation resistance. Molecular signaling of resistance in RR cells was identified using RNA sequencing, genetic and pharmacological perturbations, overexpression systems, molecular and biochemical assays. Findings were validated in patient samples and orthotopic mouse model. Results RR cells form more aggressive tumors than the parental cells in orthotopic mouse model. Upon radiation-induced damage, RR cells preferentially activated non homologous end joining (NHEJ) repair pathway, up-regulating Ku80 and Artemis while down-regulating of Mre11 at protein but not RNA levels. Mechanistically, RR cells upregulate SETMAR, mediating high levels of H3K36me2 and global euchromatization. High H3K36me2 leads to efficiently recruiting NHEJ proteins. Conditional knockdown of SETMAR in RR cells induced irreversible senescence partly mediated by reduced H3K36me2. RR cells expressing mutant H3K36A could not retain Ku80 at DSBs thus, compromising NHEJ repair leading to apoptosis and abrogation of tumorigenicity in vitro and in vivo. Pharmacological inhibition of NHEJ pathway phenocopied H3K36 mutation effect, confirming dependency of RR cells on NHEJ pathway for their survival. Conclusions We demonstrate that SETMAR- NHEJ regulatory axis is essential for the survival of clinically relevant radiation resistant residual cells, abrogation of which prevents recurrence in GBM.
An inability to discern resistant cells from bulk tumour cell population contributes to poor prognosis in Glioblastoma. Here, we compared parent and recurrent cells generated from patient derived primary cultures and cell lines to identify their unique molecular hallmarks. Although morphologically similar, parent and recurrent cells from different samples showed variable biological properties like proliferation and radiation resistance. However, total RNA-sequencing revealed transcriptional landscape unique to parent and recurrent populations. These data suggest that global molecular differences but not individual biological phenotype could differentiate parent and recurrent cells. We demonstrate that Raman Spectroscopy a label-free, non-invasive technique, yields global information about biochemical milieu of recurrent and parent cells thus, classifying them into distinct clusters based on Principal-Component-Analysis and Principal-Component-Linear-Discriminant-Analysis. Additionally, higher lipid related spectral peaks were observed in recurrent population. Importantly, Raman spectroscopic analysis could further classify an independent set of naïve primary glioblastoma tumour tissues into non-responder and responder groups. Interestingly, spectral features from the non-responder patient samples show a considerable overlap with the in-vitro generated recurrent cells suggesting their similar biological behaviour. This feasibility study necessitates analysis of a larger cohort of naïve primary glioblastoma samples to fully envisage clinical utility of Raman spectroscopy in predicting therapeutic response.
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