Single-cell based elucidation of molecularly-distinct glioblastoma states and drug sensitivity
Ding, H.; Burgenske, D. M.; Zhao, W.; Subramaniam, P. S.; Bakken, K. K.; He, L.; Alvarez, M. J.; Laise, P.; Paull, E. O.; Spinazzi, E. F.; Dovas, A.; Marie, T.; Upadhyayula, P.; Dela Cruz, F.; Diolaiti, D.; Kung, A.; Bruce, J. N.; Canoll, P.; Sims, P. A.; Sarkaria, J. N.; Califano, A.
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Glioblastoma heterogeneity and plasticity remain controversial, with proposed subtypes representing the average of highly heterogeneous admixtures of independent transcriptional states. Single-cell, protein-activity-based analysis allowed full quantification of >6,000 regulatory and signaling proteins, thus providing a previously unattainable single-cell characterization level. This helped identify four novel, molecularly distinct subtypes that successfully harmonize across multiple GBM datasets, including previously published bulk and single-cell profiles and single cell profiles from seven orthotopic PDX models, representative of prior subtype diversity. GBM is thus characterized by the plastic coexistence of single cells in two mutually-exclusive developmental lineages, with additional stratification provided by their proliferative potential. Consistently, all previous subtypes could be recapitulated by single-cell mixtures drawn from newly identified states. Critically, drug sensitivity was predicted and validated as highly state-dependent, both in single-cell assays from patient-derived explants and in PDX models, suggesting that successful treatment requires combinations of multiple drugs targeting these distinct tumor states.\n\nSignificanceWe propose a new, 4-subtype GBM classification, which harmonizes across bulk and single-cell datasets. Single-cell mixtures from these subtypes effectively recapitulate all prior classifications, suggesting that the latter are a byproduct of GBM heterogeneity. Finally, we predict single-cell level activity of three clinically-relevant drugs, and validate them in patient-derived explant.
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