Deciphering the longitudinal trajectories of glioblastoma ecosystems by integrative single-cell genomics.

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作者:Spitzer Avishay, Johnson Kevin C, Nomura Masashi, Garofano Luciano, Nehar-Belaid Djamel, Darnell Noam Galili, Greenwald Alissa C, Bussema Lillian, Oh Young Taek, Varn Frederick S, D'Angelo Fulvio, Gritsch Simon, Anderson Kevin J, Migliozzi Simona, Gonzalez Castro L Nicolas, Chowdhury Tamrin, Robine Nicolas, Reeves Catherine, Park Jong Bae, Lipsa Anuja, Hertel Frank, Golebiewska Anna, Niclou Simone P, Nusrat Labeeba, Kellet Sorcha, Das Sunit, Moon Hyo-Eun, Paek Sun Ha, Bielle Franck, Laurenge Alice, Di Stefano Anna Luisa, Mathon Bertrand, Picca Alberto, Sanson Marc, Tanaka Shota, Saito Nobuhito, Ashley David M, Keir Stephen T, Ligon Keith L, Huse Jason T, Yung W K Alfred, Lasorella Anna, Iavarone Antonio, Verhaak Roel G W, Tirosh Itay, Suvà Mario L
The evolution of isocitrate dehydrogenase (IDH)-wildtype glioblastoma (GBM) after standard-of-care therapy remains poorly understood. Here we analyzed matched primary and recurrent GBMs from 59 patients using single-nucleus RNA sequencing and bulk DNA sequencing, assessing the longitudinal evolution of the GBM ecosystem across layers of cellular and molecular heterogeneity. The most consistent change was a lower malignant cell fraction at recurrence and a reciprocal increase in glial and neuronal cell types in the tumor microenvironment (TME). The predominant malignant cell state differed between most matched pairs, but no states were exclusive or highly enriched in either time point, nor was there a consistent longitudinal trajectory across the cohort. Nevertheless, specific trajectories were enriched in subsets of patients. Changes in malignant state abundances mirrored changes in TME composition and baseline profiles, reflecting the co-evolution of the GBM ecosystem. Our study provides a blueprint of GBM's diverse longitudinal trajectories and highlights the treatment and TME modifiers that shape them.

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