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The Heterogeneous Cellular States of Glioblastoma Stem Cells Revealed by Single Cell Analysis.
Yan, Haoteng; Zhu, Jiali; Ping, Yanyan; Yan, Min; Liao, Gaoming; Yuan, Huating; Zhou, Yao; Xiang, Fengyu; Pang, Bo; Xu, Jinyuan; Pang, Lin.
Afiliação
  • Yan H; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Zhu J; Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing 100053, People's Republic of China.
  • Ping Y; Aging Translational Medicine Center, Xuanwu Hospital, Capital Medical University, Beijing 100053, People's Republic of China.
  • Yan M; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Liao G; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Yuan H; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Zhou Y; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Xiang F; Bioinformatics and BioMedical Bigdata Mining Laboratory, School of Big Health, Guizhou Medical University, Guiyang 550025, People's Republic of China.
  • Pang B; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Xu J; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Pang L; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Stem Cells ; 41(2): 111-125, 2023 03 02.
Article em En | MEDLINE | ID: mdl-36583266
Glioblastoma stem cells (GSCs) contributed to the progression, treatment resistance, and relapse of glioblastoma (GBM). However, current researches on GSCs were performed usually outside the human tumor microenvironment, ignoring the importance of the cellular states of primary GSCs. In this study, we leveraged single-cell transcriptome sequencing data of 6 independent GBM cohorts from public databases, and combined lineage and stemness features to identify primary GSCs. We dissected the cell states of GSCs and correlated them with the clinical outcomes of patients. As a result, we constructed a cellular hierarchy where GSCs resided at the center. In addition, we identified and characterized 2 different and recurrent GSCs subpopulations: proliferative GSCs (pGSCs) and quiescent GSCs (qGSCs). The pGSCs showed high cell cycle activity, indicating rapid cell division, while qGSCs showed a quiescent state. Then we traced the processes of tumor development by pseudo-time analysis and tumor phylogeny, and found that GSCs accumulated throughout the whole tumor development period. During the process, pGSCs mainly contributed to the early stage and qGSCs were enriched in the later stage. Finally, we constructed an 8-gene prognostic signature reflecting pGSCs activity and found that patients whose tumors were enriched for the pGSC signature had poor clinical outcomes. Our study highlights the primary GSCs heterogeneity and its correlation to tumor development and clinical outcomes, providing the potential targets for GBM treatment.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Glioblastoma Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Glioblastoma Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article