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Convergence of oncogenic cooperation at single-cell and single-gene levels drives leukemic transformation

Cancers develop from the accumulation of somatic mutations, yet it remains unclear how oncogenic lesions cooperate to drive cancer progression. Using a mouse model harboring NRas(G12D) and EZH2 mutations that recapitulates leukemic progression, we employ single-cell transcriptomic profiling to map c...

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Detalles Bibliográficos
Autores principales: Liu, Yuxuan, Gu, Zhimin, Cao, Hui, Kaphle, Pranita, Lyu, Junhua, Zhang, Yuannyu, Hu, Wenhuo, Chung, Stephen S., Dickerson, Kathryn E., Xu, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566485/
https://www.ncbi.nlm.nih.gov/pubmed/34732703
http://dx.doi.org/10.1038/s41467-021-26582-4
Descripción
Sumario:Cancers develop from the accumulation of somatic mutations, yet it remains unclear how oncogenic lesions cooperate to drive cancer progression. Using a mouse model harboring NRas(G12D) and EZH2 mutations that recapitulates leukemic progression, we employ single-cell transcriptomic profiling to map cellular composition and gene expression alterations in healthy or diseased bone marrows during leukemogenesis. At cellular level, NRas(G12D) induces myeloid lineage-biased differentiation and EZH2-deficiency impairs myeloid cell maturation, whereas they cooperate to promote myeloid neoplasms with dysregulated transcriptional programs. At gene level, NRas(G12D) and EZH2-deficiency independently and synergistically deregulate gene expression. We integrate results from histopathology, leukemia repopulation, and leukemia-initiating cell assays to validate transcriptome-based cellular profiles. We use this resource to relate developmental hierarchies to leukemia phenotypes, evaluate oncogenic cooperation at single-cell and single-gene levels, and identify GEM as a regulator of leukemia-initiating cells. Our studies establish an integrative approach to deconvolute cancer evolution at single-cell resolution in vivo.