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Metadata

Name
ASCL1 represses a SOX9+ neural-crest-stem-like state in small cell lung cancer
Repository
Gene Expression Omnibus
Identifier
geo.series:GSE169529
Description
ASCL1 is a neuroendocrine-lineage-specific oncogenic driver of small cell lung cancer (SCLC), highly expressed in a significant fraction of tumors. However, ~25% of human SCLC are ASCL1-low and associated with low-neuroendocrine fate and high MYC expression. Using genetically-engineered mouse models (GEMMs), we show that alterations in Rb1/Trp53/Myc in the mouse lung induce an ASCL1+ state of SCLC in multiple cells of origin. Genetic depletion of ASCL1 in MYC-driven SCLC dramatically inhibits tumor initiation and progression to the NEUROD1+ subtype of SCLC. Surprisingly, ASCL1 loss promotes a SOX9+ mesenchymal/neural-crest-stem-like state and the emergence of bone and more rarely, cartilaginous tumors. ASCL1 is critical for expression of key lineage-related transcription factors NKX2-1, FOXA2, and INSM1, and represses regulators of Hippo, Wnt and Notch developmental pathways in vivo. ASCL1 also represses SOX9 expression in human SCLC cells, suggesting a conserved function for ASCL1. Here, we utilize single-cell RNA sequencing to capture transcriptomic signatures of RPM (Rb1/Trp53/Myc), RPR2 (Rb1/Trp53/Rbl2), and RPMA (Rb1/Trp53/Myc/Ascl1) GEMM tumors to support our conclusion that in MYC-driven SCLC, ASCL1 promotes neuroendocrine fate and represses the emergence of SOX9+ non-endodermal stem-like or mesenchymal fates. These data were integrated with 4 additional invasive RPM tumors from NCBI GEO: GSE149180.
Data or Study Types
Expression profiling by high throughput sequencing
Source Organization
National Center for Biotechnology Information
Access Conditions
available
Year
2021
Access Hyperlink
http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GSE169529

Distributions

  • Encoding Format: TXT ; URL: ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE1nnn/GSE169529/matrix/
  • Encoding Format: MINiML ; URL: ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE1nnn/GSE169529/miniml/
  • Encoding Format: SOFT ; URL: ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE1nnn/GSE169529/soft/
This project was funded in part by grant U24AI117966 from the NIH National Institute of Allergy and Infectious Diseases as part of the Big Data to Knowledge program. We thank all members of the bioCADDIE community for their valuable input on the overall project.