Science AdvancesCancer BiologyPeer-reviewed journal article
Single-cell and Spatial Omics Reveals Region-Specific Plasticity and Therapeutic Vulnerabilities in Metastatic High-Risk Neuroblastoma
Lai Man Natalie WuiD, Janet L. OblingeriD, Dazhuan Eric XiniD, Rohit RaoiD, Feng ZhangiD, Mike AdamiD, Oscar F. Lopez‐NuneziD, Sara SzaboiD, Daniel von Allmen, Long‐Sheng ChangiD, Brian WeissiD, Qing Richard LuiD
Abstract
Neuroblastoma, a deadly pediatric cancer derived from sympathetic ganglia of the peripheral nervous system, frequently metastasizes, driving poor outcomes. Primary neuroblastomas are well-characterized, but the mechanisms underlying metastasis remain poorly understood. Here, by applying single-cell and spatial multi-omics analyses to primary and metastatic tumors, we found that lymph-node metastases in high-risk neuroblastomas display distinctive cellular heterogeneity and plasticity, marked by mesenchymal-like and stem-like states and heightened epithelial-to-mesenchymal transition activity compared to primary adrenal tumors. Additionally, compared to primary adrenal masses, the metastatic niche display increased immunosuppressive myeloid programs, heightened immune checkpoint signaling, and lymphocyte exhaustion, which are indicative of immune evasion and dysfunction. Notably, metastatic neuroblastomas show elevated eIF4F translation machinery and XPO1 levels. Dual inhibition of eIF4A and XPO1 synergistically halted tumor growth and prolonged survival in xenograft models. Together, our multi-omics studies reveal the molecular and cellular plasticity that contributes to therapy resistance and highlight exploitable therapeutic vulnerabilities in high-risk metastatic neuroblastomas.
- organism: human
- assay: scRNA-seq
- assay: spatial transcriptomics
- research focus: cell type annotation
- research focus: drug response / drug discovery
- research focus: cell signaling & trafficking
- approach: deep learning
- approach: statistical model
- Citations
- 3
- FWCI
- 12.87
- Field percentile
- top 2%
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