Single-cell MultiOmics and spatial transcriptomics demonstrate neuroblastoma developmental plasticity
Year: 2025
Type: article
Abstract: Neuroblastoma, the most prevalent extracranial pediatric solid tumor, arises from neural crest progeny cells. It exhibits substantial developmental plasticity and intratumoral heterogeneity, leading to survival rates below 50% in high-risk cases. The regulatory mechanisms underlying this plasticity remain largely elusive. In this integrative study, we used single-cell MultiOmics from a mouse spontaneous tumor model and spatial transcriptomics from human patient samples to dissect the transcriptional and epigenetic landscapes that govern developmental states in neuroblastoma. We identified developmental intermediate states in high-risk neuroblastomas critical for malignant transitions and uncovered extensive epigenetic priming with latent capacity for diverse state transitions. Furthermore, we mapped enhancer gene regulatory networks (eGRNs) and tumor microenvironments sustaining these aggressive states. State transitions and malignancy could be interfered with by targeting transcription factors controlling the eGRNs.
Source: Developmental Cell
Authors: Yunyun Xu, Daohua Lou, Ping Chen, Gang Li, Dimtry Usoskin, Jian Pan, Fang Li, Shungen Huang, Caroline Hess, Ruze Tang, Xiaohan Hu, Juanjuan Yu, Maria Arceo, Ronald R. de Krijger, Arthur S. Tischler, Susanne Schlisio, Patrik Ernfors, Yizhou Hu, Jian Wang
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $10,400
Funders: Åke Wiberg Stiftelse, Suzhou Municipal Health Commission, National Natural Science Foundation of China, Cancerfonden, Örebro Universitet, Svenska Sällskapet för Medicinsk Forskning, Karolinska Institutet, Knut och Alice Wallenbergs Stiftelse, Vetenskapsrådet, Natural Science Foundation of Jiangsu Province, Medicinska Forskningsrådet, Jiangsu Science and Technology Department, Geneseeq Technology, Uppsala Multidisciplinary Center for Advanced Computational Science, Science and Technology Program of Suzhou
OpenAlex ID: W4410230786
