Longitudinal single-cell multiomic atlas of high-risk neuroblastoma reveals chemotherapy-induced tumor microenvironment rewiring

  • Wenbao Yu
  • , Rumeysa Biyik-Sit
  • , Yasin Uzun
  • , Chia Hui Chen
  • , Anusha Thadi
  • , Jonathan H. Sussman
  • , Minxing Pang
  • , Chi Yun Wu
  • , Liron D. Grossmann
  • , Peng Gao
  • , David W. Wu
  • , Aliza Yousey
  • , Mei Zhang
  • , Christina S. Turn
  • , Zhan Zhang
  • , Shovik Bandyopadhyay
  • , Jeffrey Huang
  • , Tasleema Patel
  • , Changya Chen
  • , Daniel Martinez
  • Lea F. Surrey, Michael D. Hogarty, Kathrin Bernt, Nancy R. Zhang, John M. Maris, Kai Tan

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

High-risk neuroblastoma, a leading cause of pediatric cancer mortality, exhibits substantial intratumoral heterogeneity, contributing to therapeutic resistance. To understand tumor microenvironment evolution during therapy, we longitudinally profiled 22 patients with high-risk neuroblastoma before and after induction chemotherapy using single-nucleus RNA and ATAC sequencing and whole-genome sequencing. This revealed profound shifts in tumor and immune cell subpopulations after therapy and identified enhancer-driven transcriptional regulators of neuroblastoma neoplastic states. Poor outcome correlated with proliferative and metabolically active neoplastic states, whereas more differentiated neuronal-like states predicted better prognosis. Proportions of mesenchymal neoplastic cells increased after therapy and a high proportion correlated with a poorer chemotherapy response. Macrophages significantly expanded towards pro-angiogenic, immunosuppressive and metabolic phenotypes. We identified paracrine signaling networks and validated the HB-EGF–ERBB4 axis between macrophage and neoplastic subsets, which promoted tumor growth through the induction of ERK signaling. These findings collectively reveal intrinsic and extrinsic regulators of therapy response in high-risk neuroblastoma.

Original languageEnglish (US)
Article number3620
Pages (from-to)1142-1154
Number of pages13
JournalNature Genetics
Volume57
Issue number5
DOIs
StatePublished - May 2025

All Science Journal Classification (ASJC) codes

  • Genetics

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