Spatial transcriptomics exploration of the primary neuroblastoma microenvironment in archived FFPE samples unveils novel paracrine interactions.
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Siaw JT, Merseburger P, Borenäs M, Jansson C, Karlsson J, Claeys A, Jennische E, Lind DE, Gisselsson Nord D, Palmer RH, Van den Eynden J
J. Pathol. - (-) - [2025-08-08; online 2025-08-08]
High-risk neuroblastomas exhibit a high degree of intratumoral heterogeneity. Single-cell RNA sequencing has greatly improved our understanding of these tumors, but the method lacks cellular tissue context and spatial information about local signaling dynamics. To address this, we profiled untreated and chemotherapy-treated high-risk neuroblastomas from archived, formalin-fixed, paraffin-embedded (FFPE) tissues from two patients using spatial transcriptomics. We confirmed the transcriptional and cellular heterogeneous nature of the neuroblastoma microenvironment and identified several unique spatial niches and patterns. In one of the treated tumors, a spatially constrained cluster of undifferentiated and 11p-gained cancer cells was identified, surrounded by a rim of macrophages. A signaling interaction between the chemokine CCL18 and its receptor PITPNM3 was predicted between these cells. In the other tumor, we identified a stromal cluster with high transcriptional similarity to the adrenal cortex. These adrenocortical-like cells expressed several oncogenic ligand-encoding genes (e.g. ALKAL2 and NRTN), which were predicted to communicate with neighboring cancer cells that expressed the corresponding receptors (e.g. ALK, RET). Several of these interactions were further validated experimentally and were shown to be clinically relevant. Collectively, our spatial analysis identifies multiple previously unrecognized signaling axes that may offer novel therapeutic options in neuroblastoma. © 2025 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
NGI Stockholm (Genomics Production) [Service]
National Genomics Infrastructure [Service]
PubMed 40778592
DOI 10.1002/path.6457
Crossref 10.1002/path.6457