bioRxivNeurosciencePreprint
Neural crest-related NXPH1/α-NRXN signaling opposes neuroblastoma malignancy by inhibiting metastasis
Lucía FanloiD, Soledad Gómez‐GonzáleziD, Irene Sangrador, Emmanuel L. GautieriD, Susana Usieto, Elena RebolloiD, Mònica Vilà-Ubach, Angel Montero CarcabosoiD, Toni Celià-TerrassaiD, Cinzia Emilia LavarinoiD, Elisa Martı́iD, Gwenvaël Le DréauiD
Abstract
Neuroblastoma is a pediatric cancer that can present as low- or high-risk tumors (LR-NBs and HR-NBs), the latter group showing poor prognosis due to metastasis and strong resistance to current therapy. NBs are known to originate from alterations to cells in the sympatho-adrenal lineage derived from the neural crest, but whether LR-NBs and HR-NBs differ in the way they exploit the transcriptional program underlying their developmental origin remains unclear. Here, we compared the transcriptional landscapes of primary samples of LR-NBs, HR-NBs and human fetal adrenal gland, and thereby identified the transcriptional signature associated to NB formation that further distinguishes LR-NBs from HR-NBs. The majority of the genes comprising this signature belong to the core sympatho-adrenal developmental program, are associated with favorable patient prognosis and with diminished disease progression. The top candidate gene of this list, Neurexophilin-1 (NXPH1), encodes a ligand of the transmembrane receptors -Neurexins (-NRXNs). Our functional in vivo and in vitro assays reveal that NXPH1/-NRXN signaling has a dual impact on NB behavior: whereas NXPH1 and -NRXN1 promote NB tumor growth by stimulating cell proliferation, they conversely inhibit the ability of NB cells to form metastases. Our findings uncover a module of the neural crest-derived sympatho-adrenal developmental program that opposes neuroblastoma malignancy by impeding metastasis, and pinpoint NXPH1/-NRXN signaling as a promising target to treat HR-NBs.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: drug response / drug discovery
- approach: statistical model
- Citations
- 0
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