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Unbalancing cAMP and Ras/MAPK pathways as a therapeutic strategy for cutaneous neurofibromas
Helena Mazuelas, … , Meritxell Carrió, Eduard Serra
Helena Mazuelas, … , Meritxell Carrió, Eduard Serra
Published January 4, 2024
Citation Information: JCI Insight. 2024;9(3):e168826. https://doi.org/10.1172/jci.insight.168826.
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Research Article Cell biology Genetics

Unbalancing cAMP and Ras/MAPK pathways as a therapeutic strategy for cutaneous neurofibromas

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Abstract

Cutaneous neurofibromas (cNFs) are benign Schwann cell (SC) tumors arising from subepidermal glia. Individuals with neurofibromatosis type 1 (NF1) may develop thousands of cNFs, which greatly affect their quality of life. cNF growth is driven by the proliferation of NF1–/– SCs and their interaction with the NF1+/– microenvironment. We analyzed the crosstalk between human cNF-derived SCs and fibroblasts (FBs), identifying an expression signature specific to the SC-FB interaction. We validated the secretion of proteins involved in immune cell migration, suggesting a role of SC-FB crosstalk in immune cell recruitment. The signature also captured components of developmental signaling pathways, including the cAMP elevator G protein–coupled receptor 68 (GPR68). Activation of Gpr68 by ogerin in combination with the MEK inhibitor (MEKi) selumetinib reduced viability and induced differentiation and death of human cNF-derived primary SCs, a result corroborated using an induced pluripotent stem cell–derived 3D neurofibromasphere model. Similar results were obtained using other Gpr68 activators or cAMP analogs/adenylyl cyclase activators in combination with selumetinib. Interestingly, whereas primary SC cultures restarted their proliferation after treatment with selumetinib alone was stopped, the combination of ogerin-selumetinib elicited a permanent halt on SC expansion that persisted after drug removal. These results indicate that unbalancing the Ras and cAMP pathways by combining MEKi and cAMP elevators could be used as a potential treatment for cNFs.

Authors

Helena Mazuelas, Miriam Magallón-Lorenz, Itziar Uriarte-Arrazola, Alejandro Negro, Inma Rosas, Ignacio Blanco, Elisabeth Castellanos, Conxi Lázaro, Bernat Gel, Meritxell Carrió, Eduard Serra

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Figure 2

Transcriptome analysis of cNFs, cNF-derived single cultures, and SC-FB cocultures identifies expression profiles due to SC-FB interactions.

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Transcriptome analysis of cNFs, cNF-derived single cultures, and SC-FB c...
(A) Schematic representation of in silico SC-FB coculture approach for generation of virtual cocultures. Virtual cocultures were generated by random sampling of a number of reads from the BAM files of the single cultures and mixing samples from each single culture with an exact proportion of cocultured samples. (B) Principal component analysis of cNF, SC, and FB single cultures; SC-FB cocultures; and virtual SC-FB cocultures for whole-genome RNA-Seq, showing the proximity between real and virtual cocultures. (C) Heatmap plot representing an unsupervised cluster analysis of differentially expressed genes (adjusted P < 0.05) between real and virtual SC-FB cocultures. SC, Schwann cells; FB, fibroblasts; SC-FB, SC-FB cocultures; cNF, cutaneous neurofibroma.

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