PRMT5 orchestrates EGFR and AKT networks to activate NFκB and promote EMT.

Neuroblastoma remains a formidable challenge in pediatric oncology, representing 15% of cancer-related mortalities in children. Despite advancements in combinatorial and targeted treatments improving survival rates, nearly 50% of patients with high-risk neuroblastoma will ultimately succumb to their disease. Dysregulation of the epithelial-mesenchymal transition (EMT) is a key mechanism of tumor cell dissemination, resulting in metastasis and poor outcomes in many cancers. Our prior work identified PRMT5 as a key regulator of EMT via methylation of AKT at arginine 15, enhancing the expression of EMT-driving transcription factors and facilitating metastasis. Here, we identify that PRMT5 directly regulates the transcription of the epidermal growth factor receptor (EGFR). PRMT5, through independent modulation of the EGFR and AKT pathways, orchestrates the activation of NFκB, resulting in the upregulation of the pro-EMT transcription factors ZEB1, SNAIL, and TWIST1. Notably, EGFR and AKT form a compensatory feedback loop, reinforcing the expression of these EMT transcription factors. Small molecule inhibition of PRMT5 methyltransferase activity disrupts EGFR/AKT signaling, suppresses EMT transcription factor expression and ablates tumor growth in vivo . Our findings underscore the pivotal role of PRMT5 in the control of the EMT program in high-risk neuroblastoma.

Improving Early Identification and Access to Diagnosis of Autism Spectrum Disorder in Toddlers in a Culturally Diverse Community with the Rapid Interactive screening Test for Autism in Toddlers.

The objective of this study was to test a screening model that employs the Rapid Interactive Screening Test for Autism in Toddlers (RITA-T), in an underserved community to improve ASD detection. We collaborated with a large Early Intervention (EI) program and trained 4 providers reliably on the RITA-T. Toddlers received the Modified Checklist for Autism in Toddlers (MCHAT-R/F), the RITA-T, developmental and autism testing, and a best-estimate clinical diagnosis. Eighty-One toddlers were enrolled: 57 with ASD and 24 with Developmental Delay (DD) non-ASD. Wait-time for diagnosis was on average 6 weeks. The RITA-T correlated highly with autism measures and EI staff integrated this model easily. The RITA-T significantly improved the identification and wait time for ASD in this underserved community.