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Sorting nexin 10 sustains PDGF receptor signaling in glioblastoma stem cells via endosomal protein sorting
Ryan C. Gimple, … , Sameer Agnihotri, Jeremy N. Rich
Ryan C. Gimple, … , Sameer Agnihotri, Jeremy N. Rich
Published February 16, 2023
Citation Information: JCI Insight. 2023;8(6):e158077. https://doi.org/10.1172/jci.insight.158077.
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Research Article Oncology Stem cells

Sorting nexin 10 sustains PDGF receptor signaling in glioblastoma stem cells via endosomal protein sorting

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Abstract

Glioblastoma is the most malignant primary brain tumor, the prognosis of which remains dismal even with aggressive surgical, medical, and radiation therapies. Glioblastoma stem cells (GSCs) promote therapeutic resistance and cellular heterogeneity due to their self-renewal properties and capacity for plasticity. To understand the molecular processes essential for maintaining GSCs, we performed an integrative analysis comparing active enhancer landscapes, transcriptional profiles, and functional genomics profiles of GSCs and non-neoplastic neural stem cells (NSCs). We identified sorting nexin 10 (SNX10), an endosomal protein sorting factor, as selectively expressed in GSCs compared with NSCs and essential for GSC survival. Targeting SNX10 impaired GSC viability and proliferation, induced apoptosis, and reduced self-renewal capacity. Mechanistically, GSCs utilized endosomal protein sorting to promote platelet-derived growth factor receptor β (PDGFRβ) proliferative and stem cell signaling pathways through posttranscriptional regulation of the PDGFR tyrosine kinase. Targeting SNX10 expression extended survival of orthotopic xenograft–bearing mice, and high SNX10 expression correlated with poor glioblastoma patient prognosis, suggesting its potential clinical importance. Thus, our study reveals an essential connection between endosomal protein sorting and oncogenic receptor tyrosine kinase signaling and suggests that targeting endosomal sorting may represent a promising therapeutic approach for glioblastoma treatment.

Authors

Ryan C. Gimple, Guoxin Zhang, Shuai Wang, Tengfei Huang, Jina Lee, Suchet Taori, Deguan Lv, Deobrat Dixit, Matthew E. Halbert, Andrew R. Morton, Reilly L. Kidwell, Zhen Dong, Briana C. Prager, Leo J.Y. Kim, Zhixin Qiu, Linjie Zhao, Qi Xie, Qiulian Wu, Sameer Agnihotri, Jeremy N. Rich

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Figure 2

Targeted loss-of-function CRISPR dropout screen identified SNX10 as a functional dependency in glioblastoma stem cells.

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Targeted loss-of-function CRISPR dropout screen identified SNX10 as a fu...
(A and B) Relative mRNA expression of (A) OLIG2 and (B) GFAP as assessed by qPCR in 11 matched GSCs relative to the paired differentiated glioma cell (DGC) sample. n = 3. Data are presented as mean ± SD. Significance was determined by 2-way ANOVA with Tukey’s multiple-comparison test. ***P < 0.001. (C) Schematic of loss-of-function CRISPR dropout screen of 180 genes in 6 patient-derived GSCs. (D) Overlap of essential genes in each GSC as defined by CRISPR screening. Six patient-derived GSCs were used in CRISPR screening experiments. Gene essentiality cutoffs were z score less than 0 and P value less than 0.05 for each GSC. (E) CRISPR screening hits ranked by the number of GSCs in which the gene was essential as defined in D. (F) Essentiality scores of CRISPR screening targets with patient prognostic significance in GSCs compared to other cancer cell lines in whole genome CRISPR screening data (34).

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