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Von Hippel Lindau tumor suppressor controls m6A-dependent gene expression in renal tumorigenesis
Cheng Zhang, … , Payal Kapur, Qing Zhang
Cheng Zhang, … , Payal Kapur, Qing Zhang
Published April 15, 2024
Citation Information: J Clin Invest. 2024;134(8):e175703. https://doi.org/10.1172/JCI175703.
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Research Article Oncology

Von Hippel Lindau tumor suppressor controls m6A-dependent gene expression in renal tumorigenesis

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Abstract

N6-Methyladenosine (m6A) is the most abundant posttranscriptional modification, and its contribution to cancer evolution has recently been appreciated. Renal cancer is the most common adult genitourinary cancer, approximately 85% of which is accounted for by the clear cell renal cell carcinoma (ccRCC) subtype characterized by VHL loss. However, it is unclear whether VHL loss in ccRCC affects m6A patterns. In this study, we demonstrate that VHL binds and promotes METTL3/METTL14 complex formation while VHL depletion suppresses m6A modification, which is distinctive from its canonical E3 ligase role. m6A RNA immunoprecipitation sequencing (RIP-Seq) coupled with RNA-Seq allows us to identify a selection of genes whose expression may be regulated by VHL-m6A signaling. Specifically, PIK3R3 is identified to be a critical gene whose mRNA stability is regulated by VHL in a m6A-dependent but HIF-independent manner. Functionally, PIK3R3 depletion promotes renal cancer cell growth and orthotopic tumor growth while its overexpression leads to decreased tumorigenesis. Mechanistically, the VHL-m6A–regulated PIK3R3 suppresses tumor growth by restraining PI3K/AKT activity. Taken together, we propose a mechanism by which VHL regulates m6A through modulation of METTL3/METTL14 complex formation, thereby promoting PIK3R3 mRNA stability and protein levels that are critical for regulating ccRCC tumorigenesis.

Authors

Cheng Zhang, Miaomiao Yu, Austin J. Hepperla, Zhao Zhang, Rishi Raj, Hua Zhong, Jin Zhou, Lianxin Hu, Jun Fang, Hongyi Liu, Qian Liang, Liwei Jia, Chengheng Liao, Sichuan Xi, Jeremy M. Simon, Kexin Xu, Zhijie Liu, Yunsun Nam, Payal Kapur, Qing Zhang

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Figure 5

Transcriptome-wide RNA-Seq and m6A-Seq assays identify potential targets of VHL involved m6A modification.

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Transcriptome-wide RNA-Seq and m6A-Seq assays identify potential targets...
(A) Schematic flow chart demonstrating the framework to identify VHL-involved m6A targets. (B) Overlapping analysis of genes identified by different m6A peaks (DM) and differentially expressed genes (DEGs). (C) Overlapping analysis of genes identified by Ctrl only m6A site genes and DEGs. (D) Overlapping analysis of top enriched genes by strategy 1 and strategy 2. (E) Heatmap of DEGs and different m6A peaks (DM) of top enriched genes. (F) Clustergram of top enriched genes in KEGG pathways. (G) Genome browser representative tracks of 3 biological replicates displaying the m6A read distribution and changes (based on the m6A MeRIP-Seq and RNA-Seq data) in PIK3R3 transcripts upon the KO of VHL in HKC cells. (H) qPCR analysis of PIK3R3 mRNA levels in HKC Ctrlsg and VHLsg cells. (I) MeRIP-qPCR analysis of PIK3R3 m6A levels in HKC Ctrlsg and VHLsg cells. (J) The association of METTL3 with PIK3R3 mRNA was assessed by METTL3 RIP-qPCR analysis. Data show mean ± SD, ***P < 0.001, ****P < 0.0001, 1-way ANOVA analysis.

Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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