OncogeneCancer BiologyPeer-reviewed journal article
NSD2 promotes cell durotaxis and drives the transition from PKD to tubulocystic renal cell carcinoma through integrin/FAK/AKT signaling
Wenxin Feng, Ningyuan LiuiD, Changwei LiuiD, Hanyu RaoiD, Zhuo CheniD, Wei ZhangiD, Yue Xu, Rebiguli Aji, Ziyi WangiD, Wei‐Qiang GaoiD, Li LiiD
Abstract
Renal cell carcinoma (RCC) is one of the most common malignancies in the urinary system. NSD2 is an H3K36-specific di-methyltransferase which has been reported to participate in diverse biological processes and human tumors. However, its role in RCC remains unclear. Here, we found that NSD2 is highly expressed in RCC, which is associated with poor survival in RCC patients. NSD2 facilitates the transition from Myc-induced polycystic kidney disease to tubulocystic renal cell carcinoma (TCRCC), which is a rare RCC subtype with distinctive clinicopathologic and genetic characterizations. The mice with kidney-specific overexpression of MYC and NSD2 (KMN) display severe cyst burden at only 6 weeks of age, and develop into TCRCC at 12 weeks of age. Mechanistically, NSD2 transcriptionally upregulates the expressions of integrins (Itga4 and Itga11), to further activate the FAK/AKT pathway. In addition, we found that NSD2 enhances the cell proliferation on the stiff matrix of PEGDA hydrogel. Moreover, inhibition of FAK signaling relieves the symptoms of KMN mice, and significantly rescues the enhanced cell proliferation caused by NSD2 overexpression in vitro. Together, our findings highlight an epigenetic mechanism by which NSD2 regulates TCRCC tumorigenesis through the integrin/FAK/AKT pathway. This study may also pave the way for the development of targeted, patient-tailored therapies for TCRCC patients with NSD2 amplification or high expression.
- organism: mouse
- assay: bulk RNA-seq
- research focus: cancer & tumor microenvironment
- research focus: cell signaling & trafficking
- research focus: development & morphogenesis
- approach: experimental assay
- approach: genetic perturbation / CRISPR
- approach: biophysical modeling
- Citations
- 2
- FWCI
- 1.20
- Field percentile
- top 21%
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