An aberrant SREBP-dependent lipogenic program promotes metastatic prostate cancer.

Abstract

Lipids, either endogenously synthesized or exogenous, have been linked to human cancer. Here we found that PML is frequently co-deleted with PTEN in metastatic human prostate cancer (CaP). We demonstrated that conditional inactivation of Pml in the mouse prostate morphs indolent Pten-null tumors into lethal metastatic disease. We identified MAPK reactivation, subsequent hyperactivation of an aberrant SREBP prometastatic lipogenic program, and a distinctive lipidomic profile as key characteristic features of metastatic Pml and Pten double-null CaP. Furthermore, targeting SREBP in vivo by fatostatin blocked both tumor growth and distant metastasis. Importantly, a high-fat diet (HFD) induced lipid accumulation in prostate tumors and was sufficient to drive metastasis in a nonmetastatic Pten-null mouse model of CaP, and an SREBP signature was highly enriched in metastatic human CaP. Thus, our findings uncover a prometastatic lipogenic program and lend direct genetic and experimental support to the notion that a Western HFD can promote metastasis.

Department

Description

Provenance

Subjects

Cell Line, Tumor, Animals, Mice, Inbred C57BL, Mice, Knockout, Humans, Mice, Prostatic Neoplasms, Cell Transformation, Neoplastic, Neoplasm Metastasis, Cell Proliferation, Male, Lipogenesis, PTEN Phosphohydrolase, Sterol Regulatory Element Binding Proteins, Metabolic Networks and Pathways, PC-3 Cells

Citation

Published Version (Please cite this version)

10.1038/s41588-017-0027-2

Publication Info

Chen, Ming, Jiangwen Zhang, Katia Sampieri, John G Clohessy, Lourdes Mendez, Enrique Gonzalez-Billalabeitia, Xue-Song Liu, Yu-Ru Lee, et al. (2018). An aberrant SREBP-dependent lipogenic program promotes metastatic prostate cancer. Nature genetics, 50(2). pp. 206–218. 10.1038/s41588-017-0027-2 Retrieved from https://hdl.handle.net/10161/20378.

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Scholars@Duke

Chen

Ming Chen

Associate Professor of Pathology

Our laboratory is interested in understanding the molecular and genetic events underlying cancer progression and metastasis. The focus of our work is a series of genetically engineered mouse models that faithfully recapitulate human disease. Using a combination of mouse genetics, omics technologies, cross-species analyses and in vitro approaches, we aim to identify cancer cell–intrinsic and –extrinsic mechanisms driving metastatic cancer progression, with a long–term goal of developing new therapeutic strategies for preventing and treating metastatic disease. 


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