Vulnerabilities of PTEN-TP53-deficient prostate cancers to compound PARP-PI3K inhibition.
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2014-08
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Abstract
Prostate cancer is the most prevalent cancer in males, and treatment options are limited for advanced forms of the disease. Loss of the PTEN and TP53 tumor suppressor genes is commonly observed in prostate cancer, whereas their compound loss is often observed in advanced prostate cancer. Here, we show that PARP inhibition triggers a p53-dependent cellular senescence in a PTEN-deficient setting in the prostate. Surprisingly, we also find that PARP-induced cellular senescence is morphed into an apoptotic response upon compound loss of PTEN and p53. We further show that superactivation of the prosurvival PI3K-AKT signaling pathway limits the efficacy of a PARP single-agent treatment, and that PARP and PI3K inhibitors effectively synergize to suppress tumorigenesis in human prostate cancer cell lines and in a Pten/Trp53-deficient mouse model of advanced prostate cancer. Our findings, therefore, identify a combinatorial treatment with PARP and PI3K inhibitors as an effective option for PTEN-deficient prostate cancer.The paucity of therapeutic options in advanced prostate cancer displays an urgent need for the preclinical assessment of novel therapeutic strategies. We identified differential therapeutic vulnerabilities that emerge upon the loss of both PTEN and p53, and observed that combined inhibition of PARP and PI3K provides increased efficacy in hormone-insensitive advanced prostate cancer.
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González-Billalabeitia, Enrique, Nina Seitzer, Su Jung Song, Min Sup Song, Akash Patnaik, Xue-Song Liu, Mirjam T Epping, Antonella Papa, et al. (2014). Vulnerabilities of PTEN-TP53-deficient prostate cancers to compound PARP-PI3K inhibition. Cancer discovery, 4(8). pp. 896–904. 10.1158/2159-8290.CD-13-0230 Retrieved from https://hdl.handle.net/10161/20383.
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Ming Chen
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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