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Bladder Cancer Associated Mutations in RXRA activate Peroxisome Proliferator-Activated Receptors to Drive Urothelial Proliferation

ABSTRACT: RXRA regulates transcription as part of a heterodimer with 14 other nuclear receptors, including the peroxisome proliferator-activated receptors (PPARs). Analysis from the TCGA raised the possibility that hyperactive PPAR signaling, either due to PPAR gamma gene amplification or RXRA hot-spot mutation (S427F/Y) drives 20-25% of bladder cancers. Here we characterize mutant RXRA, demonstrating it induces enhancer/promoter activity in the context of RXRA/PPAR heterodimers. Structure-function studies indicate the RXRA substitution allosterically regulates the PPAR AF2 domain via an aromatic interaction with the terminal tyrosine found in PPARs. In urothelium, we find PPAR agonism is sufficient to drive growth factor independent growth, but only after deletion of the tumor suppressors Kdm6a and Trp53. Similarly, mutant RXRA stimulates growth factor independent growth, in a manner reversible by PPAR inhibition. These studies reveal a pro-tumorigenic interaction between loss of tumor suppressors and PPAR activation and implicate PPARs as targetable drivers of bladder cancer.

ORGANISM(S): Homo sapiens

PROVIDER: GSE107734 | GEO | 2017/12/07

SECONDARY ACCESSION(S): PRJNA421310

REPOSITORIES: GEO

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Project description:The paper describes a model on the Dynamics of Immune Checkpoints, Immune System, and BCG in the Treatment of Superficial Bladder Cancer. Created by COPASI 4.25 (Build 207) This model is described in the article: Dynamics of Immune Checkpoints, Immune System, and BCG in the Treatment of Superficial Bladder Cancer Farouk Tijjani Saad, Evren Hincal, and Bilgen Kaymakamzade Computational and Mathematical Methods in Medicine, vol. 2017, no. 3573082 Abstract: This paper aims to study the dynamics of immune suppressors/checkpoints, immune system, and BCG in the treatment of superficial bladder cancer. Programmed cell death protein-1 (PD-1), cytotoxic T-lymphocyte-associated antigen 4 (CTLA4), and transforming growth factor-beta (TGF-b) are some of the examples of immune suppressors/checkpoints. They are responsible for deactivating the immune system and enhancing immunological tolerance. Moreover, they categorically downregulate and suppress the immune system by preventing and blocking the activation of T-cells, which in turn decreases autoimmunity and enhances self- tolerance. In cancer immunotherapy, the immune checkpoints/suppressors prevent and block the immune cells from attacking, spreading, and killing the cancer cells, which leads to cancer growth and development. We formulate a mathematical model that studies three possible dynamics of the treatment and establish the effects of the immune checkpoints on the immune system and the treatment at large. Although the effect cannot be seen explicitly in the analysis of the model, we show it by numerical simulations. This model is hosted on BioModels Database and identified by: MODEL1907100001. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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Bladder Cancer Associated Mutations in RXRA activate Peroxisome Proliferator-Activated Receptors to Drive Urothelial Proliferation

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