Literature DB >> 21912423

The endocannabinoid system in prostate cancer.

Inés Díaz-Laviada1.   

Abstract

Cannabinoids, their receptors and their metabolizing enzymes are emerging as a new regulatory system, which is involved in multiple physiological functions. Normal prostate tissue expresses several constituents of the endocannabinoid system including the CB(1) receptor, receptors belonging to the transient receptor potential family and fatty acid amide hydrolase, a hydrolyzing enzyme, all of which have been localized in the glandular epithelia. Accumulating evidence indicate that the endocannabinoid system is dysregulated in prostate cancer, suggesting that it has a role in prostate homeostasis. Overexpression of several components of the endocannabinoid system correlate with prostate cancer grade and progression, potentially providing a new therapeutic target for prostate cancer. Moreover, several cannabinoids exert antitumoral properties against prostate cancer, reducing xenograft prostate tumor growth, prostate cancer cell proliferation and cell migration. Although the therapeutic potential of cannabinoids against prostate cancer is very promising, future research using animal models is needed to evaluate the influence of systemic networks in their antitumoral action.

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Year:  2011        PMID: 21912423     DOI: 10.1038/nrurol.2011.130

Source DB:  PubMed          Journal:  Nat Rev Urol        ISSN: 1759-4812            Impact factor:   14.432


  105 in total

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8.  Expression of functionally active cannabinoid receptor CB1 in the human prostate gland.

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Journal:  J Physiol Biochem       Date:  2018-02-13       Impact factor: 4.158

Review 4.  Systematic review of the potential role of cannabinoids as antiproliferative agents for urological cancers.

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7.  Proapoptotic effect of endocannabinoids in prostate cancer cells.

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8.  Association between cannabinoid CB₁ receptor expression and Akt signalling in prostate cancer.

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10.  Potential upstream regulators of cannabinoid receptor 1 signaling in prostate cancer: a Bayesian network analysis of data from a tissue microarray.

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