The cannabinoid WIN 55,212-2 prevents neuroendocrine differentiation of LNCaP prostate cancer cells.

Prostate Cancer Prostatic Dis

Department of System Biology, Biochemistry and Molecular Biology Unit, School of Medicine, Alcala University, Madrid, Spain.

Published: September 2016

Background: Neuroendocrine (NE) differentiation represents a common feature of prostate cancer and is associated with accelerated disease progression and poor clinical outcome. Nowadays, there is no treatment for this aggressive form of prostate cancer. The aim of this study was to determine the influence of the cannabinoid WIN 55,212-2 (WIN, a non-selective cannabinoid CB1 and CB2 receptor agonist) on the NE differentiation of prostate cancer cells.

Methods: NE differentiation of prostate cancer LNCaP cells was induced by serum deprivation or by incubation with interleukin-6, for 6 days. Levels of NE markers and signaling proteins were determined by western blotting. Levels of cannabinoid receptors were determined by quantitative PCR. The involvement of signaling cascades was investigated by pharmacological inhibition and small interfering RNA.

Results: The differentiated LNCaP cells exhibited neurite outgrowth, and increased the expression of the typical NE markers neuron-specific enolase and βIII tubulin (βIII Tub). Treatment with 3 μM WIN inhibited NK differentiation of LNCaP cells. The cannabinoid WIN downregulated the PI3K/Akt/mTOR signaling pathway, resulting in NE differentiation inhibition. In addition, an activation of AMP-activated protein kinase (AMPK) was observed in WIN-treated cells, which correlated with a decrease in the NE markers expression. Our results also show that during NE differentiation the expression of cannabinoid receptors CB1 and CB2 dramatically decreases.

Conclusions: Taken together, we demonstrate that PI3K/Akt/AMPK might be an important axis modulating NE differentiation of prostate cancer that is blocked by the cannabinoid WIN, pointing to a therapeutic potential of cannabinoids against NE prostate cancer.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5411672PMC
http://dx.doi.org/10.1038/pcan.2016.19DOI Listing

Publication Analysis

Top Keywords

prostate cancer
28
cannabinoid win
16
differentiation prostate
12
lncap cells
12
win 55212-2
8
differentiation
8
neuroendocrine differentiation
8
differentiation lncap
8
cb1 cb2
8
cannabinoid receptors
8

Similar Publications

Purpose: Clinical variables alone have limited ability to determine which patients will have recurrence after radical prostatectomy (RP). We evaluated the ability of locked multimodal artificial intelligence (MMAI) algorithms trained on prostate biopsy specimens to predict prostate cancer specific mortality (PCSM) and overall survival (OS) among patients undergoing radical prostatectomy with digitized RP specimens.

Materials And Methods: The Prostate, Lung, Colorectal, and Ovarian Cancer Screening Randomized Controlled Trial randomized subjects from 1993-2001 to cancer screening or control.

View Article and Find Full Text PDF

The superiority of prostate-specific membrane antigen (PSMA) positron emission tomography (PET) over conventional staging methods such as computed tomography (CT) and bone scintigraphy has now been demonstrated for almost all clinical stages of prostate cancer. In primary diagnostics, PSMA-PET/CT is therefore the new standard for risk-adapted whole-body staging. At the same time, PSMA-PET/CT provides a new risk-based classification for predicting overall survival across all early and late stages of the disease.

View Article and Find Full Text PDF

Purpose To assess the impact of scanner manufacturer and scan protocol on the performance of deep learning models to classify prostate cancer (PCa) aggressiveness on biparametric MRI (bpMRI). Materials and Methods In this retrospective study, 5,478 cases from ProstateNet, a PCa bpMRI dataset with examinations from 13 centers, were used to develop five deep learning (DL) models to predict PCa aggressiveness with minimal lesion information and test how using data from different subgroups-scanner manufacturers and endorectal coil (ERC) use (Siemens, Philips, GE with and without ERC and the full dataset)-impacts model performance. Performance was assessed using the area under the receiver operating characteristic curve (AUC).

View Article and Find Full Text PDF

Structure and hormonal output of the adrenal gland after experimental estrogenization of male rats.

Histol Histopathol

January 2025

Department of Cytology, Institute for Biological Research "Siniša Stanković" - National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia.

Orchidectomy and estrogenization of the male represent a procedure that is applicable in sex reassignment or in prostate cancer therapy. This approach has an influence on the hypothalamic-pituitary-adrenal axis and thus affects cardiovascular function and metabolism. We utilized orchidectomized rats to evaluate the effects of estradiol on the structure and hormonal output of the adrenal gland.

View Article and Find Full Text PDF

Objective: To assess the association between prostate-specific antigen (PSA) density (PSAD) and prostate cancer mortality after a benign result on systematic transrectal ultrasonography (TRUS)-guided prostate biopsy.

Patients And Methods: This retrospective study used data from the Finnish Randomised Study of Screening for Prostate Cancer (FinRSPC) collected between 1996 and 2020. We identified men aged 55-71 years randomised to the screening arm with PSA ≥4.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!