Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Valproic acid achieves its anticancer activity by re-expression of cyclin D2

ABSTRACT: In this study we could show that the treatment of primary murine prostate cancer(PCa) cells derived from the well-established TRAMP (transgenic adenocarcinoma ofmouse prostate) model with the histone deacetylase inhibitor (HDI) valproic acid (VPA) has an anti-proliferative, anti-migrative and anti-invasive effect on the cells.To our knowledge this is the first study that identified that treatment of PCa cells with VPA leads to the re-expression of cyclin D2, which is known to be frequently inactive in patients with PCa. Additionally, we could demonstrate that VPA specifically induces re-expression of cyclin D2 as a family member of the highly conserved Dtype cyclins in human colorectal and mammary gland adenocarcinoma cell lines, whereas VPA treatment has no effect in NIH/3T3 fibroblasts. The observed cyclin D2 re-expression in cancer cells is activated by an increase of histone acetylation in the promoter region of the cyclin D2 gene and might be the underlying molecular mechanism of the inhibition of proliferation of cancer cells after VPA treatment. Taken together, our results confirm VPA as an anticancer therapeutic option in tumors with epigenetically repressed cyclin D2 expression. For the comparison of vpa treatment in murine protate cancer cells we hybridized 3 replicates per condition

ORGANISM(S): Mus musculus

SUBMITTER: Claudia Pommerenke

PROVIDER: E-GEOD-34072 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Valproic acid inhibits the proliferation of cancer cells by re-expressing cyclin D2.

Witt Daria D Burfeind Peter P von Hardenberg Sandra S Opitz Lennart L Salinas-Riester Gabriela G Bremmer Felix F Schweyer Stefan S Thelen Paul P Neesen Jürgen J Kaulfuss Silke S

Carcinogenesis 20130124 5

In this study, primary murine prostate cancer (PCa) cells were derived using the well-established TRAMP model. These PCa cells were treated with the histone deacetylase inhibitor, valproic acid (VPA), and we demonstrated that VPA treatment has an antimigrative, antiinvasive and antiproliferative effect on PCa cells. Using microarray analyses, we discovered several candidate genes that could contribute to the cellular effects we observed. In this study, we could demonstrate that VPA treatment of ...[more]

PMID: 23349020

Similar Datasets

Project description:Prostate cancer (PCa) remains the malignancy with the highest morbidity in men (1). Although early-stage PCa usually causes no symptoms, cancer cells in prostate glands readily metastasize to bones, lymph nodes, lungs, and liver during PCa progression (2). Common strategies, including surgery, radiation therapy, and androgen-deprivation therapy, are promising treatments for early-stage PCa. However, advanced PCa still lacks effective therapeutic strategies (3-5). Thus, researchers are currently focused on inhibiting tumor progression to explore effective therapeutic strategies for PCa treatment (6, 7). Cancer-associated fibroblasts (CAFs), stromal cells derived from normal fibroblasts or epithelia, are one of the major cellular components in the tumor microenvironment (8, 9). Compared with normal fibroblasts, CAFs are activated with increased expression of key protein markers, such as α-SMA, FAP, vimentin and S100A4 protein (10, 11). In the tumor microenvironment, CAFs secrete various growth effectors or cytokines to the extracellular matrix and thereby promote tumor progression by directly enhancing cancer cell growth, angiogenic induction, the extracellular matrix modification, and tumor-promoting inflammatory mediation (11-14). Notably, CAFs could act as an immunosuppressive mediator for the formation of an immunosuppressive tumor environment by recruiting and activating multiple immune cells (15). As such, CAFs might be a potential target in anti-tumor immunotherapy (16, 17). Currently, increased research has focused on inhibiting the immunosuppressive function of prostate cancer-associated fibroblasts (prostate CAFs), which may suggest therapeutic strategies for PCa (18, 19). Polysaccharides from Lentinus edodes are known to exhibit potent anti-tumor and immunomodulatory functions. The anti-tumor mechanisms of L. edodes polysaccharides include regulating the innate immune system by mediating CAF function, preventing tumorigenesis, or directly killing tumor cells via cell cycle regulation or apoptotic induction (20-22). Our previous studies isolated a novel polysaccharide component (MPSSS) from L. edodes. We found the secretome of prostate CAFs treated with MPSSS could inhibit the proliferation of CD4+ and CD8+ T cells, which suggested that MPSSS could prevent the immunosuppressive function of prostate CAFs (22). However, although the secretome of MPSSS-treated prostate CAFs inhibit the proliferation of T cells, how the secretome of MPSSS-treated prostate CAFs affect PCa progression is still unclear. The secretome defines as all proteins secreted by the organism or living cells into the extracellular space, which consists of soluble proteins and extracellular vesicles (EVs) (23). The secretome of prostate CAFs pays vital roles in PCa tumor origination, progression (24, 25). Since EVs contains various molecules (proteins, RNA, DNA and lipid) (26), we speculate that soluble proteins and EVs of prostate CAFs might have the different influence on PCa cells. In this study, the secretome of prostate CAFs untreated/treated with MPSSS were separated into the high molecular weight secretome (>100 kD) and the low molecular weight secretome (3-100 kD) using 100 kD and 3kD MWCO memberane filtration to narrow down the range of active components. The high molecular weight secretome contained extracellular vesicles (EVs) and large soluble proteins, while the low molecular weight secretome contained the small soluble proteins. The secretome of prostate CAFs untreated/treated with MPSSS were used to explore the underlying function and molecular mechanism using quantitative proteomics and multiple biochemical approaches.

Project description:Predicting Outcomes of Prostate Cancer Immunotherapyby Personalized Mathematical Models Natalie Kronik1¤, Yuri Kogan1, Moran Elishmereni1, Karin Halevi-Tobias1, Stanimir Vuk-Pavlovic ́2.,Zvia Agur1*.1Institute for Medical BioMathematics, Bene Ataroth, Israel,2College of Medicine, Mayo Clinic, Rochester, Minnesota, United States of America Abstract Background:Therapeutic vaccination against disseminated prostate cancer (PCa) is partially effective in some PCa patients.We hypothesized that the efficacy of treatment will be enhanced by individualized vaccination regimens tailored by simplemathematical models.Methodology/Principal Findings:We developed a general mathematical model encompassing the basic interactions of avaccine, immune system and PCa cells, and validated it by the results of a clinical trial testing an allogeneic PCa whole-cellvaccine. For model validation in the absence of any other pertinent marker, we used the clinically measured changes inprostate-specific antigen (PSA) levels as a correlate of tumor burden. Up to 26 PSA levels measured per patient were dividedinto each patient’s training set and his validation set. The training set, used for model personalization, contained thepatient’s initial sequence of PSA levels; the validation set contained his subsequent PSA data points. Personalized modelswere simulated to predict changes in tumor burden and PSA levels and predictions were compared to the validation set.The model accurately predicted PSA levels over the entire measured period in 12 of the 15 vaccination-responsive patients(the coefficient of determination between the predicted and observed PSA values wasR2= 0.972). The model could notaccount for the inconsistent changes in PSA levels in 3 of the 15 responsive patients at the end of treatment. Each validatedpersonalized model was simulated under many hypothetical immunotherapy protocols to suggest alternative vaccinationregimens. Personalized regimens predicted to enhance the effects of therapy differed among the patients.Conclusions/Significance:Using a few initial measurements, we constructed robust patient-specific models of PCaimmunotherapy, which were retrospectively validated by clinical trial results. Our results emphasize the potential value andfeasibility of individualized model-suggested immunotherapy protocols.

Dataset Information

Valproic acid achieves its anticancer activity by re-expression of cyclin D2

Publications

Valproic acid inhibits the proliferation of cancer cells by re-expressing cyclin D2.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure