Peroxiredoxins 3 and 4 are overexpressed in prostate cancer tissue and affect the proliferation of prostate cancer cells in vitro.

The present study aimed to investigate the proteome profiling of surgically treated prostate cancers. Hereto, 2D-DIGE and mass spectrometry were performed for protein identification, and data validation for peroxiredoxin 3 and 4 (PRDX3 and PRDX4) was accomplished by reverse phase protein arrays (RPPA). The Formal Concept Analysis (FCA) method was applied to assess whether the TMPRSS2-ERG gene fusion could influence the degree of overexpression of PRDX3 and PRDX4 in prostate cancer. Lastly, we performed an in vitro functional characterization of both PRDX3 and PRDX4 using the classical human prostate cancer cell lines DU145 and LNCaP. Reverse phase protein arrays verified that the overexpression of both PRDX3 and PRDX4 in tumor samples is negatively correlated with the presence of the TMPRSS2-ERG gene fusion. Functional characterization of PRDX3 and PRDX4 activity in PCa cell lines suggests a role of these members of the peroxiredoxin family in the pathophysiology of this tumor entity.

Ubiquitin carboxyl-terminal hydrolase 1 (UCHL1) is a potential tumour suppressor in prostate cancer and is frequently silenced by promoter methylation.

BACKGROUND: We have previously reported significant downregulation of ubiquitin carboxyl-terminal hydrolase 1 (UCHL1) in prostate cancer (PCa) compared to the surrounding benign tissue. UCHL1 plays an important role in ubiquitin system and different cellular processes such as cell proliferation and differentiation. We now show that the underlying mechanism of UCHL1 downregulation in PCa is linked to its promoter hypermethylation. Furthermore, we present evidences that UCHL1 expression can affect the behavior of prostate cancer cells in different ways. RESULTS: Methylation specific PCR analysis results showed a highly methylated promoter region for UCHL1 in 90% (18/20) of tumor tissue compared to 15% (3/20) of normal tissues from PCa patients. Pyrosequencing results confirmed a mean methylation of 41.4% in PCa whereas only 8.6% in normal tissues. To conduct functional analysis of UCHL1 in PCa, UCHL1 is overexpressed in LNCaP cells whose UCHL1 expression is normally suppressed by promoter methylation and found that UCHL1 has the ability to decrease the rate of cell proliferation and suppresses anchorage-independent growth of these cells. In further analysis, we found evidence that exogenous expression of UCHL1 suppress LNCaP cells growth probably via p53-mediated inhibition of Akt/PKB phosphorylation and also via accumulation of p27kip1 a cyclin dependant kinase inhibitor of cell cycle regulating proteins. Notably, we also observed that exogenous expression of UCHL1 induced a senescent phenotype that was detected by using the SA-ß-gal assay and might be due to increased p14ARF, p53, p27kip1 and decreased MDM2. CONCLUSION: From these results, we propose that UCHL1 downregulation via promoter hypermethylation plays an important role in various molecular aspects of PCa biology, such as morphological diversification and regulation of proliferation.

Prostate cancer-associated autoantibodies in serum against tumor-associated antigens as potential new biomarkers.

The limitations of the current prostate cancer (PCa) screening tests demands new biomarkers for early diagnosis of PCa. In this study, we aim to investigate serum autoantibody signatures as PCa specific biomarkers. PCa proteins were resolved by 2-DE and then transferred onto polyvinylidene difluoride membrane, which were subsequently incubated with either pooled serum from PCa patients or from normal controls. Mass spectrometry results have identified 18 antigens from 21 different 2-DE spots associated with PCa. Autoantibody response to antigens PRDX2, PRDX6 and ANXA11 in PCa patient's sera was confirmed using recombinant antigens. Further validation with an independent set of PCa patient's sera have shown relatively increased abundance of PRDX6 and ANXA11 antibodies in PCa patients. Formal concept analysis method was applied to assess whether the abundance of these autoantibodies could influence the classification of patients. However, sensitivity of the single antibody to discriminate prostate tumor and healthy controls varies from 70% to 80%, whereas combination of both PRDX6 and ANXA11 antibodies increased sensitivity to 90% for tumors and 100% for healthy controls. Therefore, we hereby report that the detection of these antibodies in PCa patient's serum in combination with the existing non-invasive diagnostic procedures may have significance in PCa diagnosis. BIOLOGICAL SIGNIFICANCE: The present study aimed to investigate serum autoantibody signatures as new biomarkers for early diagnosis of prostate cancer (PCa). To investigate serum autoantibodies in patients with PCa, we used proteomics approach based on two-dimensional gel electrophoresis (2-DE) and mass spectrometry. Total tissue proteins extracted from prostate were separated by 2-DE and then transferred onto polyvinylidene difluoride (PVDF) membrane, which were subsequently incubated with either pooled serum from PCa patients or from normal controls with no history for PCa. Proteomic analysis results have identified 18 antigens that showed antibody response specifically to cancer patient's serum. For validation experiments using recombinant antigens, confirmed autoantibody response to three antigens PRDX2, PRDX6 and ANXA11. Further validation using a second independent set of PCa patient's sera has shown relatively increased abundance of PRDX6 and ANXA11 antibodies specifically in PCa patients. Partition analysis of patients based on abundance of autoantibodies highlighted a combination of both PRDX6 and ANXA11 antibodies in serum with 90% sensitivity in case of tumors and 100% in case of healthy controls. Therefore, we hereby report that the detection of these antibodies in PCa patient's serum in combination with known markers may have significance in diagnosis of PCa with further validation in larger cohort of samples.

Proteome analysis of the effects of all-trans retinoic acid on human germ cell tumor cell lines.

We analysed the effects of all-trans retinoic acid (ATRA) on proliferation and changes in the global proteome of the nullipotent human embryonal carcinoma cell line 2102Ep and the pluripotent cell line NTERA2 cl.D1 (NT2). Differentially expressed proteins were assessed by 2D-PAGE and mass spectrometry, followed by verification and analysis of protein modifications of proteins of the retinoid pathway. We established a proteome map of the germ cell tumor (GCT) cell line NT2 showing neuronal differentiation under ATRA treatment for 7days. Using bioinformatic analyses, we identified functional groups of altered proteins and potentially involved pathways, of which changes to the organization of the cytoskeleton and anti-apoptotic effects were the most prominent. Changes observed in the expression of factors involved in the retinoid pathway under ATRA, namely an upregulation of CRBP and CRABP2, were also reflected in GCT tissues of different histologies, providing further insight into factors involved in the differentiation of these pluripotent tumors. BIOLOGICAL SIGNIFICANCE: Treatment of NT2 germ cell tumor cells with all-trans retinoic acid (ATRA) is a model to investigate differentiation. We analysed differentially expressed proteins by 2D-PAGE and mass spectrometry and provide a proteome map of NT2 cells under 7days of ATRA. By bioinformatic analyses, functional groups of proteins and involved pathways like changes to the cytoskeleton and anti-apoptotic effects were identified. Factors involved in the retinoid pathway, in particular upregulation of CRBP, CRABP1 and CRABP2, also showed differential expression in tumors with different histological subtypes, which provides insight into gene regulation under induced and spontaneous differentiation in germ cell tumors.

Combination of a proteomics approach and reengineering of meso scale network models for prediction of mode-of-action for tyrosine kinase inhibitors.

In drug discovery, the characterisation of the precise modes of action (MoA) and of unwanted off-target effects of novel molecularly targeted compounds is of highest relevance. Recent approaches for identification of MoA have employed various techniques for modeling of well defined signaling pathways including structural information, changes in phenotypic behavior of cells and gene expression patterns after drug treatment. However, efficient approaches focusing on proteome wide data for the identification of MoA including interference with mutations are underrepresented. As mutations are key drivers of drug resistance in molecularly targeted tumor therapies, efficient analysis and modeling of downstream effects of mutations on drug MoA is a key to efficient development of improved targeted anti-cancer drugs. Here we present a combination of a global proteome analysis, reengineering of network models and integration of apoptosis data used to infer the mode-of-action of various tyrosine kinase inhibitors (TKIs) in chronic myeloid leukemia (CML) cell lines expressing wild type as well as TKI resistance conferring mutants of BCR-ABL. The inferred network models provide a tool to predict the main MoA of drugs as well as to grouping of drugs with known similar kinase inhibitory activity patterns in comparison to drugs with an additional MoA. We believe that our direct network reconstruction approach, demonstrated on proteomics data, can provide a complementary method to the established network reconstruction approaches for the preclinical modeling of the MoA of various types of targeted drugs in cancer treatment. Hence it may contribute to the more precise prediction of clinically relevant on- and off-target effects of TKIs.

Identification of clinically relevant protein targets in prostate cancer with 2D-DIGE coupled mass spectrometry and systems biology network platform.

Prostate cancer (PCa) is the most common type of cancer found in men and among the leading causes of cancer death in the western world. In the present study, we compared the individual protein expression patterns from histologically characterized PCa and the surrounding benign tissue obtained by manual micro dissection using highly sensitive two-dimensional differential gel electrophoresis (2D-DIGE) coupled with mass spectrometry. Proteomic data revealed 118 protein spots to be differentially expressed in cancer (n = 24) compared to benign (n = 21) prostate tissue. These spots were analysed by MALDI-TOF-MS/MS and 79 different proteins were identified. Using principal component analysis we could clearly separate tumor and normal tissue and two distinct tumor groups based on the protein expression pattern. By using a systems biology approach, we could map many of these proteins both into major pathways involved in PCa progression as well as into a group of potential diagnostic and/or prognostic markers. Due to complexity of the highly interconnected shortest pathway network, the functional sub networks revealed some of the potential candidate biomarker proteins for further validation. By using a systems biology approach, our study revealed novel proteins and molecular networks with altered expression in PCa. Further functional validation of individual proteins is ongoing and might provide new insights in PCa progression potentially leading to the design of novel diagnostic and therapeutic strategies.

Abcg2 overexpression represents a novel mechanism for acquired resistance to the multi-kinase inhibitor Danusertib in BCR-ABL-positive cells in vitro.

The success of Imatinib (IM) therapy in chronic myeloid leukemia (CML) is compromised by the development of IM resistance and by a limited IM effect on hematopoietic stem cells. Danusertib (formerly PHA-739358) is a potent pan-aurora and ABL kinase inhibitor with activity against known BCR-ABL mutations, including T315I. Here, the individual contribution of both signaling pathways to the therapeutic effect of Danusertib as well as mechanisms underlying the development of resistance and, as a consequence, strategies to overcome resistance to Danusertib were investigated. Starting at low concentrations, a dose-dependent inhibition of BCR-ABL activity was observed, whereas inhibition of aurora kinase activity required higher concentrations, pointing to a therapeutic window between the two effects. Interestingly, the emergence of resistant clones during Danusertib exposure in vitro occurred considerably less frequently than with comparable concentrations of IM. In addition, Danusertib-resistant clones had no mutations in BCR-ABL or aurora kinase domains and remained IM-sensitive. Overexpression of Abcg2 efflux transporter was identified and functionally validated as the predominant mechanism of acquired Danusertib resistance in vitro. Finally, the combined treatment with IM and Danusertib significantly reduced the emergence of drug resistance in vitro, raising hope that this drug combination may also achieve more durable disease control in vivo.

Adaptive secretion of granulocyte-macrophage colony-stimulating factor (GM-CSF) mediates imatinib and nilotinib resistance in BCR/ABL+ progenitors via JAK-2/STAT-5 pathway activation.

Overcoming imatinib mesylate (IM) resistance and disease persistence in patients with chronic myeloid leukemia (CML) is of considerable importance to the issue of potential cure. Here we asked whether autocrine signaling contributes to survival of BCR/ABL+ cells in the presence of IM and nilotinib (NI; AMN107), a novel, more selective Abl inhibitor. Conditioned media (CM) of IM-resistant LAMA84 cell clones (R-CM) was found to substantially protect IM-naive LAMA cells and primary CML progenitors from IM- or NI-induced cell death. This was due to an increased secretion of the granulocyte-macrophage colony-stimulating factor (GM-CSF), which was identified as the causative factor mediating IM resistance in R-CM. GM-CSF elicited IM and NI drug resistance via a BCR/ABL-independent activation of the janus kinases 2 (JAK-2)/signal transducer and activator of transcription 5 (STAT-5) signaling pathway in GM-CSF receptor alpha receptor (CD116)-expressing cells, including primary CD34+/CD116+ GM progenitors (GMPs). Elevated mRNA and protein levels of GM-CSF were detected in IM-resistant patient samples, suggesting a contribution of GM-CSF secretion for IM and NI resistance in vivo. Importantly, inhibition of JAK-2 with AG490 abrogated GM-CSF-mediated STAT-5 phosphorylation and NI resistance in vitro. Together, adaptive autocrine secretion of GM-CSF mediates BCR/ABL-independent IM and NI resistance via activation of the antiapoptotic JAK-2/STAT-5 pathway. Inhibition of JAK-2 overcomes GM-CSF-induced IM and NI progenitor cell resistance, providing a rationale for the application of JAK-2 inhibitors to eradicate residual disease in CML.