Therapeutic Target For Prostate Cancer Research Articles

Abstract C097: PVT1 exon 9-dependent overexpression of RSAD2 is a characteristic of prostate cancer in males of African ancestry

Abstract Aggressive prostate cancer (PCa), including castrate-resistant and neuroendocrine subtypes, is projected to increase in incidence 5% each year. Aggressive PCa disproportionally impacts African American men, has limited effective treatment options and high mortality rates. Although racial disparities are established in PCa development, attributed to multiple contributory factors including systemic racism, differences in socioeconomic status and distrust in the medical system, work is still needed to understand the contribution of biological factors. We found the exon 9 region of plasmacytoma variant translocation 1 (PVT1) overexpressed in aggressive PCa cell lines derived from African American (AA) men. We found PVT1 exon 9 overexpression induced phenotypic changes to normal prostate epithelial cells in vitro and led to tumor formation in vivo. RNA-sequencing analysis revealed 156 significantly differentially expressed genes influenced by PVT1 exon 9 overexpression and radical S-adenosyl methionine domain containing 2 (RSAD2) was the top significantly overexpressed gene (log2Fold change 1.71, p-value < 0.05). We utilized the GSE223405 publicly available dataset to identify whether our identified PVT1 exon 9 downstream genes were enriched in AA prostate cancer cells. RSAD2 was significantly overexpressed in AA prostate cancer cells compared to prostate cancer cells from men of European ancestry (moEA) (log2Fold change 6.18, p-value < 0.05). Comparing normal cells to prostate cancer cells between these groups, we found that normal AA prostate cells had significantly higher expression of RSAD2 (log2fold change 4.25, p-value < 0.001) whereas moEA samples did not (log2fold change 0.837, p-value=0.150). From analysis of data obtained from cBioPortal, we found RSAD2 alteration significantly correlates (p-value < 0.001) with self-identified race and copy number overexpression of RSAD2 was found to be enriched in AA patients (18.16% moEA versus 24% AA). Finally, we found 88.6% of the significantly differentially expressed genes within our PVT1 exon 9 RNA-sequencing dataset were significantly differentially expressed in GSE223405 AA samples and of those, 51.7% of genes exhibited a similar differential expression pattern suggesting that the PVT1 exon 9/RSAD2 dependent pathway may be more prominent in AA men. Mechanistically, we found two differing pathways of RSAD2 overexpression in aggressive prostate cancer cell models, one dependent and one independent of PVT1 exon 9 overexpression, with similar but differing biological functions related to epigenetic processes and metabolism. Ongoing work is investigating the RSAD2 and PVT1 exon 9 expression axis in a diverse set of human prostate cancer tissues and investigating their utilization as a therapeutic target in prostate cancer. Citation Format: Rachel E. Sexton-Bonacci1, Murtaza Barkarar1, Chindeum Udekwu1, Olorunseun O. Ogunwobi1. PVT1 exon 9-dependent overexpression of RSAD2 is a characteristic of prostate cancer in males of African ancestry [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C097.

Machine learning based androgen receptor regulatory gene-related random forest survival model for precise treatment decision in prostate cancer

BackgroundIt has been demonstrated that aberrant androgen receptor (AR) signaling contributes to the pathogenesis of prostate cancer (PCa). To date, the most efficacious strategy for the treatment of PCa remains to target the AR signaling axis. However, numerous PCa patients still face the issue of overtreatment or undertreatment. The establishment of a precise risk prediction model is urgently needed to distinguish patients with high-risk and select appropriate treatment modalities. MethodsIn this study, a consensus AR regulatory gene-related signature (ARS) was developed by integrating a total of 101 algorithm combinations of 10 machine learning algorithms. We evaluated the value of ARS in predicting patient prognosis and the therapeutic effects of the various treatments. Additionally, we conducted a screening of therapeutic targets and agents for high-risk patients, followed by the verification in vitro and in vivo. ResultsARS was an independent risk factor for biochemical recurrence and distant metastasis in PCa patients. The enhanced and consistent prognostic predictive capability of ARS across various platforms was confirmed when compared with 44 previously published signatures. More importantly, PCa patients in the ARShigh group benefit more from PARP inhibitors and immunotherapy, while chemotherapy, radiotherapy, and AR-targeted therapy are more effective for ARSlow patients. The results of in silico screening suggest that AURKB could potentially serve as a promising therapeutic target for ARShigh patients. ConclusionsCollectively, this prediction model based on AR regulatory genes holds great clinical translational potential to solve the dilemma of treatment choice and identify potential novel therapeutic targets in PCa.

Exploration of PVT1 as a biomarker in prostate cancer.

Prostate cancer is a malignant tumor originating from the prostate gland, significantly affecting patients' quality of life and survival rates. Public data was utilized to identify differentially expressed genes (DEGs). Weighted gene co-expression network analysis was constructed to classify gene modules. Functional enrichment analysis was performed through Kyoto Encyclopedia of Genes and Genomes and gene ontology annotations, with results visualized using the Metascape database. Additionally, gene set enrichment analysis evaluated gene expression profiles and related pathways, constructed a protein-protein interaction network to predict core genes, analyzed survival data, plotted heatmaps and radar charts, and predicted microRNAs for core genes through miRTarBase. Two prostate cancer datasets (GSE46602 and GSE55909) were analyzed, identifying 710 DEGs. Gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses revealed that DEGs were primarily involved in organic acid metabolism and the P53 signaling pathway. Gene set enrichment analysis and Metascape analyses further confirmed the significance of these pathways. After constructing the weighted gene co-expression network analysis network, 3 core genes (DDX21, NOP56, plasmacytoma variant translocation 1 [PVT1]) were identified. Survival analysis indicated that core genes are closely related to patient prognosis. Through comparative toxicogenomics database and miRNA prediction analysis, PVT1 was considered to play a crucial role in the development of prostate cancer. The PVT1 gene is highly expressed in prostate cancer and has the potential to become a diagnostic biomarker and therapeutic target for prostate cancer.

NL13, a novel curcumin analogue and polo like kinase 4 inhibitor, induces cell cycle arrest and apoptosis in prostate cancer models.

Prostate cancer remains a major public health burden worldwide. Polo like kinase 4 (PLK4) has emerged as a promising therapeutic target in prostate cancer due to its key roles in cell cycle regulation and tumour progression. This study aims to develop and characterize the novel curcumin analogue NL13 as a potential therapeutic agent and PLK4 inhibitor against prostate cancer. NL13 was synthesized and its effects were evaluated in prostate cancer cells and mouse xenograft models. Kinome screening and molecular modelling identified PLK4 as the primary target. Antiproliferative and proapoptotic mechanisms were explored via cell cycle, apoptosis, gene and protein analyses. Compared with curcumin, NL13 exhibited much greater potency in inhibiting PC3 (IC50, 3.51 μM vs. 35.45 μM) and DU145 (IC50, 2.53 μM vs. 29.35 μM) prostate cancer cells viability and PLK4 kinase activity (2.32 μM vs. 246.88 μM). NL13 induced G2/M cell cycle arrest through CCNB1/CDK1 down-regulation and triggered apoptosis via caspase-9/caspase-3 cleavage. These effects were mediated by PLK4 inhibition, which led to the inactivation of the AKT signalling pathway. In mice, NL13 significantly inhibited tumour growth and modulated molecular markers consistent with in vitro findings, including decreased p-AKT and increased cleaved caspase-9/3. NL13, a novel PLK4-targeted curcumin analogue, exerts promising anticancer properties against prostate cancer by disrupting the PLK4-AKT-CCNB1/CDK1 and apoptosis pathways. NL13 represents a promising new agent for prostate cancer therapy.

NAT10 Promotes Prostate Cancer Growth and Metastasis by Acetylating mRNAs of HMGA1 and KRT8.

N4-acetylcytidine (ac4C) is essential for the development and migration of tumor cells. According to earlier research, N-acetyltransferase 10 (NAT10) can increase messenger RNAs (mRNAs) stability by catalyzing the synthesis of ac4C. However, little is known about NAT10 expression and its role in the acetylation modifications in prostate cancer (PCa). Thus, the biological function of NAT10 in PCa is investigated in this study. Compared to paraneoplastic tissues, the expression of NAT10 is significantly higher in PCa. The NAT10 expression is strongly correlated with the pathological grade, clinical stage, Gleason score, T-stage, and N-stage of PCa. NAT10 has the ability to advance the cell cycle and the epithelial-mesenchymal transition (EMT), both of which raise the malignancy of tumor cells. Mechanistically, NAT10 enhance the stability of high mobility group AT-hook 1 (HMGA1) by acetylating its mRNA, thereby promoting cell cycle progression to improve cell proliferation. In addition, NAT10 improve the stability of Keratin 8 (KRT8) by acetylating its mRNA, which promotes the progression of EMT to improve cell migration. This findings provide a potential prognostic or therapeutic target for PCa.

GPC2 promotes prostate cancer progression via MDK-mediated activation of PI3K/AKT signaling pathway

Prostate cancer is a major medical problem for men worldwide. Advanced prostate cancer is currently incurable. Recently, much attention was paid to the role of GPC2 in the field of oncology. Nevertheless, there have been no investigations of GPC2 and its regulatory mechanism in prostate cancer. Here, we revealed a novel action of GPC2 and a tumor promoting mechanism in prostate cancer. GPC2 was upregulated in prostate cancer tissues and cell lines. Higher expression of GPC2 was correlated with higher Gleason score, lymphatic metastasis, and worse overall survival in prostate cancer patients. Decreased expression of GPC2 inhibited cell proliferation, migration, and invasion in prostate cancer, whereas GPC2 overexpression promoted these properties. Mechanistically, GPC2 promoted the activation of PI3K/AKT signaling pathway through MDK. The rescue assay results in prostate cancer cells demonstrated that overexpression of MDK could attenuate GPC2 knockdown induced inactivation of PI3K/AKT signaling and partly reverse GPC2 knockdown induced inhibition of cell proliferation, migration, and invasion. In all, our study identified GPC2 as an oncogene in prostate cancer. GPC2 promoted prostate cancer cell proliferation, migration, and invasion via MDK-mediated activation of PI3K/AKT signaling pathway. GPC2 might be a promising prognosis predictor and potential therapeutic target in prostate cancer.

LncRNA PITPNA-AS1 mediates the diagnostic potential of miR-129-5p in prostate cancer

BackgroundLncRNA has an effective value in many diseases, which has long been applied in the diagnosis, treatment and prognosis of prostate cancer. This study focused on lncRNA PITPNA-AS1, and its diagnostic potential in prostate cancer has been explored.MethodsThe expression of PITPNA-AS1 and miR-129-5p in prostate cancer serum and sample cells was determined by real-time quantitative polymerase chain reaction (RT-qPCR). The relationship between the expression of PITPNA-AS1 and clinicopathological parameters was considered. ROC curve prompted the diagnostic value of PITPNA-AS1. The effect of PITPNA-AS1 on prostate cancer cells was verified using vitro cells assay. Luciferase activity assay and RIP assay demonstrated the sponge relationship of PITPNA-AS1 to miR-129-5p.ResultsPITPNA-AS1 level was increased, while miR-129-5p was obviously decreased in prostate cancer. PITPNA-AS1 expression was associated with Gleason grade, lymph node metastasis and TNM stage in patients. The area under the curve (AUC) was 0.910, with high sensitivity and specificity. PITPNA-AS1 was elucidated to directly target miR-129-5p, whereas silencing PITPNA-AS1 negatively affected prostate cancer cell proliferation, migration and invasion. Intervention of miR-129-5p inhibitor reversed the effect of silencing PITPNA-AS1 on cells.ConclusionsPITPNA-AS1 was relatively highly expressed in prostate cancer and mediated the pathophysiological process of patients, which may serve as a diagnostic indicator. Silencing of the PITPNA-AS1 sponge miR-129-5p inhibited the biological function of the cells, indicating that PITPNA-AS1 may represent a novel therapeutic target for prostate cancer.

Biological determinants of PSMA expression, regulation and heterogeneity in prostate cancer.

Prostate-specific membrane antigen (PSMA) is an important cell-surface imaging biomarker and therapeutic target in prostate cancer. The PSMA-targeted theranostic 177Lu-PSMA-617 was approved in 2022 for men with PSMA-PET-positive metastatic castration-resistant prostate cancer. However, not all patients respond to PSMA-radioligand therapy, in part owing to the heterogeneity of PSMA expression in the tumour. The PSMA regulatory network is composed of a PSMA transcription complex, an upstream enhancer that loops to the FOLH1 (PSMA) gene promoter, intergenic enhancers and differentially methylated regions. Our understanding of the PSMA regulatory network and the mechanisms underlying PSMA suppression is evolving. Clinically, molecular imaging provides a unique window into PSMA dynamics that occur on therapy and with disease progression, although challenges arise owing to the limited resolution of PET. PSMA regulation and heterogeneity - including intertumoural and inter-patient heterogeneity, temporal changes, lineage dynamics and the tumour microenvironment - affect PSMA theranostics. PSMA response and resistance to radioligand therapy are mediated by a number of potential mechanisms, and complementary biomarkers beyond PSMA are under development. Understanding the biological determinants of cell surface target regulation and heterogeneity can inform precision medicine approaches to PSMA theranostics as well as other emerging therapies.

Casein Kinase 1α-A Target for Prostate Cancer Therapy?

The androgen receptor (AR) is a key driver of prostate cancer (PCa) and, as such, current mainstay treatments target this molecule. However, resistance commonly arises to these therapies and, therefore, additional targets must be evaluated to improve patient outcomes. Consequently, alternative approaches for indirectly targeting the AR are sought. AR crosstalk with other signalling pathways, including several protein kinase signalling cascades, has been identified as a potential route to combat therapy resistance. The casein kinase 1 (CK1) family of protein kinases phosphorylate a multitude of substrates, allowing them to regulate a diverse range of pathways from the cell cycle to DNA damage repair. As well as its role in several signalling pathways that are de-regulated in PCa, mutational data suggest its potential to promote prostate carcinogenesis. CK1α is one isoform predicted to regulate AR activity via phosphorylation and has been implicated in the progression of several other cancer types. In this review, we explore how the normal biological function of CK1 is de-regulated in cancer, the impact on signalling pathways and how this contributes towards prostate tumourigenesis, with a particular focus on the CK1α isoform as a novel therapeutic target for PCa.

Targeting prostate cancer via therapeutic targeting of PIM-1 kinase by Naringenin and Quercetin

PIM-1 kinase belongs to the Ser/Thr kinases family, an attractive therapeutic target for prostate cancer. Here, we screened about 100 natural substances to find potential PIM-1 inhibitors. Two natural compounds, Naringenin and Quercetin, were finally selected based on their PIM-1 inhibitory potential and binding affinities. The docking score of Naringenin and Quercetin with PIM-1 is −8.4 and − 8.1 kcal/mol, respectively. Fluorescence binding studies revealed a strong affinity (Ka values, 3.1 × 104 M−1 and 4.6 × 107 M−1 for Naringenin and Quercetin, respectively) with excellent IC50 values for Naringenin and Quercetin (28.6 μM and 34.9 μM, respectively). Both compounds inhibited the growth of prostate cancer cells (LNCaP) in a dose-dependent manner, with the IC50 value of Naringenin at 17.5 μM and Quercetin at 8.88 μM. To obtain deeper insights into the PIM-1 inhibitory effect of Naringenin and Quercetin, we performed extensive molecular dynamics simulation studies, which provided insights into the binding mechanisms of PIM-1 inhibitors. Finally, Naringenin and Quercetin were suggested to serve as potent PIM-1 inhibitors, offering targeted treatments of prostate cancer. In addition, our findings may help to design novel Naringenin and Quercetin derivatives that could be effective in therapeutic targeting of prostate cancer.

Target repositioning using multi-layer networks and machine learning: The case of prostate cancer

The discovery of novel therapeutic targets, defined as proteins which drugs can interact with to induce therapeutic benefits, typically represent the first and most important step of drug discovery. One solution for target discovery is target repositioning, a strategy which relies on the repurposing of known targets for new diseases, leading to new treatments, less side effects and potential drug synergies. Biological networks have emerged as powerful tools for integrating heterogeneous data and facilitating the prediction of biological or therapeutic properties. Consequently, they are widely employed to predict new therapeutic targets by characterizing potential candidates, often based on their interactions within a Protein-Protein Interaction (PPI) network, and their proximity to genes associated with the disease. However, over-reliance on PPI networks and the assumption that potential targets are necessarily near known genes can introduce biases that may limit the effectiveness of these methods. This study addresses these limitations in two ways. First, by exploiting a multi-layer network which incorporates additional information such as gene regulation, metabolite interactions, metabolic pathways, and several disease signatures such as Differentially Expressed Genes, mutated genes, Copy Number Alteration, and structural variants. Second, by extracting relevant features from the network using several approaches including proximity to disease-associated genes, but also unbiased approaches such as propagation-based methods, topological metrics, and module detection algorithms. Using prostate cancer as a case study, the best features were identified and utilized to train machine learning algorithms to predict 5 novel promising therapeutic targets for prostate cancer: IGF2R, C5AR, RAB7, SETD2 and NPBWR1.

USP47 deficiency in mice modulates tumor infiltrating immune cells and enhances antitumor immune responses in prostate cancer

This study investigates the role of USP47, a deubiquitinating enzyme, in the tumor microenvironment and its impact on antitumor immune responses. Analysis of TCGA database revealed distinct expression patterns of USP47 in various tumor tissues and normal tissues. Prostate adenocarcinoma showed significant downregulation of USP47 compared to normal tissue. Correlation analysis demonstrated a positive association between USP47 expression levels and infiltrating CD8+ T cells, neutrophils, and macrophages, while showing a negative correlation with NKT cells. Furthermore, using Usp47 knockout mice, we observed a slower tumor growth rate and reduced tumor burden. The absence of USP47 led to increased infiltration of immune cells, including neutrophils, macrophages, NK cells, NKT cells, and T cells. Additionally, USP47 deficiency resulted in enhanced activation of cytotoxic T lymphocytes (CTLs) and altered T cell subsets within the tumor microenvironment. These findings suggest that USP47 plays a critical role in modulating the tumor microenvironment and promoting antitumor immune responses, highlighting its potential as a therapeutic target in prostate cancer.

Integrating single-cell RNA-sequencing and bulk RNA-sequencing data to explore the role of mitophagy-related genes in prostate cancer

Prostate cancer (PCa) is the most common malignancy of the male urinary system. Mitophagy, as a type of autophagy, can remove damaged mitochondria in cells. Mitophagy-related genes (MRGs) have been shown to play critical roles in the development of PCa. To this end, based on the comprehensive analysis of RNA-seq and scRNA-seq data of PCa samples and their controls, this paper identified PCa subtypes and constructed a prognostic model. In this paper, we downloaded scRNA-seq and RNA-seq data from Gene Expression Omnibus (GEO) and TCGA database. Based on the R package “Seurat” to process the scRNA-seq data, a total of five cell types were identified. Each cell population was scored based on the R package “AUCell” and using the intersection genes between MRGs and each cell population. The B cell population was then identified as a high-scoring cell population. Differentially expressed genes in RNA-seq data were identified based on the R package “limma” and intersected with previously intersected genes. Then, based on univariate Cox regression analysis and Lasso-Cox regression analysis, the prognostic genes were screened, and the risk model was constructed (composed of ADH5, CAT, BCAT2, DCXR, OGT, and FUS). The model is validated on internal and external test sets. Independent prognostic analysis identified age, N stage, and risk score as independent prognostic factors. This paper's risk models and prognostic genes can provide a reference for developing novel therapeutic targets for PCa.

Blocking lipid synthesis induces DNA damage in prostate cancer and increases cell death caused by PARP inhibition.

Androgen deprivation therapy (ADT) is the primary treatment for prostate cancer; however, resistance to ADT invariably develops, leading to castration-resistant prostate cancer (CRPC). Prostate cancer progression is marked by increased de novo synthesis of fatty acids due to overexpression of fatty acid synthase (FASN), making this enzyme a therapeutic target for prostate cancer. Inhibition of FASN results in increased intracellular amounts of ceramides and sphingomyelin, leading to DNA damage through the formation of DNA double-strand breaks and cell death. We found that combining a FASNi with the poly-ADP ribose polymerase (PARP) inhibitor olaparib, which induces cell death by blocking DNA damage repair, resulted in a more pronounced reduction in cell growth than that caused by either drug alone. Human CRPC organoids treated with a combination of PARP and FASNi were smaller, had decreased cell proliferation, and showed increased apoptosis and necrosis. Together, these data indicate that targeting FASN increases the therapeutic efficacy of PARP inhibitors by impairing DNA damage repair, suggesting that combination therapies should be explored for CRPC.

Exploration of vitamin D metabolic activity-related biological effects and corresponding therapeutic targets in prostate cancer

BackgroundPrevious studies have unequivocally demonstrated that the vitamin D (VD) metabolism pathway significantly influences prognosis and sensitivity to hormone therapy in prostate cancer (PCa). However, the precise underlying mechanism remains unclear.MethodsWe performed molecular profiling of 1045 PCa patients, leveraging genes linked to VD synthesis and VD receptors. We then identified highly variable gene modules with substantial associations with patient stratification. Subsequently, we intersected these modules with differentially expressed genes between PCa and adjacent paracancerous tissues. Following a meticulous process involving single-factor regression and LASSO regression to eliminate extraneous variables and construct a prognostic model. Within the high-risk subgroup defined by the calculated risk score, we analyzed their differences in cell infiltration, immune status, mutation landscape, and drug sensitivity. Finally, we selected Apolipoprotein E (APOE), which featured prominently in this model for further experimental exploration to evaluate its potential as a therapeutic target.ResultsThe prognostic model established in this study had commendable predictive efficacy. We observed diminished infiltration of various T-cell subtypes and reduced expression of co-stimulatory signals from antigen-presenting cells. Mutation analysis revealed that the high-risk cohort harbored a higher frequency of mutations in the TP53 and FOXA genes. Notably, drug sensitivity analysis suggested the heightened responsiveness of high-risk patients to molecular inhibitors targeting the Bcl-2 and MAPK pathways. Finally, our investigation also confirmed that APOE upregulates the proliferative and invasive capacity of PCa cells and concurrently enhances resistance to androgen receptor antagonist therapy.ConclusionThis comprehensive study elucidated the potential mechanisms through which this metabolic pathway orchestrates the biological behavior of PCa and findings hold promise in advancing the development of combination therapies in PCa.

NCAPD3 exerts tumor-promoting effects in prostatic cancer via dual impact on miR-30a-5p by STAT3-MALAT1 and MYC

Non-SMC condensin II complex subunit D3 (NCAPD3) is a subunit of the non-structural maintenance of chromosomes condensin II complex, which involves chromosome condensation and segregation during mitosis. NCAPD3 has recently been demonstrated as a crucial oncogenic factor. However, the underlying mechanism of NCAPD3 in prostate cancer (PCa) remains not completely clear. In this study, we confirmed that lncRNA MALAT1 was induced by NCAPD3-STAT3, and the expression of miR-30a-5p was controlled by NCAPD3 in PCa cells by miRNA-seq. Through quantitative real-time PCR, fluorescence in situ hybridization, western blotting, and immunohistochemistry assay, we demonstrated that miR-30a-5p was lowly expressed in PCa cells and tissues compared to the controls, which was contrary to NCAPD3 expression and markedly downregulated by NCAPD3. Then, MALAT1 was analyzed for the complementary sequence in the potential interaction with miR-30a-5p by using the predicted target module of public databases. Dual-luciferase reporter assay and RNA immunoprecipitation were carried out to verify that MALAT1 functioned as a sponge for miR-30a-5p to reduce miR-30a-5p expression. Meanwhile, MYC acted as a transcriptional repressor to directly bind the promoter of the miR-30a-5p located gene and repress the miR-30a-5p expression. Furthermore, the upregulation of NCAPD3 on cell viability and migration was significantly attenuated in PC-3 cells when miR-30a-5p was overexpressed. NCAPD3 overexpression also accelerated tumor growth in the xenograft mouse model and repressed miR-30-5p. In summary, this work elucidates NCAPD3 inhibits miR-30a-5p through two pathways: increasing STAT3-MALAT1 to sponge miR-30a-5p and increasing MYC to directly inhibit miR-30a-5p transcription, which could serve as potential therapeutic targets for prostate cancer.

Abstract 5577: TRPM8 mediated Ca2+ signaling as a therapeutic target in prostate cancer

Abstract Prostate cancer (PC) is a prevalent and deadly malignancy, necessitating the development of innovative therapeutic strategies. Transient receptor potential melastatin 8 (TRPM8), an ion channel highly expressed in prostate epithelium, has emerged as a potential target. Our preliminary studies demonstrate that TRPM8 plays a crucial role in PC progression. We observed an initial increase in TRPM8 mRNA expression during early-stage PC, followed by a decline in advanced and androgen-independent prostate cancer (AIPC) stages. Additionally, TRPM8 knockout mice exhibited elevated serum testosterone levels, heightened androgen receptor (AR) activity, and increased cell cycle, invasion, and adhesion-related effects. In xenograft models, TRPM8 demonstrated potent antitumor properties in both AR+ and AR- contexts. Our research suggests that TRPM8 activation on the plasma membrane promotes calcium influx and induces apoptosis in PC cells. Conversely, TRPM8 internalization correlates with PC pathogenesis. By exploring the effects of TRPM8 on PTEN-mediated cellular signaling, we aim to uncover novel insights into the molecular mechanisms underlying TRPM8's role in PC. This abstract underscores the potential of targeting TRPM8-mediated Ca2+ signaling as a promising therapeutic approach to combat PC progression, offering hope for improved patient outcomes. Citation Format: Swapna Asuthkar, Kiran Velpula, Vander Don Griend. TRPM8 mediated Ca2+ signaling as a therapeutic target in prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5577.

Abstract 462: Developing the miR-888 cluster as a therapeutic target for prostate cancer

Abstract Prostate Cancer (PCa) is a serious health crisis in the United States. 20% of men diagnosed with PCa will progress to fast-growing, advanced disease. There are no curative treatment options for PCa that has spread to distant sites and the 5-year survival rate for metastatic disease remains 30%. Recognizing the need for better PCa therapeutics, we are developing novel anti-microRNA delivery reagents targeted against the noncoding RNA miR-888 cluster to block prostate tumor progression. Our lab identified these oncomiRs in a biomarker discovery screen as elevated in human metastatic PCa cell lines and prostatic fluids from patients with high-grade PCa. We noted that over-expression of miR-888 cluster members (miR-888, miR-891a) promoted prostate cell growth and induced invasiveness in vitro. miR-888 and miR-891a also accelerated xenograft tumor growth in mice. Treatment of aggressive PCa cells in culture with synthetic antisense inhibitors against individual cluster members reversed these growth and invasion phenotypes, highlighting their clinical potential. We are testing pH Low Insertion Peptide (pHLIP)-Peptide Nucleic Acid (PNA)-based antimiR conjugates against miR-888 and miR-891a. The delivery vehicle pHLIP is a 36-amino acid peptide that at low pH (< pH 6.5) adopts an alpha-helical conformational change and facilitates the insertion of its C-terminus across lipid bilayers to transport conjugated anti-miRNA cargo into cells. When administered systemically, pHLIP effectively targets solid tumors with acidic microenvironments. We found that these reagents are readily internalized by human PCa cells cultured at pH 6.0 and in prostate xenograft tumors when delivered systemically in mice. Treatment significantly repressed miR-888 and miR-891a and acted to slow prostate cell growth in vitro. We are currently moving these studies into mouse prostate models. Furthermore, we are investigating the downstream signaling pathways for the miR-888 cluster. Our work indicates that the miR-888 cluster network coordinates the repression of the Tissue Inhibitors of Metalloproteinase (TIMP) and SMAD4 anti-metastatic pathways to drive extracellular matrix degradation and prostate cell invasion, and as a consequence, induces matrix metalloproteinase (MMP) activity. Expression profiling arrays and luciferase reporter assays indicated that multiple members of the miR-888 cluster co-suppress TIMPs in the prostate and similarly elevate multiple MMPs as well as cadherins, fibronectin and heparinase, and co-modulated several immune response genes. We are currently studying the consequence of various CRISPR-mediated miR-888 cluster deletions to understand how this non-coding RNA cluster functionally overlaps to promote aggressive PCa. This work will establish new clinical tools for aggressive PCa and optimize patient treatment management. Citation Format: Katherine Routon, Trevor Fachko, Vishal Kasina, Raman Bahal, Aurora Esquela Kerscher. Developing the miR-888 cluster as a therapeutic target for prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 462.

Abstract 6048: Targeting AR positive prostate cancer cells by the novel P300/CBP oral available PROTAC degrader

Abstract Background The Androgen Receptor (AR) serves as the core lineage-specific transcription factor for prostatic epithelial cells. Targeting AR is currently the most promising therapeutic strategy. However, the inevitable development of acquired resistance to anti-androgen treatments underscores the urgent need to devise new therapeutic strategies. Recent studies have revealed that in prostate cancer cells, AR is hijacked by oncogenic transcription factors, such as FOXA1 and HOXB13, which promiscuously bind to distinct enhancer sites, driving the progression of prostate cancer. This process leads to the formation of a substantially rewired AR cancer specific enhanceosome, requiring a variety of coregulators to exhibit oncogenic driver characteristics, which can be potential therapeutic targets for prostate cancer. Histone acetyltransferases (HATs) P300 and CBP are paralogs which play dominant roles in orchestrating high-order chromatin structures and transcription factor complexes by acetylating histone proteins at multiple residuals. Although accumulating evidence suggests that P300/CBP function as AR coregulator and targeting P300/CBP can markedly suppress AR-positive prostate cancer cell growth, including growth of castration-resistant prostate cancer (CRPC), most of the P300/CBP inhibitors have performed poorly in clinical trials. Methods We developed a novel P300/CBP dual oral available PROTAC degrader, namely CBPD-409. The on-target effects of CBPD-409 were assessed by quantitative proteomics (TMT-mass spectrometry) in prostate cancer cell lines. The RNA-seq analysis was conducted to investigate CBPD-409 effects on global transcriptome in prostate cancer cells. The cytotoxicity of CBPD-409 in multiple prostate cancer cell lines was examined by cell-titer-glo and incucyte assays. Conclusion In multiple cell lines, CBPD-409 exhibits remarked potency to degrade both P300 and CBP proteins in time and does dependent manner, without evident off-target effects. By employing CBPD-409, we demonstrate that degrading P300/CBP preferentially suppress AR+ prostate cancer cell growth. The global transcriptomic profiling in CBPD-409 treated prostate cancer cells revealed that loss of P300/CBP results in remarkedly downregulation of AR, Myc, FOXA1 and ERG signaling. Assessment of CBPD-409 cytotoxicity in a panel prostate cancer cell lines suggests that AR positive prostate cancer cells display highest sensitivity to CBPD-409. Citation Format: Jie luo, Abhijit Prolia, Yuanyuan Qiao, Jean Tian, Rahul Mannan, Somnath Mahapatra, Zhixiang Chen, Rithvik Seri, Shaomeng Wang, Arul Chinnaiyan. Targeting AR positive prostate cancer cells by the novel P300/CBP oral available PROTAC degrader [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6048.

Abstract 3007: AZGP1 inhibits angiogenesis in prostate cancer

Abstract AZGP1 is involved in various biological processes, including lipid metabolism, regulation of cell proliferation, migration and invasion, and immune response. The loss of AZGP1 is associated with worse clinical outcomes, and AZGP1 has been indicated as a potential biomarker for prostate cancer. However, the underlying mechanisms of AZGP1 function in prostate cancer are unknown. This study reports AZGP1's pivotal involvement in angiogenesis within the prostate cancer tumor environment. Neither knockout nor overexpression of AZGP1 affects in vitro prostate cancer cell proliferation, migration, or invasion. Morphologically, AZGP1-deficient mouse prostates appear normal, but exhibit increased fibroblast growth in periglandular stroma after 6 months. The overexpression of AZGP1 does not impact the growth of PC3 and DU145 tumors; instead, these tumors significantly reduced microvessel density, suggesting AZGP1 exhibits anti-angiogenic properties. Proteomic profiling shows distinct profile of angiogenesis-related proteins between PC3-AZGP1-OV and PC3 control cells, featuring proteins like PDCD6 and MMP9. This study provides insights into the anti-angiogenic attributes of AZGP1 in prostate cancer, underscoring its potential as a therapeutic target for prostate cancer. Citation Format: Ru Wen, G Edward Wen, Zhengyuan Qiu, Eric E Peterson, Fernando Jose Garcia Marques, Abel Bermudez, Jonathan R Pollack, Hongjuan Zhao, Sharon Pitteri, James Brooks. AZGP1 inhibits angiogenesis in prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3007.