Prostate Cancer Tumor Microenvironment Research Articles

CHRM4/AKT/MYCN upregulates interferon alpha-17 in the tumor microenvironment to promote neuroendocrine differentiation of prostate cancer

Current treatment options for prostate cancer focus on targeting androgen receptor (AR) signaling. Inhibiting effects of AR may activate neuroendocrine differentiation and lineage plasticity pathways, thereby promoting the development of neuroendocrine prostate cancer (NEPC). Understanding the regulatory mechanisms of AR has important clinical implications for this most aggressive type of prostate cancer. Here, we demonstrated the tumor-suppressive role of the AR and found that activated AR could directly bind to the regulatory sequence of muscarinic acetylcholine receptor 4 (CHRM4) and downregulate its expression. CHRM4 was highly expressed in prostate cancer cells after androgen-deprivation therapy (ADT). CHRM4 overexpression may drive neuroendocrine differentiation of prostate cancer cells and is associated with immunosuppressive cytokine responses in the tumor microenvironment (TME) of prostate cancer. Mechanistically, CHRM4-driven AKT/MYCN signaling upregulated the interferon alpha 17 (IFNA17) cytokine in the prostate cancer TME after ADT. IFNA17 mediates a feedback mechanism in the TME by activating the CHRM4/AKT/MYCN signaling-driven immune checkpoint pathway and neuroendocrine differentiation of prostate cancer cells. We explored the therapeutic efficacy of targeting CHRM4 as a potential treatment for NEPC and evaluated IFNA17 secretion in the TME as a possible predictive prognostic biomarker for NEPC.

Prostrate malignant tumor and benign prostatic hyperplasia microenvironments in black African men: Limited infiltration of CD8+ T lymphocytes, NK-cells, and high frequency of CD73+ stromal cells.

Anti-cancerous immunology has yet to be investigated in the African black population, despite being the dawn of precision medicine. Here we investigated the tumor microenvironment of prostate cancer and benign prostatic hyperplasia (BPH) in black Africans. Through immunohistochemistry analysis of prostate cancer and BPH patients' biopsies, we investigated the expression and distribution of CD73, CCD8 T-lymphocytes, and natural killer cells. In addition, we looked at tumor-infiltrating features CD8 T-lymphocytes and natural killer cells. We show for the first time in black Africans a high expression of CD73 in epithelial-stromal cells and virtually no infiltration of CD8 T lymphocytes and natural killer cells in the tumoral area. In addition, CD73 was seven (7) times more likely to be expressed in prostate cancer stromal tissues than in benign prostatic hyperplasia tissues (odds ratio = 7.2; χ2 = 21; p < .0001). In addition, PSA concentration was significantly higher in prostate cancer patients than in BPH patients (p < .001). Also, the PSA-based ROC. analysis showed an area under the curve of 0.87 (p < .0001). CD73 expression is more likely expressed in prostate cancer stromal tissues than in benign prostatic hyperplasia tissues. The features of prostate cancer in Black Africans suggest CD73 expression as a possible target for immunotherapy in this population.

Single-cell RNA sequencing uncovers heterogeneous transcriptional signatures in tumor-infiltrated dendritic cells in prostate cancer

Prostate cancer (PCa) is one of the two solid malignancies in which a higher T cell infiltration in the tumor microenvironment (TME) corresponds with a worse prognosis for the tumor. The inability of T cells to eliminate tumor cells despite an increase in their number reinforces the possibility of impaired antigen presentation. In this study, we investigated the TME at single-cell resolution to understand the molecular function and communication of dendritic cells (DCs) (as professional antigen-presenting cells). According to our data, tumor cells stimulate the migration of immature DCs to the tumor site by inducing inflammatory chemokines. Many signaling pathways such as TNF-α/NF-κB, IL2/STAT5, and E2F up-regulated after DCs enter the tumor location. In addition, some molecules such as GPR34 and SLCO2B1 decreased on the surface of DCs. The analysis of molecular and signaling alterations in DCs revealed some suppression mechanisms of tumors, such as removing mature DCs, reducing the DC's survival, inducing anergy or exhaustion in the effector T cells, and enhancing the differentiation of T cells to Th2 and Tregs. In addition, we investigated the cellular and molecular communication between DCs and macrophages in the tumor site and found three molecular pairs including CCR5/CCL5, CD52/SIGLEC10, and HLA-DPB1/TNFSF13B. These molecular pairs are involved in the migration of immature DCs to the TME and disrupt the antigen-presenting function of DCs. Furthermore, we presented new therapeutic targets by the construction of a gene co-expression network. These data increase our knowledge of the heterogeneity and the role of DCs in PCa TME.

Targeting advanced prostate cancer with STEAP1 chimeric antigen receptor T cell and tumor-localized IL-12 immunotherapy

Six transmembrane epithelial antigen of the prostate 1 (STEAP1) is a cell surface antigen for therapeutic targeting in prostate cancer. Here, we report broad expression of STEAP1 relative to prostate-specific membrane antigen (PSMA) in lethal metastatic prostate cancers and the development of a STEAP1-directed chimeric antigen receptor (CAR) T cell therapy. STEAP1 CAR T cells demonstrate reactivity in low antigen density, antitumor activity across metastatic prostate cancer models, and safety in a human STEAP1 knock-in mouse model. STEAP1 antigen escape is a recurrent mechanism of treatment resistance and is associated with diminished tumor antigen processing and presentation. The application of tumor-localized interleukin-12 (IL-12) therapy in the form of a collagen binding domain (CBD)-IL-12 fusion protein combined with STEAP1 CAR T cell therapy enhances antitumor efficacy by remodeling the immunologically cold tumor microenvironment of prostate cancer and combating STEAP1 antigen escape through the engagement of host immunity and epitope spreading.

Abstract 1956: Stress-mediated reactive oxygen species from mitochondria dysregulates the tumor microenvironment in prostate cancer of African American men

Abstract Prostate cancer (PCa) is the second leading cause of cancer-related death in men in United States. African American men (AAM) have higher rates of PCa incidence and mortality compared with European American men (EAM). While socioeconomics, access to optimal care and life-style factors contribute towards these disparities, underlying biologic differences in AAM remain important drivers of PCa disparities. In the current work, we aimed to explore the interplay between oxidative stress and inflammatory signaling in promoting progression of PCa in AAM. Oxidative stress results from excessive reactive oxygen species (ROS) generated mainly via membrane bound oxidases, peroxisomes or the mitochondrial electron transport chain (ETC). We performed a robust comparative genomics to determine whether there is a race dependent expression of genes related to ROS in publicly available PCa datasets. We then prospectively examined the differential gene expression of these genesets in PCa from clinically matched AAM and EAM in the VANDAAM prospective study. VANDAAM is a validation study of DecipherTM genomic testing in 243 men with localized PCa. We then combined computational and experimental approaches to explore the molecular mechanisms and consequences of exacerbated oxidative stress. We found that ETC complex I, III related genes are the most differentially expressed in AAM compared with EAM. To examine whether AAM vs EAM cell lines exhibits differential sensitivity to ETC modulation, we blocked key ETC enzymes using complex I inhibitor, rotenone, and complex III inhibitor, antimycin A. We used 2 types of mitochondria-specific labels that distinguish respiring and ROS-generating mitochondria. While the relative levels of respiring mitochondria remain constant, we found that antimycin A induced higher level of mitochondrial ROS in AAM PCa cell lines compared with EAM PCa cell lines. To understand the interplay between mitochondrial ETC complex I &amp; III and immune microenvironment, we computed the correlational discordance of ETC complex I &amp; III expression scores and expression of &amp;gt;1200 immune-related genes between AAM vs EAM in VANDAAM cohort. These analyses suggest that ETC complex I &amp; III correlate with several immunosuppressive genes including the macrophage markers CD68 and CD163 and T cell exhaustion markers. In addition, intersecting discordant genes from several datasets suggests enrichment of inflammatory cytokines and type I interferon signature which we then validated using ex vivo culture of PCa tissues. In summary, we discovered a role of mitochondrial electron transport chain in regulating inflammatory circuits in PCa of AAM. Unraveling roles of mitochondria in promoting immune suppression will have significant impact on understanding the intersection between social pressures and biological stress responses. Citation Format: Asmaa El-Kenawi, Ryan Putney, Shivanshu Awasthi, Amparo Serna, Corrado Caslini, Jasreman Dhillon, Kosj Yamoah. Stress-mediated reactive oxygen species from mitochondria dysregulates the tumor microenvironment in prostate cancer of African American men [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1956.

Stk10 Deficiency in Mice Promotes Tumor Growth by Dysregulating the Tumor Microenvironment

Serine-threonine kinase 10 (STK10) is a member of the STE20/p21-activated kinase (PAK) family and is predominantly expressed in immune organs. Our previous reports suggested that STK10 participates in the growth and metastasis of prostate cancer via in vitro and in vivo data. However, the correlation between STK10 and the tumor microenvironment (TME) remains unclear. In this study, we assessed the relationship between STK10 and the immune cells in the tumor microenvironment of prostate cancer through bioinformatic analysis, and investigated the role of Stk10 in tumor growth using an Stk10 knockout mouse model. The results showed that STK10 is significantly associated with the tumor-infiltrating immune cells including lymphocytes, neutrophils, macrophages and dendritic cells. The target deletion of host Stk10 results in increased tumor growth, due to decreased activated/effector cytotoxic T lymphocytes (CTLs) and increased vessel density in the TME. In conclusion, we demonstrate that host Stk10 is involved in the host anti-tumor response by modulating the activated tumor-infiltrated CTLs and angiogenesis.

FLG Gene Mutation Up-regulates the Abnormal Tumor Immune Response and Promotes the Progression of Prostate Cancer.

Prostate Cancer (PCa) ranks sixth with regard to the cause of cancerinduced male diseases worldwide, and inflammation is closely associated with its morbidity, deterioration, and prognosis. Tumor Mutation Burden (TMB) is identified to be the most common biomarker for the prediction of immunotherapy. But it is still unclear about the relationship of gene mutations in PCa with TMB and immune response. To study the relationship between gene mutation and anti-tumor immune response in the prostate cancer tumor microenvironment. In the present work, the PCa somatic mutation data were collected from the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA) datasets. As a result, 8 genes with high mutation frequency, including TP53, PTEN, TTN, FLG, CTNNB1, SPOP, MUC16, and KMT2C, were discovered to be covered by 4 cohorts from the United States, Canada, the United Kingdom, and China. Overall, the FLG mutation was related to a greater TMB, which predicted the dismal prognostic outcome. Besides, the CIBERSORT algorithm and Gene Set Enrichment Analysis (GSEA) were adopted for analysis, which revealed that FLG mutation remarkably promoted immune response in the context of PCa and accelerated cancer development. To sum up, FLG shows a high mutation frequency in PCa, and is related to the increase in TMB, up-regulation of abnormal immune responses in tumors, and promotion of tumor progression. Therefore, it may be used as a biomarker to predict the abnormal immune responses and provide a therapeutic target for immunotherapy in the treatment of PCa.

A novel signature based on pyroptosis-related genes for predicting prognosis and treatment response in prostate cancer patients.

Background: Pyroptosis is a form of programmed cell death accompanied by specific inflammatory and immune responses, and it is closely related to the occurrence and progression of various cancers. However, the roles of pyroptosis-related genes (PRGs) in the prognosis, treatment response, and tumor microenvironment (TME) of prostate cancer (PCa) remain to be investigated. Methods: The mRNA expression data and clinical information of PCa patients were obtained from the Cancer Genome Atlas database (TCGA) and the cBioPortal for Cancer Genomics website, and the 52 PRGs were obtained from the published papers. The univariate, multivariate, and LASSO Cox regression algorithms were used to obtain prognostic hub PRGs. Meanwhile, qRT-PCR was used to validate the expression of hub genes between PCa lines and normal prostate epithelial cell lines. We then constructed and validated a risk model associated with the patient's disease-free survival (DFS). Finally, the relationships between risk score and clinicopathological characteristics, tumor immune microenvironment, and drug treatment response of PCa were systematically analyzed. Results: A prognostic risk model was constructed with 6 hub PRGs (CHMP4C, GSDMB, NOD2, PLCG1, CYCS, GPX4), and patients were divided into high and low-risk groups by median risk score. The risk score was confirmed to be an independent prognostic factor for PCa in both the training and external validation sets. Patients in the high-risk group had a worse prognosis than those in the low-risk group, and they had more increased somatic mutations, higher immune cell infiltration and higher expression of immune checkpoint-related genes. Moreover, they were more sensitive to cell cycle-related chemotherapeutic drugs and might be more responsive to immunotherapy. Conclusion: In our study, pyroptosis played a significant role in the management of the prognosis and tumor microenvironment of PCa. Meanwhile, the established model might help to develop more effective individual treatment strategies.

Spatial Profiling of the Prostate Cancer Tumor Microenvironment Reveals Multiple Differences in Gene Expression and Correlation with Recurrence Risk.

Simple SummaryIn prostate cancer (PCa), the tumor microenvironment plays a crucial role in both the development and progression of the disease. We used Digital Spatial Profiling multiplex technology to assess the expression of 58 protein and 1825 RNA transcripts in traditionally challenging samples (i.e., archived FFPE samples) while maintaining the spatial context of expression. First, we identified differences in protein and RNA expression among multiple cell types (stromal, epithelial, and immune cells). Second, we used a PCa tissue microarray of 1547 cores (97 patients) to further validate the protein expression of selected genes in a larger cohort of prostate cancer patients. We also computed survival models testing the relationship between OX40L, CTLA4, and CD11c protein expression in both tumor and tumor-adjacent stroma samples with time to biochemical relapse.The tumor microenvironment plays a crucial role in both the development and progression of prostate cancer. Furthermore, identifying protein and gene expression differences between different regions is valuable for treatment development. We applied Digital Spatial Profiling multiplex analysis to formalin-fixed paraffin embedded prostatectomy tissue blocks to investigate protein and transcriptome differences between tumor, tumor-adjacent stroma (TAS), CD45+ tumor, and CD45+ TAS tissue. Differential expression of an immunology/oncology protein panel (n = 58) was measured. OX40L and CTLA4 were expressed at higher levels while 22 other proteins, including CD11c, were expressed at lower levels (FDR < 0.2 and p-value < 0.05) in TAS as compared to tumor epithelia. A tissue microarray analysis of 97 patients with 1547 cores found positive correlations between high expression of CD11c and increased time to recurrence in tumor and TAS, and inverse relationships for CTLA4 and OX40L, where higher expression in tumor correlated with lower time to recurrence, but higher time to recurrence in TAS. Spatial transcriptomic analysis using a Cancer Transcriptome Atlas panel (n = 1825 genes) identified 162 genes downregulated and 69 upregulated in TAS versus tumor, 26 downregulated and 6 upregulated in CD45+ TAS versus CD45+ tumor. We utilized CIBERSORTx to estimate the relative immune cell fractions using CD45+ gene expression and found higher average fractions for memory B, naïve B, and T cells in TAS. In summary, the combination of protein expression differences, immune cell fractions, and correlations of protein expression with time to recurrence suggest that closely examining the tumor microenvironment provides valuable data that can improve prognostication and treatment techniques.

High expression of MYBL2 promotes progression and predicts a poor survival outcome of prostate cancer

To explore the correlation of MYB proto-oncogene like 2 (MYBL2) with biological behaviors and clinical prognosis of prostate cancer (PCa). We detected Mybl2 mRNA expression in 45 pairs of PCa and adjacent tissues using real-time quantitative PCR, and analyzed the correlation of high (23 cases) and low expression (22 cases) of Mybl2 with clinicopathological features and prognosis of the patients using nonparametric test, Kaplan-Meier survival analysis and univariate and multivariate Cox regression. The results were verified by analysis of the data from Cancer Genome Atlas (TCGA) microarray database, and the molecular pathways were identified by gene set enrichment analysis (GSEA). The CIBERPORT algorithm was used to identify the correlations between Mybl2 expression and tumor microenvironment of PCa. We also tested the effects of MYBL2 knockdown on proliferation and invasion of PCa cell lines using cell counting kit-8 and Transwell assays and observed the growth of PC3 cell xenograft with MYBL2 knockdown in nude mice and the expression levels of Ki-67 in the xenograft using immunohistochemistry. Mybl2 expression was significantly elevated in PCa tissues in close correlation with Gleason score and clinical and pathological stage of the tumor (P < 0.01) but not with the patients' age. Kaplan-Meier analysis indicated a significant negative correlation of high Mybl2 expression with recurrence-free survival (P < 0.05), but not with the overall survival of the patients. The data from TCGA suggested that clinical and pathological stages were independent prognostic factors for recurrence-free survival, and our data indicated that clinical stage and Gleason score were independent prognostic factors of PCa (P < 0.05). GSEA suggested that Mybl2 expression was related with the pathways involving immune function, cell adhesion, and cytokine secretion; CIBERPORT analysis suggested the involvement of Mybl2 expression with memory B cells and resting mast cells (P < 0.05). In LNCaP and PC-3 cells, MYBL2 knockdown significantly inhibited cell proliferation and invasion (P < 0.05); in the tumor-bearing nude mice, the xenografts derived from PC-3 cells with MYBL2 knockdown exhibited a lowered mean tumor weight and positivity rate for Ki67 (P < 0.05). Mybl2 is an oncogene related with multiple pathological indicators of PCa and can serve as a potential prognostic marker as well as a therapeutic target for patients with PCa.

Integrative Analysis and Experimental Validation Indicated That SNHG17 Is a Prognostic Marker in Prostate Cancer and a Modulator of the Tumor Microenvironment via a Competitive Endogenous RNA Regulatory Network.

The incidence of prostate cancer (PC) is growing rapidly worldwide, and studies uncovering the molecular mechanisms driving the progression and modulating the immune infiltration and antitumor immunity of PC are urgently needed. The long noncoding RNA SNHG family has been recognized as a prognostic marker in cancers and contributes to the progression of multiple cancers, including PC. In this study, we aimed to clarify the prognostic values and underlying mechanisms of SNHGs in promoting the progression and modulating the tumor microenvironment of PC through data mining based on The Cancer Genome Atlas (TCGA) database. We identified that within the SNHG family, SNHG17 was most correlated with the overall survival of PC patients and could act as an independent predictor. Moreover, we constructed a competitive endogenous RNA (ceRNA) network by which SNHG17 promotes progression and potentially inhibits the immune infiltration and immune response of prostate cancer. By interacting with miR-23a-3p/23b-3p/23c, SNHG17 upregulates the expression of UBE2M and OTUB1, which have been demonstrated to play critical roles in the tumorigenesis of human cancers, more importantly promoting cancer cell immunosuppression and resistance to cytotoxic stimulation. Finally, we examined the correlation between SNHG17 expression and the clinical progression of PC patients based on our cohort of 52 PC patients. We also verified the SNHG17/miR-23a/OTUB1 axis in RV-1 and PC-3 cells by dual luciferase and RIP assays, and we further identified that SNHG17 promoted cellular invasive capacity by modulating OTUB1. In summary, the current study conducted a ceRNA-based SNHG17-UBE2M/OTUB1 axis and indicated that SNHG17 might be a novel prognostic factor associated with the progression, immunosuppression, and cytotoxic resistance of PC.

Identification of Pyroptosis-Related Gene Signatures and Construction of the Risk Model to Predict BCR in Prostate Cancer.

Prostate cancer is one of the most common malignant tumors in men. Pyroptosis is related to tumor immune infiltration and tumor microenvironment (TME) and has been confirmed to be related to the progression of a variety of tumors. However, the relationship between prostate cancer and pyroptosis, as well as TME and tumor immune infiltration, has not been discussed yet. We obtained and combined the RNA-seq data of prostate cancer from TCGA and GEO databases, analyzed the differential expression of pyroptosis-related genes (PRGs), and divided them into two groups according to the PRG expression level. The relationship between pyroptosis subtypes and the TME of prostate cancer was further verified, and the differential expression genes (DEGs) in the two subtypes were identified. The relationship between the DEGs and clinicopathology was explored and KEGG and GO enrichment analysis was conducted; it was found that most DEGs were enriched in immune-related pathways. Then, we randomly divided datasets into training and testing sets, performed the LASSO and multicox progression analysis, selected eight genes as prognostic signatures and used the eight genes, calculated the risk score, and then separated the entire cohort into high- and low-risk groups. The prognosis between two groups and the 1-, 3-, and 5-year ROC curves of biochemical relapse (BCR) were verified in training, testing, and the entire cohort, respectively. The TME, CSC index, mutation, and drug susceptibility were also discussed.

Comprehensive characterization of the prostate tumor microenvironment identifies CXCR4/CXCL12 crosstalk as a novel antiangiogenic therapeutic target in prostate cancer

BackgroundCrosstalk between neoplastic and stromal cells fosters prostate cancer (PCa) progression and dissemination. Insight in cell-to-cell communication networks provides new therapeutic avenues to mold processes that contribute to PCa tumor microenvironment (TME) alterations. Here we performed a detailed characterization of PCa tumor endothelial cells (TEC) to delineate intercellular crosstalk between TEC and the PCa TME.MethodsTEC isolated from 67 fresh radical prostatectomy (RP) specimens underwent multi-omic ex vivo characterization as well as orthogonal validation of both TEC functions and key markers by immunohistochemistry (IHC) and immunofluorescence (IF). To identify cell–cell interaction targets in TEC, we performed single-cell RNA sequencing (scRNA-seq) in four PCa patients who underwent a RP to catalogue cellular TME composition. Targets were cross-validated using IHC, publicly available datasets, cell culture expriments as well as a PCa xenograft mouse model.ResultsCompared to adjacent normal endothelial cells (NEC) bulk RNA-seq analysis revealed upregulation of genes associated with tumor vasculature, collagen modification and extracellular matrix remodeling in TEC. PTGIR, PLAC9, CXCL12 and VDR were identified as TEC markers and confirmed by IF and IHC in an independent patient cohort. By scRNA-seq we identified 27 cell (sub)types, including endothelial cells (EC) with arterial, venous and immature signatures, as well as angiogenic tip EC. A focused molecular analysis revealed that arterial TEC displayed highest CXCL12 mRNA expression levels when compared to all other TME cell (sub)populations and showed a negative prognostic role. Receptor-ligand interaction analysis predicted interactions between arterial TEC derived CXCL12 and its cognate receptor CXCR4 on angiogenic tip EC. CXCL12 was in vitro and in vivo validated as actionable TEC target by highlighting the vessel number- and density- reducing activity of the CXCR4-inhibitor AMD3100 in murine PCa as well as by inhibition of TEC proliferation and migration in vitro.ConclusionsOverall, our comprehensive analysis identified novel PCa TEC targets and highlights CXCR4/CXCL12 interaction as a potential novel target to interfere with tumor angiogenesis in PCa.Graphical

Abstract 2546: Targeting MerTK-mediated efferocytosis in the prostate cancer TME

Abstract The prostate cancer tumor microenvironment (TME) is comprised of many different components and cell types that influence tumor progression and patient outcome. Macrophages are highly abundant immune cells in the prostate cancer TME. Macrophage phenotypes can be modeled on a continuous spectrum of M1-like (anti-tumor macrophages) to M2-like (pro-tumor macrophages) and most macrophages in the prostate cancer TME are M2-like. Efferocytosis, the phagocytosis of apoptotic cells, is a pro-tumor function of M2-like macrophages. We have developed a flow cytometry assay to quantify efferocytosis of the prostate cancer cell line LNCaP. With both cell line-based THP-1 macrophages and human monocyte-derived macrophages (HMDMs), we observe that M2 macrophages efferocytose LNCaP cells more than M1 macrophages. Based on literature from other models and contexts, efferocytosis further supports the M2-like phenotype. Efferocytosis also prevents the apoptotic cell from progressing to secondary necrosis, which would attract an M1-like macrophage phenotype. Due these aspects, we hypothesize efferocytosis in the prostate cancer TME is a tumor-promoting function of macrophages. Following efferocytosis of LNCaP cells by M2 HMDMs, we detect a decrease in the M1-like, anti-tumor marker CD80 and an increase in M2-like, pro-tumor markers CD206 and PDL1. Due to this role in modulating macrophage phenotype, we hypothesize targeting efferocytosis will slow prostate cancer growth and promote an anti-tumor immune infiltrate, including M1-like macrophages. MerTK is a receptor tyrosine kinase that mediates efferocytosis by binding phosphatidylserine on apoptotic cells. At both the protein and mRNA level, we detect higher MerTK expression in M2 than M1 THP-1 macrophages and HMDMs. Upon addition of apoptotic LNCaP cells, we observe an increase in phosphorylated MerTK (active form), suggesting the role of MerTK in prostate cancer cell efferocytosis. Currently, we are targeting MerTK to block prostate cancer cell efferocytosis in vitro and in vivo. We have generated a Mertk-/-, Hi-Myc mouse model on the FVB/N background. This prostate cancer GEMM will be used to assess the role of MerTK across different stages of prostate cancer progression. We will be comparing tumor size and immune infiltration between Mertk+/+ and Mertk-/- Hi-Myc mice aged to 2 months, 6 months and 12 months. We predict that the Mertk-/- mice will have smaller tumors and an overall anti-tumor immune infiltrate compared to Mertk+/+ mice in this model due to lack of efferocytosis. Citation Format: Kayla V. Myers, Amber E. de Groot, Anna L. Gonye, Luke V. Loftus, Sarah R. Amend, Kenneth J. Pienta. Targeting MerTK-mediated efferocytosis in the prostate cancer TME [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2546.

Abstract 2558: Determining the expression of RNA binding protein Rbm3 in tumor cells and immune cells in the tumor microenvironment in prostate cancer

Abstract Prostate cancer is the most common cancer among men. Currently, targeting the AR pathway, chemotherapy or immune-based therapies are major options but only provide a modest improvement in overall survival. RNA binding proteins have been shown to regulate AR expression in the progression of PCa. We and others have demonstrated that RNA binding protein RBM3 is upregulated in various solid tumors including PCa. We have also shown that RBM3 binds to 3’UTR of mRNAs of tumor-promoting factors and increases their mRNA stability and translation. However, the role of RBM3 in PCa is not well evaluated. We first analyzed the expression levels of RBM3 in the TCGA database. There was a significant increase in RBM3 expression even in cancers with a Gleason score of 6 upto Gleason 10 cancers. To confirm this we performed RT-PCR analyses of a prostate cancer cDNA panel. There was a significant increase in RBM3 expression in the PCa tissues compared to normal control. We used LNCaP and its derivative cell line C4-2B which show features of progressed disease such as metastatic capability and hormone independence. RT-PCR and western blot analyses demonstrated significantly higher RBM3 levels in C4-2B cells as compared to LNCaP cells suggesting a role for RBM3 in tumor progression. The tumor microenvironment also plays a very important role in prognosis of PCa. Specifically, tumor-associated macrophages (TAMs) have been shown to increase metastatic potential and increase tumor angiogenesis. To determine the levels of RBM3 expression and its effects on macrophage infiltration, we mined the TCGA database using TIMER2.0 software. There was a positive correlation of RBM3 expression with infiltration of both M1 and M2 macrophages. To further study the effect of interactions between PCa cells and TAMs, we used immortalized THP1 monocytes, which can be activated to M1 and M2 macrophages. We observed that just converting the THP1 cells to M1 or M2 macrophages increased RBM3 expression in both cell types. Also, when M1 and M2 macrophages were treated with conditioned media from LNCaP or C4-2B cells, there was an induction in the expression of RBM3. Similarly, when conditioned media from M0, M1, M2 activated THP1 cells were applied to LNCaP and C4-2B cells, there was an increase in RBM3 expression in the PCa cells. This suggests a positive cross-talk between the macrophages and PCa cells. We evaluated the cytokine profile in the conditioned media from M1 and M2 macrophages and determined that while M1 macrophages had increased levels of CXCL10, M2 macrophages showed higher levels of IL4 and IL10. Moreover, PCa cells have higher levels of CXCR3, the receptor for CXCL10. Together, these data suggest that crosstalk between TAMs and cancer cells in the PCA microenvironment plays a significant role in increasing RBM3 expression, which in turn enhances global translation of disease progression related genes. Citation Format: Afreen Asif Ali Sayed, David Standing, Prasad Dandawate, Shahid Umar, Roy Jensen, Rahul Parikh, John Taylor, Shrikant Anant. Determining the expression of RNA binding protein Rbm3 in tumor cells and immune cells in the tumor microenvironment in prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2558.

Abstract 5332: Prostate cancer targeting therapy using PSA promoter-driven perforin expression vector encapsulated in liposomes conjugated with anti-PSMA antibody

Abstract Perforin secreted from cytotoxic T cells and natural killer cells play important roles in anti-tumor immunoreaction leading to cancer cell apoptosis. The aim of this study is to investigate whether perforin-rich tumor microenvironment could inhibit tumor growth. Advanced prostate cancer (PC) expresses high amount of prostate-specific antigen (PSA) that is a possible therapeutic target, therefore, we constructed a PSA promoter-driven perforin expression vector for its predominant expression in tumor microenvironment of PC. Prostate membrane-specific antigen (PSMA) expressed on PC cell surface is also an attractive therapeutic target. To deliver perforin expression vector to PC, it was encapsulated in liposomes conjugated with anti-PSMA antibody (PSMA-pLipo), then the anti-tumor effect of PSMA-pLipo was evaluated using docetaxel-resistant PC cell line, 22Rv1DR, expressing both PSA and PSMA. The conjugated anti-PSMA antibody on PSMA-pLipo recognized recombinant PSMA protein, and incubation with PSMA-pLipo induced perforin expression in 22Rv1DR cells but not in PC-3 cells not expressing both PSA and PSMA. Growth of 22Rv1DR and PC-3 cells was barely inhibited by PSMA-pLipo alone. Perforin functions in concert with cytotoxic lymphocytes, therefore anti-tumor effect of PSMA-pLipo was analyzed in the presence of human peripheral blood mononuclear cells (PBMCs). Low concentration of PSMA-pLipo with human PBMCs significantly inhibited growth of 22Rv1DR cells but not PC-3 cells. High concentration of PSMA-pLipo with human PBMCs showed nearly complete inhibition of 22Rv1DR cell growth. In a mouse xenograft model implanted with 22Rv1DR cells, PSMA-pLipo was intravenously administrated via tale vein and tumor volume was monitored. PSMA-pLipo inhibited growth of 22Rv1DR cells compared to injection of anti-PSMA antibody alone. The data presented here suggest that gene therapy expressing perforin specifically in PC cells could be a novel therapy for advanced PC. Citation Format: Kosuke Mizutani, Kyojiro Kawakami, Yasunori Fujita, Taku Kato, Manabu Takai, Daiki Kato, Koji Iinuma, Takuya Koie, Masafumi Ito. Prostate cancer targeting therapy using PSA promoter-driven perforin expression vector encapsulated in liposomes conjugated with anti-PSMA antibody [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5332.

Comprehensive Analysis of m5C Methylation Regulatory Genes and Tumor Microenvironment in Prostate Cancer.

Background5-Methylcytidine (m5C) methylation is an emerging epigenetic modification in recent years, which is associated with the development and progression of various cancers. However, the prognostic value of m5C regulatory genes and the correlation between m5C methylation and the tumor microenvironment (TME) in prostate cancer remain unknown.MethodsIn the current study, the genetic and transcriptional alterations and prognostic value of m5C regulatory genes were investigated in The Cancer Genome Atlas and Gene Expression Omnibus datasets. Then, an m5C prognostic model was established by LASSO Cox regression analysis. Gene set variation analyses (GSVA), gene set enrichment analysis (GSEA), clinical relevance, and TME analyses were conducted to explain the biological functions and quantify the TME scores between high-risk and low-risk subgroups. m5C regulatory gene clusters and m5C immune subtypes were identified using consensus unsupervised clustering analysis. The Cell-type Identification By Estimating Relative Subsets of RNA Transcripts algorithm was used to calculate the contents of immune cells.ResultsTET3 was upregulated at transcriptional levels in PCa compared with normal tissues, and a high TET3 expression was associated with poor prognosis. An m5C prognostic model consisting of 3 genes (NSUN2, TET3, and YBX1) was developed and a nomogram was constructed for improving the clinical applicability of the model. Functional analysis revealed the enrichment of pathways and the biological processes associated with RNA regulation and immune function. Significant differences were also found in the expression levels of m5C regulatory genes, TME scores, and immune cell infiltration levels between different risk subgroups. We identified two distinct m5C gene clusters and found their correlation with patient prognosis and immune cell infiltration characteristics. Naive B cells, CD8+ T cells, M1 macrophages and M2 macrophages were obtained and 2 m5C immune subtypes were identified. CTLA4, NSUN6, TET1, and TET3 were differentially expressed between immune subtypes. The expression of CTLA4 was found to be correlated with the degree of immune cell infiltration.ConclusionsOur comprehensive analysis of m5C regulatory genes in PCa demonstrated their potential roles in the prognosis, clinical features, and TME. These findings may improve our understanding of m5C regulatory genes in the tumor biology of PCa.

Multimodality Characterization of Cancer-Associated Fibroblasts in Tumor Microenvironment and Its Correlation With Ultrasound Shear Wave-Measured Tissue Stiffness in Localized Prostate Cancer.

IntroductionGrowing evidence suggests that the tumor microenvironment (TME) represented by cellular and acellular components plays a key role in the multistep process of metastases and response to therapies. However, imaging and molecular characterization of the TME in prostate cancer (PCa) and its role in predicting aggressive tumor behavior and disease progression is largely unexplored. The study explores the PCa TME through the characterization of cancer-associated fibroblasts (CAFs) using both immunohistochemistry (IHC) and genomics approaches. This is then correlated with transrectal ultrasound shear wave elastography (USWE)-measured tissue stiffness.Patients and MethodsThirty patients with clinically localized PCa undergoing radical prostatectomy for different risk categories of tumor (low, intermediate, and high) defined by Gleason score (GS) were prospectively recruited into this study. Prostatic tissue stiffness was measured using USWE prior to surgery. The CAFs within the TME were identified by IHC using a panel of six antibodies (FAP, SMAα, FSP1, CD36, PDGFRα, and PDGFRβ) as well as gene expression profiling using TempO-sequence analysis. Whether the pattern and degree of immunohistochemical positivity (measured by Quick score method) and expression of genes characterizing CAFs were correlated with USWE- and GS-measured tissue stiffnesses were tested using Spearman’s rank correlation and Pearson correlation.ResultsThere was a statistically significant correlation between GS of cancers, the pattern of staining for CAFs by immunohistochemical staining, and tissue stiffness measured in kPa using USWE (p < 0.001). Significant differences were also observed in immunohistochemical staining patterns between normal prostate and prostatic cancerous tissue. PDGFRβ and SMAα immunostaining scores increased linearly with increasing the USWE stiffness and the GS of PCa. There was a significant positive correlation between increasing tissue stiffness in tumor stroma and SMAα and PDGFRβ gene expression in the fibromuscular stroma (p < 0.001).ConclusionUSWE-measured tissue stiffness correlates with increased SMAα and PDGFRβ expressing CAFs and PCa GSs. This mechanistic correlation could be used for predicting the upgrading of GS from biopsies to radical surgery and response to novel treatments.

Comprehensive Characterization of Ageing-Relevant Subtypes Associated With Different Tumorigenesis and Tumor Microenvironment in Prostate Cancer.

Objective: Accumulated evidence demonstrates that ageing is a robust risk factor of prostate cancer prognosis. Herein, we conducted a systematic analysis about ageing-relevant molecules and relevant tumor microenvironment features in prostate cancer. Methods: Transcriptome data, clinical information, and mutational data of prostate cancer patients were retrospectively collected from the Cancer Genome Atlas cohort. In accordance with the expression of specific ageing-relevant genes, prostate cancer patients were clustered with consensus clustering analyses. WGCNA was adopted for determination of subtype-associated co-expression modules and genes. Thereafter, characteristic genes were further screened with random forest algorithm and a prognostic model was conducted with multivariate cox regression analyses. Tumor microenvironment-infiltrating immune cells were estimated with ssGSEA and ESTIMATE. Activities of the cancer immunity cycle and expressions of HLA and immune checkpoint molecules were then quantified across prostate cancer cases. A serious experiment was conducted to investigate the roles of EIF2S2 in prostate tumorigenesis. Results: This study characterized three ageing-relevant subtypes (C1, C2, and C3) with diverse clinical prognosis. Subtype C1 presented the features of low mutational frequency and immune activation; C2 was characterized by stromal and immune activation; and C3 showed immune suppression. An ageing-derived gene signature was conducted, which independently and robustly predicted patients’ prognosis. Additionally, this signature was in relation to immune inactivation. Among the genes in the signature, EIF2S2 triggered proliferation, invasion, and migration of LNCaP and PC-3 cells. Conclusion: Collectively, ageing-relevant molecular subtypes and gene signature might be of great significance to determine clinical outcomes and tumor microenvironment features and immunotherapeutic responses in prostate cancer.

Thyroid hormone and androgen signals mutually interplay and enhance inflammation and tumorigenic activation of tumor microenvironment in prostate cancer

Prostate Cancer (PCa) is the most commonly diagnosed non-cutaneous cancer in males and the fifth leading cause of death worldwide. The majority of PCas are androgen-sensitive, with a significant up-regulation of Androgen Receptor (AR) that causes a stimulatory effect on growth and progression of cancer cells. For this reason, the first-line therapy for PCa is androgen ablation, even if it ultimately fails due to the onset of hormone-refractory state, in which the malignant cells do not sense the androgen signal anymore. Besides androgens, a growing number of evidence suggests that Thyroid Hormones (THs) mediate tumor-promoting effects in a variety of human cancers, as Epithelial-to-Mesenchymal Transition (EMT), invasion and metastasis and also stimulation of angiogenesis and tumor metabolism. Moreover, epidemiological studies demonstrated an increased risk for PCa in patients with lower levels of Thyreotropin (TSH). Here, we investigated if intracellular TH metabolism affects Benign Prostatic Hyperplasia (BPH) and PCa formation and progression.We found that the intracellular TH metabolism is a crucial determinant of PCa behavior. We observed that a dynamic stage-specific expression of the THs modulating enzymes, the deiodinases, is required for the progression of BPH to PCa malignancy. By acting simultaneously on epithelial cancer cells and fibroblasts, THs exert a proliferative and pro-inflammatory effect cooperating with androgens.These findings suggest that androgens and THs may interplay and mediate a coordinate effect on human PCa formation and progression. In light of our results, future perspective could be to explore the potential benefits of THs intracellular modulators aimed to counteract PCa progression.