Advanced Prostate Cancer Patients Research Articles

Abstract C020: Nuclear encoded mitochondrial protein MAGMAS as a potential predictor of taxane sensitivity in advanced prostate cancer patients and differential diagnostic marker of tumor aggressiveness in men of African ancestry

Abstract C020: Nuclear encoded mitochondrial protein MAGMAS as a potential predictor of taxane sensitivity in advanced prostate cancer patients and differential diagnostic marker of tumor aggressiveness in men of African ancestry

Polyploid cancer cells reveal signatures of chemotherapy resistance.

Therapeutic resistance in cancer significantly contributes to mortality, with many patients eventually experiencing recurrence after initial treatment responses. Recent studies have identified therapy-resistant large polyploid cancer cells in patient tissues, particularly in late-stage prostate cancer, linking them to advanced disease and relapse. Here, we analyzed bone marrow aspirates from 44 advanced prostate cancer patients and found the presence of circulating tumor cells with increased genomic content (CTC-IGC) was significantly associated with poorer progression-free survival. Single cell copy number profiling of CTC-IGC displayed clonal origins with typical CTCs, suggesting complete polyploidization. Induced polyploid cancer cells from PC3 and MDA-MB-231 cell lines treated with docetaxel or cisplatin were examined through single cell DNA sequencing, RNA sequencing, and protein immunofluorescence. Novel RNA and protein markers, including HOMER1, TNFRSF9, and LRP1, were identified as linked to chemotherapy resistance. These markers were also present in a subset of patient CTCs and associated with recurrence in public gene expression data. This study highlights the prognostic significance of large polyploid tumor cells, their role in chemotherapy resistance, and their expression of markers tied to cancer relapse, offering new potential avenues for therapeutic development.

LBFextract: Unveiling transcription factor dynamics from liquid biopsy data

MotivationThe analysis of circulating cell-free DNA (cfDNA) holds immense promise as a non-invasive diagnostic tool across various human conditions. However, extracting biological insights from cfDNA fragments entails navigating complex and diverse bioinformatics methods, encompassing not only DNA sequence variation, but also epigenetic characteristics like nucleosome footprints, fragment length, and methylation patterns. ResultsWe introduce Liquid Biopsy Feature extract (LBFextract), a comprehensive package designed to streamline feature extraction from cfDNA sequencing data, with the aim of enhancing the reproducibility and comparability of liquid biopsy studies. LBFextract facilitates the integration of preprocessing and postprocessing steps through alignment fragment tags and a hook mechanism. It incorporates various methods, including coverage-based and fragment length-based approaches, alongside two novel feature extraction methods: an entropy-based method to infer TF activity from fragmentomics data and a technique to amplify signals from nucleosome dyads. Additionally, it implements a method to extract condition-specific differentially active TFs based on these features for biomarker discovery. We demonstrate the use of LBFextract for the subtype classification of advanced prostate cancer patients using coverage signals at transcription factor binding sites from cfDNA. We show that LBFextract can generate robust and interpretable features that can discriminate between different clinical groups. LBFextract is a versatile and user-friendly package that can facilitate the analysis and interpretation of liquid biopsy data. Data and Code Availability and ImplementationLBFextract is freely accessible at https://github.com/Isy89/LBF. It is implemented in Python and compatible with Linux and Mac operating systems. Code and data to reproduce these analyses have been uploaded to 10.5281/zenodo.10964406.

A Model-Informed Drug Development Approach to Design a Phase 3 Trial of Teverelix Drug Product in Advanced Prostate Cancer Patients with Increased Cardiovascular Risk.

Teverelix drug product (DP) is a parenteral gonadotropin-releasing hormone (GnRH) antagonist that has been successfully tested in phase 2 trials for hormone-sensitive advanced prostate cancer (APC) and benign prostatic hyperplasia (BPH). In previous APC trials, teverelix DP was administered as intramuscular (IM) and subcutaneous (SC) injections, using a loading dose and (in a single trial) a maintenance dose. Our objective was to derive an optimal dosing regimen for phase 3 clinical development, using a pharmacometrics modeling approach. Data from 9 phase 2 studies (229 patients) was utilized to develop a population pharmacokinetic (PK) model that described the concentration profile accommodating both IM and SC routes of administration. A 2-compartment model with sequential first-order absorption (slow and fast) and lag times best described the PK profiles of teverelix following SC and IM administration. An indirect response model with inhibition of production rate was fit to describe testosterone (T) concentrations based on physiological relevance. The final population PK-pharmacodynamic model was used to conduct simulations of various candidate dosing regimens to select the optimal dosing regimen to achieve clinical castration (T<0.5ng/mL by day 28) and to sustain clinical castration for 26 weeks. Model simulation showed that a loading dose of 360mg SC and 180mg IM with a maintenance dose of 360mg SC 6-weekly (Q6W) starting at day 28 can achieve a ≥95% castration rate up to 52 weeks. This dose regimen was selected for phase 3 clinical development, which includes cardiovascular safety assessment in comparison to a GnRH agonist.

Comparing the diagnostic value of 68Ga-prostate-specific membrane antigen PET/CT and multiparametric MRI in pelvic lymph node metastasis of locally advanced prostate cancer.

Multiparametric magnetic resonance imaging (mpMRI) is a commonly used method to diagnose pelvic lymph node metastasis (PLNM) in prostate cancer (PCa) patients, but there are few comparative studies on mpMRI and 68Ga-prostate-specific membrane antigen (PSMA) positron emission tomography (PET)/computed tomography (CT) in locally advanced PCa (LAPC) patients. Therefore, we designed a retrospective study to compare the diagnostic value of 68Ga-PSMA PET/CT and mpMRI for PLNM of LAPC. A retrospective study was performed on 50 patients with LAPC who underwent radical prostatectomy (RP) in Tongji Hospital from 2021 to 2023. All patients underwent PET/CT and mpMRI examination, and were diagnosed as LAPC before surgery, followed by robot-assisted laparoscopic prostatectomy or laparoscopic RP and extended pelvic lymph node dissection (ePLND). Routine postoperative pathological examination was performed. According to the results, the sensitivity, specificity, positive predictive value, and negative predictive value of 68Ga-PSMA PET/CT and mpMRI for the diagnosis of PLNM of LAPC were compared. Among the 50 patients, the mean age was 65.5±10.3 years, the preoperative total serum prostate-specific antigen (PSA) was 30.7±12.3 ng/mL, and the Gleason score was 7 [7, 8]. The difference in diagnostic efficacy between 68Ga-PSMA PET/CT and mpMRI in the preoperative diagnosis of PLNM of PCa was determined by postoperative pathological results. Based on the number of patients who developed PLNM, the sensitivity, specificity, positive predictive value, and negative predictive value of 68Ga-PSMA PET/CT were as follows: 93.75%, 100.00%, 100.00%, 97.14%, and 68.75%, 97.06%, 91.67%, 86.84% for mpMRI, respectively. Based on the number of pelvic metastatic lymph nodes, the sensitivity, specificity, positive predictive value, and negative predictive value of 68Ga-PSMA PET/CT were 95.24%, 100.00%, 100.00%, 99.48%, and 65.08%, 99.13%, 89.13%, 96.30% for mpMRI, respectively. It turned out that PET/CT was more sensitive than mpMRI in detecting PLNM of PCa, and the difference was statistically significant. 68Ga-PSMA PET/CT is more sensitive than mpMRI in the detection of PLNM in patients with LAPC. It is a promising method in the diagnosis and preoperative assessment of PLNM in LAPC.

Treatment and Staging Intensification Strategies Associated with Radical Prostatectomy for High-Risk Prostate Cancer: Efficacy Evaluation and Exploration of Novel Approaches.

The management of high-risk prostate cancer (PCa) presents a significant clinical challenge, often necessitating treatment intensification due to the potential presence of micrometastases. While radical prostatectomy (RP) constitutes one of the primary treatment modalities, the integration of neoadjuvant and adjuvant therapies suggests a paradigm shift towards more aggressive treatment strategies, also guided by new imaging modalities like positron emission tomography using prostate-specific membrane antigen (PSMA-PET). Despite the benefits, treatment intensification raises concerns regarding increased side effects. This review synthesizes the latest evidence on perioperative treatment intensification and de-escalation for high-risk localized and locally advanced PCa patients eligible for surgery. Through a non-systematic literature review conducted via PubMed, Scopus, Web of Science, and ClinicalTrials.gov, we explored various dimensions of perioperative treatments, including neoadjuvant systemic therapies, adjuvant therapies, and the role of novel diagnostic technologies. Emerging evidence provides more support for neoadjuvant systemic therapies. Preliminary results from studies suggest the potential for treatments traditionally reserved for metastatic PCa to show apparent benefit in a non-metastatic setting. The role of adjuvant treatments remains debated, particularly the use of androgen deprivation therapy (ADT) and adjuvant radiotherapy in patients at higher risk of biochemical recurrence. The potential role of radio-guided PSMA lymph node dissection emerges as a cutting-edge approach, offering a targeted method for eradicating disease with greater precision. Innovations such as artificial intelligence and machine learning are potential game-changers, offering new avenues for personalized treatment and improved prognostication. The intensification of surgical treatment in high-risk PCa patients is a dynamic and evolving field, underscored by the integration of traditional and novel therapeutic approaches. As evidence continues to emerge, these strategies will refine patient selection, enhance treatment efficacy, and mitigate the risk of progression, although with an attentive consideration of the associated side effects.

Clinical Application of ISO and CEN/TS Standards for Liquid Biopsies-Information Everybody Wants but Nobody Wants to Pay For.

Liquid biopsies are emerging as valuable clinical biomarkers for cancer monitoring. Although International Organization for Standards (ISO) and Technical Specifications from the European Committee for Standardization (CEN/TS) standardized workflows exist, their implementation in clinical practice is underdeveloped. We aimed to assess the applicability of ISO and CEN/TS standards in a real-world clinical setting, with a particular focus on evaluating the impact of preanalytical parameters and hemolysis on liquid biopsy analysis. We evaluated 659 peripheral blood samples from advanced prostate cancer patients against ISO and CEN/TS standards and documented all essential criteria, including tube draw order, filling level, temperature, and time tracking from blood draw to storage. We assessed hemolysis and its effect on circulating tumor DNA (ctDNA) and circulating tumor cell (CTC) analysis. Our results demonstrated a high compliance rate, with 96.2% (634/659) of samples meeting essential ISO and CEN/TS criteria. We did not observe a significant impact on ctDNA or CTC detection rates between hemolytic and nonhemolytic samples. Hemolysis was identified in 12.9% (40/311) of plasma samples from our advanced prostate cancer cohort, and within the draw order of 5 blood collection tubes, hemolysis did not significantly increase from tube 1 to 5. In total, 83.8% (552/659) of blood collection tubes had high fill levels above 80% of nominal filling level. Our study demonstrates the feasibility and benefits of adhering to ISO and CEN/TS standards in a clinical liquid biopsy study. The standards revealed that hemolysis occurred frequently but did not impair downstream ctDNA and CTC analysis in our cohort of advanced prostate cancer patients.

Binding of interleukin-1 receptor antagonist to cholinergic receptor muscarinic 4 promotes immunosuppression and neuroendocrine differentiation in prostate cancer

The tumor microenvironment (TME) of prostate cancer (PCa) is characterized by high levels of immunosuppressive molecules, including cytokines and chemokines. This creates a hostile immune landscape that impedes effective immune responses. The interleukin-1 (IL-1) receptor antagonist (IL1RN), a key anti-inflammatory molecule, plays a significant role in suppressing IL-1-related immune and inflammatory responses. Our research investigates the oncogenic role of IL1RN in PCa, particularly its interactions with muscarinic acetylcholine receptor 4 (CHRM4), and its involvement in driving immunosuppressive pathways and M2-like macrophage polarization within the PCa TME. We demonstrate that following androgen deprivation therapy (ADT), the IL1RN-CHRM4 interaction in PCa activates the MAPK/AKT signaling pathway. This activation upregulates the transcription factors E2F1 and MYCN, stimulating IL1RN production and creating a positive feedback loop that increases CHRM4 abundance in both PCa cells and M2-like macrophages. This ADT-driven IL1RN/CHRM4 axis significantly enhances immune checkpoint markers associated with neuroendocrine differentiation and treatment-resistant outcomes. Higher serum IL1RN levels are associated with increased disease aggressiveness and M2-like macrophage markers in advanced PCa patients. Additionally, elevated IL1RN levels correlate with better clinical outcomes following immunotherapy. Clinical correlations between IL1RN and CHRM4 expression in advanced PCa patients and neuroendocrine PCa organoid models highlight their potential as therapeutic targets. Our data suggest that targeting the IL1RN/CHRM4 signaling could be a promising strategy for managing PCa progression and enhancing treatment responses.

Usability and feasibility of the open-source GeRI platform for remote assessments in older adults with prostate cancer.

e13664 Background: The Geriatric Remote Initiative (GeRI) is an open-source tool to collect patient-generated health data for older adults with cancer. It comprises a WiFi-enabled Raspberry Pi tablet, a Bangle.js 2 wrist accelerometer, and Mi Body Composition Scale 2 for data collection. Following the initial phase where feedback from older cancer survivors and caregivers refined a demonstration GeRI platform, this study deployed a live version of GeRI in advanced prostate cancer patients to evaluate its feasibility and usability. Methods: In this single-arm pilot feasibility and usability study, we evaluated GeRI among ten advanced prostate cancer patients aged ≥65 years undergoing androgen deprivation (ADT) across varied frailty risk categories. Participants interacted with GeRI for ≥12 weeks. Data collection comprised demographics, clinical information, and vulnerability assessment (Cancer and Aging Research Group [CARG] score) from in-clinic surveys. Biometric (wearable/scale) and electronic patient-reported outcomes data from the tablet were securely transmitted to the institution’s HIPAA-compliant cloud. Usability was evaluated using the System Usability Scale (SUS), aiming for an average score of 68 or higher. Feasibility was achieved if ≥6 participants completed at least 50% of all prompted interactions with the system components (surveys, wearable, and weight/bioimpedance) throughout a 12-week study period. Results: Ten men with metastatic hormone-sensitive prostate cancer [median age: 73 years; 40% minority; median of 3 months of ADT exposure (IQR: 2-4.5); 80% had intensified ADT with 60% getting concurrent prostate-directed radiation] engaged with GeRI for a median of 104 days (IQR: 93-131). 40% were vulnerable with a CARG&gt;5. System usability, evaluated by SUS, yielded a mean score of 84 (SD: 12.5). All participants met the feasibility criterion. Deficiencies in obtaining complete 48-hour accelerometry data from 7 participants were noted with only 1 being due to persistent non-wear of the wearable and the remainder due to transmission failure. Conclusions: The GeRI platform exhibited exceptional usability and met all feasibility benchmarks in a geriatric oncology setting, highlighting its potential despite technical hurdles in accelerometry data collection. Further deployment of GeRI is underway [or planned] through an expanded program focusing on other cancer types, including head and neck, and more robust biometric data collection.

Integrated single-cell analysis defines the epigenetic basis of castration-resistant prostate luminal cells

Understanding prostate response to castration and androgen receptor signaling inhibitors (ARSI) is critical to improving long-term prostate cancer (PCa) patient survival. Here, we use a multi-omics approach on 229,794 single cells to create a mouse single-cell reference atlas for interpreting mouse prostate biology and castration response. Our reference atlas refines single-cell annotations and provides a chromatin context, which, when coupled with mouse lineage tracing, demonstrates that castration-resistant luminal cells are distinct from the pre-existent urethra-proximal stem/progenitor cells. Molecular pathway analysis and therapeutic studies further implicate AP1 (JUN/FOS), WNT/β-catenin, FOXQ1, NF-κB, and JAK/STAT pathways as major drivers of castration-resistant luminal populations with relevance to human PCa. Our datasets, which can be explored through an interactive portal (https://visportal.roswellpark.org/data/tang/), can aid in developing combination treatments with ARSI for advanced PCa patients.

Long-Term Pharmacokinetic Follow-Up of Abiraterone Acetate in Patients with Metastatic Castration-Resistant Prostate Cancer.

This ABIGENE pharmacokinetic (PK) study sought mainly to characterize the unchanged drug PK during long-term abiraterone acetate (AA) administration in advanced prostate cancer patients (81 patients). It was observed that individual AA concentrations remained constant over treatment time, with no noticeable changes during repeated long-term drug administration for up to 120 days. There was no correlation between AA concentrations and survival outcomes. However, a significant association between higher AA concentrations and better clinical benefit was observed (p = 0.041). The safety data did not correlate with the AA PK data. A significant positive correlation (r = 0.40, p < 0.001) was observed between mean AA concentration and patient age: the older the patient, the higher the AA concentration. Patient age was found to impact steady-state AA concentration: the older the patient, the higher the mean AA concentration. Altogether, these data may help to guide future research and clinical trials in order to maximize the benefits of AA metastatic castration-resistant prostate cancer patients.

Targeting TUBB3 Suppresses Anoikis Resistance and Bone Metastasis in Prostate Cancer.

Bone metastases occur in more than 70% of advanced prostate cancer (PCa) patients, leading to a poor prognosis. Resistance to detachment-induced apoptosis, also known as anoikis, plays a crucial role in the onset of tumor metastasis. Targeting anoikis resistance is of immense therapeutic significance in repression of metastatic spread. In this study, based on an anoikis-related prognostic risk model of PCa, we identify TUBB3 as a key anoikis-related prognostic gene that is highly expressed in bone metastatic PCa. TUBB3 expression is increased in anoikis-resistant PCa cells, and TUBB3 depletion significantly reverses anoikis resistance during extracellular matrix (ECM) detachment and inhibits anoikis-resistance-induced PCa cell invasion and migration as well as epithelial-mesenchymal transition (EMT) process. TUBB3 knockdown significantly reduces αvβ3/FAK/Src axis activation, blocking its downstream oncogenic signaling. In addition, we develop bone-targeting lipid nanoparticles (BT-LNP) based on bisphosphonate-modified ionizable lipid for systemic delivery of siRNA targeting TUBB3 (siTUBB3). BT-LNP-delivered siTUBB3 therapy with localization in the bone microenvironment significantly attenuate PCa bone metastasis progression in vivo upon intravenous administration. These findings pinpoint that TUBB3, as a key regulator of anoikis resistance, is an effective therapeutic target in bone metastatic PCa and that BT-LNP-mediated systemic delivery of siTUBB3 can be developed as a novel therapeutic strategy for this disease. This article is protected by copyright. All rights reserved.

Cancer associated fibroblast secreted miR-432-5p targets CHAC1 to inhibit ferroptosis and promote acquired chemoresistance in prostate cancer.

Prostate cancer (PCa) ranks as the sixth most serious male malignant disease globally. While docetaxel (DTX) chemotherapy is the standard treatment for advanced PCa patients with distant metastasis, some individuals exhibit insensitivity or resistance to DTX. Cancer-associated fibroblasts (CAFs) play a pivotal role as stromal cells within the tumor microenvironment, influencing tumor development, progression, and drug resistance through exosomes. Ferroptosis, a novel form of programmed cell death, is characterized by intracellular iron accumulation that triggers lipid peroxidation, ultimately leading to cell demise. To delve into the potential mechanisms of chemotherapy resistance in prostate cancer, our research delved into the impact of CAF-derived exosomes on ferroptosis. Our findings revealed that CAF exosomes hindered the buildup of lipid reactive oxygen species (ROS) in prostate cancer cells induced by erastin, as well as mitigated erastin-induced mitochondrial damage, thereby impeding iron-induced cell death in prostate cancer cells. Furthermore, miR-432-5p was identified to diminish glutathione (GSH) consumption by targeting CHAC1, consequently inhibiting ferroptosis in prostate cancer cells. Our study found that miR-432-5p, originating from cancer-associated fibroblast (CAF) exosomes, suppresses ferroptosis by targeting CHAC1, thereby increasing resistance to docetaxel (DTX) in PCa. This research introduces a novel approach to address resistance to DTX.

Comparative Efficacy of Goserelin vs. Leuprolide in Advanced Prostate Cancer in Patients Undergoing Androgen Deprivation Therapy

Comparative Efficacy of Goserelin vs. Leuprolide in Advanced Prostate Cancer in Patients Undergoing Androgen Deprivation Therapy

Bone marrow dosimetry in low volume mHSPC patients receiving Lu-177-PSMA therapy using SPECT/CT

BackgroundBone marrow toxicity in advanced prostate cancer patients who receive [177Lu]Lu-PSMA-617 is a well-known concern. In early stage patients; e.g. low volume metastatic hormone sensitive prostate cancer (mHSPC) patients, prevention of late bone marrow toxicity is even more crucial due to longer life expectancy. To date, bone marrow dosimetry is primarily performed using blood sampling. This method is time consuming and does not account for possible active bone marrow uptake. Therefore other methodologies are investigated. We calculated the bone marrow absorbed dose for [177Lu]Lu-PSMA-617 in mHSPC patients using SPECT/CT imaging and compared it to the blood sampling method as reference.MethodsEight mHSPC patients underwent two cycles (3 and 6 GBq) of [177Lu]Lu-PSMA-617 therapy. After each cycle, five time point (1 h, 1 day, 2 days, 3 days, 7 days) SPECT/CT was performed at kidney level. Bone marrow dosimetry was performed using commercial software by drawing ten 1.5 cm diameter spheres in the lowest ten vertebrae to determine the time-integrated activity. Simplified protocols using only 2 imaging time points and 3 vertebrae were also compared. Blood-based dosimetry was based on the blood sampling method according to the EANM guideline.ResultsMean bone marrow absorbed dose was significantly different (p < 0.01) for the imaging based method (25.4 ± 8.7 mGy/GBq) and the blood based method (17.2 ± 3.4 mGy/GBq), with an increasing absorbed dose ratio between both methods over time. Bland Altman analysis of both simplification steps showed that differences in absorbed dose were all within the 95% limits of agreement.ConclusionThis study showed that bone marrow absorbed dose after [177Lu]Lu-PSMA-617 can be determined using an imaging-based method of the lower vertebrae, and simplified using 2 time points (1 and 7 days) and 3 vertebrae. An increasing absorbed dose ratio over time between the imaging-based method and blood-based method suggests that there might be specific bone marrow binding of [177Lu]Lu-PSMA-617.

Abstract 3690: Monitoring prostate specific membrane antigen or androgen receptor expression on circulating stromal cells in advanced prostate cancer patients and their correlation with patient response

Abstract Background: Metastatic Prostate cancer (mPCa) mortality rates are high despite numerous treatment options against various mechanisms of action, including targeted therapies, i.e. prostate specific membrane antigen (PSMA)-targeted therapy (Pluvicto) or anti-androgen receptor (AR) (Enzulamide, Biculamide). Further, tumor biomarkers (i.e. PSMA and AR) can change over time and with resistance mechanisms that develop after treatments. This suggests that primary biopsies may not represent later PCa tumors necessitating a way to identify patients that may respond to later line therapies. Blood based biopsies can be used to monitor PCa treatment, which can include circulating tumor cells (CTCs) and the newly discovered cancer associated macrophage like cells (CAMLs), a cancer specific circulating phagocytic stromal cells. Interestingly, while PSMA &amp; AR have been identified in CTCs, they have not been evaluated in CAMLs, nor have PSMA &amp; AR expressions in CTCs &amp; CAMLs been evaluated in anti-AR therapy settings. We measured CAMLs &amp; CTCs in mPCa to evaluate their PSMA &amp; AR expression, including in patients treated with anti-AR therapy. Methods: We evaluated CAMLs &amp; CTCs in a multi-institutional prospective pilot study using n=30 mPCa patients with progressive disease, prior to starting a new line of therapy (T0). Whole peripheral blood (7.5mL) was filtered for CAMLs &amp; CTCs and stained for PSMA (n=15) &amp; AR (n=15). In addition, 15 patients were treated with anti-AR therapy as standard of care and responses by PET/CT were compared against AR expression. When possible, follow up samples (T1) were also procured. Results: CTCs were identified in 16% (n=5/30) of patients and CAMLs were identified in 96% (n=29/30), with 53% of patients having hyperengorged CAMLs ≥50 μm (n=16/30). CTCs in patients were not statistically significant for worse outcomes PFS HR= 0.1748, p=0.546 nor OS (HR= 1.303, p=0.865), nor were CAMLs prognostic for PFS or OS. However, patients with ≥50 μm CAMLs did have significantly worse PFS (HR= 5.9, CI95% 2.2-16.3, p=0.001) and worse OS (HR= 3.1, CI95% 1.3-7.1, p=0.016). Further, PSMA CAML/CTC expression was high in 60% (n=9/15) of patients and AR CAML/CTC expression was high in 53% (n=8/15). Of the n=15 patients who received anti-AR therapy after T0, high AR expressing CAMLs/CTCs (n=8/15) had a ~250% better mPFS of 10.3 months (mons) (progressing at 2.2-32.6 mons) vs low AR CAMLs/CTCs mPFS of 4 mons (progressing at 0.2-7.2 mons). Additional mOS analysis from T1 samples and 2-year survival is ongoing. Conclusion: We utilized liquid biopsies to monitor the expression of two common cell surface receptors (PSMA &amp; AR) in CAMLs and CTCs in mPCa. Further, in a small subset of patients treated with AR therapy, high AR CTC/CAML expression appeared to correlate with better response rates, though larger prospective studies are needed. Citation Format: Dimpal M. Kasabwala, Raymond C. Bergan, R. Katherine Alpaugh, Daniel C. Danila, Tuan L. Chuang, Brenda Y. Hurtado, Daniel L. Adams. Monitoring prostate specific membrane antigen or androgen receptor expression on circulating stromal cells in advanced prostate cancer patients and their correlation with patient response [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 3690.

Abstract 6965: Characterizing the proteome landscape of extracellular vesicles from prostate cancer cell lines by mass spectrometry

Abstract Multiple subtypes of prostate cancer can emerge in advanced stages of disease, such as tumors that maintain androgen receptor features (AR+), those without AR but with neuroendocrine features (AR-/NE+), and those without AR or NE features (AR-/NE-). These latter subtypes are particularly aggressive and incredibly lethal. Extracellular vesicles (EVs) are small particles that are mediators of cell-cell communication and have been nominated as potential biomarkers of disease state. We hypothesized that the proteome of EVs contains information about their originating cell that can distinguish between prostate cancer subtypes. To address this, we isolated EVs from cell lines of differing subtypes – AR+ (LNCaP, LNCaP95, C4-2, 22RV1), AR-/NE+(NCI-H660, EF1, LASCPC-01), and AR-/NE- (PC3, DU145) – and prepared the EV proteome for quantitative, label-free mass spectrometry analysis. This identified 2,000+ proteins in the EVs for each cell line where EVs from similar subtypes clustered together. Interestingly, we also found that EVs contained enough protein information to utilize developed gene signatures for AR or NE activity. EVs isolated from AR-/NE+ cells contained known NE signature proteins such as SYP, CHGA, and UCHL1. EVs from the AR+ cell lines displayed &amp;gt;50% AR activity driven by PSA and STEAP1 proteins in addition to other significant distinguishing protein markers. This supports the potential for using the proteome of tumor-derived EVs to identify novel signature molecular markers besides those already known to the field for developing liquid-based biomarker assays. In addition, our work characterizes the EV surfaceome which is critical for enriching signals from tumor-derived EVs feasible for clinical diagnostics assay development. While PSMA has been a reliable marker for cells reliant on AR signaling, less is known about protein markers in the AR- subset. Our work highlights TROP2 as especially enriched in the EVs from AR-/NE- cell lines, supporting its relevance as a target in patients without treatment options. To evaluate disease outcomes, further clinical studies are needed to develop specific and sensitive tests based on the EV proteome derived from advanced prostate cancer patients. Citation Format: Megan L. Ludwig, Abderrahman Day, Hannah E. Bergom, Zoi Sychev, Alec Horrmann, Justin Hwang, Justin M. Drake. Characterizing the proteome landscape of extracellular vesicles from prostate cancer cell lines by mass spectrometry [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 6965.

Abstract 4157: Combining hyperpolarized magnetic resonance and positron emission tomography to interrogate prostate cancer metabolism

Abstract Background: There is an unmet clinical need for imaging biomarkers to distinguish indolent from aggressive prostate cancer (PCa). Many advanced and aggressive PCa patients receiving anti-androgens (enzalutamide) develop resistance. It is hypothesized that dysregulated cell metabolism is a key driver for PCa progression and therapy resistance. Two pathways commonly involved in PCa are glycolysis and fatty acid metabolism. Therefore, metabolic imaging and metabolomics were performed on enzalutamide sensitive/resistant, Androgen Receptor dependent (AR+) and AR independent (AR-) patient derived xenograft (PDX) tumors. To interrogate both pathways, [1-13C]-pyruvate hyperpolarized magnetic resonance spectroscopy (HP-MRS) and [18F]-fluorodeoxyglucose positron emission tomography (18F-FDG) for glycolysis, and [18F]-fluoro-pivalic acid positron emission tomography (18F-FPIA) for fatty acid metabolism were employed. 1H Nuclear Magnetic Resonance (NMR) spectroscopy and liquid chromatography with tandem mass spectrometry (LC-MS-MS) were employed for validation purposes. Methods: [1-13C]-labeled pyruvic acid was hyperpolarized using a DNP HyperSense polarizer following standard protocol. Anatomical MRI and 13C-MRS were obtained on different PCa PDX mouse models at two different time points using a Bruker 7T scanner. The PDX models included AR+ enzalutamide sensitive (183-A, 180-30), AR+ enzalutamide resistant (274-4), and AR- (144-4, 114-B). The time points imaged were before and after 7 days of treatment with enzalutamide. 1H-NMR spectroscopy was performed on extracted tissue. Simultaneously, 18F-FPIA-PET imaging were acquired on the same models on an Albira trimodal PET station. Results: The dynamic metabolic flux ratio, lactate-to-pyruvate (Lac/Pyr) was determined in vivo and used as a treatment response marker. The Lac/Pyr ratios were significantly higher in resistant tumors compared to sensitive tumors (p&amp;lt;0.01). The enzalutamide sensitive group had a lower Lac/Pyr ratio after treatment, while the enzalutamide resistant group had a higher Lac/Pyr ratio. After treatment, there was also a decrease in [18F]-FDG uptake, corresponding to the HP-MRS data. This was expected as both Pyruvate and [18F]-FDG interrogate the glycolytic pathway. As for the fatty acid metabolic imaging, PET imaging also revealed that [18F]-FPIA is transported into the tumors, and we are currently exploring how its uptake varies between AR (+/-) PCa-PDX tumors and enzalutamide resistant/sensitive models. Ex vivo NMR and mass spectrometry-based metabolomics validated the in vivo HP-MRS data with higher lactate levels in drug resistant tumors. Conclusion: Combining HP-MRS and PET presents an exciting opportunity to realize imaging-based personalized medicine in different AR (+/-) PCa-PDX preclinical models by interrogating glycolysis and fatty acid oxidation pathways. Citation Format: Muxin Wang, José S. Enriquez, Prasanta Dutta, Jenny Han, Peter Shepherd, Daniel Frigo, Federica Pisaneschi, Pratip K. Bhattacharya. Combining hyperpolarized magnetic resonance and positron emission tomography to interrogate prostate cancer metabolism [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 4157.

Abstract 3665: Stratifying prostate cancer patients through circulating genes related to prostate cell subtypes, drug targets, and therapeutic resistance

Abstract Stratification remains an obstacle for the optimal treatment of prostate cancer (PCa) patients throughout the treatment trajectory. Targeting the androgen receptor (AR) kills the majority of luminal-like cells, which are AR-positive and express Prostate Specific Antigen (PSA). However, a subset of surviving AR-positive cells develop resistance to treatments while AR-negative cells of the neuroendocrine (NE) or stem-like phenotypes emerge through selection. We reported on the clinical relevance of cell-subtype genes in whole blood RNA of advanced PCa patients. Here, we studied an expanded panel of genes to include drug targets and therapeutic resistance as predictive biomarkers to stratify patients at diagnosis and at the advanced stage of disease.Genes were chosen based on literature review, results of clinical trials in PCa, and PCa transcriptomic data. Technical validation of TaqMan RT-qPCR assays was carried out for each gene, including rigorous testing of reproducibility. Whole blood RNA was extracted from 26 healthy controls with no prostatic disease, 16 patients prior to prostatectomy, and 43 blood samples from 28 metastatic cases. Gene overexpression was defined as the 99.5% confidence interval of expression in controls. Clinical data were retrieved from patients’ charts.A panel of 64 genes was built, showing overexpression in advanced PCa but low or no expression in normal blood (including whole blood, white and red blood cell populations and platelets). Testing in control blood showed no correlation with age. The proportions of patients’ white blood cells did not correlate with gene expression in their blood. Overall, up to 44/64 genes were overexpressed in at least one patient sample. Patients with prostatic intraductal carcinoma at prostatectomy showed more circulating genes, including more NE and stemness genes, and more PCa cell subtypes represented. Intermediate and high-risk patients showed more circulating NE genes. In metastatic patients, signatures of luminal, NE, stemness, and resistance to AR inhibitors or taxanes were associated with progression. PCa-specific luminal genes were associated with shorter overall survival. Treatment resistance genes correlated with lines of treatment and current taxanes. Two targetable NE genes were overexpressed in distinct categories of patients, suggesting that they may benefit from more specific treatments.In conclusion, phenotypic and functional differences in circulating gene patterns of PCa patients correlate with pathological features, treatments, progression. They may be clinically meaningful to stratify patients and predict therapeutic response. Circulating genes encoding drug targets may justify clinical trials to offer personalized treatments and impact on lethal PCa. Citation Format: Seta Derderian, Edouard Jarry, Arynne Santos, Mohanachary Amaravadi, Quentin Vesval, Lucie Hamel, Raphael Sanchez-Salas, Alexis Rompré-Brodeur, Wassim Kassouf, Raghu Rajan, Marie Duclos, Fadi Brimo, Armen Aprikian, Simone Chevalier. Stratifying prostate cancer patients through circulating genes related to prostate cell subtypes, drug targets, and therapeutic resistance [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 3665.

Abstract 5651: Personalized transcriptomic profiling for advanced prostate cancer: Guiding second-generation hormonal drug selection

Abstract Introduction: Second-generation hormonal drugs have demonstrated significant efficacy in extending the survival of patients with advanced prostate cancer. These drugs operate through two distinct molecular mechanisms: inhibition of androgen biosynthesis and blockade of the androgen receptor. However, due to concerns of side effects, concurrent usage of multiple drugs is not recommended. A notable challenge is the eventual development of drug resistance, rendering all second-generation hormonal therapies ineffective. Currently, there is a lack of guidelines for helping patients choose the most suitable drug. In the context of pharmacogenomics, genetic differences can influence drug susceptibility and efficacy, with variations in genomic sequences and regulatory mechanisms impacting drug response at the transcriptional and translational levels. Considered the rapid processing capabilities of Affymetrix transcriptomic microarrays, we hypothesized that distinct gene signatures in patients who respond well or poorly to second-generation hormonal drugs could be identified and could act as a companion diagnostic tool. Methods: We enrolled 180 advanced prostate cancer patients, who fulfilled Taiwan national health insurance criteria of using second-generation hormonal drugs, from seven medical centers or regional hospitals in Taiwan at 3 time points: prior to drug administration, 3 months after treatment started and drug resistance developed. The RNA expression data and clinical parameters were analyzed, and classification models were built using IPA and R. Good or poor responders were defined by 3-month prostate-specific antigen (PSA) lowered by 90 percent. Results:: Differential expression and enrichment analyses post-treatment highlighted the activation of NF-kappa B signaling and various immune cell pathways. Notably, pathways related to primary immunodeficiency and IL-17 became prominent following the development of drug resistance. At the initial stages, distinct alterations in cell cycle pathways, particularly G1/S and G2/M, were observed between good and poor responders. This was elucidated through principal component analysis and subsequent dbscan clustering. To further distinguish between these responder groups, we utilized an integrative approach for feature selection, combining support vector machine, random forest classifier, and lasso regression. Despite the innovative approach, the model's error rate stood at approximately 15%, attributed mainly to the limited number of cases. Conclusion: Our study highlights the potential of using transcriptomic analysis to predict responses to second-generation hormonal drugs in advanced prostate cancer, paving the way for personalized treatment strategies. However, the need for larger cohort studies is evident to refine these predictive models and enhance their accuracy. Citation Format: Li-Hsin Chang, Hao-Han Chang, Xin-Yi Lin, Shu-Chi Wang, Chih-Pin Chuu, Deng-Neng Chen, Shu-Pin Huang, Chia-Yang Li. Personalized transcriptomic profiling for advanced prostate cancer: Guiding second-generation hormonal drug selection [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 5651.