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  • 1
    In: Frontiers in Endocrinology, Frontiers Media SA, Vol. 14 ( 2023-3-29)
    Abstract: Neuroendocrine prostate cancer (NEPC) is a highly aggressive subtype of prostate cancer. NEPC is characterized by the loss of androgen receptor (AR) signaling and transdifferentiation toward small-cell neuroendocrine (SCN) phenotypes, which results in resistance to AR-targeted therapy. NEPC resembles other SCN carcinomas clinically, histologically and in gene expression. Here, we leveraged SCN phenotype scores of various cancer cell lines and gene depletion screens from the Cancer Dependency Map (DepMap) to identify vulnerabilities in NEPC. We discovered ZBTB7A, a transcription factor, as a candidate promoting the progression of NEPC. Cancer cells with high SCN phenotype scores showed a strong dependency on RET kinase activity with a high correlation between RET and ZBTB7A dependencies in these cells. Utilizing informatic modeling of whole transcriptome sequencing data from patient samples, we identified distinct gene networking patterns of ZBTB7A in NEPC versus prostate adenocarcinoma. Specifically, we observed a robust association of ZBTB7A with genes promoting cell cycle progression, including apoptosis regulating genes. Silencing ZBTB7A in a NEPC cell line confirmed the dependency on ZBTB7A for cell growth via suppression of the G1/S transition in the cell cycle and induction of apoptosis. Collectively, our results highlight the oncogenic function of ZBTB7A in NEPC and emphasize the value of ZBTB7A as a promising therapeutic strategy for targeting NEPC tumors.
    Type of Medium: Online Resource
    ISSN: 1664-2392
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2023
    detail.hit.zdb_id: 2592084-4
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  • 2
    In: Molecular Cancer Research, American Association for Cancer Research (AACR), Vol. 18, No. 8 ( 2020-08-01), p. 1176-1188
    Abstract: The increased treatment of metastatic castration-resistant prostate cancer (mCRPC) with second-generation antiandrogen therapies (ADT) has coincided with a greater incidence of lethal, aggressive variant prostate cancer (AVPC) tumors that have lost dependence on androgen receptor (AR) signaling. These AR-independent tumors may also transdifferentiate to express neuroendocrine lineage markers and are termed neuroendocrine prostate cancer (NEPC). Recent evidence suggests kinase signaling may be an important driver of NEPC. To identify targetable kinases in NEPC, we performed global phosphoproteomics comparing several AR-independent to AR-dependent prostate cancer cell lines and identified multiple altered signaling pathways, including enrichment of RET kinase activity in the AR-independent cell lines. Clinical NEPC patient samples and NEPC patient-derived xenografts displayed upregulated RET transcript and RET pathway activity. Genetic knockdown or pharmacologic inhibition of RET kinase in multiple mouse and human models of NEPC dramatically reduced tumor growth and decreased cell viability. Our results suggest that targeting RET in NEPC tumors with high RET expression could be an effective treatment option. Currently, there are limited treatment options for patients with aggressive neuroendocrine prostate cancer and none are curative. Implications: Identification of aberrantly expressed RET kinase as a driver of tumor growth in multiple models of NEPC provides a significant rationale for testing the clinical application of RET inhibitors in patients with AVPC.
    Type of Medium: Online Resource
    ISSN: 1541-7786 , 1557-3125
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
    detail.hit.zdb_id: 2097884-4
    SSG: 12
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  • 3
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2023
    In:  Cancer Research Vol. 83, No. 7_Supplement ( 2023-04-04), p. 2405-2405
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 7_Supplement ( 2023-04-04), p. 2405-2405
    Abstract: Background: Mutations in DNA Damage Response (DDR) genes, including Ataxia, Telangiectasia, Mutated (ATM), are common in advanced castration-resistant prostate cancers (CRPCs). Poly (ADP-ribose) polymerase (PARP) inhibitors are approved in DDR mutant CRPCs, but demonstrate limited clinical efficacy in CRPCs with ATM mutations. In this project, we sought to specifically define the impact of ATM loss on DDR pathways in CRPC, with the goal of identifying alternate therapeutic vulnerabilities. Methods: ATM-KO CRPC cell lines were generated via CRISPR-Cas9 mediated knockout. ATM loss and abolishment of downstream ATM kinase activity was confirmed via western blot. We performed an unbiased phospho-proteomic evaluation of DDR pathways in parental and ATM-KO cells after ionizing radiation (IR). Clonogenic survival assays were performed with either an ATR inhibitor (VX970), the selective DNA-PKcs inhibitor (M3814), or combination therapy. Kinetics of DDR protein recruitment and resolution were interrogated with immunofluorescence (IF) staining for γH2ax, 53BP1, MDC1, and Rad51 foci. Results: ATM-KO cells were able to effectively repair DNA damage following IR, as measured by recruitment and resolution of γH2ax, 53BP1, MDC1, and Rad51 foci. Phospho-proteomic studies demonstrated that ATM-KO cells maintain canonical DDR pathways through ATR and DNA-PKcs kinase activation. Treatment of ATM-KO cells with either VX-970 or M3814 only incrementally affected DDR in ATM-KO cells compared to parental controls, as evidenced by clonogenic survival assays and maintenance of DDR foci. Importantly, combination treatment with VX-970 and M3814 prevented downstream DDR foci recruitment and radio-sensitized ATM-KO CRPC to a greater extent than parental controls. This suggested that activity of any of the trinity of kinases is sufficient to mediate DDR, and that blockade of both ATR and DNA-PKcs is required to effectively prevent DDR in ATM-KO CRPC. We then leveraged a RUVBL1 ATPase inhibitor Compound B, which significantly attenuates levels of these kinases in lung cancer cells. We confirmed that Compound B treatment attenuated ATR and DNA-PKcs protein expression and kinase activity in ATM-KO CRPC cells, and demonstrated sensitivity of ATM-KO cells to Compound B. Conclusions: Our data demonstrates that dual targeting of ATR and DNA-PKcs is necessary in ATM-KO CRPC, as either kinase is independently capable of mediating DDR following IR. Our initial studies indicate that the RUVBL1 ATPase inhibitor Compound B may effectively block DDR in ATM-mutant CRPC, and could be utilized as a novel therapeutic strategy in this molecular subtype. Citation Format: Mia Hofstad, Lan Yu, Andrea Woods, Zoi Sychev, Collin Gilbreath, Xiaofang Huo, Ralf Kittler, Justin M. Drake, Ganesh V. Raj. Delineating molecular vulnerabilities of ATM mutant prostate cancers [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 2405.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
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    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 4
    In: eLife, eLife Sciences Publications, Ltd, Vol. 8 ( 2019-07-08)
    Abstract: The activity of Src-family kinases (SFKs), which phosphorylate immunoreceptor tyrosine-based activation motifs (ITAMs), is a critical factor regulating myeloid-cell activation. We reported previously that the SFK LynA is uniquely susceptible to rapid ubiquitin-mediated degradation in macrophages, functioning as a rheostat regulating signaling (Freedman et al., 2015). We now report the mechanism by which LynA is preferentially targeted for degradation and how cell specificity is built into the LynA rheostat. Using genetic, biochemical, and quantitative phosphopeptide analyses, we found that the E3 ubiquitin ligase c-Cbl preferentially targets LynA via a phosphorylated tyrosine (Y32) in its unique region. This distinct mode of c-Cbl recognition depresses steady-state expression of LynA in macrophages derived from mice. Mast cells, however, express little c-Cbl and have correspondingly high LynA. Upon activation, mast-cell LynA is not rapidly degraded, and SFK-mediated signaling is amplified relative to macrophages. Cell-specific c-Cbl expression thus builds cell specificity into the LynA checkpoint.
    Type of Medium: Online Resource
    ISSN: 2050-084X
    Language: English
    Publisher: eLife Sciences Publications, Ltd
    Publication Date: 2019
    detail.hit.zdb_id: 2687154-3
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  • 5
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2023
    In:  Cancer Research Vol. 83, No. 11_Supplement ( 2023-06-02), p. B045-B045
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 11_Supplement ( 2023-06-02), p. B045-B045
    Abstract: The purpose of this study was to develop a single-cell proteomic protocol capable of analyzing single circulating tumor cells (CTCs). Despite the numerous benefits possible from the analysis of CTCs they have not migrated into clinical use due to difficulty of purification and their minute numbers. Combined, this results in only miniscule amounts of sample, if any, for analysis. Most clinical assays primarily focus on genomic and/or transcriptomic assays, while only a select number of proteomic assays are used and these analyze a handful of targets at most. Recent developments in single-cell proteomics using liquid chromatography tandem mass spectrometry (LC-MS/MS) promise to solve this latter issue and increase the depth of proteome coverage. To analyze CTCs we adapted previously developed single-cell methodologies to be amenable for the analysis of CTCs. Our novel method uses a separately prepared carrier channel as opposed to traditional methods which rely on a large pool of the single-cells of interest. This is necessary since collected CTC’s will not have a large pool of similar cells to draw upon to form a carrier. As the carrier is prepared in bulk it allows for improved quality control measurements to be implemented. This is critical as for clinical use these metrics will be vital for ensuring repeatability and reliability of results. Using our developed protocol, we are able to analyze hundreds of proteins from each simulated CTC. Additionally, we demonstrate that a separately prepared carrier composed of cells from a different lineage still permits the identification of a wide array of proteins within single-cells as well as allows for better quality control over the digestion and TMT labeling efficiencies. In conclusion, our protocol demonstrates its capability to detect and quantify hundreds of proteins from individual cells. If this method was applied towards the analysis of CTCs it would represent by far the most comprehensive method for analysis of the proteome of single CTCs. Together, this provides a foundation for translating proteomic analysis of single CTCs towards guiding individualized cancer treatment in the clinic. Citation Format: Alec Horrmann, Zoi Sychev, Justin M. Drake. Single cell proteomics as a method to analyze circulating tumor cells in prostate cancer patients [abstract]. In: Proceedings of the AACR Special Conference: Advances in Prostate Cancer Research; 2023 Mar 15-18; Denver, Colorado. Philadelphia (PA): AACR; Cancer Res 2023;83(11 Suppl):Abstract nr B045.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
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    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 6
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2023
    In:  Cancer Research Vol. 83, No. 11_Supplement ( 2023-06-02), p. A005-A005
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 11_Supplement ( 2023-06-02), p. A005-A005
    Abstract: Background: Patients treated with Androgen Deprivation Therapy (ADT) have been shown to increase the expression of constitutively active Androgen Receptor (AR) splice variants (AR-Vs). These splice variants lack the ligand binding domain at the C-terminus of AR, required for binding to antiandrogen therapies. AR-V7 has also been correlated to the development and progression of castration resistant prostate cancer (CRPC). As not all circulating tumor cells (CTCs) contain AR-V7, we hypothesized that other AR-Vs are involved in the mechanism of resistance to ADT commonly seen in CRPC. To test this, we developed an mRNA quantitative assay targeting AR-Vs and then correlated our results with a targeted mass spectrometry (MS) based protein assay. This work will provide a feasible quantification of AR-V transcripts and that may provide a stratification for predicted responses to ADT treatment in patients that could be useful to clinicians. Methods: The absolute copy number of total AR, AR-V2, AR-V7, AR-V12, and AR-V23 were determined in eight different PCa cell lines and 48 patient derived xenografts (PDXs) using qRT-PCR assays. We performed siRNA targeting of these variants to evaluate primer specificity by evaluating knockdown efficiencies. These results will be correlated to targeted MS quantification of AR-Vs in each cell model. Results: We found that the most highly expressed variants in PCa cell lines were AR-V7 and AR-V12. In the LuCaP PDX model, AR-V12 was shown to have the highest expression of the AR-Vs tested. Specificity of AR-V knockdown was tested using AD-1 (which only expresses the full- length AR transcript) and R1-D567 (which only expresses AR-V567es, an AR-V12-like variant) cell lines. Conclusions: We were able to determine the landscape of AR-V mRNA expression in eight PCa cell lines and in 48 PDX tumor samples. This data will be correlated to protein expression currently being analyzed using a targeted MS method developed in our lab. Our work will be useful to help clinicians stratify PCa patients based on their AR-V expression profiles. This will establish a prognostic biomarker program that measures AR-V proteins in real time from clinical biopsy tissues, circulating tumor cells, or exosomes and informs the clinician on which course of treatment may be effective for each patient. Establishing a CRPC biomarker other than AR-V7 that can help explain the AR-V7 negative CRPC patients could eventually improve clinical application and predictive treatment outcomes. Citation Format: Gabrianne Larson, Zoi Sychev, Stephen Plymate, Eva Corey, Justin M. Drake. Androgen receptor variants mRNA absolute quantification in prostate cancer cell models [abstract]. In: Proceedings of the AACR Special Conference: Advances in Prostate Cancer Research; 2023 Mar 15-18; Denver, Colorado. Philadelphia (PA): AACR; Cancer Res 2023;83(11 Suppl):Abstract nr A005.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 7
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 7_Supplement ( 2023-04-04), p. 2309-2309
    Abstract: In recent years, liquid biopsies have emerged to provide improved insights on the current disease state of a patient, but they generally rely on a small number of protein markers from immunofluorescent staining or cell-free DNA, which provides limited information especially around drug targets. As more targeted and immune therapies enter the market, selecting the optimal drug target could improve patient outcomes drastically. One way to achieve this goal is to generate multi-omic datasets from the cancer cells in circulation, known as circulating tumor cells (CTCs). In this study, Astrin Biosciences’ patented isolation technology was used to enrich CTCs with high purity from the blood of metastatic castration resistant prostate cancer (mCRPC) patients. The enriched CTCs and a patient matched control sample consisting primarily of white blood cells were divided such that RNA and protein could be interrogated from the same patient. Label free unbiased mass spectrometry was used to identify proteins and marks the first time a global proteomic assessment has been performed in CTCs from cancer patients. Initial analysis identified over 1,500 peptides corresponding to greater than 500 proteins with increased epithelial cell markers in the CTC-enriched sample and increased WBC markers in the control sample. Hallmarks of androgen response and detection of the androgen receptor were also identified in the CTC proteome. In addition to the proteome, RNA sequencing will also be performed to generate a multi-omic platform to detect cancer signaling mechanisms and biomarkers. Overall, this study was designed to show the feasibility of obtaining multi-omic data from a liquid biopsy and future studies will provide more insight into the clinical utility of such data. As we analyze more patients, we plan to compare the protein and RNA signatures across mCRPC patients and eventually be able to map patient outcomes and correlate them with drug response with the overall goal to improve treatment selection and patient outcomes. Citation Format: Justin M. Drake, Zoi Sychev, Alec Horrmann, Kaylee J. Smith, Catalina Galeano-Garces, Ali Arafa, Nicholas Heller, Mahdi Ahmadi, Jiarong Hong, Megan Ludwig, Justin Hwang, Emmanuel S. Antonarakis, Jayant Parthasarathy. Unlocking the proteome of metastatic prostate cancer circulating tumor cells [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 2309.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 8
  • 9
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2023
    In:  Cancer Research Vol. 83, No. 11_Supplement ( 2023-06-02), p. B047-B047
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 11_Supplement ( 2023-06-02), p. B047-B047
    Abstract: Multiple subtypes of prostate cancer can emerge in the advanced stages of disease, such as androgen receptor (AR+), AR indifferent with neuroendocrine features (AR-/NE+), and those without AR or NE features (double negative, DN). These latter variants are particularly aggressive and incredibly lethal. Extracellular vesicles (EVs), also known as exosomes, are small particles that are important mediators of cell-cell communication and have been nominated as potential biomarkers of disease state. We hypothesized that the proteome of extracellular vesicles contains enough information about their originating cell that they can distinguish between prostate cancer subtypes. To address this, we isolated EVs from prostate cancer 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 mass spectrometry analysis. This identified 2,000+ proteins in the EVs for each cell line. From our analysis, we found that the EVs from cell lines of similar subtypes clustered together with several hundred proteins statistically different between the three groups. Interestingly, we also found that EVs contained enough protein information to utilize already developed gene signature scores for AR or NE activity. EVs isolated from the AR-/NE+ cell line NCI-H660 scored over 90% with a 121 gene NE signature and included proteins such as SYP, CHGA, and UCHL1. EVs from all the AR+ cell lines displayed & gt;80% AR activity that was driven by high expression of PSA and STEAP1. This supports the idea that we can use the proteome of tumor-derived EVs to identify signature molecular markers that are already known to the field to develop liquid-based biomarker assays. Further work in the clinical setting is needed to evaluate the ability for EVs to be specific, informative biomarkers for prostate cancer disease status. Citation Format: Megan Ludwig, Zoi Sychev, Abderrahman Day, Hannah Bergom, Justin Hwang, Justin M. Drake. Characterizing the landscape of extracellular vesicles from prostate cancer cell lines [abstract]. In: Proceedings of the AACR Special Conference: Advances in Prostate Cancer Research; 2023 Mar 15-18; Denver, Colorado. Philadelphia (PA): AACR; Cancer Res 2023;83(11 Suppl):Abstract nr B047.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 10
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 11_Supplement ( 2023-06-02), p. B070-B070
    Abstract: Castration Resistant Prostate Cancer (CRPC) is a form of prostate cancer (PCa) that is resistant to androgen deprivation therapies. Resistance to these therapies leads to metastatic CRPC of adenocarcinoma (AD) origin and can transform to emergent aggressive variant prostate cancer (AVPC) which has genetic aberration features similar to neuroendocrine (NE) phenotypes. Understanding and identifying the underlying mechanisms of resistance and genetic transformations leading to protein alterations will enable us to develop novel therapeutic methods to counteract this resistance and improve outcomes for men with lethal metastatic prostate cancer. To this end, we used patient-derived xenografts (PDXs), an in-vivo clinically relevant model from advanced prostate cancer (PC) patients, to investigate the biology, identify novel protein targets and evaluate new treatment modalities. We aimed to identify known and novel protein kinase targets that might be phospho-regulated unique between CRPC, in AD and AVPC in NE. To pursue this, we applied a mass spectrometry base phosphoproteomics analysis. We processed 48 PDX samples, which included 15 non-castrated (NCR), 18 castration resistant (CR), which are the AD samples and 15 AVPC, the NE tumors. To enrich for global phosphorylated residues, we used sequential metal oxide affinity chromatography. We sequenced peptides from each sample using liquid chromatography in tandem with Orbitrap Eclipse Tribid MS and FAIMS technology for 2 hour gradients. To normalize and calibrate the LC method and to compare across all 48 runs, we spiked-in 400 femtomol of internal standards (iRT) to each sample. For peptide sequence and search analysis, we used Maxquant search algorithm. Using a & gt; 0.75 probability phospho-residue cut-off and 5% FDR, we identified more than 9,700 phospho-residues. We identified RET, ASCL1, CHGA and SYP in NEPC and Androgen Receptor (AR), FOXA1, HOXB13, NKX3.1 and TACSTD2 in the adenocarcinoma PDX LuCap tumor samples, which confirms that our approach detected specific proteins already previously established. We subsequently performed a kinase substrate enrichment analysis and identified GSK-3, ERK1, ERK2, CDK5 kinases to be significantly enriched in the NE tumors while ATM kinase and PKC alpha and beta were enriched in the AD PDX tumor samples. Hierarchical clustering analysis across NE versus AD tumor samples indicated that samples within each group clustered uniquely where we observed intra and inter sample variability. We generated pathway enrichment and GSEA analysis, identified novel targets for therapeutic treatments and novel surface proteins. In conclusion, we have performed a global mass spectrometry based proteomic analysis and created an important first global phosphoproteomics and proteomics database that provides insights into the differentially regulated protein and phosphoproteins between AD and NE PDX tumors and provide a protein database source to develop new hypothesis. Citation Format: Zoi E. Sychev, Gabbrianne E. Larson, Hannah E. Bergom, Abderrahman E. Day, Megan E. Ludwig, Atef E. Ali, Eva Corey, Stephen R. Plymate, Justin E. Hwang, Justin M. Drake. Global proteomics and phosphoproteomics profiling of prostate cancer patient derived xenografts tumors from the LuCaP series [abstract]. In: Proceedings of the AACR Special Conference: Advances in Prostate Cancer Research; 2023 Mar 15-18; Denver, Colorado. Philadelphia (PA): AACR; Cancer Res 2023;83(11 Suppl):Abstract nr B070.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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