Beltran, Himisha

5079 Background: Neoadjuvant CHT followed by RP did not increase 3-year biochemical progression free-survival (bPFS) compared to RP alone in men with CLHRPC. However, there is evidence that bPFS and overall survival over time was improved. In the current analysis we assessed whether CHT followed by RP improved pathological specimen features compared to RP alone. Methods: CALGB 90203 (Alliance) is a Phase III study which randomly assigned, in a 1:1 fashion, men with CLHRPC [biopsy Gleason Grade Group (GGG) 4 or 5 or Kattan pre-op nomogram bPFS < 60%] to RP alone or RP plus neoadjuvant CHT [androgen deprivation plus docetaxel (75 mg/m2 every 3 weeks for 6 cycles)]. We conducted an exploratory analysis comparing histologic findings, determined at the treating center, in the RP specimens of men receiving CHT plus RP and men treated with RP alone. We used the Chi-square test, with P-values adjusted by the Holm method for multiple comparisons. Results: A total of 788 men (median age, 62; range: 32-83 years) were randomized, with 738 ultimately undergoing RP. There was no difference in pathologic GGG (Table). Men treated with neoadjuvant CHT had a lower pathologic T-stage and lower likelihood of having seminal vesicle invasion (SVI), positive pelvic lymph nodes, or positive surgical margins (SM) (Table). Conclusions: Most pathologic features in the RP specimen were improved in men receiving neoadjuvant CHT compared to RP alone. The relationship between pathologic changes and the development of metastasis and survival require further analysis. RP pathologic outcomes. Summary statistics are calculated for the number of patients with non-missing data for each characteristic. Clinical trial information: NCT00430183. [Table: see text]

5008 Background: Androgen receptor (AR) signaling is an important growth mechanism in mCRPC, providing the rationale for treatment with AR axis inhibitors such as ENZ and AAP. Targeting AR with anti-androgens such as ENZ can result in compensatory autocrine and paracrine androgenic stimulation. Therefore, using ENZ with the androgen biosynthesis inhibitor AAP to dampen these resistance mechanisms could improve clinical outcomes relative to ENZ alone. Methods: Men with progressive mCRPC by Prostate Cancer Working Group 2 criteria were eligible. Prior treatment with taxanes for mCRPC and any prior treatment with ENZ or AAP was exclusionary. Patients (pts) were randomized 1:1 to ENZ or ENZ/AAP at standard FDA-approved doses. Randomization was stratified by prior chemotherapy and Halabi prognostic three risk groups. Castrating therapy was maintained. The primary endpoint was overall survival (OS) defined as the date of randomization from date of death or last follow-up. The log-rank test had 90% power to detect a hazard ratio for OS of 0.77 with a one-sided type I error rate of 0.025. Secondary endpoints included radiographic progression free survival (rPFS) and on-treatment PSA declines. Exploratory endpoints included imaging changes, and changes in serum biomarkers such as androgens, angiokines, and circulating microRNA and RNA. The primary analysis was based on the stratified log-rank test adjusting on the stratification factors. Results: Between January 2014 and August 2016, 1311 men were randomized: 657 to ENZ and 654 to ENZ/AAP. Groups were well balanced between arms, including stratification variables. 15.6% of pts were high risk, 35.3% intermediate, and 48.1% low. Median OS was 33.6 mo (95% CI 30.5-36.4) and 32.7 mo (29.9-35.4) respectively, two-sided p = 0.53. Fifty percent PSA decline rate was 80% vs. 76.5%. Grade 3-5 adverse events (AE) (all attributions) were 55.6% and 68.8% respectively. Treatment discontinuation due to AEs occurred in 5% and 12%, pt withdrawal in 5% and 13%, and progression or death in 57% and 48% of pts respectively. Conclusions: Addition of abiraterone acetate to enzalutamide did not prolong survival in men with mCRPC. The combination resulted in more AEs than enzalutamide alone. Support: U10CA180821, U10CA180882, U24CA196171; https://acknowledgments.alliancefound.org . Clinical trial information: NCT01949337.

Abstract Background: Inflammation is linked to prostate cancer progression and is mediated by NF-κB. Tristetraprolin is a key node of NF-κB activation and we investigated its biological and prognostic role in lethal prostate cancer. Methods: In vitro assays assessed the function of tristetraprolin and the association between low mRNA tristetraprolin levels and lethal prostate cancer (metastatic disease or death) was assessed across independent prostatectomy cohorts: (i) nested case-control studies from Health Professionals Follow-up Study and Physicians’ Health Study, and (ii) prostatectomy samples from Cleveland Clinic, Mayo Clinic, Johns Hopkins and Memorial Sloan Kettering Cancer Center. Tristetraprolin expression levels in prostatectomy samples from patients with localized disease and biopsies of metastatic castration–resistant prostate cancer (mCRPC) were assessed in a Cornell University cohort. Results: In vitro tristetraprolin expression was inversely associated with NF-κB–controlled genes, proliferation, and enzalutamide sensitivity. Men with localized prostate cancer and lower quartile of tumor tristetraprolin expression had a significant, nearly two-fold higher risk of lethal prostate cancer after adjusting for known clinical and histologic prognostic features (age, RP Gleason score, T-stage). Tristetraprolin expression was also significantly lower in mCRPC compared with localized prostate cancer. Conclusions: Lower levels of tristetraprolin in human prostate cancer prostatectomy tissue are associated with more aggressive prostate cancer and may serve as an actionable prognostic and predictive biomarker. Impact: There is a clear need for improved biomarkers to identify patients with localized prostate cancer in need of treatment intensification, such as adjuvant testosterone suppression, or treatment de-intensification, such as active surveillance. Tristetraprolin levels may serve as informative biomarkers in localized prostate cancer.

5062 Background: Inflammation has been linked to prostate cancer (PCa) progression which may be mediated by the transcription factor nuclear factor kappa B (NFκB). Using a bioinformatic screen focused on NFκB pathway activation in lethal PCa, we identified the tumor suppressor ZFP36 as a key node of the NFκB network. We also showed in vitro that ZFP36 expression was inversely associated with both NFκB-controlled gene levels and proliferation and sensitivity to enzalutamide. We examined the role of ZFP36 and PCa progression in patient cohorts. Methods: The association between low mRNA expression of ZFP36 (levels in the lower quartile) and lethal PCa (defined as metastatic disease or death) was assessed with logistic regression among men with localized PCa in two independent cohorts treated with radical prostatectomy (RP). The discovery cohort was RP samples from Health Professional Follow-up Study and Physicians Health Study and the validation cohort was RP samples from Cleveland Clinic, Mayo Clinic, Johns Hopkins and MSKCC. In a third cohort from Cornell University, ZFP36 expression levels were assessed in RP samples from patients with localized PCa and biopsies of metastatic castration resistant prostate cancer (mCRPC). Results: Table 1 shows men with localized PCa and lower quartile of tumor ZFP36 expression had a nearly 2-fold higher risk of lethal PCa after adjusting for known clinical and histological prognostic features (age, RP Gleason score, T-stage); an association confirmed in the validation cohort. ZFP36 gene expression was also significantly lower in mCRPC (n=53) compared with a localized RP cohort (n=68) (p-value <0.0001). Conclusions: In humans lower ZFP36 in RP specimens is associated with clinically significant risk of lethal PCa after treatment with curative intent and lower ZFP36levels are found in metastatic tissue. [Table: see text]

Abstract Background: Potent targeting of the androgen receptor (AR) in castration-resistant prostate cancer has altered the archetypal course of the disease, fueling the emergence of aggressive and incurable neuroendocrine prostate cancer (NEPC). Recent evidence suggests that these tumors can arise from non-neuroendocrine cells in response to AR pathway inhibitors (ARPIs), such as enzalutamide (ENZ), an observation consistent with lineage plasticity. What regulates this plasticity that allows cells to shed their dependence on the AR and re-emerge as “AR-indifferent” NEPC? Sequencing studies have uncovered that the evolution toward a NEPC phenotype is aligned with dynamic epigenetic reprogramming, but the molecular basis underlying this phenomenon remains poorly understood. Methods: We developed an in vivo model of acquired ENZ resistance to (a) identify reprogramming factors that facilitate lineage plasticity, and (b) determine how to best capitalize on therapeutic strategies aimed at blocking or reversing lineage transformation. Cell lines derived from ENZ-resistant tumors were profiled by RNA-seq and ChIP-seq, and functionally assessed for stem cell-associated properties. Our findings were validated across NEPC cell lines (NCI-H660), genetically engineered mouse models (PBCre4:Ptenf/f:Rb1f/f), and patient tumors and organoids. CRISPR/Cas9-mediated genomic editing allowed us to assess the effect of knocking out reprogramming factors on therapy-induced neuroendocrine transdifferentiation. Results: AR-indifferent ENZ-resistant tumors were enriched for a Polycomb/EZH2 signature; in particular, we identified EZH2 to be phosphorylated at threonine-350 (pEZH2-T350) by CDK1 in NEPC cell lines, mouse models, and patient tumors. Accordingly, RB1 loss was sufficient to enhance pEZH2-T350, which was required for prostate cancer cells to convert to a metastable stem-like state and, in turn, acquire neuroendocrine features under the pressure of ARPIs both in vitro and in patient-derived xenografts. This therapy-induced NEPC transdifferentation was associated with a marked redistribution of EZH2 and H3K27me3, specifically to a core set of genes governing lineage identity. AR colocalized at the reprogrammed EZH2 binding sites, and was found to be part of the same complex with EZH2. Treating AR-indifferent/NEPC cell lines with clinically relevant EZH2 inhibitors reversed the lineage switch and mitigated ENZ resistance. Conclusions: This research establishes the centrality of epigenetic reprogramming in driving the insurgence of a neuroendocrine phenotype in response to ARPIs, and posits that drugging the epigenome via EZH2 inhibition may reverse or delay lineage transformation to extend the durability of clinically beneficial ARPIs. Citation Format: Alastair H. Davies, Chiara Bostock, Musaddeque Ahmed, Yen-Yi Lin, Fraser Johnson, Ka Mun Nip, Kirsi Ketola, Jennifer Bishop, Ladan Fazli, Haojie Huang, David Goodrich, Faraz Hach, Hansen He, Himisha Beltran, Amina Zoubeidi. Identity fraud: Lineage plasticity as a mechanism of anti-androgen resistance and target for therapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4995.

Abstract Background Treatment-induced neuroendocrine prostate cancer (tNEPC) is an aggressive variant of late-stage metastatic castrate-resistant prostate cancer that commonly arises through neuroendocrine transdifferentiation (NEtD). Treatment options are limited, ineffective, and, for most patients, result in death in less than a year. We previously developed a first-in-field patient-derived xenograft (PDX) model of NEtD. Longitudinal deep transcriptome profiling of this model enabled monitoring of dynamic transcriptional changes during NEtD and in the context of androgen deprivation. Long non-coding RNA (lncRNA) are implicated in cancer where they can control gene regulation. Until now, the expression of lncRNAs during NEtD and their clinical associations were unexplored. Results We implemented a next-generation sequence analysis pipeline that can detect transcripts at low expression levels and built a genome-wide catalogue (n = 37,749) of lncRNAs. We applied this pipeline to 927 clinical samples and our high-fidelity NEtD model LTL331 and identified 821 lncRNAs in NEPC. Among these are 122 lncRNAs that robustly distinguish NEPC from prostate adenocarcinoma (AD) patient tumours. The highest expressed lncRNAs within this signature are H19, LINC00617, and SSTR5-AS1. Another 742 are associated with the NEtD process and fall into four distinct patterns of expression (NEtD lncRNA Class I, II, III, and IV) in our PDX model and clinical samples. Each class has significant (z-scores &gt;2) and unique enrichment for transcription factor binding site (TFBS) motifs in their sequences. Enriched TFBS include (1) TP53 and BRN1 in Class I, (2) ELF5, SPIC, and HOXD1 in Class II, (3) SPDEF in Class III, (4) HSF1 and FOXA1 in Class IV, and (5) TWIST1 when merging Class III with IV. Common TFBS in all NEtD lncRNA were also identified and include E2F, REST, PAX5, PAX9, and STAF. Interrogation of the top deregulated candidates (n = 100) in radical prostatectomy adenocarcinoma samples with long-term follow-up (median 18 years) revealed significant clinicopathological associations. Specifically, we identified 25 that are associated with rapid metastasis following androgen deprivation therapy (ADT). Two of these lncRNAs (SSTR5-AS1 and LINC00514) stratified patients undergoing ADT based on patient outcome. Discussion To date, a comprehensive characterization of the dynamic landscape of lncRNAs during the NEtD process has not been performed. A temporal analysis of the PDX-based NEtD model has for the first time provided this dynamic landscape. TFBS analysis identified NEPC-related TF motifs present within the NEtD lncRNA sequences, suggesting functional roles for these lncRNAs in NEPC pathogenesis. Furthermore, select NEtD lncRNAs appear to be associated with metastasis and patients receiving ADT. Treatment-related metastasis is a clinical consequence of NEPC tumours. Top candidate lncRNAs FENDRR, H19, LINC00514, LINC00617, and SSTR5-AS1 identified in this study are implicated in the development of NEPC. We present here for the first time a genome-wide catalogue of NEtD lncRNAs that characterize the transdifferentiation process and a robust NEPC lncRNA patient expression signature. To accomplish this, we carried out the largest integrative study that applied a PDX NEtD model to clinical samples. These NEtD and NEPC lncRNAs are strong candidates for clinical biomarkers and therapeutic targets and warrant further investigation.

Abstract Expression of DLL3 was examined in additional tumor types, as it was found to be highly expressed in tumor-initiating cells (TIC) in small cell lung cancer (SCLC), where a DLL3-targeted antibody drug conjugate (ADC), rovalpituzumab tesirine (Rova-T; SC16LD6.5; Saunders et al. 2015 Sci Transl Med 7:302ra136)) exerted clinically meaningful anti-tumor effects in a phase I trial (Spigel et al. 2016 Lancet Oncology; In Press). DLL3 expression was profiled by qRT-PCR, ELISA and immunohistochemistry in multiple tumor types. Patient-derived xenografts (PDX) from melanoma and ovarian small cell carcinoma were established and used for efficacy studies to determine the ability of Rova-T to impact tumor growth and TIC frequency. DLL3 expression was seen in metastatic melanoma (55%), low grade gliomas (90%), glioblastoma (70%), medullary thyroid cancer (65%), carcinoids (33%), dispersed neuroendocrine tumors in the pancreas (9%), bladder (57%) and prostate (24%), testicular cancer (90%), and lung adenocarcinomas with neuroendocrine features (80%). Unlike SCLC, where DLL3 does not predict clinical outcome on standard therapies, DLL3 expression negatively correlates with overall survival in melanoma and small cell bladder cancer. In mice bearing DLL3 positive melanoma PDX, treatment with a single dose of Rova-T resulted in effective and durable responses (&gt;100 days), which correlated with a significant impact on TIC frequency. Similarly, in mice bearing DLL3-positive ovarian small cell PDX, a single dose of Rova-T resulted in effective and durable responses (&gt;100 days). Our results show that DLL3 is expressed in many neuroendocrine tumors (lung, ovarian, prostate, bladder, etc), metastatic melanoma, medullary thyroid cancer, low-grade gliomas and glioblastoma. Given pre-clinical results showing efficacy of Rova-T in melanoma and ovarian small cell carcinoma, as well as encouraging clinical data with Rova-T in patients with recurrent/refractory SCLC, clinical evaluation of Rova-T in DLL3-positive melanoma, glioblastoma, medullary thyroid cancer and other high-grade neuroendocrine carcinomas is warranted. A “basket” trial enrolling patients with DLL3-positive solid tumors is now recruiting patients (NCT02709889). Citation Format: Laura R. Saunders, Samuel A. Williams, Sheila Bheddah, Kumiko Isse, Sarah Fong, Marybeth A. Pysz, Himisha Beltran, Loredana Puca, Verena Sailer, Juan M. Mosquera, Yu Yin, Jiaoti Huang, Andrew J. Armstrong, Jorge Garcia, Cristina Magi-Galluzzi, Vadim Koshkin, Petros Grivas, Farhad Kosari, John Cheville, Justin C. Moser, Thomas J. Flotte, Thorvardur Halfdanarson, Aaron Mansfield, Konstantinos N. Leventakos, Julian R. Molina, Douglas W. Ball, Barry D. Nelkin, Jill E. Shea, Courtney L. Scaife, Scott J. Dylla. Expression of DLL3 in metastatic melanoma, glioblastoma and high-grade extrapulmonary neuroendocrine carcinomas as potential indications for rovalpituzumab tesirine (Rova-T; SC16LD6.5), a delta-like protein 3 (DLL3)-targeted antibody drug conjugate (ADC) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3093. doi:10.1158/1538-7445.AM2017-3093