Bryce, Alan H.

353 Background: One mechanism leading to castrate-resistant prostate cancer (CRPC) is upregulation of CYP17. Abiraterone acetate (AA) inhibits CYP17 and continuous AA administration (CAAA) is one the most common and effective CRPC treatments. Mathematical models can be potentially powerful clinical tools for optimizing treatment strategies and eliminating guess work. Here, we introduce a new model which builds on our previous work (Morken JD, Packer A, Everett RA, Nagy JD, Kuang Y. Mechanisms of resistance to intermittent androgen deprivation therapy identified in prostate cancer patients by novel computational method. Cancer Res 2014;74:2673-83.) and may be capable of predicting how patients will respond to CAAA and intermittent AA administration (IAAA). We are currently proposing a personalized IAAA protocol on the basis of these results. Methods: In this ongoing retrospective study, we use PSA data from patients whom underwent CAAA to validate the accuracy of our model of tumor growth and evolution. The PSA output is driven by dynamics of three cell populations—castration-sensitive (CS), castration-resistant abiraterone-sensitive (CSAS), and castration-sensitive abiraterone-resistant (CSAR) cells. We fit the model output to PSA data to find parameter values which minimize normalized mean squared error (NMSE). Once parameters are obtained, we ran simulations employing various IAAA protocols. Results: The model’s PSA dynamics are highly accurate. NMSE is very low across patients ranging from 0.0001-0.0085. Conclusions: Our results suggest that there exists an IAAA protocol for each patient that, at worst, yields the same time to tumor progression as CAAA, yet improves quality of life and reduces cost. In nearly 20% of patients, IAAA appears to delay tumor progression over CAAA. The model is accurate at predicting how patients will respond to CAAA and IAAA for patients whose PSA is regularly monitored. Near-future work aims to personalize IAAA protocol based on patient pre CRPC PSA dynamics and to identify a protocol which delays progression for most patients.

237 Background: AA/P is an approved treatment for mCRPC but there are no known predictive markers of response or resistance. We conducted a prospective trial to evaluate if Androgen Receptor (AR) & AR-variant (ARV) expression in tissue metastases can predict resistance to AA/P. Methods: mCRPC stage patients (pts) initiating pre-chemo AA/P underwent metastatic site biopsies prior to (pre-AA/P) and after 12 weeks of treatment. Composite progression at 12 weeks, (primary endpoint) was evaluated with PSA, RECIST, bone scan and symptoms (per PCWG2). mRNA expressions of pre-AA/P ARFL, ARV3, ARV7, ARV9, ARV23, ARV45, four cell cycle division genes, Chromogranin-A (CHGA) together with PSA/testosterone levels, Gleason Score (GS) at initial diagnosis; high versus low volume disease; time from starting hormone therapy to mCRPC stage and serum CHGA levels were evaluated using a logistic regression model for predicting resistance at 12 weeks of therapy. A final multivariate model fitted only those factors thought to be clinically relevant or with an entry threshold of p ≤ 0.3 in univariate analysis. Results: Between 6/2013 & 3/2015, 82 pts were enrolled of which 52 had complete mRNA expression & disease assessment data at the12-week time point for analysis. Median age of the cohort was 72.5 yrs (IQR: 68.5-78); median pre-AA/P PSA was 18 ng/ml (IQR: 8.1- 46.6); GS distribution at initial diagnosis for GS 2-6; 7; 8-10 was 11; 14; 27 respectively. Progression was observed in 21/52 pts after 12 weeks. At the univariate level elevated pre-AA/P expression of ARV3 (p = 0.08), ARV7 (p = 0.26), ARV9 (p = 0.04), and cell division cycle gene CDC45 (p = 0.19) along with GS at diagnosis (p = 0.29) met the threshold for inclusion into multivariate analysis. Elevated expression of pre-therapy ARV9 in metastases alone was associated with progression at 12 weeks (OR: 3.9; CI 1.07 – 14.16; C-Index: 0.63). The 12-week biopsy of pts with progression had increased ARV9 mRNA expression compared to pts responding at 12 weeks (p = 0.14). Conclusions: Increased ARV9 mRNA expression in metastases is associated with early resistance to AA/P. This observation will need further validation in comparable datasets. Clinical trial information: NCT #0195364.

202 Background: Cabazitaxel and prednisone (Cbz/pred) extend survival in mCRPC patients (pts) following docetaxel and first-line studies comparing Cbz to docetaxel are ongoing. Mito/pred also has anti-tumor activity in mCRPC and a non-overlapping mechanism of action and toxicity profile with Cbz. A multicenter phase 1 trial was initiated to establish the maximally tolerated dose (MTD) and recommended phase 2 dose (RP2D) of the combination of Cbz, Mito, and Pred(CAMP). Methods: Chemotherapy (chemo)-naive pts with mCRPC were enrolled in an accelerated titration design. The primary objective was to determine the MTD and RP2D of CAMP; secondary objectives included PSA response rate and duration of response. Cbz 20 and 25 mg/m2 were evaluated in combination with escalating doses of Mito (starting dose 4 mg/m2), both administered on day 1 of a 21-day cycle. Pred 5 mg BID and pegfilgrastim were given with each cycle. Results: 23 pts were enrolled. The median age was 66 (range 51-78) and the median baseline PSA was 62.5 (range 3-791.2). There were 2 DLTs (sepsis and febrile neutropenia) observed at the dose level of Cbz 25 mg/m2 + Mito 10 mg/m2 (n = 4). There was 1 DLT (febrile neutropenia) observed with Cbz 20 mg/m2 (N = 12), establishing Cbz 20 mg/m2 + Mito 12 mg/m2 as the MTD and RP2D. The most common grade ³ 3 related adverse events were hematologic (neutropenia, n = 9; thrombocytopenia, n = 3; febrile neutropenia, n = 3). The median number of treatment cycles was 7.5 (range 2-16), and 2 pts remain on study. Greater than or equal to 50% maximal PSA declines from baseline were observed in 12 of 19 evaluable pts(63%). The median duration of response has not been reached (range 4.9-10.0+ months). Conclusions: The approved single-agent dose of Mito (12 mg/m2) was safely combined with Cbz 20 mg/m2, a dose with demonstrated activity in mCRPC and potentially less hematologic toxicity than 25 mg/m2. Preliminary efficacy data are encouraging with durable control of disease observed in a subset of pts. Further study of the treatment combination is warranted. Clinical trial information: NCT01594918.

AbstractConstitutively‐active ligand‐independent splice variants of the androgen receptor are an adaptive response by prostate cancer cells to escape androgen deprivation therapy and novel androgen receptor‐directed treatments. Androgen receptor splice variant 7 is the most common splice variant detected in clinical biospecimens, and emerging data now suggest that the presence of tumoral androgen receptor splice variant 7 might be indicative of primary and acquired resistance to next‐generation androgen pathway inhibitors, such as abiraterone and enzalutamide. At the same time, taxane chemotherapy might retain its efficacy regardless of androgen receptor splice variant 7 status, thus suggesting the potential for a predictive biomarker guiding treatment selection in men with metastatic castration‐resistant prostate cancer. Herein, we review the preclinical data elucidating the structure and function of androgen receptor splice variant 7, we describe the existing clinical data using this biomarker in metastatic castration‐resistant prostate cancer, and we highlight potential therapeutic strategies to target androgen receptor splice variant 7‐expressing prostate cancer.

Abstract Monoclonal antibodies that target the programmed death-1 (PD-1)–programmed death ligand-1 (PD-L1) axis have antitumor activity against multiple cancers. The presence of sarcomatoid differentiation in renal cell carcinoma (RCC) is associated with resistance to targeted therapy and poor responses to IL2 immunotherapy. Given the aggressive nature of RCC with sarcomatoid differentiation and the exclusion of sarcomatoid histology from metastatic RCC clinical trials, less is understood regarding selection of therapies. Here, we characterized the PD-1/PD-L1 axis in RCC with sarcomatoid differentiation. We directly compared two PD-L1 antibodies and found concordance of PD-L1 positivity in 89% of tested RCCs with sarcomatoid differentiation. Coexpression of PD-L1 on neoplastic cells and the presence of PD-1–positive tumor-infiltrating lymphocytes were identified in 50% (13 of 26) of RCCs with sarcomatoid differentiation. In contrast, only 1 of 29 clear cell RCCs (3%) had concurrent expression of PD-L1 and PD-1 (P = 0.002). Our study suggests that RCC with sarcomatoid differentiation may express PD-1/PD-L1 at a higher percentage than RCC without sarcomatoid differentiation, and patients with these tumors may be good candidates for treatment with anti–PD-1/PD-L1 therapies. Cancer Immunol Res; 3(12); 1303–7. ©2015 AACR.

Abstract Background: Genomic assessment of cancer has been revolutionized by Next-Generation sequencing and is increasingly being applied to guide clinical prognostic and therapeutic decision-making. Initial clinical applications have been limited to gene panels and whole exome based strategies due to challenges with time to reporting of results, specimen quantity, analyte quality, and ethical-legal-social issues (ELSI). Methods: Excisional or core tumor biopsies or bone marrow biopsies were obtained from consenting participants. Nucleic acid was extracted from fresh or frozen samples followed by WGS/WES/RNASeq on the Illumina HiSeq2000 or HiSeq2500 and bioinformatics analysis. Therapeutic targets were then prioritized by a multi-disciplinary Genomic Tumor Board (GTB) and CLIA validated using Sanger sequencing, RT-qPCR, FISH and/or IHC. Treatment was delivered using on/off-label FDA approved drugs, available clinical trials and single patient INDs. Results: We consented 64 and enrolled 35 patients with advanced, treatment-refractory cancers. Median age was 59 (range 27-91) with 62% male. The majority had ECOG scores of 1 (94%). A median of 79 (range 28-8891) potentially functional somatic point mutations were identified in each case. One to two mutations/case were further identified as therapeutically targetable in 60% of the cases. The median time from tissue acquisition to CLIA validated results was 116 days (range 42-282) with CLIA validation of targets achieved in 21 of 22 patients. Genomic, target directed treatment was ultimately instituted in 13 patients utilizing: on/off label FDA approved drugs (n = 9), clinical trial (n = 3) and single patient IND (n = 1). Preliminary clinical efficacy was noted in 5 patients (2 PR, 3 SD). Integration of WES, long-insert WGS and RNA-Seq identified a case with an ERRFI1 mutant allele present in only 11% of the DNA reads while 82% of the RNA-Seq reads had the mutant transcript. The patient was treated with erlotinib and achieved a partial response by RECIST criteria. In another case, a fusion between FGFR2-MGEA5 was observed in WES and RNA-Seq data leading to prioritization as a drug target. Reasons for patients not receiving targeted therapy included: inability to access treatment (n = 1), death prior to intended treatment (n = 3), results returned after death (n = 3), no targets identified (n = 2) and decision to pursue alternate therapy (n = 5). Conclusions: Integrating whole genome analysis in a CLIA setting is not only feasible, but also valuable, in the prioritization and selection of potential targeted therapies for patients with advanced tumors. Continued barriers to broad application include the need for shorter time to reporting as well as broad availability of therapies through basket studies. Citation Format: Mitesh J. Borad, Jan Egan, Mia Champion, Katherine Hunt, Robert McWilliams, Ann McCullough, Jessica Aldrich, Sara Nasser, Winnie Liang, Michael Barrett, David Craig, Ramesh Ramanathan, John Carpten, A. Keith Stewart, Alan Bryce. Implementation of CLIA enabled integrated whole genome (WGS)/exome (WES)/transcriptome (RNAseq) next-gen sequencing to identify therapeutically relevant targets in advanced cancer patients. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr CT112. doi:10.1158/1538-7445.AM2015-CT112

Abstract Targeted therapies and immunotherapies have led to significant improvements in the treatment of advanced cancers, including metastatic melanoma. However, new strategies are desperately needed to overcome therapeutic resistance to these agents, as well as to identify effective treatment approaches for cancer patients that fall outside major targetable mutational subtypes (e.g., non–V600 BRAF melanoma). One such strategy is to extend the paradigm of individually tailored, molecularly targeted therapy into a broader spectrum of melanoma patients, particularly those bearing tumors without commonly recognized therapeutic targets, as well as having failed or were ineligible for immunotherapy. In this nontreatment pilot study, next-generation sequencing (NGS) technologies were utilized, including whole genome and whole transcriptome sequencing, to identify molecular aberrations in patients with non–V600 BRAF metastatic melanoma. This information was then rationally matched to an appropriate clinical treatment from a defined pharmacopeia. Five patients with advanced non–V600 BRAF metastatic melanoma were enrolled. We demonstrated successful performance of the following during a clinically relevant time period: patient tumor biopsy, quality DNA/RNA extraction, DNA/RNA-based sequencing for gene expression analysis, analysis utilizing a series of data integration methodologies, report generation, and tumor board review with formulated treatment plan. Streamlining measures were conducted based on the experiences of enrolling, collecting specimens, and analyzing the molecular signatures of patients. We demonstrated the feasibility of using NGS to identify molecular aberrations and generate an individualized treatment plan in this patient population. A randomized treatment study utilizing lessons learned from the conduct of this pilot study is currently underway. Mol Cancer Ther; 14(8); 1962–71. ©2015 AACR.

Abstract Background: Whole genome/exome/RNA sequencing has revolutionized the ability to assess the genomic landscape of cancer and is increasingly being utilized for clinical decision-making. Initial clinical applications have been constrained by specimen quantity, analyte quality and the time from sample acquisition to results report. Methods: Patients with advanced cancers underwent surgical resection, excisional/core biopsies, or bone marrow biopsy. Samples were analyzed by whole genome or exome sequencing in addition to RNA sequencing, bioinformatics analysis, and therapeutic target prioritization by a multi-disciplinary Clinical Genomics Board. All prioritized targets were CLIA validated using Sanger sequencing, RT-qPCR, FISH, or IHC as appropriate. Treatment was delivered using off-label FDA approved drugs, clinical trials, or single patient INDs. Results: We have enrolled 40 patients for whom sequencing data is available on 33. The initial 6 patients were evaluated in a non-CLIA pilot phase and 27 in a CLIA-enabled phase. Tumor types in the CLIA-enabled phase with the highest enrollment were pancreatic cancer (n=8) and cholangiocarcinoma (n=8). We sought to quantify the targets identified along with clinical benefit, defining these as the “Actionable Index” (AI) (proportion of patients with ≥ 1 putative drug target) and “Utility Index” (UI) (proportion of patients who derive clinical benefit). Putative therapeutic targets were identified in 7/8 (AI=0.88) cholangiocarcinoma (CC) patients and in 5/8 (AI=0.63) pancreatic cancer (PC) patients. All 3 CC patients who received target directed treatment achieved a partial response (UI=0.38). In contrast, none of the 4 PC patients who received target directed therapy had treatment response (UI=0.0). Interestingly no actionable targets were identified in 1 CC and in 2 PCs. One CC with an identified target was unable to access the drug and subsequently died. A CC patient and a PC patient, each with identified targets, expired prior to the initiation of therapy. Conclusions: While whole genome/exome/RNA sequencing is providing unparalleled detail of tumor genomes, the application to the clinic must be carefully considered. Actionability of targets will eventually need to be defined in close relation to eventual clinical utility and appropriate refinements to disease-gene-drug databases implemented. Preliminary observations in pancreatic cancer and cholangiocarcinoma demonstrate disparity in correlation between utility indices and actionable indices. Application of these tools in larger cohorts and types of tumors will need to be conducted to ascertain more precise estimates. Additional measures that are organ-site agnostic but pertain to specific targets (e.g. BRAF) will also need to be developed in order to facilitate more judicious application of sequencing in the clinical setting. Citation Format: Jan B. Egan, Alan H. Bryce, Mia D. Champion, Winnie S. Liang, Rafael Fonseca, Ann E. McCullough, Michael T. Barrett, Katherine Hunt, Rachel M. Condjella, Robert R. McWilliams, Stephen D. Mastrian, Janine LoBello, Daniel Von Hoff, David W. Craig, A. Keith Stewart, John D. Carpten, Mitesh J. Borad. Indices of actionability and clinical utility in a CLIA-enabled study of whole genome/exome/RNA sequencing in 33 cancer patients: Actionable vs. utility. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4694. doi:10.1158/1538-7445.AM2014-4694