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Tremelimumab, an anti‐cytotoxic T‐lymphocyte antigen‐4 monoclonal antibody that enhances T‐cell activation, was evaluated in a randomized, double‐blind, placebo‐controlled, phase IIb study (NCT01843374) in patients with unresectable malignant mesothelioma. The study demonstrated no clinically meaningful differences in overall survival (OS). The objective of this analysis was to evaluate the relationship of exposure with OS. A population pharmacokinetic (PK) model adequately described the PK data. Three factors (sex, C‐reactive protein, and baseline tumor size) were identified as statistically significant PK predictors (P

Durvalumab is an anti-PD-L1 monoclonal antibody approved for patients with locally advanced or metastatic urothelial carcinoma (UC) that has progressed after platinum-containing chemotherapy. A population tumor kinetic model, coupled with dropout and survival models, was developed to describe longitudinal tumor size data and predict overall survival in UC patients treated with durvalumab (NCT01693562) and to identify prognostic and predictive biomarkers of clinical outcomes. Model-based covariate analysis identified liver metastasis as the most influential factor for tumor growth and immune-cell PD-L1 expression and baseline tumor burden as predictive factors for tumor killing. Tumor or immune-cell PD-L1 expression, liver metastasis, baseline hemoglobin, and albumin levels were identified as significant covariates for overall survival. These model simulations provided further insights into the impact of PD-L1 cutoff values on treatment outcomes. The modeling framework can be a useful tool to guide patient selection and enrichment strategies for immunotherapies across various cancer indications.

Immunotherapy and immune checkpoint blocking antibodies such as anti-PD-1 are approved and significantly improve the survival of advanced non-small cell lung cancer (NSCLC) patients, but there has been little success in identifying biomarkers capable of separating the responders from non-responders before the onset of the therapy. In this study, we developed a quantitative system pharmacology (QSP) model to represent the anti-tumor immune response in human NSCLC that integrated our knowledge of tumor growth, antigen processing and presentation, T cell activation and distribution, antibody pharmacokinetics, and immune checkpoint dynamics. The model was calibrated with the available data and was used to identify potential biomarkers as well as patient-specific response based on the patient parameters. The model predicted that in addition to tumor mutational burden (TMB), a known biomarker for anti-PD-1 therapy in NSCLC, the number of effector T cells and regulatory T cells in the tumor and blood is a predictor of the responders. Furthermore, the model simulated a set of 12 patients with known TMB and MHC/antigen-binding affinity from a recent clinical trial (ClinicalTrials.gov number, NCT02259621) on neoadjuvant nivolumab therapy in resectable lung cancer and predicted an augmented durable response in patients with adjuvant nivolumab treatment in addition to the clinical trial protocol of neoadjuvant nivolumab treatment followed by resection. Overall, the model provides a valuable framework to model tumor immunity and response to immune checkpoint blockers to enhance biomarker discovery and performing virtual clinical trials to aid in design and interpretation of the current trials with fewer patients. Electronic supplementary material The online version of this article (10.1208/s12248-019-0350-x) contains supplementary material, which is available to authorized users.

The low response rate of immune checkpoint blockade in breast cancer has highlighted the need for predictive biomarkers to identify responders. While a number of clinical trials are ongoing, testing all possible combinations is not feasible. In this study, a quantitative systems pharmacology model is built to integrate immune–cancer cell interactions in patients with breast cancer, including central, peripheral, tumour-draining lymph node (TDLN) and tumour compartments. The model can describe the immune suppression and evasion in both TDLN and the tumour microenvironment due to checkpoint expression, and mimic the tumour response to checkpoint blockade therapy. We investigate the relationship between the tumour response to checkpoint blockade therapy and composite tumour burden, PD-L1 expression and antigen intensity, including their individual and combined effects on the immune system, using model-based simulations. The proposed model demonstrates the potential to make predictions of tumour response of individual patients given sufficient clinical measurements, and provides a platform that can be further adapted to other types of immunotherapy and their combination with molecular-targeted therapies. The patient predictions demonstrate how this systems pharmacology model can be used to individualize immunotherapy treatments. When appropriately validated, these approaches may contribute to optimization of breast cancer treatment.

Over the past decade, several immunotherapies have been approved for the treatment of melanoma. The most prominent of these are the immune checkpoint inhibitors, which are antibodies that block the inhibitory effects on the immune system by checkpoint receptors, such as CTLA-4, PD-1 and PD-L1. Preclinically, blocking these receptors has led to increased activation and proliferation of effector cells following stimulation and antigen recognition, and subsequently, more effective elimination of cancer cells. Translation from preclinical to clinical outcomes in solid tumors has shown the existence of a wide diversity of individual patient responses, linked to several patient-specific parameters. We developed a quantitative systems pharmacology (QSP) model that looks at the mentioned checkpoint blockade therapies administered as mono-, combo- and sequential therapies, to show how different combinations of specific patient parameters defined within physiological ranges distinguish different types of virtual patient responders to these therapies for melanoma. Further validation by fitting and subsequent simulations of virtual clinical trials mimicking actual patient trials demonstrated that the model can capture a wide variety of tumor dynamics that are observed in the clinic and can predict median clinical responses. Our aim here is to present a QSP model for combination immunotherapy specific to melanoma.

Introduction Two clinical studies (Study 1108 and ATLANTIC) were analyzed to evaluate the prognostic value of baseline liver metastases (LMs) in advanced/metastatic non–small-cell lung cancer patients treated with durvalumab 10 mg/kg every 2 weeks. Patients and Methods A multivariate Cox proportional hazards analysis was conducted; covariates included performance status, tumor stage, histology, sex, age, smoking status, and programmed cell death ligand 1 (PD-L1) status. Results In all, 569 patients were included. LMs were present in 31.6% (96/304) of Study 1108 patients and 17.9% (47/263) of ATLANTIC patients. Median overall survival (OS) was shorter in patients with LMs than in those without in both studies. In both studies, LMs were an independent negative prognostic factor for OS and progression-free survival. Objective response rates were also significantly lower. PD-L1 independently predicted benefit across all patients. Conclusion Liver metastases were associated with worse outcomes irrespective of PD-L1 status, but PD-L1 status predicted benefit from durvalumab irrespective of LMs.

INTRODUCTION: Durvalumab is a selective, high-affinity human immunoglobulin G1 monoclonal antibody that blocks programmed cell death ligand 1 (PD-L1) binding to programmed death 1. Here we report safety and clinical activity in the NSCLC cohort of a phase I/II trial that included multiple tumor types (Study 1108; NCT01693562). METHODS: Patients with stage IIIB-IV NSCLC (squamous or nonsquamous) received durvalumab 10 mg/kg every 2 weeks for 12 months or until confirmed progressive disease or unacceptable toxicity. Primary objectives were safety and antitumor activity. Tumoral PD-L1 expression was assessed using the VENTANA SP263 Assay. Responses were assessed by blinded independent central review (Response Evaluation Criteria in Solid Tumors v1.1). Adverse events were graded according to National Cancer Institute's Common Terminology Criteria for Adverse Events (v4.03). RESULTS: Of 304 patients, 79.0% were previously treated. Confirmed objective response rate was 21.8% in patients with greater than or equal to 25% PD-L1 expression and 6.4% in those with less than 25%; 25.9% in first-line patients and 12.7% in previously treated patients; and 14.0% in squamous and 16.7% in nonsquamous disease. Median overall survival was 12.4 months and median progression-free survival was 1.7 months; both were numerically longer in the PD-L1 greater than or equal to 25% group than in the PD-L1 less than 25% group (overall survival 16.4 versus 7.6 months, respectively; progression-free survival 2.6 versus 1.4 months, respectively). Treatment-related adverse events occurred in 57.2%, were grade 3/4 in 10.2%, and led to discontinuation in 5.6%. One patient (0.3%) died of treatment-related pneumonia with underlying pneumonitis. CONCLUSIONS: Durvalumab was clinically active irrespective of histology in this mostly pretreated population, with a manageable safety profile. Response rates and survival appeared to be enhanced in patients with greater tumoral PD-L1 expression. ispartof: JOURNAL OF THORACIC ONCOLOGY vol:14 issue:10 pages:1794-1806 ispartof: location:United States status: published

313 Background: In a phase II study in uHCC (Study 22, NCT02519348), a novel, priming combination regimen of tremelimumab (T; anti-CTLA-4) and durvalumab (D; anti-PD-L1) (T300+D) has shown favorable clinical activity vs each agent as monotherapy or vs another combination (T75+D). The analyses presented here assess the pharmacokinetics (PK) and relationships between tremelimumab exposure, as monotherapy or in combination, and safety, efficacy, and pharmacodynamics (PD) in this study. Methods: Overall, 216 pts were included in these analyses (T, n=65; T300+D, n=72; T75+D, n=79). Safety, antitumor activity, PK, PD, and immunogenicity were analyzed using standard pharmacometrics methods. A previously developed population PK model for T across solid tumors was validated using T monotherapy and combination therapy data from Study 22, including a post-hoc covariate analysis to assess the impact of covariates on individual PK parameters. Population PK and PD models related individual T exposures to safety parameters, PD, and efficacy (overall survival, OS; progression-free survival, PFS; and objective response rate, ORR). The E-R relationships for time-to-event variables OS and PFS were explored by Kaplan-Meier estimates and analyzed by Cox proportional-hazards models (CPHM). Results: For T monotherapy and T+D combinations, no significant E-S relationships were observed for grade 3/4 treatment-related adverse events (TRAEs), grade 3/4 TRAEs of special interest, and AEs leading to treatment discontinuation. Analyses of each quartile of T exposure suggest pts with higher exposure (3rd and 4th quartile) may have longer OS vs lower quartiles. The CPHManalysis showed that after accounting for prognostic factors (baseline albumin and neutrophil-to-lymphocyte ratio), neither AUC nor Cmin appeared to be a significant factor for OS hazard. There was no significant relationship between response and ORR, PFS and any T PK exposure metric in T-treated pts. Saturable relationships (described by Emax) were observed for maximum change from baseline for proliferating T-cell counts as functions of exposure. Conclusions: The observed PK data are generally consistent with predictions based on a historical population PK model, suggesting the PK of T in uHCC pts is consistent with pts with other solid tumors. No significant relationships were observed between E-S and E-R; therefore, PK is not a significant predictor to evaluate for T efficacy or safety. Considering the small sample size limitation, still the saturable relationships observed in proliferating T-cells appear to support a dose of T300. Future studies of pooled data from Study 22 and the larger phase III HIMALAYA study (NCT03298451) will be conducted to further the characterization of E-R relationships and the development of the T300+D regimen. Clinical trial information: NCT02519348.

6549 Background: Optimal patient selection for immunotherapy remains a challenge as most patients fail to respond. We aim to assess baseline factors for association with long-term survival from durvalumab treatment in patients with recurrent/metastatic head and neck squamous cell carcinoma (HNSCC)1,2. Methods: Pooled longitudinal tumor size, survival, and dropout data from four trials (1108: NCT01693562, CONDOR: NCT02319044 , HAWK: NCT02207530, and EAGLE: NCT02369874) involving 467 HNSCC patients were used to develop tumor size-driven hazard models. A panel of 66 serum protein biomarkers at baseline and 4 relevant clinical markers from 346 out of 413 patients treated with durvalumab (all studies except 1108) were initially screened to select a pool of 21 candidate covariates. The criteria for dimensionality reduction comprised correlation strength between biomarkers and pharmacological hypotheses pertaining to a prior analysis3 (inflammation, immunomodulation, tumor burden and angiogenesis). Results: The final tumor model highlighted that high tumor burden, elevated LDH and neutrophil-lymphocyte ratio were associated with faster tumor growth while patients with lower baseline tumor burden had an increase in net tumor shrinkage. For overall survival, the model suggested that high levels of immunomodulators (IL23, Osteocalcin), low inflammation (IL6, NLR), low tumor burden, and low angiogenesis factors (von Willebrand factor (vWF), plasminogen activator inhibitor-1 (PAI-1)) were associated with survival benefits for patients treated with durvalumab. Specifically, these patients had baseline serum IL23 > 2.1 pg/mL and Osteocalcin > 32 pg/mL or serum PAI-1 < 229 pg/mL and serum IL6 < 5.4 pg/mL which corresponded to a hazard ratio estimate (HR and 95%CI) of 0.36 (0.27- 0.47), logrank p-value: 2.3x10−14. The median (n, 95%CI) overall survival time for the patients with favorable biomarker profile was 14.6 months (n = 129, 11.2-21.4) vs. 4.4 months (n = 217, 3.6-5.3). Conclusions: Our results corroborate the prior hypothesis highlighting the prognostic value of inflammation, disease burden, tumor angiogenesis, and immunomodulatory factors on the clinical outcomes of HNSCC patients treated with durvalumab3. Collectively, we identified a serum biomarker profile of HNSCC patients with median survival times exceeding 1 year which may potentially be used for patient enrichment following further validation in prospective studies. References: 1Yanan CPT 2017, 2Baverel, 2018 ENA, 3Guo, X, 2019 Asco P6048 Clinical trial information: NCT01693562, NCT02319044, NCT02207530, NCT02369874 .

The objectives of this analysis were to develop a population pharmacokinetics (PK) model of durvalumab, an anti-PD-L1 antibody, and quantify the impact of baseline and time-varying patient/disease characteristics on PK. Pooled data from two studies (1,409 patients providing 7,407 PK samples) were analyzed with nonlinear mixed effects modeling. Durvalumab PK was best described by a two-compartment model with both linear and nonlinear clearances. Three candidate models were evaluated: a time-invariant clearance (CL) model, an empirical time-varying CL model, and a semimechanistic time-varying CL model incorporating longitudinal covariates related to disease status (tumor shrinkage and albumin). The data supported a slight decrease in durvalumab clearance with time and suggested that it may be associated with a decrease in nonspecific protein catabolic rate among cancer patients who benefit from therapy. No covariates were clinically relevant, indicating no need for dose adjustment. Simulations indicated similar overall PK exposures following weight-based and flat-dosing regimens.

Lowering levels of peripheral amyloid-β has been proposed as a strategy to reduce plaques in patients with Alzheimer’s disease. Henderson et al. test a modified version of the amyloid-degrading enzyme neprilysin in rats, monkeys and Tg2576 mice. Levels of amyloid-β were reduced in the bloodstream, but not in the CNS., Alzheimer’s disease is characterized by the accumulation of amyloid deposits in the brain and the progressive loss of cognitive functions. Although the precise role of amyloid-β in disease progression remains somewhat controversial, many efforts to halt or reverse disease progression have focussed on reducing its synthesis or enhancing its removal. It is believed that brain and peripheral soluble amyloid-β are in equilibrium and it has previously been hypothesized that a reduction in peripheral amyloid-β can lower brain amyloid-β, thereby reducing formation of plaques predominantly composed of insoluble amyloid-β; the so-called peripheral sink hypothesis. Here we describe the use of an amyloid-β degrading enzyme, the endogenous metallopeptidase neprilysin, which is fused to albumin to extend plasma half-life and has been engineered to confer increased amyloid-β degradation activity. We used this molecule to investigate the effect of degradation of peripheral amyloid-β on amyloid-β levels in the brain and cerebrospinal fluid after repeated intravenous dosing for up to 4 months in Tg2576 transgenic mice, and 1 month in rats and monkeys. This molecule proved highly effective at degradation of amyloid-β in the periphery but did not alter brain or cerebrospinal fluid amyloid-β levels, suggesting that the peripheral sink hypothesis is not valid and is the first time that this has been demonstrated in non-human primates.

MEDI-575, an immunoglobulin G2κ monoclonal antibody, selectively binds to platelet-derived growth factor-α receptor (PDGFR-α) with high specificity. This multicenter, single-arm, open-label, phase II study evaluated the efficacy and safety of MEDI-575 in patients with recurrent glioblastoma. Adults with first recurrence of glioblastoma following surgery, temozolomide, and radiation received MEDI-575 25 mg/kg intravenously over 60 min every 21 days until disease progression or unacceptable toxicity. Six-month progression-free survival rate (PFS-6) was the primary end point; secondary measures included response rate, overall survival (OS), and safety/tolerability. PDGFR-α expression was evaluated by immunohistochemistry. Fifty-six patients were enrolled; median age was 56.5 years (range 23–79), 66 % were male, and 66 % were aged ≥65 years. PFS-6 was 15.4 % [90 % confidence interval (CI) 8.1–24.9]. No complete or partial responses were observed; 23 (41.1 %) patients had stable disease as best response. Median PFS was 1.4 months (90 % CI 1.4, 1.8); median OS was 9.7 months (90 % CI 6.5, 11.8). The most common treatment-related adverse events (AEs) were diarrhea (16 %), nausea (13 %), and fatigue (13 %). Twelve (21 %) patients reported grade ≥3 AEs, with hydrocephalus (n = 3), dysphagia (n = 2), and convulsion (n = 2) reported in more than 1 patient. Two patients had treatment-related Grade ≥3 AEs of decreased lymphocyte count and asthenia (n = 1 each). Seven patients (13 %) discontinued MEDI-575 owing to AEs. Labeling of PDGFRα in glioblastoma cells and tumor-associated stromal cells was highly variable, with no correlation with PFS. MEDI-575, although well tolerated, had limited clinical activity in recurrent glioblastoma.

Background: The anti-PD-L1 antibody durvalumab (D) has shown manageable safety and encouraging clinical activity in patients with advanced NSCLC. Combination of D with anti-CTLA-4 antibody tremelimumab (T) may amplify T-cell responses against tumors through non-redundant immune checkpoint blockade and provide synergistic antitumor activity. We previously reported that D+T showed antitumor activity and manageable tolerability in the dose-escalation part of a phase 1b study (NCT02000947) of patients with advanced NSCLC. Here we present safety, clinical activity, and long-term follow-up for one of 3 expansion cohorts. Methods: Immunotherapy-naive patients with non-squamous NSCLC who progressed after 1 prior platinum-based therapy, ECOG PS 0-1, received D IV 20 mg/kg every 4 weeks (Q4W) for up to 12 months and T IV 1 mg/kg Q4W with the first 4 cycles of D. Tumor PD-L1 expression (fresh biopsy or archival sample within 3 mo) was assessed with the Ventana PD-L1 (SP263) assay, PD-L1 cutoff: ≥25% of tumor cells with membrane staining. Results: As of 20 Oct 2017, 213 patients (71% ECOG PS 1) received therapy and were followed for a median of 13.3 (0.5-21.0) mo. Treatment-related adverse events (AEs) were reported in 76% of patients; the most common were fatigue (19%), pruritus (17%), diarrhea (15%), decreased appetite (14%), and rash (14%). 14 patients (7%) had a treatment-related AE leading to discontinuation, with colitis (1%), diarrhea (1%), and pneumonitis (1%) reported in more than 1 patient. Grade 3/4 treatment-related AEs occurred in 23% of patients; the most common were increased lipase (5%), colitis (3%), and increased amylase (3%). There was 1 treatment-related death (multifactorial hypoxia). The 12-month OS rate was 53.8% (95% CI, 46.4-60.6). The Table shows antitumor activity and survival by PD-L1 status. Conclusions: Second-line D+T had a manageable safety profile in patients with non-squamous NSCLC. Clinical activity was seen in both PD-L1 ≥25% and Response and survivalPD-L1 ≥25% n=57PD-L1 Citation Format: Jamie Chaft, Byoung Chul Cho, Myung-Ju Ahn, Sylvestre Le Moulec, Eun Kyung Cho, Vassiliki Papadimitrakopoulou, Edward Garon, Sylvia Lee, Santiago Ponce Aix, Patrick C. Ma, Gregory Otterson, Rajesh Narwal, Guozhi Gao, Jennifer McDevitt, Judson Englert, Scott Antonia. Safety and activity of second-line durvalumab + tremelimumab in non-squamous advanced NSCLC [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 CT113.

Summary Background PD-L1 and CTLA-4 immune checkpoints inhibit antitumour T-cell activity. Combination treatment with the anti-PD-L1 antibody durvalumab and the anti-CTLA-4 antibody tremelimumab might provide greater antitumour activity than either drug alone. We aimed to assess durvalumab plus tremelimumab in patients with advanced squamous or non-squamous non-small cell lung cancer (NSCLC). Methods We did a multicentre, non-randomised, open-label, phase 1b study at five cancer centres in the USA. We enrolled immunotherapy-naive patients aged 18 years or older with confirmed locally advanced or metastatic NSCLC. We gave patients durvalumab in doses of 3 mg/kg, 10 mg/kg, 15 mg/kg, or 20 mg/kg every 4 weeks, or 10 mg/kg every 2 weeks, and tremelimumab in doses of 1 mg/kg, 3 mg/kg, or 10 mg/kg every 4 weeks for six doses then every 12 weeks for three doses. The primary endpoint of the dose-escalation phase was safety. Safety analyses were based on the as-treated population. The dose-expansion phase of the study is ongoing. This study is registered with ClinicalTrials.gov, number NCT02000947. Findings Between Oct 28, 2013, and April 1, 2015, 102 patients were enrolled into the dose-escalation phase and received treatment. At the time of this analysis (June 1, 2015), median follow-up was 18·8 weeks (IQR 11–33). The maximum tolerated dose was exceeded in the cohort receiving durvalumab 20 mg/kg every 4 weeks plus tremelimumab 3 mg/kg, with two (30%) of six patients having a dose-limiting toxicity (one grade 3 increased aspartate aminotransferase and alanine aminotransferase and one grade 4 increased lipase). The most frequent treatment-related grade 3 and 4 adverse events were diarrhoea (11 [11%]), colitis (nine [9%]), and increased lipase (eight [8%]). Discontinuations attributable to treatment-related adverse events occurred in 29 (28%) of 102 patients. Treatment-related serious adverse events occurred in 37 (36%) of 102 patients. 22 patients died during the study, and three deaths were related to treatment. The treatment-related deaths were due to complications arising from myasthenia gravis (durvalumab 10 mg/kg every 4 weeks plus tremelimumab 1 mg/kg), pericardial effusion (durvalumab 20 mg/kg every 4 weeks plus tremelimumab 1 mg/kg), and neuromuscular disorder (durvalumab 20 mg/kg every 4 weeks plus tremelimumab 3 mg/kg). Evidence of clinical activity was noted both in patients with PD-L1-positive tumours and in those with PD-L1-negative tumours. Investigator-reported confirmed objective responses were achieved by six (23%, 95% CI 9–44) of 26 patients in the combined tremelimumab 1 mg/kg cohort, comprising two (22%, 95% CI 3–60) of nine patients with PD-L1-positive tumours and four (29%, 95% CI 8–58) of 14 patients with PD-L1-negative tumours, including those with no PD-L1 staining (four [40%, 95% CI 12–74] of ten patients). Interpretation Durvalumab 20 mg/kg every 4 weeks plus tremelimumab 1 mg/kg showed a manageable tolerability profile, with antitumour activity irrespective of PD-L1 status, and was selected as the dose for phase 3 studies, which are ongoing. Funding MedImmune.

Cancer immunotherapy focuses on stimulating and promoting the immune system to recognize and eliminate cancer cells, with several FDA approvals in recent years. However, identifying patients best suited for specific immune therapies, and determining optimal treatment regimens continue to be a clinical challenge. Using a molecular-detailed computational systems pharmacology model to identify cellular biomarkers and optimize regimens, we may be able to predict the efficacy of regimens in specific patient populations, and expedite drug development for cancer treatment. We developed a cell/receptor-based multi-compartment systems pharmacology model focusing on the immune response against a growing tumor, with the intent to test the effects of immune checkpoint inhibitors against PD-1, PD-L1 and CTLA-4 administered as mono- and combination therapies. Additionally, the model also allows for testing of other immuno-therapies, such as adoptive cell therapies, which can be combined with the checkpoint inhibitors. The model was designed and developed using the SimBiology plug-in in MATLAB. Simulations were performed with parameters that define the immune response at particular tumor stages of melanoma and NSCLC. All results were qualitatively and quantitatively compared to experimental pre-clinical and clinical data for model validation, or used for the generation of predictions suitable for further experimental testing. In silico, we have identified that administrations of the prescribed doses of 1-10 mg/kg of anti-CLTA-4 (based on binding kinetics) effectively saturates the receptors on the T cells, and promotes both an extended life span of the antigen presenting cells (APCs), and the maximum attainable activation levels of the effector T cells. The model further predicts that the effectiveness of anti-CTLA-4 therapy is limited by the immunogenicity of the system (i.e., the antigen intensity level and number of APCs presenting the antigens) in a monotonic fashion. Furthermore, injecting activated APCs without therapy would show a temporary tumor response and a subsequent recovery by the tumor to its original growth trajectory, while raising the antigen intensity had a sustained effect on tumor response. Other simulations indicate that, despite the lack of apparent tumor response, a sustained immune attack may be ongoing in the body; however, the immune activity is proportionally limited by the tumor and regulatory cells. Lastly, several dose-responses and clinical trials were simulated for both combination and monotherapies, and correlated with published clinical trial data. Future work will focus on uncovering the cellular biomarkers responsible for such results, experimentally validating them, as well as simulating optimal combination treatment regimens for future evaluation. Citation Format: Oleg Milberg, Chang Gong, Bing Wang, Paolo Vicini, Rajesh Narwal, Lorin Roskos, Aleksander Popel. Systems pharmacology to predict cellular biomarkers and optimize mono- and combination-therapy regimens: Focusing on immune checkpoint targets PD-1, PD-L1 and CTLA-4 [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 4531. doi:10.1158/1538-7445.AM2017-4531

3035 Background: Progression of cancer is often associated with biomarkers of cancer inflammation, cachexia, and increased protein catabolism. Anti-PD1 and PD-L1 therapy have demonstrated durable responses across a number of tumor types. Durvalumab is a human monoclonal antibody that binds to PD-L1 and blocks its interaction with PD-1 and CD80. The primary objective of this analysis was to prospectively assess potential correlations of longitudinal changes in ALB and NLR and durvalumab clearance (CL) rate to maximum decrease in tumor size and overall survival (OS) in patients (pts) with NSCLC and UC receiving durvalumab. Methods: Longitudinal target lesion size, serum chemistry, hematology and pharmacokinetic data were obtained from 3L+ NSCLC pts (n = 418) in study ATLANTIC and 2L+ UC pts (n = 182) in study 1108 during durvalumab treatment. Nonparametric correlations (Spearman’s rho) were evaluated between OS, maximum percent change in target lesion size, and the maximum percent change from baseline observed in ALB, NLR, and CL. Results: In NSCLC, maximum decrease in tumor size was correlated with increased ALB (r = 0.46, p < 0.0001), decreased NLR (r = 0.44, p < 0.0001), and decreased CL (r = 0.66, p < 0.0001). OS was similarly correlated with increased ALB (r = 0.47, p < 0.0001), decreased NLR (r = 0.41, p < 0.0001), and decreased CL (r = 0.76, p < 0.0001). In UC, decreased tumor size also correlated with increased ALB (r = 0.43, p < 0.0001), decreased NLR (r = 0.38, p < 0.0001), and decreased CL (r = 0.65, p < 0.0001). OS in UC also correlated with increased ALB (r = 0.50, p < 0.0001), decreased NLR (r = 0.33, p < 0.0001) and decreased CL (r = 0.82, p < 0.0001). Conclusions: In NSCLC and UC pts receiving durvalumab, tumor shrinkage and longer survival are associated with increased ALB, decreased NLR and decreased clearance of durvalumab. These findings support the hypothesis that durvalumab may be associated with a decrease in protein catabolism, inflammation and cachexia among pts who benefited from therapy. Additional biomarkers of cancer, inflammation and cachexia will be evaluated for relationships to clinical outcomes.

3038 Background: Immunotherapies have improved survival in NSCLC but not all pts benefit. Besides baseline PDL1 expression, routinely measured clinical factors may predict clinical outcomes in immunotherapy trials. LM are associated with poor prognosis in melanoma and bladder cancer pts treated with anti-PD1/L1, respectively. We examined correlation between pretreatment LM and survival in D-treated NSCLC pts. Methods: CP1108/NCT01693562 and ATLANTIC/NCT02087423 were nonrandomized phase 1/2 and 2 trials, respectively, of D 10 mg/kg Q2W in advanced NSCLC. As of Oct 24/Jun 3 2016, 304/265 primarily pretreated pts were enrolled in CP1108/ATLANTIC Cohort 2. Cox proportional hazards analysis was conducted, first among LM+/− pts, then LM+/− and PDL1 high/low pts. Both models accounted for tumor stage, ECOG/WHO PS, histology, sex, age, smoking and PDL1 status. PDL1 high was defined as ≥25% tumor cells immunostained for PDL1 at any intensity. Results: LM absence was a positive independent predictor of OS and PFS in both trials. LM− and PDL1 high or low pts had improved OS and PFS vs PDL1 low/LM+; PDL1 high/LM+ pts had improved PFS vs PDL1 low/LM+. An independent tumor kinetic model indicated LM as a predictive covariate of rapid tumor growth in D-treated pts. Conclusions: LM are associated with shorter survival in D-treated NSCLC pts in 2 trials irrespective of PDL1 status. Clinical trial information: NCT02087423 and NCT01693562. [Table: see text]

2568 Background: Durvalumab is a human monoclonal antibody that binds to PD-L1 and blocks its interaction with PD-1 and CD-80. The objective of this analysis was to evaluate the relationship between durvalumab PK exposure with efficacy and safety following 10 mg/kg Q2W durvalumab. Methods: Data from Study 1108 (Phase 1/2; all tumor types) and ATLANTIC (Phase 2; NSCLC) were used for exposure-safety analysis for Study 1108 UC cohort, Study 1108 all patients and ATLANTIC patients, respectively, whereas the exposure-efficacy analysis was performed using data from Study 1108 UC cohort. The observed PK exposure metrics included PK concentrations after the first, second or steady state doses. Efficacy endpoints used were objective response rate (ORR) and best percentage change in target lesion from baseline per BICR assessment. Safety endpoints included Grade 3+ AE (any AE, drug-related AE, AESI, and drug-related AESI) and AE leading to treatment discontinuation. Results: Overall, no association of PK exposure with efficacy or safety was observed. Distribution of PK metrics were similar between responders and non-responders. The probability of objective response was similar in all quartiles of exposure (p-value ranged from 0.37 to 0.67; n = 96) with no obvious trends between PK exposures and change in tumor size. For Grade 3+ AE (all types) and AE leading to treatment discontinuation, higher PK exposure was not associated with an increased risk of AE (p-value ranged from < 0.00005 to 0.88; n = 158, 929 and 434 for 1108 UC cohort, 1108 all patients and ATLANTIC all patients, respectively). A few inverse trends were observed, likely due to confounding effect of ECOG or albumin since covariate analysis demonstrated that both variables correlated with PK and AEs. In addition, the association of ECOG and albumin versus PK exposure were also observed in the population PK modeling. Conclusions: The exposure-efficacy and exposure-safety analyses suggested that 10 mg/kg IV Q2W regimen was an appropriate dose for durvalumab as single agent in UC patients. Overall, no relationship of PK exposure with either the efficacy or safety was observed following 10 mg/kg IV Q2W regimen. Clinical trial information: NCT02087423 and NCT01693562.

Background: Programmed cell death ligand-1 (PD-L1) is widely expressed on antigen presenting cells (APC) and other immune cells. PD-L1 binds two important regulatory receptors on T-cells: programmed cell death-1 (PD-1) and CD80/B7. Targeting Programmed Death-1 (PD-1) and its ligand, PD-L1, have demonstrated promising anti-tumor activity among other challenging solid tumors and growing data implicates PD-1/PD-L1 signaling as a significant contributor to immunosuppression in glioblastoma (GBM). PD-1 is expressed by many GBM infiltrating lymphocytes while PD-L1 is expressed by 61-100% of GBM tumors. Furthermore, loss of the PTEN tumor suppressor gene, which occurs in 40-50% of GBM tumors, leads to increased transcription and expression of PD-L1 in GBM. These findings indicate that PD-L1 is an attractive and important therapeutic target in GBM. MEDI4736 (M), a human IgG1κ blocking monoclonal antibody against PD-L1, represents a compelling immune-mediated anti-tumor treatment for GBM. Methods: Phase 2, multicenter, open-label study (NCT02336165) is evaluating the clinical efficacy and safety of M in GBM patients. Eligible patients include those who are newly diagnosed with unmethylated MGMT GBM scheduled for standard radiotherapy (Cohort A); Bevacizumab-naïve patients with recurrent GBM (Cohort B); and Bevacizumab-refractory patients with recurrent GBM (Cohort C). Cohort A patients will receive M at 10 mg/kg i.v. Q2W for up to 12 months beginning with standard radiotherapy. Cohort B will receive M at 10 mg/kg i.v. Q2W for up to 12 months as monotherapy. Cohort C will receive M at 10 mg/kg i.v. Q2W for up to 12 months in combination with continued bevacizumab at 10 mg/kg Q2W. Primary endpoints include overall survival (OS) at 12 months (cohort A), progression free survival rate at 6 months (PFS-6) (cohort B) and OS-6 (cohort C). Secondary endpoints are safety/tolerability, PFS, median OS, radiographic response, and quality of life (QoL) by EORTC QLQ-C30/BN20. Exploratory endpoints are patient neurologic function using the Neurologic Assessment in Neuro-Oncology (NANO) scale, as well as immuno-correlative biomarkers and pharmacokinetics. Cohort A represents the first time MEDI4736 is being given in combination with radiation, so a 3+3 subject safety run-in is required by protocol. Subjects must clear a 10 week DLT observation period before enrollment opens to the remainder of the cohort. If 2 or more DLTs are noted within the first 6 patients, then the MEDI4736 dose will be de-escalated. Cohort C represents the first time MEDI4736 is being given in combination with bevacizumab, so a 3+3 subject safety run-in period similar to that for Cohort A is also required, but with a 6 week DLT observation period. Study Status: All cohorts opened to enrollment in March 2015 with Cohorts A and C currently limited by the subject safety run-in period. As of 10 June 2015, the numbers of subjects enrolled by cohort are: Cohort A = 2, Cohort B = 26, Cohort C = 3. No DLTs have been reported, and clinical efficacy and safety data collection are ongoing. Citation Format: David A. Reardon, Jorg Dietrich, Thomas Kaley, Hui Gan, Gavin P. Dunn, Timothy Cloughesy, Michael Lim, Jennifer Clarke, Andrew Park, Linda Pan, Domenic W. Lai, Joyson Karakunnel, Paul Robbins, Rajesh Narwal, Ralph Venhaus. Phase 2 study to evaluate the clinical efficacy and safety of MEDI4736 in patients with glioblastoma (GBM). [abstract]. In: Proceedings of the CRI-CIMT-EATI-AACR Inaugural International Cancer Immunotherapy Conference: Translating Science into Survival; September 16-19, 2015; New York, NY. Philadelphia (PA): AACR; Cancer Immunol Res 2016;4(1 Suppl):Abstract nr A046.

MEDI-575, an immunoglobulin G2κ monoclonal antibody, selectively binds to platelet-derived growth factor-α receptor (PDGFR-α) with high specificity. This multicenter, single-arm, open-label, phase II study evaluated the efficacy and safety of MEDI-575 in patients with recurrent glioblastoma. Adults with first recurrence of glioblastoma following surgery, temozolomide, and radiation received MEDI-575 25 mg/kg intravenously over 60 min every 21 days until disease progression or unacceptable toxicity. Six-month progression-free survival rate (PFS-6) was the primary end point; secondary measures included response rate, overall survival (OS), and safety/tolerability. PDGFR-α expression was evaluated by immunohistochemistry. Fifty-six patients were enrolled; median age was 56.5 years (range 23–79), 66 % were male, and 66 % were aged ≥65 years. PFS-6 was 15.4 % [90 % confidence interval (CI) 8.1–24.9]. No complete or partial responses were observed; 23 (41.1 %) patients had stable disease as best response. Median PFS was 1.4 months (90 % CI 1.4, 1.8); median OS was 9.7 months (90 % CI 6.5, 11.8). The most common treatment-related adverse events (AEs) were diarrhea (16 %), nausea (13 %), and fatigue (13 %). Twelve (21 %) patients reported grade ≥3 AEs, with hydrocephalus (n = 3), dysphagia (n = 2), and convulsion (n = 2) reported in more than 1 patient. Two patients had treatment-related Grade ≥3 AEs of decreased lymphocyte count and asthenia (n = 1 each). Seven patients (13 %) discontinued MEDI-575 owing to AEs. Labeling of PDGFRα in glioblastoma cells and tumor-associated stromal cells was highly variable, with no correlation with PFS. MEDI-575, although well tolerated, had limited clinical activity in recurrent glioblastoma.

Malignant mesothelioma (MM) is an uncommon cancer, caused principally by asbestos exposure. No treatments after first-line platinum-pemetrexed (1) have shown survival benefit (2), thus novel approaches are needed. Asbestos exposure induces immunosuppression and immune dysfunction in the mesothelium environment mainly by hyperactivation of regulatory T lymphocytes and over-production of cytokines that inhibit cytotoxic T lymphocytes and natural killer cells (3). Cytotoxic T lymphocyte-associated antigen 4 (CTLA-4, CD152) modulates and eventually switches off T cell activation. Tremelimumab binds to the CTLA-4 antigen, preventing its negative regulatory signaling to cytotoxic T cells (4). Results from a single arm phase 2 study of tremelimumab in 29 patients with MM who progressed on a platinum-based regimen showed promising 1- and 2- year survival rates (48.3% and 36.7%) and a safety profile consistent with previous tremelimumab studies. Two patients had durable partial response (6 and 15+ mo.): 1 after initial progressive disease. The disease control rate (DCR) was 31.0%: 5 patients had prolonged stable disease (9 to 27+ mo.). In addition, absolute levels of CD4+ICOS+ T cells significantly correlated (P = .007) with favorable overall survival (ClinicalTrials.gov # [NCT01649024][1])(5). This study has been expanded to include an additional 29 patients who receive tremelimumab every 4 weeks for 6 doses, then every 12 weeks until confirmed disease progression. The expansion study completed enrollment in July 2013 (ClinicalTrials.gov # [NCT01655888][2]). Here we describe the design of a phase 2, randomized, double-blind, placebo-controlled study that is enrolling patients with unresectable pleural or peritoneal MM who progressed following 1 or 2 prior treatments, including a first-line platinum-pemetrexed regimen. Patients are randomized in a 2:1 ratio to receive either tremelimumab or placebo with stratification by EORTC status (low- vs high-risk), line of therapy (second vs third), and anatomical site (pleural vs peritoneal). Enrollment will include 180 patients at approximately 150 centers in multiple countries. The primary endpoint is overall survival. Secondary endpoints are durable DCR; progression-free survival (PFS); patient-reported outcomes (pain, disease-related symptoms, and time to deterioration of disease-related symptoms); duration of response and overall response rate (ORR); tremelimumab safety profile, immunogenicity, and pharmacokinetics. Exploratory endpoints are DCR, PFS, duration of response and ORR based on immune-related response criteria. Health-related quality of life, disease-related symptoms, pain, and health status in patients with durable clinical activity, as well as the association of biomarkers with tremelimumab and clinical outcomes will also be explored (ClinicalTrials.gov #[NCT01843374][3]). This study is sponsored by MedImmune. Citation Information: Mol Cancer Ther 2013;12(11 Suppl):B80. Citation Format: Luana Calabro, Lee M. Krug, Alessandra DiPietro, Scott Antonia, Raffit Hassan, Rajesh Narwal, Paul Robbins, Dongyue Fu, Aiman Shalabi, Hesham Abdullah, Ramy Ibrahim, Hedy Kindler, Michele Maio. A Phase II randomized, double-blind, placebo-controlled study of tremelimumab for second- and third-line treatment in patients with unresectable pleural or peritoneal mesothelioma. [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2013 Oct 19-23; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2013;12(11 Suppl):Abstract nr B80. [1]: /lookup/external-ref?link_type=CLINTRIALGOV&access_num=NCT01649024&atom=%2Fmolcanther%2F12%2F11_Supplement%2FB80.atom [2]: /lookup/external-ref?link_type=CLINTRIALGOV&access_num=NCT01655888&atom=%2Fmolcanther%2F12%2F11_Supplement%2FB80.atom [3]: /lookup/external-ref?link_type=CLINTRIALGOV&access_num=NCT01843374&atom=%2Fmolcanther%2F12%2F11_Supplement%2FB80.atom