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Featured researches published by Yong Ben.


JAMA Oncology | 2017

Efficacy and Safety of Durvalumab in Locally Advanced or Metastatic Urothelial Carcinoma: Updated Results From a Phase 1/2 Open-label Study

Thomas Powles; Peter H. O'Donnell; Christophe Massard; Hendrik Tobias Arkenau; Terence W. Friedlander; Christopher J. Hoimes; Jae Lyun Lee; Michael Ong; Srikala S. Sridhar; Nicholas J. Vogelzang; Mayer Fishman; Jingsong Zhang; Sandy Srinivas; Jigar Parikh; Joyce Antal; Xiaoping Jin; Ashok Kumar Gupta; Yong Ben; Noah M. Hahn

Importance The data reported herein were accepted for assessment by the US Food and Drug Administration for Biologics License Application under priority review to establish the clinical benefit of durvalumab as second-line therapy for locally advanced or metastatic urothelial carcinoma (UC), resulting in its recent US approval. Objective To report a planned update of the safety and efficacy of durvalumab in patients with locally advanced/metastatic UC. Design, Setting, and Participants This is an ongoing phase 1/2 open-label study of 191 adult patients with histologically or cytologically confirmed locally advanced/metastatic UC whose disease had progressed on, were ineligible for, or refused prior chemotherapy from 60 sites in 9 countries as reported herein. Intervention Patients were administered durvalumab intravenous infusion, 10 mg/kg every 2 weeks, for up to 12 months or until progression, starting another anticancer therapy, or unacceptable toxic effects. Main Outcomes and Measures Primary end points were safety and confirmed objective response rate (ORR) per blinded independent central review (Response Evaluation Criteria In Solid Tumors [RECIST], version 1.1). Results A total of 191 patients with UC had received treatment. As of October 24, 2016 (90-day update), the median follow-up was 5.78 months (range, 0.4-25.9 months). The median age of patients was 67.0 years and most were male (136 [71.2%]) and white (123 [71.1%]). All patients had stage 4 disease, and 190 (99.5%) had prior anticancer therapy (182 [95.3%] postplatinum). The ORR was 17.8% (34 of 191; 95% CI, 12.7%-24.0%), including 7 complete responses. Responses were early (median time to response, 1.41 months), durable (median duration of response not reached), and observed regardless of programmed cell death ligand-1 (PD-L1) expression (ORR, 27.6% [n = 27; 95% CI, 19.0%-37.5%] and 5.1% [n = 4; 95% CI, 1.4%-12.5%] in patients with high and low or negative expression of PD-L1, respectively). Median progression-free survival and overall survival were 1.5 months (95% CI, 1.4-1.9 months) and 18.2 months (95% CI, 8.1 months to not estimable), respectively; the 1-year overall survival rate was 55% (95% CI, 44%-65%), as estimated by Kaplan-Meier method. Grade 3/4 treatment-related adverse events (AEs) occurred in 13 patients (6.8%); grade 3/4 immune-mediated AEs occurred in 4 patients (2.1%); and treatment-related AEs led to discontinuation of 3 patients (1.6%), 2 of whom had immune-mediated AEs that led to death (autoimmune hepatitis and pneumonitis). Conclusions and Relevance Durvalumab, 10 mg/kg every 2 weeks, demonstrates favorable clinical activity and an encouraging and manageable safety profile in patients with locally advanced/metastatic UC. Trial Registration clinicaltrials.gov Identifier: NCT01693562


Clinical Pharmacology & Therapeutics | 2018

Population Pharmacokinetics of Durvalumab in Cancer Patients and Association With Longitudinal Biomarkers of Disease Status

Paul G. Baverel; Vincent F.S. Dubois; Chao Yu Jin; Yanan Zheng; Xuyang Song; Xiaoping Jin; Pralay Mukhopadhyay; Ashok Kumar Gupta; Phillip A. Dennis; Yong Ben; Paolo Vicini; Lorin Roskos; Rajesh Narwal

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.


Clinical Pharmacology & Therapeutics | 2018

Population Modeling of Tumor Kinetics and Overall Survival to Identify Prognostic and Predictive Biomarkers of Efficacy for Durvalumab in Patients With Urothelial Carcinoma

Yanan Zheng; Rajesh Narwal; Chaoyu Jin; Paul G. Baverel; Xiaoping Jin; Ashok Kumar Gupta; Yong Ben; Bing Wang; Pralay Mukhopadhyay; Brandon W. Higgs; Lorin Roskos

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.


Cancer Research | 2017

Abstract 664: Analytical validation and clinical utility of an immunohistochemical PD-L1 diagnostic assay for treatment with durvalumab in urothelial carcinoma patients

M Zajac; A M. Boothman; Yong Ben; Ashok Kumar Gupta; J Antal; Xiaoping Jin; A Nielsen; G Manriquez; Craig Barker; P Wang; P Patil; N Schechter; Marlon Rebelatto; Jill Walker

Background: A high quality programmed cell death ligand-1 (PD-L1) diagnostic may help to identify patients (pts) most likely to respond to anti-PD-L1/programmed cell death-1 (PD-1) therapy. Here we describe a PD-L1 immunohistochemical (IHC) diagnostic test developed for urothelial carcinoma (UC) pts treated with durvalumab. Methods: The IHC assay uses an anti-human PD-L1 rabbit mAb optimized for detection of both tumor cell (TC) and tumor-associated immune cell (IC) PD-L1 expression with the OptiView DAB IHC Detection Kit on the automated VENTANA BenchMark ULTRA platform. The assay was validated for intended use in UC formalin-fixed, paraffin-embedded samples in a series of studies that addressed sensitivity, specificity, robustness and precision and implemented in Study CD-ON-MEDI4736-1108 (NCT01693562). Pts were evaluated using the VENTANA PD-L1 (SP263) Assay at a prespecified PD-L1 expression cut-off. Efficacy was analyzed in pts with PD-L1 low/negative (defined as TC Results: The VENTANA PD-L1 (SP263) Assay met all the predefined acceptance criteria (average positive agreement and average negative agreement >85%), showing analytical specificity, sensitivity and precision. It demonstrated ≥97% and ≥85% inter-reader precision agreement for TC and IC respectively. For intra-reader precision, it demonstrated >96% and >87% agreement for TC and IC respectively. For intra-day performance, the assay demonstrated ≥96% agreement for TC and IC and for inter-day performance, it demonstrated ≥98% and 100% agreement for TC and IC respectively. Precision studies for inter-antibody lot, inter-detection kit lot and intra-platform demonstrated >97% agreement for both TC and IC. Inter-laboratory testing was performed at 3 external laboratories and demonstrated an overall agreement rate of 92.3%. The VENTANA PD-L1 (SP263) Assay was implemented in Study CD-ON-MEDI4736-1108 and durvalumab demonstrated clinical activity and durability of response in both PD-L1 high and PD-L1 low/negative subgroups, yet with different response rates. In addition, given the high negative predictive value of the assay, it is especially helpful in evaluating the likelihood of response to durvalumab; pts who were classified as PD-L1 high with the VENTANA PD-L1 (SP263) Assay tended to have a higher objective response rate per RECIST v1.1 than pts who were PD-L1 low/negative. Conclusions: These data show that determination of PD-L1 expression in TC and IC in UC pts using the VENTANA PD-L1 (SP263) Assay is precise and highly reproducible and highlight the utility of the assay in a clinical setting. The VENTANA SP263 Assay is especially helpful in informing pts and physicians on the likelihood of response to durvalumab, but not for the purpose of restricting treatment to only PD-L1 high pts. Citation Format: M Zajac, A M. Boothman, Y Ben, A Gupta, J Antal, X Jin, A Nielsen, G Manriquez, C Barker, P Wang, P Patil, N Schechter, M Rebelatto, J Walker. Analytical validation and clinical utility of an immunohistochemical PD-L1 diagnostic assay for treatment with durvalumab in urothelial carcinoma patients [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 664. doi:10.1158/1538-7445.AM2017-664


Journal of Clinical Oncology | 2017

Exposure-efficacy and safety analysis of durvalumab in patients with urothelial carcinoma (UC) and other solid tumors.

Chaoyu Jin; Yanan Zheng; Xiaoping Jin; Pralay Mukhopadhyay; Ashok Kumar Gupta; Phillip A. Dennis; Yong Ben; Lorin Roskos; Rajesh Narwal


Journal of Clinical Oncology | 2017

Biologic and clinical relevance of an IFNG mRNA signature (IFNGS) and PD-L1 protein expression in tumor and immune cells in urothelial cancer (UC) patients (pts) treated with durvalumab (D).

Carlos Bais; Michael Kuziora; Chris Morehouse; Brandon W. Higgs; Rajiv Raja; Young Lee; Melissa de los Reyes; Marlon Rebelatto; Keith Steele; Xiaoping Jin; Li Shi; Fernanda Pilataxi; Yong Ben; Joyce Antal; Ashok Kumar Gupta; Koustubh Ranade


Journal of Clinical Oncology | 2017

Population pharmacokinetics of durvalumab and fixed dosing regimens in patients with advanced solid tumors.

Paul Baverel; Vincent F.S. Dubois; Chaoyu Jin; Xuyang Song; Xiaoping Jin; Pralay Mukhopadhyay; Ashok Kumar Gupta; Phillip A. Dennis; Yong Ben; Lorin Roskos; Rajesh Narwal


Journal of Clinical Oncology | 2016

A phase 3 study of first-line durvalumab (MEDI4736) {+/-} tremelimumab versus standard of care (SoC) chemotherapy (CT) in patients (pts) with unresectable Stage IV urothelial bladder cancer (UBC): DANUBE.

Thomas Powles; Matt D. Galsky; Daniel Castellano; Michiel S. van der Heijden; Daniel P. Petrylak; Jon Armstrong; Riccardo Belli; Salvatore Ferro; Yong Ben; Joaquim Bellmunt


Journal of Clinical Oncology | 2017

Tumor shrinkage and increased overall survival are associated with improved albumin, neutrophil lymphocyte ratio (NLR) and decreased durvalumab clearance in NSCLC and UC patients receiving durvalumab.

Thomas Powles; Chaoyu Jin; Yanan Zheng; Paul Baverel; Rajesh Narwal; Pralay Mukhopadhyay; Xiaoping Jin; Phillip A. Dennis; Ashok Kumar Gupta; Yong Ben; Tony W. Ho; Lorin Roskos


Journal of Clinical Oncology | 2016

A phase 2, open-label, multicenter study of durvalumab (MEDI4736) {+/-} tremelimumab in patients (pts) with metastatic pancreatic ductal adenocarcinoma (mPDAC): ALPS.

Eileen Mary O'Reilly; Do-Youn Oh; Myung Ah Lee; Neesha C. Dhani; Jon Armstrong; Riccardo Belli; Salvatore Ferro; Yong Ben

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