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Saad ED, Coart E, Deltuvaite-Thomas V, Garcia-Barrado L, Burzykowski T, Buyse M. Trial Design for Cancer Immunotherapy: A Methodological Toolkit. Cancers (Basel) 2023; 15:4669. [PMID: 37760636 PMCID: PMC10527464 DOI: 10.3390/cancers15184669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 08/12/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023] Open
Abstract
Immunotherapy with checkpoint inhibitors (CPIs) and cell-based products has revolutionized the treatment of various solid tumors and hematologic malignancies. These agents have shown unprecedented response rates and long-term benefits in various settings. These clinical advances have also pointed to the need for new or adapted approaches to trial design and assessment of efficacy and safety, both in the early and late phases of drug development. Some of the conventional statistical methods and endpoints used in other areas of oncology appear to be less appropriate in immuno-oncology. Conversely, other methods and endpoints have emerged as alternatives. In this article, we discuss issues related to trial design in the early and late phases of drug development in immuno-oncology, with a focus on CPIs. For early trials, we review the most salient issues related to dose escalation, use and limitations of tumor response and progression criteria for immunotherapy, the role of duration of response as an endpoint in and of itself, and the need to conduct randomized trials as early as possible in the development of new therapies. For late phases, we discuss the choice of primary endpoints for randomized trials, review the current status of surrogate endpoints, and discuss specific statistical issues related to immunotherapy, including non-proportional hazards in the assessment of time-to-event endpoints, alternatives to the Cox model in these settings, and the method of generalized pairwise comparisons, which can provide a patient-centric assessment of clinical benefit and be used to design randomized trials.
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Affiliation(s)
- Everardo D. Saad
- International Drug Development Institute, Louvain-la-Neuve (IDDI), 1340 Ottignies-Louvain-la-Neuve, Belgium; (E.C.); (V.D.-T.); (L.G.-B.); (T.B.); (M.B.)
| | - Elisabeth Coart
- International Drug Development Institute, Louvain-la-Neuve (IDDI), 1340 Ottignies-Louvain-la-Neuve, Belgium; (E.C.); (V.D.-T.); (L.G.-B.); (T.B.); (M.B.)
| | - Vaiva Deltuvaite-Thomas
- International Drug Development Institute, Louvain-la-Neuve (IDDI), 1340 Ottignies-Louvain-la-Neuve, Belgium; (E.C.); (V.D.-T.); (L.G.-B.); (T.B.); (M.B.)
| | - Leandro Garcia-Barrado
- International Drug Development Institute, Louvain-la-Neuve (IDDI), 1340 Ottignies-Louvain-la-Neuve, Belgium; (E.C.); (V.D.-T.); (L.G.-B.); (T.B.); (M.B.)
| | - Tomasz Burzykowski
- International Drug Development Institute, Louvain-la-Neuve (IDDI), 1340 Ottignies-Louvain-la-Neuve, Belgium; (E.C.); (V.D.-T.); (L.G.-B.); (T.B.); (M.B.)
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), Hasselt University, B-3500 Hasselt, Belgium
| | - Marc Buyse
- International Drug Development Institute, Louvain-la-Neuve (IDDI), 1340 Ottignies-Louvain-la-Neuve, Belgium; (E.C.); (V.D.-T.); (L.G.-B.); (T.B.); (M.B.)
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), Hasselt University, B-3500 Hasselt, Belgium
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Ma Y, Xue J, Zhao Y, Zhang Y, Huang Y, Yang Y, Fang W, Guo Y, Li Q, Ge X, Sun J, Zhang B, Zhang Y, Xiao J, Zhang L, Zhao H. Phase I trial of KN046, a novel bispecific antibody targeting PD-L1 and CTLA-4 in patients with advanced solid tumors. J Immunother Cancer 2023; 11:jitc-2022-006654. [PMID: 37263673 DOI: 10.1136/jitc-2022-006654] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/26/2023] [Indexed: 06/03/2023] Open
Abstract
BACKGROUND KN046 is a novel bispecific antibody targeting programmed death ligand 1 (PD-L1) and cytotoxic T lymphocyte-associated protein 4 (CTLA-4). This multicenter phase I trial investigated the safety, tolerability, pharmacokinetics (PK), and efficacy of KN046 in patients with advanced solid tumors. METHODS Patients who failed standard treatment were included. KN046 was administered at doses of 1, 3, and 5 mg/kg every 2 weeks (Q2W), 5 mg/kg every 3 weeks (Q3W), and 300 mg Q3W based on the modified toxicity probability interval method in the dose-escalation phase; the recommended dose was used in the expansion phase. Primary objectives were maximum tolerated dose (MTD) and recommended phase II dose (RP2D) in escalation and preliminary efficacy in expansion. Secondary objectives included PK, pharmacodynamics, safety, and tolerability of KN046. We also explored biomarkers based on PD-L1 expression, multiplex immunofluorescence (mIF) staining, and RNAseq-derived nCounter platform. RESULTS Totally, 100 eligible patients were enrolled, including 59 with nasopharyngeal carcinoma (NPC), 36 with epidermal growth factor receptor (EGFR)-mutated non-small-cell lung cancer (NSCLC), and those with other advanced solid tumors. The most common treatment-related adverse events (TRAEs) were rash (33.0%), pruritus (31.0%), and fatigue (20.0%). Grade ≥3 TRAEs were observed in 14.0% of participants. No dose-limiting toxicity occurred in the dose-escalation phase, and the MTD was not reached. The RP2D was determined as 5 mg/kg Q2W according to the pharmacokinetic-pharmacodynamic model, the preliminary exposure-response analysis, and the overall safety profile. Among 88 efficacy-evaluable participants, the objective response rate (ORR) was 12.5%, and the median duration of response was 16.6 months. In the NPC subgroup, the ORR was 15.4%, and the median overall survival (OS) was 24.7 (95% CI 16.3 to not estimable) months. In the EGFR-mutant NSCLC subgroup, the ORR was 6.3%. mIF analysis results showed patients with high CD8 expression showed longer median OS (27.1 vs 9.2 months, p=0.02); better prognosis was observed in patients with high CD8 and PD-L1 expression. CONCLUSIONS KN046 was well tolerated and showed promising antitumor efficacy in advanced solid tumors, especially in patients with NPC. The combination of both CD8 and PD-L1 expression improved the prediction of KN046 response. TRIAL REGISTRATION NUMBERS NCT03733951 .
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Affiliation(s)
- Yuxiang Ma
- Department of Clinical Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Jinhui Xue
- Department of Clinical Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Yuanyuan Zhao
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Yang Zhang
- Department of Clinical Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Yan Huang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Yunpeng Yang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Wenfeng Fang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Ye Guo
- Department of Oncology, Shanghai East Hospital,School of Medicine, Tongji University, Shanghai, China
| | - Qun Li
- Department of Oncology, Shanghai East Hospital,School of Medicine, Tongji University, Shanghai, China
| | - Xiaoxiao Ge
- Department of Oncology, Shanghai East Hospital,School of Medicine, Tongji University, Shanghai, China
| | - Jie Sun
- Department of Clinical Medicine, Jiangsu Alphamab Biopharmaceuticals Co.,Ltd, Jiangsu, China
| | - Bangyong Zhang
- Department of Clinical Operations, Jiangsu Alphamab Biopharmaceuticals Co.,Ltd, Jiangsu, China
| | - Yuhan Zhang
- Department of Translational Medicine, YuceBio Technology Co., Ltd, Shenzhen, China
| | - Jinyuan Xiao
- Department of Translational Medicine, YuceBio Technology Co., Ltd, Shenzhen, China
| | - Li Zhang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Hongyun Zhao
- Department of Clinical Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
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Korn EL, Moscow JA, Freidlin B. Dose optimization during drug development: whether and when to optimize. J Natl Cancer Inst 2023; 115:492-497. [PMID: 36534891 PMCID: PMC10165487 DOI: 10.1093/jnci/djac232] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 11/10/2022] [Accepted: 12/14/2022] [Indexed: 12/24/2022] Open
Abstract
The goal of dose optimization during drug development is to identify a dose that preserves clinical benefit with optimal tolerability. Traditionally, the maximum tolerated dose in a small phase I dose escalation study is used in the phase II trial assessing clinical activity of the agent. Although it is possible that this dose level could be altered in the phase II trial if an unexpected level of toxicity is seen, no formal dose optimization has routinely been incorporated into later stages of drug development. Recently it has been suggested that formal dose optimization (involving randomly assigning patients between 2 or more dose levels) be routinely performed early in drug development, even before it is known that the experimental therapy has any clinical activity at any dose level. We consider the relative merits of performing dose optimization earlier vs later in the drug development process and demonstrate that a considerable number of patients may be exposed to ineffective therapies unless dose optimization is delayed until after clinical activity or benefit of the new agent has been established. We conclude that patient and public health interests may be better served by conducting dose optimization after (or during) phase III evaluation, with some exceptions when dose optimization should be performed after activity shown in phase II evaluation.
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Affiliation(s)
- Edward L Korn
- Biometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
| | - Jeffrey A Moscow
- Cancer Therapy Evaluation Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
| | - Boris Freidlin
- Biometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
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Walker K, Hinsley S, Phillip R, Oughton JB, Murden G, Chalmers AJ, Faivre-Finn C, Greystoke A, Brown SR. Implementation of the Time-to-Event Continuous Reassessment Method Design in a Phase I Platform Trial Testing Novel Radiotherapy-Drug Combinations-CONCORDE. JCO Precis Oncol 2022; 6:e2200133. [PMID: 36446040 PMCID: PMC9812638 DOI: 10.1200/po.22.00133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 09/23/2022] [Accepted: 10/04/2022] [Indexed: 11/30/2022] Open
Abstract
PURPOSE CONCORDE is the first phase I drug-radiotherapy (RT) combination platform in non-small-cell lung cancer, designed to assess multiple different DNA damage response inhibitors in combination with radical thoracic RT. Time-to-event continuous reassessment method (TiTE-CRM) methodology will inform dose escalation individually for each different DNA damage response inhibitor-RT combination and a randomized calibration arm will aid attribution of toxicities. We report in detail the novel statistical design and implementation of the TiTE-CRM in the CONCORDE trial. METHODS Statistical parameters were calibrated following recommendations by Lee and Cheung. Simulations were performed to assess the operating characteristics of the chosen models and were written using modified code from the R package dfcrm. RESULTS The results of the simulation work showed that the proposed statistical model setup can answer the research questions under a wide range of potential scenarios. The proposed models work well under varying levels of recruitment and with multiple adaptations to the original methodology. CONCLUSION The results demonstrate how TiTE-CRM methodology may be used in practice in a complex dose-finding platform study. We propose that this novel phase I design has potential to overcome some of the logistical barriers that for many years have prevented timely development of novel drug-RT combinations.
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Affiliation(s)
- Katrina Walker
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, England, United Kingdom
| | - Samantha Hinsley
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, England, United Kingdom
- Cancer Research UK Glasgow Clinical Trials Unit, Institute of Cancer Sciences, University of Glasgow, Scotland, United Kingdom
| | - Rachel Phillip
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, England, United Kingdom
| | - Jamie B. Oughton
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, England, United Kingdom
| | - Geraldine Murden
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, England, United Kingdom
| | - Anthony J. Chalmers
- Institute of Cancer Sciences, University of Glasgow, Scotland, United Kingdom
| | - Corinne Faivre-Finn
- The Christie NHS Foundation Trust/University of Manchester, Manchester, United Kingdom
| | | | - Sarah R. Brown
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, England, United Kingdom
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