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Maki A, Narukawa M. Factors Associated with Inclusion of Japan in Phase I Multiregional Clinical Trials in Oncology. Ther Innov Regul Sci 2024; 58:766-772. [PMID: 38652349 DOI: 10.1007/s43441-024-00655-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Accepted: 04/12/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND Early inclusion of Japan in the global development program could be a key factor in reducing the drug lag, making participation in phase I multiregional clinical trials (Ph. I MRCTs) an important consideration for oncology drug development in Japan. We aimed to investigate the factors associated with the inclusion of Japan in Ph. I MRCTs in oncology. METHODS We compared the trial design, target population, type of primary tested drug, trial conduct profile, and sponsor profile for Ph. I MRCTs with or without Japan conducted by the top 20 companies in more than two countries and started between January 1, 2011, and December 31, 2020. RESULTS One hundred and ninety-seven Ph. I MRCTs included Japan, and 697 did not. Detailed features of the Ph. I MRCTs in oncology were summarized, and several factors (trial design, target population, trial conduct profile, and sponsor profile) associated with inclusion of Japan in the Ph. I MRCTs were identified. CONCLUSIONS It is important for Japanese subsidiaries within global pharmaceutical companies to closely communicate with the headquarters based on medical practice and unmet needs in Japan to join global development from an early stage. In addition, further efforts to attract emerging biopharmaceutical companies to Japan from the regulatory and/or political perspectives would be needed, thereby preventing drug lag in Japan.
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Affiliation(s)
- Akio Maki
- Department of Clinical Medicine (Pharmaceutical Medicine), Graduate School of Pharmaceutical Sciences, Kitasato University, 5-9-1 Shirokane, Minato-ku, 108-8641, Tokyo, Japan.
| | - Mamoru Narukawa
- Department of Clinical Medicine (Pharmaceutical Medicine), Graduate School of Pharmaceutical Sciences, Kitasato University, 5-9-1 Shirokane, Minato-ku, 108-8641, Tokyo, Japan
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Casolino R, Beer PA, Chakravarty D, Davis MB, Malapelle U, Mazzarella L, Normanno N, Pauli C, Subbiah V, Turnbull C, Westphalen CB, Biankin AV. Interpreting and integrating genomic tests results in clinical cancer care: Overview and practical guidance. CA Cancer J Clin 2024; 74:264-285. [PMID: 38174605 DOI: 10.3322/caac.21825] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 11/07/2023] [Accepted: 11/27/2023] [Indexed: 01/05/2024] Open
Abstract
The last decade has seen rapid progress in the use of genomic tests, including gene panels, whole-exome sequencing, and whole-genome sequencing, in research and clinical cancer care. These advances have created expansive opportunities to characterize the molecular attributes of cancer, revealing a subset of cancer-associated aberrations called driver mutations. The identification of these driver mutations can unearth vulnerabilities of cancer cells to targeted therapeutics, which has led to the development and approval of novel diagnostics and personalized interventions in various malignancies. The applications of this modern approach, often referred to as precision oncology or precision cancer medicine, are already becoming a staple in cancer care and will expand exponentially over the coming years. Although genomic tests can lead to better outcomes by informing cancer risk, prognosis, and therapeutic selection, they remain underutilized in routine cancer care. A contributing factor is a lack of understanding of their clinical utility and the difficulty of results interpretation by the broad oncology community. Practical guidelines on how to interpret and integrate genomic information in the clinical setting, addressed to clinicians without expertise in cancer genomics, are currently limited. Building upon the genomic foundations of cancer and the concept of precision oncology, the authors have developed practical guidance to aid the interpretation of genomic test results that help inform clinical decision making for patients with cancer. They also discuss the challenges that prevent the wider implementation of precision oncology.
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Affiliation(s)
- Raffaella Casolino
- Wolfson Wohl Cancer Research Center, School of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - Philip A Beer
- Wolfson Wohl Cancer Research Center, School of Cancer Sciences, University of Glasgow, Glasgow, UK
- Hull York Medical School, York, UK
| | | | - Melissa B Davis
- Department of Surgery, Weill Cornell Medicine, New York City, New York, USA
| | - Umberto Malapelle
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Luca Mazzarella
- Laboratory of Translational Oncology and Division of Gastrointestinal Medical Oncology and Neuroendocrine Tumors IEO European Institute of Oncology, IRCCS, Milan, Italy
| | - Nicola Normanno
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori, IRCCS "Fondazione G. Pascale", Naples, Italy
| | - Chantal Pauli
- Department of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland
| | - Vivek Subbiah
- Sarah Cannon Research Institute, Nashville, Tennessee, USA
| | - Clare Turnbull
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- National Cancer Registration and Analysis Service, National Health Service (NHS) England, London, UK
- Cancer Genetics Unit, The Royal Marsden NHS Foundation Trust, London, UK
| | - C Benedikt Westphalen
- Department of Medicine III, Ludwig Maximilians University (LMU) Hospital Munich, Munich, Germany
- Comprehensive Cancer Center, LMU Hospital Munich, Munich, Germany
- German Cancer Consortium, LMU Hospital Munich, Munich, Germany
| | - Andrew V Biankin
- Wolfson Wohl Cancer Research Center, School of Cancer Sciences, University of Glasgow, Glasgow, UK
- West of Scotland Pancreatic Unit, Glasgow Royal Infirmary, Glasgow, UK
- South Western Sydney Clinical School, Liverpool, New South Wales, Australia
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Zhang S, Sun Y, Zhang L, Zhang F, Gao W. Thermoresponsive Polypeptide Fused L-Asparaginase with Mitigated Immunogenicity and Enhanced Efficacy in Treating Hematologic Malignancies. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2300469. [PMID: 37271878 PMCID: PMC10427413 DOI: 10.1002/advs.202300469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 05/17/2023] [Indexed: 06/06/2023]
Abstract
L-Asparaginase (ASP) is well-known for its excellent efficacy in treating hematological malignancies. Unfortunately, the intrinsic shortcomings of ASP, namely high immunogenicity, severe toxicity, short half-life, and poor stability, restrict its clinical usage. Poly(ethylene glycol) conjugation (PEGylation) of ASP is an effective strategy to address these issues, but it is not ideal in clinical applications due to complex chemical synthesis procedures, reduced ASP activity after conjugation, and pre-existing anti-PEG antibodies in humans. Herein, the authors genetically engineered an elastin-like polypeptide (ELP)-fused ASP (ASP-ELP), a core-shell structured tetramer predicted by AlphaFold2, to overcome the limitations of ASP and PEG-ASP. Notably, the unique thermosensitivity of ASP-ELP enables the in situ formation of a sustained-release depot post-injection with zero-order release kinetics over a long time. The in vitro and in vivo studies reveal that ASP-ELP possesses increased activity retention, improved stability, extended half-life, mitigated immunogenicity, reduced toxicity, and enhanced efficacy compared to ASP and PEG-ASP. Indeed, ASP-ELP treatment in leukemia or lymphoma mouse models of cell line-derived xenograft (CDX) shows potent anti-cancer effects with significantly prolonged survival. The findings also indicate that artificial intelligence (AI)-assisted genetic engineering is instructive in designing protein-polypeptide conjugates and may pave the way to develop next-generation biologics to enhance cancer treatment.
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Affiliation(s)
- Sanke Zhang
- Institute of Medical TechnologyPeking University Health Science CenterPeking University School and Hospital of StomatologyBiomedical Engineering DepartmentPeking UniversityPeking University International Cancer InstitutePeking University‐Yunnan Baiyao International Medical Research CenterBeijing100191China
| | - Yuanzi Sun
- Institute of Medical TechnologyPeking University Health Science CenterPeking University School and Hospital of StomatologyBiomedical Engineering DepartmentPeking UniversityPeking University International Cancer InstitutePeking University‐Yunnan Baiyao International Medical Research CenterBeijing100191China
| | - Longshuai Zhang
- Institute of Medical TechnologyPeking University Health Science CenterPeking University School and Hospital of StomatologyBiomedical Engineering DepartmentPeking UniversityPeking University International Cancer InstitutePeking University‐Yunnan Baiyao International Medical Research CenterBeijing100191China
| | - Fan Zhang
- Institute of Medical TechnologyPeking University Health Science CenterPeking University School and Hospital of StomatologyBiomedical Engineering DepartmentPeking UniversityPeking University International Cancer InstitutePeking University‐Yunnan Baiyao International Medical Research CenterBeijing100191China
| | - Weiping Gao
- Institute of Medical TechnologyPeking University Health Science CenterPeking University School and Hospital of StomatologyBiomedical Engineering DepartmentPeking UniversityPeking University International Cancer InstitutePeking University‐Yunnan Baiyao International Medical Research CenterBeijing100191China
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Chihara D, Lin R, Flowers CR, Finnigan SR, Cordes LM, Fukuda Y, Huang EP, Rubinstein LV, Nastoupil LJ, Ivy SP, Doroshow JH, Takebe N. Early drug development in solid tumours: analysis of National Cancer Institute-sponsored phase 1 trials. Lancet 2022; 400:512-521. [PMID: 35964611 PMCID: PMC9477645 DOI: 10.1016/s0140-6736(22)01390-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 06/23/2022] [Accepted: 07/18/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND The low expectation of clinical benefit from phase 1 cancer therapeutics trials might negatively affect patient and physician participation, study reimbursement, and slow the progress of oncology research. Advances in cancer drug development, meanwhile, might have favourably improved treatment responses; however, little comprehensive data exist describing the response and toxicity associated with phase 1 trials across solid tumours. The aim of the study is to evaluate the trend of toxicity and response in phase 1 trials for solid tumours over time. METHODS We analysed patient-level data from the Cancer Therapy Evaluation Program of the National Cancer Institute-sponsored investigator-initiated phase 1 trials for solid tumours, from Jan 1, 2000, to May 31, 2019. We assessed risks of treatment-related death (grade 5 toxicity ratings possibly, probably, or definitely attributable to treatment), all on-treatment deaths (deaths during protocol treatment regardless of attribution), grade 3-4 toxicity, and proportion of overall response (complete response and partial response) and complete response rate in the study periods of 2000-05, 2006-12, and 2013-2019, and evaluated their trends over time. We also analysed cancer type-specific and investigational agent-specific response, and analysed the trend of response in each cancer type over time. Univariate associations of overall response rates with patients' baseline characteristics (age, sex, performance status, BMI, albumin concentration, and haemoglobin concentration), enrolment period, investigational agents, and trial design were assessed using risk ratio based on the modified Poisson regression model. FINDINGS We analysed 465 protocols that enrolled 13 847 patients using 261 agents. 144 (31%) trials used a monotherapy and 321 (69%) used combination therapies. The overall treatment-related death rate was 0·7% (95% CI 0·5-0·8) across all periods. Risks of treatment-related deaths did not change over time (p=0·52). All on-treatment death risk during the study period was 8·0% (95% CI 7·6-8·5). The most common grade 3-4 adverse events were haematological; grade 3-4 neutropenia occurred in 2336 (16·9%) of 13 847 patients, lymphopenia in 1230 (8·9%), anaemia in 894 (6·5%), and thrombocytopenia in 979 (7·1%). The overall response rate for all trials during the study period was 12·2% (95% CI 11·5-12·8; 1133 of 9325 patients) and complete response rate was 2·7% (2·4-3·0; 249 of 9325). Overall response increased from 9·6% (95% CI 8·7-10·6) in 2000-05 to 18·0% (15·7-20·5) in 2013-19, and complete response rates from 2·5% (2·0-3·0) to 4·3% (3·2-5·7). Overall response rates for combination therapy were substantially higher than for monotherapy (15·8% [15·0-16·8] vs 3·5% [2·8-4·2]). The overall response by class of agents differed across diseases. Anti-angiogenesis agents were associated with higher overall response rate for bladder, colon, kidney and ovarian cancer. DNA repair inhibitors were associated with higher overall response rate in ovarian and pancreatic cancer. The rates of overall response over time differed markedly by disease; there were notable improvements in bladder, breast, and kidney cancer and melanoma, but no change in the low response of pancreatic and colon cancer. INTERPRETATION During the past 20 years, the response rate in phase 1 trials nearly doubled without an increase in the treatment-related death rate. However, there is significant heterogeneity in overall response by various factors such as cancer type, investigational agent, and trial design. Therefore, informed decision making is crucial for patients before participating in phase 1 trials. This study provides updated encouraging outcomes of modern phase 1 trials in solid tumours. FUNDING National Cancer Institute.
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Affiliation(s)
- Dai Chihara
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Medical Oncology Service, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Ruitao Lin
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Christopher R Flowers
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shanda R Finnigan
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lisa M Cordes
- Genitourinary Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yoko Fukuda
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Erich P Huang
- Biometric Research Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Larry V Rubinstein
- Biometric Research Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Loretta J Nastoupil
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - S Percy Ivy
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - James H Doroshow
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Naoko Takebe
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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