Letter
Mathematical & Computational Biology
Olga Marchenko, Rajeshwari Sridhara, Qi Jiang, Elizabeth Barksdale, Yuki Ando, Dinesh De Alwis, Katie Brown, Laura Fernandes, Mark T. J. van Bussel, Qiuyi Choo, Michael Coory, Elizabeth Garrett-Mayer, Thomas Gwise, Lorenzo Hess, Rong Liu, Sumithra Mandrekar, Daniele Ouellet, Jose Pinheiro, Martin Posch, Nam Atiqur Rahman, Khadija Rerhou Rantell, Andrew Raven, Sarem Sarem, Suman Sen, Mirat Shah, Yuan Li Shen, Richard Simon, Marc Theoret, Ying Yuan, Richard Pazdur
Summary: This article summarizes the discussions of the ASA BIOP Section Open Forums held on March 18th, June 10th, and July 8th, 2022. The forums were organized by the ASA BIOP Statistical Methods in Oncology Scientific Working Group, the FDA Oncology Center of Excellence, and the LUNGevity Foundation, and involved various stakeholders in the field of cancer drug development. The discussions focused on strategies and designs of dose-optimization studies, highlighting the need for a paradigm shift in oncology drug development that improves dose optimization without delaying patient access to potentially effective treatments.
STATISTICS IN BIOPHARMACEUTICAL RESEARCH
(2023)
Article
Toxicology
C. J. Borgert, C. Fuentes, L. D. Burgoon
Summary: Regulatory toxicology aims to ensure the safe use of chemicals by identifying doses and conditions under which chemical toxicity does not occur, limiting chemical concentrations and exposures. Understanding the kinetic relationship is essential for determining the safe dose range, with the concept of KMD helping to identify the maximum dose at which organisms can efficiently metabolize and eliminate chemicals.
ARCHIVES OF TOXICOLOGY
(2021)
Article
Medicine, Legal
Damien van Berlo, Marjolijn Woutersen, Andre Muller, Marja Pronk, Jelle Vriend, Betty Hakkert
Summary: The concept of the Maximum Tolerated Dose (MTD) was originally introduced for carcinogenicity testing, but has been mistakenly applied to other toxicity endpoints in test guidelines and guidances. This results in tests being performed at doses too low to elicit toxicity, negatively impacting the reliability of studies and causing a waste of experimental animals.
REGULATORY TOXICOLOGY AND PHARMACOLOGY
(2022)
Article
Toxicology
Lyle D. Burgoon, Claudio Fuentes, Christopher J. Borgert
Summary: This paper introduces a new method for calculating the kinetically derived maximal dose (KMD) based on Bayesian methods and the Kneedle algorithm. The new approach converts toxicokinetic data to the Michaelis-Menten curve using Bayesian methods and uses the Kneedle algorithm to find the point at which the curve begins to taper off. This reshapes the KMD methodology and places it within the Michaelis-Menten framework, leveraging existing biochemical and pharmacological concepts.
ARCHIVES OF TOXICOLOGY
(2022)
Article
Medicine, Legal
Anne E. Loccisano, Elaine Freeman, Brandy Riffle, Adriana Doi, Markus Frericks, Ivana Fegert, Eric Fabian
Summary: The study evaluated the toxicokinetic properties of afidopyropen and its metabolites in rats, finding linear and nonlinear pharmacokinetics at specific dose levels. Despite attempts to identify a point of inflection, a defined point could not be determined.
REGULATORY TOXICOLOGY AND PHARMACOLOGY
(2021)
Article
Clinical Neurology
Yolanda Silva Blas, Michael N. Diringer, Benjamin Lo, Jaime Masjuan, Natalia Perez de la Ossa, Matthew Cardinal, Florence Yong, Tong Zhu, Gang Li, Steven Arkin
Summary: This study identified the maximum tolerated dose of PF-05230907 in subjects with acute intracerebral hemorrhage and evaluated its overall safety and tolerability. Thrombotic events were only observed at the highest dose level tested, with the maximum tolerated dose estimated to be 24 µg/kg.
Article
Health Care Sciences & Services
Masahiro Kojima
Summary: This study proposes an adaptive design for early identification of maximum tolerated dose (MTD) in order to accelerate dose-finding trials. The identification of MTD is determined adaptively using Bayesian analysis, leading to a shortened study period.
BMC MEDICAL RESEARCH METHODOLOGY
(2022)
Article
Veterinary Sciences
Ling Wang, Jiongjie He, Lianghong Wu, Xueqin Wu, Baocheng Hao, Shengyi Wang, Dongan Cui
Summary: Postpartum uterine diseases in dairy cows, such as retained placenta (RP) and puerperal metritis (PM), can lead to decreased fertility. Antibiotics are commonly used to treat retained placenta, but their efficacy is low. Herbal medicines, such as Guixiong Yimu San (GYS), have been proposed as alternative approaches. This study evaluated the toxicity of GYS in mice and rats and found no adverse effects, suggesting that it could be a practical treatment for retained placenta.
VETERINARY SCIENCES
(2023)
Article
Oncology
Jun Jia, Jing Yu, Zhiwei Sun, Ying Yang, Chuanling Liu, Yanjie Xiao, Xiaodong Zhang
Summary: This study demonstrated that a daily dose of 500 mg apatinib when combined with irinotecan is the optimal dose for treating esophageal squamous cell carcinoma. Common adverse events included leukopenia, fatigue, anemia, and diarrhea, with a disease control rate of 66.7% in evaluable cases.
TRANSLATIONAL CANCER RESEARCH
(2021)
Article
Oncology
I Drami, E. T. Pring, L. Gould, G. Malietzis, M. Naghibi, T. Athanasiou, R. Glynne-Jones, J. T. Jenkins
Summary: This study focused on assessing the impact of muscle mass on dose-limiting toxicity among different chemotherapy regimens used in colorectal cancer patients. Findings suggest the need for more prospective studies to evaluate the role of body composition analysis in clinical practice for early identification of patients, personalized chemotherapy dosing, and early treatment optimization.
Article
Medicine, General & Internal
Ricky Nelles, Kirk Morris, Ashleigh Scott, Glenn Kennedy
Summary: This study reviews the treatment outcomes of 13 consecutive DHL patients treated with DA-EPOCH-R and suggests that this regimen is well tolerated and effective. It is recommended as an initial treatment option for medically fit patients.
INTERNAL MEDICINE JOURNAL
(2023)
Article
Statistics & Probability
Keying Ye, Xiaobin Yang, Ying Ji, Min Wang
Summary: This study proposes an overall MTD framework that includes different toxicity levels classifications for a single toxicity outcome, investigates the mechanism of determining MTD and conducts simulation studies, while also applying the concepts of CRM and Bayesian analysis.
STATISTICAL THEORY AND RELATED FIELDS
(2021)
Article
Pharmacology & Pharmacy
Mahogany Oldham, Anna Conrey, Corinne Pittman, Cameron Fisher, Simone Hargrett, Kamille West, Mary Jackson, Staci Martin, Matthew M. Hsieh, Neal Jeffries, Mihailo Kaplarevic, Dachelle Johnson, Purevdorj Olkhanud, Courtney D. Fitzhugh
Summary: A computer program has been developed to reliably titrate hydroxyurea to maximum tolerated dose, which has shown to increase fetal hemoglobin levels in patients with sickle cell disease. Further studies are needed to evaluate the program's effectiveness.
JOURNAL OF CLINICAL PHARMACOLOGY
(2021)
Article
Mathematical & Computational Biology
Ami Takahashi, Taiji Suzuki
Summary: The development of combination therapies is common due to potential synergistic benefits for resistant patients. Traditional assumptions about toxicity increasing with dose levels cannot be applied in drug combination trials, leading to the proposal of a Bayesian optimization design for identifying a single maximum tolerated dose combination. The proposed design shows promise in terms of correct selection probabilities and dose allocations, making it a potentially powerful tool for finding maximum tolerated dose combinations.
INTERNATIONAL JOURNAL OF BIOSTATISTICS
(2022)
Article
Statistics & Probability
Soyoung Jeon, Dongjae Kim
Summary: Phase I clinical trial is the first step in experimenting on humans with new drugs. This paper discusses methods for determining the maximum tolerated dose and compares the SM3, NM, Rim, J3, and BSM methods. The results show that the BSM method estimates the MTD closest to the target toxicity probability, and the J3 method requires the least number of subjects.
KOREAN JOURNAL OF APPLIED STATISTICS
(2022)
Article
Hematology
D. Hu, W. Zhou, F. Wang, S. M. Shu, L. L. Fan, J. He, P. Wang, Y. L. He, W. Du, J. H. Zhang, J. X. Duan, L. Sun, J. Zheng, X. Q. Li, H. Y. Li, X. L. Feng, S. A. Huang
INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY
(2016)
Article
Oncology
Xiaolan Feng, Haocheng Li, Elizabeth N. Kornaga, Michelle Dean, Susan P. Lees-Miller, Karl Riabowol, Anthony M. Magliocco, Don Morris, Peter H. Watson, Emeka K. Enwere, Gwyn Bebb, Alexander Paterson
Article
Multidisciplinary Sciences
Satbir Thakur, Xiaolan Feng, Zhong Qiao Shi, Amudha Ganapathy, Manoj Kumar Mishra, Peter Atadja, Don Morris, Karl Riabowol
Article
Cell Biology
P. Bose, S. Thakur, S. Thalappilly, B. Y. Ahn, S. Satpathy, X. Feng, S. W. Kim, K. Riabowol
CELL DEATH & DISEASE
(2013)
Article
Medicine, Research & Experimental
Wen Du, Jing He, Wei Zhou, Simin Shu, Juan Li, Wei Liu, Yun Deng, Cong Lu, Shengyan Lin, Yaokun Ma, Yanli He, Jine Zheng, Jiang Zhu, Lijuan Bai, Xiaoqing Li, Junxia Yao, Dan Hu, Shengqing Gu, Huiyu Li, Anyuan Guo, Shiang Huang, Xiaolan Feng, Dong Hu
JOURNAL OF TRANSLATIONAL MEDICINE
(2019)
Article
Oncology
A. de Bruyns, H. Li, A. MacNeil, C. Simmons, P. Clarkson, K. Goddard, P. L. Munk, J. J. Hart, C. Holloway, P. Truong, X. Feng
Article
Oncology
Nathalie LeVasseur, Julia Sun, David Fenton, Simon Baxter, Angela Chan, Sarah Roberts, Xiaolan Feng, Caroline Lohrisch, Karen Gelmon, Tamara Shenkier, Stephen K. Chia
Summary: The study shows that the 21-gene Recurrence Score test has a significant impact on adjuvant treatment decisions for breast cancer patients, with 52% of patients experiencing treatment changes and a 45% reduction in chemotherapy use.
CLINICAL BREAST CANCER
(2022)
Article
Oncology
Tiffany Patterson, Jocelyn Chai, Haocheng Li, Angeline de bruyns, Chantell Cleversey, Cheng-Han Lee, Steven Yip, Christine Simmons, Jason Hart, Phil Pollock, Caroline Holloway, Pauline Truong, Xiaolan Feng
Summary: The study found that oncologists in British Columbia have maintained a stable use of MA in localized GIST treatment, but there has been an increase in its use in the metastatic setting after 2015, potentially due to evolving sequencing technology, expansion of metastatic treatment options, and enhanced awareness of MA.
JOURNAL OF GASTROINTESTINAL CANCER
(2022)
Article
Oncology
Tiffany Patterson, Haocheng Li, Jocelyn Chai, Angeline Debruyns, Christine Simmons, Jason Hart, Phil Pollock, Caroline L. Holloway, Pauline T. Truong, Xiaolan Feng
Summary: This study examines the use of surgery and non-surgical locoregional treatments (LRT) in patients with metastatic gastrointestinal stromal tumor (GIST). The findings suggest that surgery and LRT may improve survival in selected patients with limited metastatic disease or partial disease progression. This approach, although not considered a standard of care, may be beneficial for some patients with mGIST.
Article
Oncology
Taylor Kandler, Eliane Cortez, Lani Clinton, Amanda Hemmerich, Osama Ahmed, Ralph Wong, Taylor Forns, Andrea J. MacNeill, Trevor D. Hamilton, Mohammadali Khorasani, Xiaolan Feng
Summary: Malignant gastrointestinal neuroectodermal tumor (GNET) is an ultra-rare soft tissue sarcoma that often goes misdiagnosed and currently lacks standard treatment options. This study reports on 3 cases of metastatic GNET with different clinical courses, supporting the notion that GNET is a spectrum of diseases with varying biology and prognosis. Surgical management may be appropriate for GNET with an indolent nature in cases of recurrent or metastatic disease. The response to systemic treatments, including chemotherapy and targeted therapies, is variable and likely influenced by the heterogeneous biology of GNET.
Article
Oncology
Xiaolan Feng, Erin Pleasance, Eric Y. Zhao, Tony Ng, Jasleen K. Grewal, Nissreen Mohammad, Sara K. Taylor, Christine Simmons, Amirrtha Srikanthan, S. Rod Rassekh, Rebecca Deyell, Jennifer Rauw, Meg Knowling, Kong Khoo, Ursula Lee, Krista Noonan, Jason Hart, R. Petter Tonseth, Yaoqing Shen, Emma Titmuss, Martin Jones, Melika Bonakdar, Caralyn Reisle, Greg A. Taylor, Simon Chan, Karen Mungall, Eric Chuah, Yongjun Zhao, Andrew Mungall, Richard Moore, Howard Lim, Daniel J. Renouf, Karen Gelmon, Stephen Yip, Steven J. M. Jones, Marco Marra, Janessa Laskin
JCO PRECISION ONCOLOGY
(2019)
Article
Oncology
Xiaolan Feng, Haocheng Li, Michelle Dean, Holly E. Wilson, Elizabeth Kornaga, Emeka K. Enwere, Patricia Tang, Alexander Paterson, Susan P. Lees-Miller, Anthony M. Magliocco, Gwyn Bebb
BREAST CANCER RESEARCH
(2015)
Article
Oncology
Xiaolan Feng, Liena Zhao, Guangming Han, Moosa Khalil, Francis Green, Travis Ogilvie, Vanessa Krause
Article
Medicine, Research & Experimental
Hui-li Wong, Kevin C. Yang, Yaoqing Shen, Eric Y. Zhao, Jonathan M. Loree, Hagen F. Kennecke, Steve E. Kalloger, Joanna M. Karasinska, Howard J. Lim, Andrew J. Mungall, Xiaolan Feng, Janine M. Davies, Kasmintan Schrader, Chen Zhou, Aly Karsan, Steven J. M. Jones, Janessa Laskin, Marco A. Marra, David F. Schaeffer, Sharon M. Gorski, Daniel J. Renouf
COLD SPRING HARBOR MOLECULAR CASE STUDIES
(2018)