Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Dose Response Curve: Conventional Versus Nonmonotonic01:21

Dose Response Curve: Conventional Versus Nonmonotonic

The correlation between a drug's dosage and its impact on a biological system is a cornerstone of pharmacology and toxicology. Conventional dose–response curves, which include graded and quantal relationships, are key to this understanding. Graded dose–response curves depict the spectrum of a biological reaction to different doses within an individual, indicating that as the drug dosage increases, so does the intensity of the response. On the other hand, quantal dose–response relationships...
Pharmacodynamic Models: Direct Effect Model and Indirect Response Model01:29

Pharmacodynamic Models: Direct Effect Model and Indirect Response Model

Pharmacodynamic models are essential tools in understanding the relationship between drug concentrations and their effects on biological systems. By characterizing the dynamics of drug action, these models guide dose selection, optimize therapeutic efficacy, and inform the development of new drugs. Two major classes of pharmacodynamic models include direct effect and indirect response models.Direct Effect ModelsDirect effect models describe the immediate relationship between drug concentration...
Pharmacodynamic Models: Overview01:27

Pharmacodynamic Models: Overview

Pharmacodynamic (PD) responses describe the interaction between a drug and its biological target, culminating in a physiological effect. These responses can be classified into different types: continuous variables, such as blood glucose levels; categorical outcomes, like survival rates; and time-to-event metrics, such as disease progression. Understanding and modeling PD responses are critical for optimizing drug efficacy and safety.PD models describe the relationship between drug concentration...
Pharmacodynamic Models: Additive and Proportional Drug Effect Model01:09

Pharmacodynamic Models: Additive and Proportional Drug Effect Model

Drug response models describe how pharmacological agents interact with biological systems to produce measurable effects. Baseline responses are inherent physiological activities without a drug significantly influencing the observed pharmacological outcomes. Depending on the drug response model employed, these baseline responses may combine with the drug's effect in either an additive or proportional manner.Additive Drug Response ModelIn the additive model, the drug effect is independent of the...
Toxicokinetics: Overview01:21

Toxicokinetics: Overview

Studies that assess how a drug is absorbed, distributed, metabolized, and excreted (ADME) at toxic doses are termed toxicokinetics. Understanding toxicokinetics helps predict adverse drug reactions (ADRs) and manage toxicity in humans.Toxicokinetics differs from pharmacokinetics mainly in the dose levels studied, with toxicokinetics focusing on higher toxic doses. The kinetics at these levels can be non-linear due to altered physiological processes. Toxicodynamics examines the relationship...
Drug Toxicity: Dose-Dependent Reactions01:24

Drug Toxicity: Dose-Dependent Reactions

Drug toxicities can be stratified into pharmacological, pathological, or genotoxic based on their mechanisms. The incidence and severity of these toxicities generally increase with the drug's concentration in the body and exposure time.Pharmacological toxicity is evident when the therapeutic effects of drugs overshoot into adverse reactions in a predictable, dose-dependent manner. Central nervous system (CNS) depression from barbiturates is a classic example, with effects escalating from...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

ECCO Guidelines on Therapeutics in Ulcerative Colitis: Surgical Treatment.

Journal of Crohn's & colitis·2026
Same author

Model-based meta-analysis of individual patient data for the characterization of intravenous 5-fluorouracil population pharmacokinetics.

Cancer chemotherapy and pharmacology·2026
Same author

Using large language models to integrate international IBD guidelines: A retrieval-augmented generation approach.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland·2026
Same author

Fluorescence-guided ureter mapping in colorectal surgery: a systematic review of intraureteral ICG and emerging renal fluorophores.

Frontiers in surgery·2026
Same author

Review of Existing Approaches and Potential Role of Pharmacometrics in the Interpretation of Prognostic Circulating Serum Biomarkers in Advanced NSCLC.

Clinical and translational science·2026
Same author

Outcomes of damage control surgery in perforated sigmoid diverticulitis: a comparison before and after implementing a new treatment algorithm.

Updates in surgery·2026
Same journal

The use of natural language processing in predictive toxicology.

Expert opinion on drug metabolism & toxicology·2026
Same journal

An update on beta-lactam-beta-lactamase inhibitor combinations for the treatment of carbapenem-resistant gram-negative pathogens.

Expert opinion on drug metabolism & toxicology·2026
Same journal

Optimizing tamoxifen therapy in breast cancer: a narrative review of dose escalation in patients with CYP2D6 polymorphisms.

Expert opinion on drug metabolism & toxicology·2026
Same journal

Effect of concomitant rifampin and clarithromycin on elexacaftor-tezacaftor-ivacaftor using a physiologically based pharmacokinetic (PBPK) modeling approach.

Expert opinion on drug metabolism & toxicology·2026
Same journal

Gastrointestinal bleeding risk among antithrombotics users: a propensity score matched study of drug classes.

Expert opinion on drug metabolism & toxicology·2026
Same journal

Complex <i>in vitro</i> model developers' perspective on advanced hepatic <i>in vitro</i> culture methods for predictive drug safety.

Expert opinion on drug metabolism & toxicology·2026
See all related articles

Related Experiment Video

Updated: Jun 5, 2026

Irradiator Commissioning and Dosimetry for Assessment of LQ &alpha; and &beta; Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
06:20

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition

Published on: March 11, 2021

Dose-toxicity models in oncology.

Michel Adamina1, Markus Joerger

  • 1Cantonal Hospital St. Gallen, Department of Surgery, Rorschacherstrasse 95, 9007 St. Gallen, Switzerland. michel.adamina@gmail.com

Expert Opinion on Drug Metabolism & Toxicology
|January 19, 2011
PubMed
Summary
This summary is machine-generated.

Innovative dose-toxicity models enhance oncology drug development by minimizing patient risk and improving efficiency. Bayesian Continual Reassessment Method and Escalation With Overdose Control show superior performance over traditional Phase I trial designs.

More Related Videos

Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo
09:19

Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo

Published on: February 6, 2015

Live Imaging to Quantify Cellular Radiosensitivity in Patient-Derived Tumor Organoids
05:39

Live Imaging to Quantify Cellular Radiosensitivity in Patient-Derived Tumor Organoids

Published on: April 5, 2024

Related Experiment Videos

Last Updated: Jun 5, 2026

Irradiator Commissioning and Dosimetry for Assessment of LQ &alpha; and &beta; Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
06:20

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition

Published on: March 11, 2021

Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo
09:19

Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo

Published on: February 6, 2015

Live Imaging to Quantify Cellular Radiosensitivity in Patient-Derived Tumor Organoids
05:39

Live Imaging to Quantify Cellular Radiosensitivity in Patient-Derived Tumor Organoids

Published on: April 5, 2024

Area of Science:

  • Oncology
  • Clinical Pharmacology
  • Biostatistics

Background:

  • Determining safe and effective doses for new oncology drugs is challenging.
  • Traditional Phase I clinical trial models face limitations in managing toxicity and efficacy.
  • Innovative dose-toxicity models offer safer and more efficient approaches.

Purpose of the Study:

  • To provide a non-mathematical overview of dose-toxicity models in oncology.
  • To highlight recent clinical advances and the benefits of Bayesian frameworks.
  • To compare innovative models with traditional methods in Phase I trials.

Main Methods:

  • Literature review of dose-toxicity models in oncology.
  • Focus on current and innovative designs.
  • Emphasis on Bayesian approaches and recent clinical applications.

Main Results:

  • Innovative models, such as Bayesian Continual Reassessment Method and Escalation With Overdose Control, outperform traditional designs.
  • These models effectively handle patient heterogeneity and combination therapies.
  • They are suitable for assessing molecularly targeted agents.

Conclusions:

  • Innovative dose-toxicity models reduce clinical risk and enhance research efficiency.
  • Regulatory support encourages the adoption of these advanced designs.
  • Widespread use will advance investigational oncology and benefit patients.