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Related Concept Videos

Toxicity Testing in Animals01:23

Toxicity Testing in Animals

Toxicity tests in animals are grounded on two main assumptions: first, the effects observed in laboratory animals can be extrapolated to humans, especially when adjusted for body surface area; second, high-dose exposure in animals is essential to identify potential human hazards from lower doses. This is based on the quantal dose-response concept, which faces the challenge of extrapolating results from relatively few test animals to much larger human populations. For example, a 0.01% incidence...
Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations01:15

Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations

Gentamicin, an aminoglycoside antibiotic, is commonly administered via intermittent intravenous infusion to treat severe infections. An intermittent one-hour infusion of gentamicin, administered at eight-hour intervals, allows for precise control of plasma drug concentrations, minimizing toxicity while ensuring therapeutic efficacy. Pharmacokinetic principles govern the dynamics of plasma concentrations and can be mathematically described using specific equations.The plasma drug concentration...
Determination of Multiple Dosing Parameters: Loading and Maintenance Doses01:25

Determination of Multiple Dosing Parameters: Loading and Maintenance Doses

A loading dose is an essential pharmacological strategy to rapidly achieve the target plasma drug concentration necessary for an immediate therapeutic effect. This approach is especially critical for drugs characterized by slow absorption or extended half-lives, where delaying therapeutic plasma levels could compromise treatment outcomes. By administering a loading dose, clinicians ensure a prompt onset of drug action, even for agents with complex pharmacokinetic profiles.Achieving steady-state...
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...
Toxic Reactions: Overview01:26

Toxic Reactions: Overview

When toxic substances penetrate the human body, they disseminate to various tissues, undergoing metabolic changes. This process yields reactive metabolites that may covalently bind with specific target molecules, resulting in toxicity.
Toxicity falls into two primary categories: local and systemic.
Local toxicity appears at the exposure site, such as protein denaturation caused by caustic substances.
In contrast, systemic toxicity requires the toxic agent's absorption and distribution,...
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...

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Updated: Jun 8, 2026

High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents (HPHC)
11:38

High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents (HPHC)

Published on: May 10, 2016

Continual reassessment method with multiple toxicity constraints.

Shing M Lee1, Bin Cheng, Ying Kuen Cheung

  • 1Department of Biostatistics, Columbia University, New York, NY 10032, USA. sml2114@columbia.edu

Biostatistics (Oxford, England)
|September 30, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for cancer clinical trials to find the right drug dose by considering multiple severe toxicities. The approach improves safety by better controlling overdose risks compared to existing methods.

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High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents (HPHC)
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A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans
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Area of Science:

  • Oncology
  • Biostatistics
  • Clinical Trial Design

Background:

  • Cancer clinical trials require careful dose-finding to balance efficacy and safety.
  • Severe toxicities are dose-limiting and require precise management.
  • Existing methods may not adequately differentiate between various toxicity types and grades.

Purpose of the Study:

  • To propose a novel extension of the continual reassessment method (CRM) for dose-finding in cancer trials.
  • To explicitly account for multiple toxicity constraints in dose escalation.
  • To improve the safety and accuracy of dose selection in oncology trials.

Main Methods:

  • Developed an extended CRM incorporating multiple toxicity grades and types.
  • Applied the novel method to a bortezomib trial in lymphoma patients.
  • Compared the performance against existing dose-finding methodologies through simulations.

Main Results:

  • The proposed methods demonstrated comparable accuracy in identifying the maximum tolerated dose (MTD).
  • Achieved superior control over erroneous allocation and overdose recommendations.
  • Effectively differentiated tolerance across various toxicity profiles.

Conclusions:

  • The novel CRM extension offers a safer and more precise approach to dose-finding in cancer trials.
  • This method enhances patient safety by minimizing risks associated with overdose.
  • The findings support the adoption of this advanced method in clinical trial design for oncology.