Related Experiment Video

Updated: Feb 11, 2026

In Vivo Immunofluorescence Localization for Assessment of Therapeutic and Diagnostic Antibody Biodistribution in Cancer Research
08:53

In Vivo Immunofluorescence Localization for Assessment of Therapeutic and Diagnostic Antibody Biodistribution in Cancer Research

Published on: September 16, 2019

9.6K

Pharmacokinetics, Biodistribution, and Toxicity Evaluation of Anti-SEMA3A (F11) in In Vivo Models

Jaehyun Lee1,2, Donggeon Kim2, Eunju Son2

  • 1Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea.

Anticancer Research
|May 2, 2018
PubMed
Abstract

Insights

The F11 antibody targeting semaphorin 3A demonstrated significant anti-angiogenic and tumor-inhibitory effects in glioblastoma models. Its pharmacokinetic and biodistribution profiles support potential clinical applications.

Area of Science:

  • Immunology
  • Pharmacology
  • Oncology

Background:

  • Investigating the therapeutic potential of antibodies targeting specific molecular pathways in cancer.
  • Understanding the role of semaphorin 3A in tumor progression and angiogenesis.

Purpose of the Study:

  • To evaluate the pharmacokinetics (PK), tissue distribution, and toxicity of the F11 antibody against semaphorin 3A.
  • To explore the anti-angiogenic and tumor-inhibitory effects of F11 in preclinical models.

Main Methods:

  • Establishment of patient-derived xenograft (PDX) models using glioblastoma multiforme (GBM) cells.
  • Treatment of GBM PDX models with the F11 antibody.
  • Analysis of tumor growth, angiogenesis, PK, and tissue distribution.

Main Results:

  • F11 significantly reduced tumor growth and angiogenesis in GBM PDX models.
  • Linear pharmacokinetics were observed for F11 in serum, with a clearance of 4.63–7.12 ml/d/kg and a half-life of 6.9–9.4 days.
  • F11 exhibited expected tissue distribution in kidney, liver, and heart, with notable presence in the brain.

Conclusions:

  • The F11 antibody displays significant anti-angiogenic and tumor-inhibitory properties.
  • Pharmacokinetic and biodistribution data suggest F11's potential for clinical development in cancer therapy.
Keywords:
SEMA3ASemaphorin3Afully human antibodypharmacokineticstissue distributiontoxicity

More Related Videos

Rapid Evaluation of Toxicity of Chemical Compounds Using Zebrafish Embryos07:49

Rapid Evaluation of Toxicity of Chemical Compounds Using Zebrafish Embryos

Published on: August 25, 2019

11.6K
An Intestine/Liver Microphysiological System for Drug Pharmacokinetic and Toxicological Assessment08:59

An Intestine/Liver Microphysiological System for Drug Pharmacokinetic and Toxicological Assessment

Published on: December 3, 2020

8.7K

Related Concept Videos

Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
2.2K
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
573
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
279
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
369
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
250
Physiological Pharmacokinetic Models: Assumption with Protein Binding01:13

Physiological Pharmacokinetic Models: Assumption with Protein Binding

Physiological models with protein binding in pharmacokinetics offer a sophisticated approach to understanding drug disposition. These models consider drug-protein interactions, enabling them to effectively predict drug concentrations in different organs and tissues. This precision aids in accurate drug dosing, providing a significant advantage over conventional models. A key process within these models is equilibration, which ensures that drug concentrations achieve a steady state within the...
264