Statistical analysis of combined dose effects for experiments with two agents

Artif Intell Med. 2006 May;37(1):65-71. doi: 10.1016/j.artmed.2005.01.011. Epub 2006 Feb 21.

Abstract

Objective: Classical isobologram analysis offers a way for analysing combined drug effects in dose-response experiments statistically. The aim is to determine as to whether two agents or drugs can be considered synergistic or antagonistic in their effect.

Methods and materials: We describe a MATLAB-based software tool for automated isobologram analysis and computation of combination indices. Statistical issues like estimation together with respective confidence intervals are of key interest. Additional predictive values are computed to facilitate a more easy interpretation of obtained results.

Results: Analysis of an experimental and a real in vitro data set demonstrates the approach and the way of interpreting results. Results are summarized in two ways: tables and graphical displays containing classical isobolograms.

Conclusion: Our package supplements the clinical software-equipment and is a tool for automatic evaluation of combined dose-response experiments in experimental oncology in the urologic clinic.

MeSH terms

  • Antineoplastic Agents / pharmacology*
  • Antineoplastic Agents / therapeutic use
  • Cell Line, Tumor
  • Cell Survival / drug effects
  • Data Interpretation, Statistical*
  • Docetaxel
  • Dose-Response Relationship, Drug*
  • Drug Interactions*
  • Fenretinide / pharmacology
  • Humans
  • Inhibitory Concentration 50
  • Logistic Models
  • Male
  • Models, Statistical
  • Prostatic Neoplasms / drug therapy
  • Software*
  • Taxoids / pharmacology

Substances

  • Antineoplastic Agents
  • Taxoids
  • Docetaxel
  • Fenretinide