CPL - Chalmers Publication Library
| Utbildning | Forskning | Styrkeområden | Om Chalmers | In English In English Ej inloggad.

Extending the Tumor Static Concentration curve to average doses - a combination therapy example using radiation therapy

Tim Cardilin (Institutionen för matematiska vetenskaper, matematik) ; Astrid Zimmermann ; Mats Jirstrand (Institutionen för biologi och bioteknik, Systembiologi ; Institutionen för signaler och system, Reglerteknik) ; Joachim Almquist (Institutionen för biologi och bioteknik, Systembiologi) ; Samer El Bawab ; Johan Gabrielsson
Proceedings of the 25th Annual meeting of the Population Approach Group in Europe, PAGE2016 (2016)
[Konferensbidrag, poster]

Objectives: The recently developed concept of Tumor Static Concentration (TSC) is a valuable modeling tool for the quantitative analysis of combination therapies [2]. Here, we set out to extend TSC to situations where (average) doses are known but drug exposure data is not available. Methods: Data consisted of Patient-Derived xenografts from combination therapy studies using ionizing radiation and a probe compound. Modelling was based on a Tumor Growth Inhibition (TGI) model [3] modified for radiation treatment. Model parameters were estimated using a mixed-effects approach implemented in Mathematica 10 [1]. A TSC-like curve was derived from tumor stasis assumptions where one of the plasma concentrations was replaced with average radiation dose over time. Results: Drug exposure of the probe compound was successfully modeled using a one compartment exposure model. Initial attempts to model the combination efficacy data were not able to explain the effect from the combination arm. The TGI model was subsequently modified to account for potential interaction effects between the probe compound and radiation treatments. The radiation treatment-modified TGI model was then used to derive a TSC-like curve that determines all pairs of radiation doses and drug concentrations for which the tumor is kept in stasis. This curve exhibits significant curvature, reflecting the synergistic effects of administering the radiation therapy and drug together. The TSC-like curve can be used to improve the administration schedule of the treatment. Conclusions: A model-based method for evaluation of anticancer combination therapy was extended from the use of tumor static plasma concentrations to also include average drug doses. Although used for radiation therapy in this example, the method can also be applied for regular compounds when drug exposure data is not available.



Den här publikationen ingår i följande styrkeområden:

Läs mer om Chalmers styrkeområden  

Denna post skapades 2016-10-10. Senast ändrad 2016-10-10.
CPL Pubid: 243111

 

Läs direkt!


Länk till annan sajt (kan kräva inloggning)


Institutioner (Chalmers)

Institutionen för matematiska vetenskaper, matematik (2005-2016)
Institutionen för biologi och bioteknik, Systembiologi
Institutionen för signaler och system, Reglerteknik

Ämnesområden

Livsvetenskaper
Tillämpad matematik
Informatik och systemvetenskap
Farmakologi och toxikologi

Chalmers infrastruktur