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Abstract 2830: Understanding chemotherapy-induced replicative stress to identify rational combination therapies [Abstract]

  • Cells respond to DNA damage by activating complex signaling networks that decide cell fate, promoting not only DNA damage repair and survival but also cell death. We have developed a multi-scale computational model using the U2OS osteosarcoma cancer cell line that quantitatively links chemotherapy-induced DNA damage response signaling to cell fate. The computational model was trained and calibrated based on an extensive data set that comprises cell cycle distribution of the initial cell population, signaling data measured by western blot, and cell fate data in response to chemotherapy treatment measured by time-lapse microscopy. The resulting mechanistic model can predict the cellular responses to chemotherapy alone and in combination with targeted inhibitors of the DNA damage response pathway, which we were able to confirm experimentally. Computational models, like the one presented here, can be used to understand the molecular basis that defines the complex interplay between cellCells respond to DNA damage by activating complex signaling networks that decide cell fate, promoting not only DNA damage repair and survival but also cell death. We have developed a multi-scale computational model using the U2OS osteosarcoma cancer cell line that quantitatively links chemotherapy-induced DNA damage response signaling to cell fate. The computational model was trained and calibrated based on an extensive data set that comprises cell cycle distribution of the initial cell population, signaling data measured by western blot, and cell fate data in response to chemotherapy treatment measured by time-lapse microscopy. The resulting mechanistic model can predict the cellular responses to chemotherapy alone and in combination with targeted inhibitors of the DNA damage response pathway, which we were able to confirm experimentally. Computational models, like the one presented here, can be used to understand the molecular basis that defines the complex interplay between cell survival and cell death, as well as to rationally identify chemotherapy-potentiating drug combinations.show moreshow less

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Metadaten
Author:Ozan Alkan, Birgit Schoeberl, Millie Shah, Alexander Koshkaryev, Tim Heinemann, Daryl Drummond, Michael B. Yaffe, Andreas RaueORCiDGND
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/113166
ISSN:0008-5472OPAC
ISSN:1538-7445OPAC
Parent Title (English):Cancer Research
Publisher:American Association for Cancer Research (AACR)
Place of publication:Philadelphia, PA
Type:Article
Language:English
Year of first Publication:2018
Publishing Institution:Universität Augsburg
Release Date:2024/05/24
Volume:78
Issue:13, Supplement
First Page:2830
DOI:https://doi.org/10.1158/1538-7445.am2018-2830
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Modellierung und Simulation biologischer Prozesse
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit