Numerical and Biological Modeling Approach in the Analysis of the Cancer Viability and Apoptosis
Autori
Virijević, KatarinaŽivanović, Marko
Gazdić Janković, Marina
Ramović Hamzagić, Amra
Milivojević, Nevena
Pecić, Katarina
Šeklić, Dragana
Jovanović, Milena
Kastratović, Nikolina
Mirić, Ana
Đukić, Tijana
Petrović, Ivica
Jurišić, Vladimir
Ljujić, Biljana
Filipović, Nenad
Ostala autorstva
Morić, IvanaĐorđević, Valentina
Konferencijski prilog (Objavljena verzija)
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© 2023 Institute of Molecular Genetics and Genetic Engineering, University of Belgrade
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
Biomedicine is a multidisciplinary branch of science that requires a clear approach to the
study and analysis of various life processes necessary for a deeper understanding of
human health. This research focuses on the use of numerical simulations with the aim of an
improved comprehension of cancer viability and apoptosis during treatment with commercial
chemotherapeutic agents. In recent times, the usage of numerical models was successfully
applied to predict the behavior of tumors. This study includes a wide range of numerical results
that have been obtained by examining cell viability in real-time, determining the type of cell
death and the genetic factors that control these processes. The results of the in vitro test were
used to develop a numerical model that provides a new perspective on the proposed problem.
In this study, colon, and breast cancer cell lines (HCT-116 and MDA-MB-231), as well as healthy
lung fibroblast cell line (MRC-5) were treated with commercial chem...otherapeutic agents. The
obtained results showed a decrease in viability and the occurrence of predominantly late
apoptosis upon treatment, as well as a strong correlation between parameters. A mathematical
model was developed and used to gain a better understanding of the investigated processes.
This method can accurately simulate the behavior of cancer cells and reliably predict their
growth.
Ključne reči:
numerical modeling / cancer / cell viability / apoptosis / gene expression / cytostaticsIzvor:
4th Belgrade Bioinformatics Conference, 2023, 4, 70-70Izdavač:
- Belgrade : Institute of molecular genetics and genetic engineering
Finansiranje / projekti:
- Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200378 (Institut za informacione tehnologije, Kragujevac) (RS-MESTD-inst-2020-200378)
- The authors are grateful for the support of the European Union’s Horizon 2020 research and innovation programme (grant agreement No 952603 (SGABU)
Napomena:
- Book of abstract: 4th Belgrade Bioinformatics Conference, June 19-23, 2023
Kolekcije
Institucija/grupa
Institut za molekularnu genetiku i genetičko inženjerstvoTY - CONF AU - Virijević, Katarina AU - Živanović, Marko AU - Gazdić Janković, Marina AU - Ramović Hamzagić, Amra AU - Milivojević, Nevena AU - Pecić, Katarina AU - Šeklić, Dragana AU - Jovanović, Milena AU - Kastratović, Nikolina AU - Mirić, Ana AU - Đukić, Tijana AU - Petrović, Ivica AU - Jurišić, Vladimir AU - Ljujić, Biljana AU - Filipović, Nenad PY - 2023 UR - https://belbi.bg.ac.rs/ UR - https://imagine.imgge.bg.ac.rs/handle/123456789/2010 AB - Biomedicine is a multidisciplinary branch of science that requires a clear approach to the study and analysis of various life processes necessary for a deeper understanding of human health. This research focuses on the use of numerical simulations with the aim of an improved comprehension of cancer viability and apoptosis during treatment with commercial chemotherapeutic agents. In recent times, the usage of numerical models was successfully applied to predict the behavior of tumors. This study includes a wide range of numerical results that have been obtained by examining cell viability in real-time, determining the type of cell death and the genetic factors that control these processes. The results of the in vitro test were used to develop a numerical model that provides a new perspective on the proposed problem. In this study, colon, and breast cancer cell lines (HCT-116 and MDA-MB-231), as well as healthy lung fibroblast cell line (MRC-5) were treated with commercial chemotherapeutic agents. The obtained results showed a decrease in viability and the occurrence of predominantly late apoptosis upon treatment, as well as a strong correlation between parameters. A mathematical model was developed and used to gain a better understanding of the investigated processes. This method can accurately simulate the behavior of cancer cells and reliably predict their growth. PB - Belgrade : Institute of molecular genetics and genetic engineering C3 - 4th Belgrade Bioinformatics Conference T1 - Numerical and Biological Modeling Approach in the Analysis of the Cancer Viability and Apoptosis EP - 70 SP - 70 VL - 4 UR - https://hdl.handle.net/21.15107/rcub_imagine_2010 ER -
@conference{ author = "Virijević, Katarina and Živanović, Marko and Gazdić Janković, Marina and Ramović Hamzagić, Amra and Milivojević, Nevena and Pecić, Katarina and Šeklić, Dragana and Jovanović, Milena and Kastratović, Nikolina and Mirić, Ana and Đukić, Tijana and Petrović, Ivica and Jurišić, Vladimir and Ljujić, Biljana and Filipović, Nenad", year = "2023", abstract = "Biomedicine is a multidisciplinary branch of science that requires a clear approach to the study and analysis of various life processes necessary for a deeper understanding of human health. This research focuses on the use of numerical simulations with the aim of an improved comprehension of cancer viability and apoptosis during treatment with commercial chemotherapeutic agents. In recent times, the usage of numerical models was successfully applied to predict the behavior of tumors. This study includes a wide range of numerical results that have been obtained by examining cell viability in real-time, determining the type of cell death and the genetic factors that control these processes. The results of the in vitro test were used to develop a numerical model that provides a new perspective on the proposed problem. In this study, colon, and breast cancer cell lines (HCT-116 and MDA-MB-231), as well as healthy lung fibroblast cell line (MRC-5) were treated with commercial chemotherapeutic agents. The obtained results showed a decrease in viability and the occurrence of predominantly late apoptosis upon treatment, as well as a strong correlation between parameters. A mathematical model was developed and used to gain a better understanding of the investigated processes. This method can accurately simulate the behavior of cancer cells and reliably predict their growth.", publisher = "Belgrade : Institute of molecular genetics and genetic engineering", journal = "4th Belgrade Bioinformatics Conference", title = "Numerical and Biological Modeling Approach in the Analysis of the Cancer Viability and Apoptosis", pages = "70-70", volume = "4", url = "https://hdl.handle.net/21.15107/rcub_imagine_2010" }
Virijević, K., Živanović, M., Gazdić Janković, M., Ramović Hamzagić, A., Milivojević, N., Pecić, K., Šeklić, D., Jovanović, M., Kastratović, N., Mirić, A., Đukić, T., Petrović, I., Jurišić, V., Ljujić, B.,& Filipović, N.. (2023). Numerical and Biological Modeling Approach in the Analysis of the Cancer Viability and Apoptosis. in 4th Belgrade Bioinformatics Conference Belgrade : Institute of molecular genetics and genetic engineering., 4, 70-70. https://hdl.handle.net/21.15107/rcub_imagine_2010
Virijević K, Živanović M, Gazdić Janković M, Ramović Hamzagić A, Milivojević N, Pecić K, Šeklić D, Jovanović M, Kastratović N, Mirić A, Đukić T, Petrović I, Jurišić V, Ljujić B, Filipović N. Numerical and Biological Modeling Approach in the Analysis of the Cancer Viability and Apoptosis. in 4th Belgrade Bioinformatics Conference. 2023;4:70-70. https://hdl.handle.net/21.15107/rcub_imagine_2010 .
Virijević, Katarina, Živanović, Marko, Gazdić Janković, Marina, Ramović Hamzagić, Amra, Milivojević, Nevena, Pecić, Katarina, Šeklić, Dragana, Jovanović, Milena, Kastratović, Nikolina, Mirić, Ana, Đukić, Tijana, Petrović, Ivica, Jurišić, Vladimir, Ljujić, Biljana, Filipović, Nenad, "Numerical and Biological Modeling Approach in the Analysis of the Cancer Viability and Apoptosis" in 4th Belgrade Bioinformatics Conference, 4 (2023):70-70, https://hdl.handle.net/21.15107/rcub_imagine_2010 .