Stochastic modelling of the oral cancer proliferation and death in the presence of Thymoquinone as anticancer therapeutics
Oral cancer is one of the most commonly known cancer worldwide. Thymoquinone (TQ) an extract from Nigella sativa, has clinically been proven as an anticancer therapeutic agent for oral cancer due to its intrinsic pharmacological characteristics. Understanding the mechanisms of oral cancer proliferat...
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| Format: | Conference or Workshop Item |
| Language: | English |
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IOP Publishing
2021
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| Online Access: | http://umpir.ump.edu.my/id/eprint/35079/ http://umpir.ump.edu.my/id/eprint/35079/1/Tabassum_2021_J._Phys.__Conf._Ser._1988_012007.pdf |
| _version_ | 1848824683618631680 |
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| author | Tabassum, Shabana Norhayati, Rosli Wastuti Hidayati, Suriyah Solachuddin Jauhari, Arief Ichwan |
| author_facet | Tabassum, Shabana Norhayati, Rosli Wastuti Hidayati, Suriyah Solachuddin Jauhari, Arief Ichwan |
| author_sort | Tabassum, Shabana |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Oral cancer is one of the most commonly known cancer worldwide. Thymoquinone (TQ) an extract from Nigella sativa, has clinically been proven as an anticancer therapeutic agent for oral cancer due to its intrinsic pharmacological characteristics. Understanding the mechanisms of oral cancer proliferation and death in the presence of TQ is crucial so that the insight of the interaction of cancer cells and TQ can be discovered. Cancer cells in the presence of TQ is subjected to the uncontrolled factors of the environmental noise. Deterministic model is inadequate to explain this behaviour. Herein, a stochastic model is proposed to illustrate the dynamics of HSC-3 oral cancer cell lines in the presence of TQ. The deterministic model is perturbed with the noisy behaviour which then leads to the stochastic model. The model is simulated by using a four-stage stochastic Runge-Kutta (SRK4) method and the kinetic parameters are estimated by using the maximum likelihood estimation (MLE) method. The prediction quality of the model is measured by using root mean square error (RMSE). The low values of RMSE show the best-fit of the stochastic model. |
| first_indexed | 2025-11-15T03:16:56Z |
| format | Conference or Workshop Item |
| id | ump-35079 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:16:56Z |
| publishDate | 2021 |
| publisher | IOP Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-350792022-09-02T05:19:23Z http://umpir.ump.edu.my/id/eprint/35079/ Stochastic modelling of the oral cancer proliferation and death in the presence of Thymoquinone as anticancer therapeutics Tabassum, Shabana Norhayati, Rosli Wastuti Hidayati, Suriyah Solachuddin Jauhari, Arief Ichwan QA Mathematics RA Public aspects of medicine Oral cancer is one of the most commonly known cancer worldwide. Thymoquinone (TQ) an extract from Nigella sativa, has clinically been proven as an anticancer therapeutic agent for oral cancer due to its intrinsic pharmacological characteristics. Understanding the mechanisms of oral cancer proliferation and death in the presence of TQ is crucial so that the insight of the interaction of cancer cells and TQ can be discovered. Cancer cells in the presence of TQ is subjected to the uncontrolled factors of the environmental noise. Deterministic model is inadequate to explain this behaviour. Herein, a stochastic model is proposed to illustrate the dynamics of HSC-3 oral cancer cell lines in the presence of TQ. The deterministic model is perturbed with the noisy behaviour which then leads to the stochastic model. The model is simulated by using a four-stage stochastic Runge-Kutta (SRK4) method and the kinetic parameters are estimated by using the maximum likelihood estimation (MLE) method. The prediction quality of the model is measured by using root mean square error (RMSE). The low values of RMSE show the best-fit of the stochastic model. IOP Publishing 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/35079/1/Tabassum_2021_J._Phys.__Conf._Ser._1988_012007.pdf Tabassum, Shabana and Norhayati, Rosli and Wastuti Hidayati, Suriyah and Solachuddin Jauhari, Arief Ichwan (2021) Stochastic modelling of the oral cancer proliferation and death in the presence of Thymoquinone as anticancer therapeutics. In: Simposium Kebangsaan Sains Matematik ke-28 (SKSM28) , 29-18 July, 2021 , Kuantan. pp. 1-8., 1988 (012007). (Published) https://doi.org/10.1088/1742-6596/1988/1/012007 http://10.1088/1742-6596/1988/1/012007 |
| spellingShingle | QA Mathematics RA Public aspects of medicine Tabassum, Shabana Norhayati, Rosli Wastuti Hidayati, Suriyah Solachuddin Jauhari, Arief Ichwan Stochastic modelling of the oral cancer proliferation and death in the presence of Thymoquinone as anticancer therapeutics |
| title | Stochastic modelling of the oral cancer proliferation and death in the presence of Thymoquinone as anticancer therapeutics |
| title_full | Stochastic modelling of the oral cancer proliferation and death in the presence of Thymoquinone as anticancer therapeutics |
| title_fullStr | Stochastic modelling of the oral cancer proliferation and death in the presence of Thymoquinone as anticancer therapeutics |
| title_full_unstemmed | Stochastic modelling of the oral cancer proliferation and death in the presence of Thymoquinone as anticancer therapeutics |
| title_short | Stochastic modelling of the oral cancer proliferation and death in the presence of Thymoquinone as anticancer therapeutics |
| title_sort | stochastic modelling of the oral cancer proliferation and death in the presence of thymoquinone as anticancer therapeutics |
| topic | QA Mathematics RA Public aspects of medicine |
| url | http://umpir.ump.edu.my/id/eprint/35079/ http://umpir.ump.edu.my/id/eprint/35079/ http://umpir.ump.edu.my/id/eprint/35079/ http://umpir.ump.edu.my/id/eprint/35079/1/Tabassum_2021_J._Phys.__Conf._Ser._1988_012007.pdf |