Intelligent Modelling for Benign Tumour Growth with Cell-Cell and Cell-Matrix Adhesion and Movement

N. Kazmi, M. A. Hossain, R. Phillips

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Tumours can be benign or malignant based upon their behavior, growth and invasion capability. Various mathematical models have been developed to capture different dynamics of tumours. Our aim was to model the growth dynamics of the benign tumour at cellular level with and without the extracellular matrix (ECM), cell-cell and cell-matrix adhesion and finally the movement of the cells. We developed an artificial Neural Network based intelligent model to demonstrate the tumour growth dynamics and cell movement and compression based upon its adhesion capabilities. In our model, we considered the heterogeneity in cell proliferation, death, degradation of the matrix and cell movement. We counted the total number of tumour cells at the end of every phase and presented it in the form of tumour growth curve. Then we compared the invasive distance tumour covered in these three phases. Finally, we compared the proposed growth curve model with the growth curve of DLD1 colorectal cancer cell line and achieved almost similar results. It is worth mentioning that the approach is new and so far there is no reported work of the similar form.

LanguageEnglish
Title of host publicationProceedings of the 10th IEEE International Conference on Computer and Information Technology (CIT), (Bradford, 29 June - 1 July 2010)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages480-486
Number of pages7
ISBN (Electronic)9781424475483
ISBN (Print)9781424475476
DOIs
Publication statusPublished - 16 Sep 2010
Externally publishedYes
Event10th IEEE International Conference on Computer Information and Technology
- University of Bradford, Bradford, United Kingdom
Duration: 29 Jun 20101 Jul 2010
Conference number: 10
http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=7133 (Link to Conference Information )

Conference

Conference10th IEEE International Conference on Computer Information and Technology
Abbreviated titleCIT 2010
CountryUnited Kingdom
CityBradford
Period29/06/101/07/10
Internet address

Fingerprint

Tumors
Adhesion
Cells
Cell proliferation
Compaction
Mathematical models
Neural networks
Degradation

Cite this

Kazmi, N., Hossain, M. A., & Phillips, R. (2010). Intelligent Modelling for Benign Tumour Growth with Cell-Cell and Cell-Matrix Adhesion and Movement. In Proceedings of the 10th IEEE International Conference on Computer and Information Technology (CIT), (Bradford, 29 June - 1 July 2010) (pp. 480-486). [5578141] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIT.2010.107
Kazmi, N. ; Hossain, M. A. ; Phillips, R. / Intelligent Modelling for Benign Tumour Growth with Cell-Cell and Cell-Matrix Adhesion and Movement. Proceedings of the 10th IEEE International Conference on Computer and Information Technology (CIT), (Bradford, 29 June - 1 July 2010). Institute of Electrical and Electronics Engineers Inc., 2010. pp. 480-486
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Kazmi, N, Hossain, MA & Phillips, R 2010, Intelligent Modelling for Benign Tumour Growth with Cell-Cell and Cell-Matrix Adhesion and Movement. in Proceedings of the 10th IEEE International Conference on Computer and Information Technology (CIT), (Bradford, 29 June - 1 July 2010)., 5578141, Institute of Electrical and Electronics Engineers Inc., pp. 480-486, 10th IEEE International Conference on Computer Information and Technology
, Bradford, United Kingdom, 29/06/10. https://doi.org/10.1109/CIT.2010.107

Intelligent Modelling for Benign Tumour Growth with Cell-Cell and Cell-Matrix Adhesion and Movement. / Kazmi, N.; Hossain, M. A.; Phillips, R.

Proceedings of the 10th IEEE International Conference on Computer and Information Technology (CIT), (Bradford, 29 June - 1 July 2010). Institute of Electrical and Electronics Engineers Inc., 2010. p. 480-486 5578141.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - Tumours can be benign or malignant based upon their behavior, growth and invasion capability. Various mathematical models have been developed to capture different dynamics of tumours. Our aim was to model the growth dynamics of the benign tumour at cellular level with and without the extracellular matrix (ECM), cell-cell and cell-matrix adhesion and finally the movement of the cells. We developed an artificial Neural Network based intelligent model to demonstrate the tumour growth dynamics and cell movement and compression based upon its adhesion capabilities. In our model, we considered the heterogeneity in cell proliferation, death, degradation of the matrix and cell movement. We counted the total number of tumour cells at the end of every phase and presented it in the form of tumour growth curve. Then we compared the invasive distance tumour covered in these three phases. Finally, we compared the proposed growth curve model with the growth curve of DLD1 colorectal cancer cell line and achieved almost similar results. It is worth mentioning that the approach is new and so far there is no reported work of the similar form.

AB - Tumours can be benign or malignant based upon their behavior, growth and invasion capability. Various mathematical models have been developed to capture different dynamics of tumours. Our aim was to model the growth dynamics of the benign tumour at cellular level with and without the extracellular matrix (ECM), cell-cell and cell-matrix adhesion and finally the movement of the cells. We developed an artificial Neural Network based intelligent model to demonstrate the tumour growth dynamics and cell movement and compression based upon its adhesion capabilities. In our model, we considered the heterogeneity in cell proliferation, death, degradation of the matrix and cell movement. We counted the total number of tumour cells at the end of every phase and presented it in the form of tumour growth curve. Then we compared the invasive distance tumour covered in these three phases. Finally, we compared the proposed growth curve model with the growth curve of DLD1 colorectal cancer cell line and achieved almost similar results. It is worth mentioning that the approach is new and so far there is no reported work of the similar form.

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Kazmi N, Hossain MA, Phillips R. Intelligent Modelling for Benign Tumour Growth with Cell-Cell and Cell-Matrix Adhesion and Movement. In Proceedings of the 10th IEEE International Conference on Computer and Information Technology (CIT), (Bradford, 29 June - 1 July 2010). Institute of Electrical and Electronics Engineers Inc. 2010. p. 480-486. 5578141 https://doi.org/10.1109/CIT.2010.107