An improved model of tumour-immune system interaction

, , & (2012) An improved model of tumour-immune system interaction. In Wahyuni, S (Ed.) Proceedings of the 6th SEAMS-GMU International Conference on Mathematics and Its Applications. Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada, Indonesia, pp. 895-904.

[img]
Preview
Accepted Version (PDF 332kB)
Fullpaper_Conference.pdf.

View at publisher

Description

The immune system plays an important role in defending the body against tumours and other threats. Currently, mechanisms involved in immune system interactions with tumour cells are not fully understood. Here we develop a mathematical tool that can be used in aiding to address this shortfall in understanding. This paper de- scribes a hybrid cellular automata model of the interaction between a growing tumour and cells of the innate and specific immune system including the effects of chemokines that builds on previous models of tumour-immune system interactions. In particular, the model is focused on the response of immune cells to tumour cells and how the dynamics of the tumour cells change due to the immune system of the host. We present results and predictions of in silico experiments including simulations of Kaplan-Meier survival-like curves.

Impact and interest:

Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

143 since deposited on 12 Jul 2012
14 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 51581
Item Type: Chapter in Book, Report or Conference volume (Conference contribution)
ORCID iD:
McCue, Scottorcid.org/0000-0001-5304-2384
Mallet, Dannorcid.org/0000-0003-4125-9900
Measurements or Duration: 10 pages
ISBN: 978-979-17979-3-1
Pure ID: 32288467
Divisions: Past > Institutes > Institute of Health and Biomedical Innovation
Past > QUT Faculties & Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2011 [please consult the author]
Copyright Statement: This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au
Deposited On: 12 Jul 2012 23:21
Last Modified: 02 Mar 2024 11:29