Studying the capability of different cancer hallmarks to initiate tumor growth using a cellular automaton simulation. Application in a cancer stem cell context

BioSystems

Volumn 115, Issue 1, 2014, Pages 46-58

  Monteagudo, Ángel ^a   Santos, José ^a  

^a UNIVERSITY OF A CORUÑA   (Spain)

Author keywords

Cancer growth modeling; Cancer stem cells; Cellular automata; Cellular behavior

Indexed keywords

GROWTH FACTOR;

APOPTOSIS; CANCER; CELLULAR AUTOMATON; GROWTH MODELING; REGROWTH; TUMOR;

APOPTOSIS; ARTICLE; AUTOMATION; CANCER GROWTH; CANCER STEM CELL; CELL DEATH; CELL DIFFERENTIATION; CELL IMMORTALIZATION; GENOMIC INSTABILITY; HUMAN; INHIBITION KINETICS; MITOSIS; MOLECULAR DYNAMICS; MUTATION RATE; NONHUMAN; SIMULATION;

CANCER GROWTH MODELING; CANCER STEM CELLS; CELLULAR AUTOMATA; CELLULAR BEHAVIOR;

APOPTOSIS; CARCINOGENESIS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; MITOSIS; MODELS, BIOLOGICAL; NEOPLASMS; NEOPLASTIC STEM CELLS;

EID: 84889670859     PISSN: 03032647     EISSN: 18728324     Source Type: Journal    
DOI: 10.1016/j.biosystems.2013.11.001     Document Type: Article

References (32)

1. Abbott R., Forrest S., Pienta K. Simulating the hallmarks of cancer. Artificial Life 2006, 12(4):617-634.
2. Al-Hajj M., Wicha M., Benito-Hernandez A., Morrison S., Clarke M. Prospective identification of tumorigenic breast cancer cells. Proceedings of the National Academy of Sciences of the United States of America 2003, 100(7):3983-3988.
3. Anderson A., Weaver A., Cummings P., Quaranta V. Tumor morphology and phenotypic evolution driven by selective pressure from the microenvironment. Cell 2006, 127:905-915.
4. Basanta D., Ribba B., Watkin E., You B., Deutsch A. Computational analysis of the influence of the microenvironment on carcinogenesis. Mathematical Biosciences 2011, 229:22-29.
5. Baumann M., Krause M., Hill R. Exploring the role of cancer stem cells in radioresistance. Nature Reviews Cancer 2008, 8:545-554.
6. Bielas J., Loeb K., Rubin B., True L., Loeb L. Human cancers express a mutator phenotype. Proceedings of the National Academy of Sciences of the United States of America 2006, 103(48):18238-18242.
7. Dewanji A., Luebeck E., Moolgavkar S. A generalized Luria-Delbrück model. Mathematical Biosciences 2005, 197(2):140-152.
8. Enderling H., Hahnfeldt P. Cancer stem cells in solid tumors: is 'evading apoptosis' a hallmark of cancer?. Progress in Biophysics and Molecular Biology 2011, 106:391-399.
9. Gibbs W. Untangling the roots of cancer. Scientific American 2003, 289:56-65.
10. Gil J., Stembalska A., Pesz K., Sasiadek M. Cancer stem cells: the theory and perspectives in cancer therapy. Journal of Applied Genetics 2008, 49(2):193-199.
11. Hamilton G. Multicellular spheroids as an in vitro tumor model. Cancer Letters 1998, 131(1):29-34.
12. Hanahan D., Weinberg R. The hallmarks of cancer. Cell 2000, 100:57-70.
13. Hanahan D., Weinberg R. Hallmarks of cancer: the next generation. Cell 2011, 144(5):646-674.
14. Hayflick L. The limited in vitro time of human diploid cell strains. Experimental Cell Research 1965, 37:614-636.
15. Hu Y., Fu L. Targeting cancer stem cells: a new therapy to cure cancer patients. American Journal of Cancer Research 2012, 2(3):340-356.
16. Ilachinski A. Cellular Automata. A Discrete Universe 2001, World Scientific.
17. Kansal A., Torquato S., Harsh G., Chiocca E., Deisboeck T. Simulated brain tumor growth dynamics using a three-dimensional cellular automaton. Journal of Theoretical Biology 2000, 203:367-382.
18. Kosovsky, M., 2012. Culture and Assay Systems Utilized for Cancer Stem Cell Research. Bdbiosciences.com, 01-08.
19. Loeb K., Loeb L. Genetic instability and the mutator phenotype. American Journal of Pathology 1999, 154(6):1621-1626.
20. Malumbres M. Oncogene-induced mitotic stress: p53 and pRb get mad too. Cancer Cell. 2011, 19(6):691-692.
21. Monteagudo A., Santos J. A cellular automaton model for tumor growth simulation. Advances in Intelligent and Soft-Computing - Proceedings 6th International Conference on Practical Applications of Computational Biology & Bioinformatics 2012, 154:147-155.
22. Morton C.I., Hlatky L., Hahnfeldt P., Enderling H. Non-stem cancer cell kinetics modulate solid tumor progression. Theoretical Biology and Medical Modelling 2011, 8:48.
23. Patel M., Nagl S. The Role of Model Integration in Complex Systems. An Example from Cancer Biology 2010, Springer-Verlag.
24. Phung Y.T., Barbone D., Broaddus V.C., Ho M. Rapid generation of in vitro multicellular spheroids for the study of monoclonal antibody therapy. Journal of Cancer 2011, 2:507-514.
25. Rejniak K., Anderson A. Hybrid models of tumor growth. WIREs Systems Biology and Medicine 2010, 3:115-125.
26. Ribba, B., Alarcon, T., Marron, K., Maini, P., Agur, Z., 2004. The use of hybrid cellular automaton models for improving cancer therapy. In: Sloot, P.M.A., Chopard, B., Hoekstra, A.G. (Eds.), Proceedings, Cellular Automata: 6th International Conference on Cellular Automata for Research and Industry, ACRI 2004, Amsterdam, The Netherlands, vol. 3305. Lecture Notes in Computer Science, pp. 444-453.
27. Santos J., Monteagudo A. Study of cancer hallmarks relevance using a cellular automaton tumor growth model. Proceedings PPSN 2012 - Parallel Problem Solving from Nature - Lecture Notes in Computer Science 2012, 7491:489-549.
28. Sottoriva A., Verhoeff J., Borovski T., McWeeney S., Naumov L., Medema J., Sloot P., Vermeulen L. Cancer stem cell tumor model reveals invasive morphology and increased phenotypical heterogeneity. Cancer Research 2010, 70(1):46-56.
29. Spencer S., Gerety R., Pienta K., Forrest S. Modeling somatic evolution in tumorigenesis. PLoS Computational Biology 2006, 2(8):939-947.
30. Vainstein V., Kirnasovsky O., Kogan Y., Agur Z. Strategies for cancer stem cell elimination: insights from mathematical modeling. Journal of Theoretical Biology 2012, 298:32-41.
31. Wodarz D., Komarova N. Computational Biology of Cancer. Lecture Notes and Mathematical Modeling 2005, World Scientific.
32. Wodarz D., Komarova N. Can loss of apoptosis protect against cancer?. Trends in Genetics 2007, 23(5):232-237.