Modeling immunotherapy of the tumor – immune interaction
dc.contributor.author | Kirschner, Denise E. | en_US |
dc.contributor.author | Panetta, John Carl | en_US |
dc.date.accessioned | 2006-09-08T19:58:32Z | |
dc.date.available | 2006-09-08T19:58:32Z | |
dc.date.issued | 1998-09 | en_US |
dc.identifier.citation | Kirschner, Denise; Panetta, John Carl; (1998). "Modeling immunotherapy of the tumor – immune interaction." Journal of Mathematical Biology 37(3): 235-252. <http://hdl.handle.net/2027.42/42105> | en_US |
dc.identifier.issn | 0303-6812 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/42105 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=9785481&dopt=citation | en_US |
dc.description.abstract | A number of lines of evidence suggest that immunotherapy with the cytokine interleukin-2 (IL-2) may boost the immune system to fight tumors. CD4 + T cells, the cells that orchestrate the immune response, use these cytokines as signaling mechanisms for immune-response stimulation as well as lymphocyte stimulation, growth, and differentiation. Because tumor cells begin as ‘self’, the immune system may not respond in an effective way to eradicate them. Adoptive cellular immunotherapy can potentially restore or enhance these effects. We illustrate through mathematical modeling the dynamics between tumor cells, immune-effector cells, and IL-2. These efforts are able to explain both short tumor oscillations in tumor sizes as well as long-term tumor relapse. We then explore the effects of adoptive cellular immunotherapy on the model and describe under what circumstances the tumor can be eliminated. | en_US |
dc.format.extent | 253942 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Springer-Verlag; Springer-Verlag Berlin Heidelberg | en_US |
dc.subject.other | Ordinary Differential Equations | en_US |
dc.subject.other | Tumor | en_US |
dc.subject.other | Legacy | en_US |
dc.subject.other | Key Words: Immunotherapy | en_US |
dc.subject.other | Modeling | en_US |
dc.subject.other | Cytokine | en_US |
dc.subject.other | Interleukin-2 | en_US |
dc.title | Modeling immunotherapy of the tumor – immune interaction | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Natural Resources and Environment | en_US |
dc.subject.hlbsecondlevel | Molecular, Cellular and Developmental Biology | en_US |
dc.subject.hlbsecondlevel | Ecology and Evolutionary Biology | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Microbiology and Immunology, The University of Michigan Medical School, Ann Arbor, MI 48109-0620, USA, US | en_US |
dc.contributor.affiliationother | School of Science, Penn State Erie, The Behrend College, Station Road, Erie, PA 16563-0203, USA. e-mail: panetta@wagner.bd.psu.edu, US | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.identifier.pmid | 9785481 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/42105/1/285-37-3-235_80370235.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/s002850050127 | en_US |
dc.identifier.source | Journal of Mathematical Biology | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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