A new computational tool for the phenomenological analysis of multipassage tumor growth curves.
Multipassage experiments are performed by subcutaneous implantation in lab animals (usually mice) of a small number of cells from selected human lines. Tumor cells are then passaged from one mouse to another by harvesting them from a growing tumor and implanting them into other healthy animals. This...
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2009
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oai:doaj.org-article:44a7969066df451b843974b487858a502021-11-25T06:23:01ZA new computational tool for the phenomenological analysis of multipassage tumor growth curves.1932-620310.1371/journal.pone.0005358https://doaj.org/article/44a7969066df451b843974b487858a502009-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19396358/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Multipassage experiments are performed by subcutaneous implantation in lab animals (usually mice) of a small number of cells from selected human lines. Tumor cells are then passaged from one mouse to another by harvesting them from a growing tumor and implanting them into other healthy animals. This procedure may be extremely useful to investigate the various mechanisms involved in the long term evolution of tumoral growth. It has been observed by several researchers that, contrary to what happens in in vitro experiments, there is a significant growth acceleration at each new passage. This result is explained by a new method of analysis, based on the Phenomenological Universalities approach. It is found that, by means of a simple rescaling of time, it is possible to collapse all the growth curves, corresponding to the successive passages, into a single curve, belonging to the Universality Class U2. Possible applications are proposed and the need of further experimental evidence is discussed.Antonio S GliozziCaterina GuiotPier Paolo DelsantoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 4, Iss 4, p e5358 (2009) |
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Medicine R Science Q Antonio S Gliozzi Caterina Guiot Pier Paolo Delsanto A new computational tool for the phenomenological analysis of multipassage tumor growth curves. |
description |
Multipassage experiments are performed by subcutaneous implantation in lab animals (usually mice) of a small number of cells from selected human lines. Tumor cells are then passaged from one mouse to another by harvesting them from a growing tumor and implanting them into other healthy animals. This procedure may be extremely useful to investigate the various mechanisms involved in the long term evolution of tumoral growth. It has been observed by several researchers that, contrary to what happens in in vitro experiments, there is a significant growth acceleration at each new passage. This result is explained by a new method of analysis, based on the Phenomenological Universalities approach. It is found that, by means of a simple rescaling of time, it is possible to collapse all the growth curves, corresponding to the successive passages, into a single curve, belonging to the Universality Class U2. Possible applications are proposed and the need of further experimental evidence is discussed. |
format |
article |
author |
Antonio S Gliozzi Caterina Guiot Pier Paolo Delsanto |
author_facet |
Antonio S Gliozzi Caterina Guiot Pier Paolo Delsanto |
author_sort |
Antonio S Gliozzi |
title |
A new computational tool for the phenomenological analysis of multipassage tumor growth curves. |
title_short |
A new computational tool for the phenomenological analysis of multipassage tumor growth curves. |
title_full |
A new computational tool for the phenomenological analysis of multipassage tumor growth curves. |
title_fullStr |
A new computational tool for the phenomenological analysis of multipassage tumor growth curves. |
title_full_unstemmed |
A new computational tool for the phenomenological analysis of multipassage tumor growth curves. |
title_sort |
new computational tool for the phenomenological analysis of multipassage tumor growth curves. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2009 |
url |
https://doaj.org/article/44a7969066df451b843974b487858a50 |
work_keys_str_mv |
AT antoniosgliozzi anewcomputationaltoolforthephenomenologicalanalysisofmultipassagetumorgrowthcurves AT caterinaguiot anewcomputationaltoolforthephenomenologicalanalysisofmultipassagetumorgrowthcurves AT pierpaolodelsanto anewcomputationaltoolforthephenomenologicalanalysisofmultipassagetumorgrowthcurves AT antoniosgliozzi newcomputationaltoolforthephenomenologicalanalysisofmultipassagetumorgrowthcurves AT caterinaguiot newcomputationaltoolforthephenomenologicalanalysisofmultipassagetumorgrowthcurves AT pierpaolodelsanto newcomputationaltoolforthephenomenologicalanalysisofmultipassagetumorgrowthcurves |
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1718413798181699584 |