Population modeling of tumor growth curves and the reduced Gompertz model improve prediction of the age of experimental tumors.
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| Title: | Population modeling of tumor growth curves and the reduced Gompertz model improve prediction of the age of experimental tumors. |
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| Authors: | Vaghi C; MONC team, Inria Bordeaux Sud-Ouest, Talence, France.; Institut de Mathématiques de Bordeaux, CNRS UMR 5251, Bordeaux University, Talence, France., Rodallec A; SMARTc Unit, Centre de Recherche en Cancérologie de Marseille, Inserm U1068, Aix Marseille Université, Marseille, France; Laboratoire de Pharmacocinétique et Toxicologie, La Timone University Hospital of Marseille, Marseille, France., Fanciullino R; SMARTc Unit, Centre de Recherche en Cancérologie de Marseille, Inserm U1068, Aix Marseille Université, Marseille, France; Laboratoire de Pharmacocinétique et Toxicologie, La Timone University Hospital of Marseille, Marseille, France., Ciccolini J; SMARTc Unit, Centre de Recherche en Cancérologie de Marseille, Inserm U1068, Aix Marseille Université, Marseille, France; Laboratoire de Pharmacocinétique et Toxicologie, La Timone University Hospital of Marseille, Marseille, France., Mochel JP; Department of Biomedical Sciences, College of Veterinary Medicine, Iowa State University, Ames, Iowa, United States of America., Mastri M; Department of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, New York, United States of America., Poignard C; MONC team, Inria Bordeaux Sud-Ouest, Talence, France.; Institut de Mathématiques de Bordeaux, CNRS UMR 5251, Bordeaux University, Talence, France., Ebos JML; Department of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, New York, United States of America.; Departments of Medicine and Experimental Therapeutics, Roswell Park Comprehensive Cancer Center, Buffalo, New York, United States of America., Benzekry S; MONC team, Inria Bordeaux Sud-Ouest, Talence, France.; Institut de Mathématiques de Bordeaux, CNRS UMR 5251, Bordeaux University, Talence, France. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2020 Feb 25; Vol. 16 (2), pp. e1007178. Date of Electronic Publication: 2020 Feb 25 (Print Publication: 2020). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1007178 |
