Literature DB >> 630579

Characteristic species dependent growth patterns of mammalian neoplasms.

G F Brunton, T E Wheldon.   

Abstract

Evidence is presented, arising from an analysis of published data on tumour growth in three species of laboratory animals and in human multiple myeloma supporting a species specific relation between two supposedly independent parameters in the Gompertz equations frequently used to quantify tumour growth curves. This evidence supports the conjecture of Norton et al. (1976), based on their observations of the growth kinetics of a murine melanoma and a rat mammary carcinoma, that such a relation may be a general feature of tumour growth. Published data on the growth of xenografts of human colorectal tumours in immune-deprived mice suggests that the observed growth relation reflects the ability of a particular species to support a tumour of a certain maximum size. The existence of this relation greatly simplifies the task of predicting complete patterns of undisturbed neoplastic growth in these species.

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Year:  1978        PMID: 630579     DOI: 10.1111/j.1365-2184.1978.tb00884.x

Source DB:  PubMed          Journal:  Cell Tissue Kinet        ISSN: 0008-8730


  9 in total

1.  Evidence for a narrow range of growth patterns of malignant tumors and embryos of different species.

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Review 5.  How translational modeling in oncology needs to get the mechanism just right.

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6.  Progressive growth of a human pleural mesothelioma xenografted to athymic rats and mice.

Authors:  C J Lindén; L Johansson
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7.  Growth pattern analysis of murine lung neoplasms by advanced semi-automated quantification of micro-CT images.

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8.  Classical mathematical models for description and prediction of experimental tumor growth.

Authors:  Sébastien Benzekry; Clare Lamont; Afshin Beheshti; Amanda Tracz; John M L Ebos; Lynn Hlatky; Philip Hahnfeldt
Journal:  PLoS Comput Biol       Date:  2014-08-28       Impact factor: 4.475

9.  Population modeling of tumor growth curves and the reduced Gompertz model improve prediction of the age of experimental tumors.

Authors:  Cristina Vaghi; Anne Rodallec; Raphaëlle Fanciullino; Joseph Ciccolini; Jonathan P Mochel; Michalis Mastri; Clair Poignard; John M L Ebos; Sébastien Benzekry
Journal:  PLoS Comput Biol       Date:  2020-02-25       Impact factor: 4.475

  9 in total

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