Literature DB >> 8918411

Prognostic relevance of the intrinsic growth deceleration of the first passage xenografts of human renal cell carcinomas.

I D Bassukas1, G Hofmockel, P Tsatalpas, V Eberle, B Maurer-Schultze.   

Abstract

BACKGROUND: Although successful xenotransplantation of human tumors in nude mice highly predicts prognosis, little is known regarding the biologic background of this correlation. In this study, the relationship between the macroscopic growth pattern of first-generation xenografts of human renal cell carcinomas in nude mice and prognosis was studied.
METHODS: Macroscopic growth patterns of the first-generation xenografts of locally confined renal cell carcinomas were analyzed according to the best-fit Gompertz recursion formulas.
RESULTS: The parameter "b" of the growth pattern, the measure of the intensity of growth deceleration as a function of tumor growth, strongly predicted prognosis after nephrectomy as a single factor; faster growth deceleration, i.e., lower b values, predicted better prognosis (mean follow-up, 5.2 years; P = 0.000008 for the disease free period and P = 0.000018 for overall survival). It is also the most significant single prognostic parameter among others (including staging and grading) according to a multivariate analysis.
CONCLUSIONS: The parameter expressing the Gompertzian macroscopic growth deceleration of the first-generation xenografts of clinically locally confined renal cell carcinomas in nude mice explains the strong prognostic impact of xenotransplantation.

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Year:  1996        PMID: 8918411

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  3 in total

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Authors:  L Possati; D Campioni; F Sola; L Leone; L Ferrante; C Trabanelli; M Ciomei; M Montesi; R Rocchetti; S Talevi; S Bompadre; A Caputo; G Barbanti-Brodano; A Corallini
Journal:  Clin Exp Metastasis       Date:  1999       Impact factor: 5.150

2.  A new method to estimate parameters of the growth model for metastatic tumours.

Authors:  Esmaeil Mehrara; Eva Forssell-Aronsson; Viktor Johanson; Lars Kölby; Ragnar Hultborn; Peter Bernhardt
Journal:  Theor Biol Med Model       Date:  2013-05-09       Impact factor: 2.432

3.  Analysis of inter-patient variations in tumour growth rate.

Authors:  Esmaeil Mehrara; Eva Forssell-Aronsson
Journal:  Theor Biol Med Model       Date:  2014-05-20       Impact factor: 2.432

  3 in total

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