Literature DB >> 10885854

Gompertzian growth as a self-similar and allometric process.

Z Bajzer1.   

Abstract

The Gompertz law of growth has puzzled scientists for decades: while it successfully described growth kinetics of various biological systems (e.g., tumor growth), its foundation has remained unclear. In this paper I recognize the Gompertzian growth as founded on self-similarity, which is so abundant in natural phenomena that it justifiably represents a fundamental natural paradigm. The self-similarity leads to an allometric principle: the sizes of a given biological system at different times are related by a simple power law. The stated relation can be also viewed as basic functional growth equation with unique nonconstant solutions being the Gompertz and the exponential functions. This equation also provides the description of growth and regression dynamics in terms of a difference equation which already has found practical application in characterizing tumor growth kinetics.

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Year:  1999        PMID: 10885854

Source DB:  PubMed          Journal:  Growth Dev Aging        ISSN: 1041-1232


  9 in total

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2.  Optimal follow-up intervals in active surveillance of renal masses in patients with von Hippel-Lindau disease.

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3.  Tumor Volume Doubling Time as a Dynamic Prognostic Marker for Patients with Hepatocellular Carcinoma.

Authors:  Jong Kwan Kim; Hyung-Don Kim; Mi-Jung Jun; Sung-Cheol Yun; Ju Hyun Shim; Han Chu Lee; Danbi Lee; Jihyun An; Young-Suk Lim; Young-Hwa Chung; Yung Sang Lee; Kang Mo Kim
Journal:  Dig Dis Sci       Date:  2017-08-16       Impact factor: 3.199

4.  Dynamics of multiple myeloma tumor therapy with a recombinant measles virus.

Authors:  D Dingli; C Offord; R Myers; K-W Peng; T W Carr; K Josic; S J Russell; Z Bajzer
Journal:  Cancer Gene Ther       Date:  2009-06-05       Impact factor: 5.987

5.  Kidney tumor growth prediction by coupling reaction-diffusion and biomechanical model.

Authors:  Xinjian Chen; Ronald M Summers; Jianhua Yao
Journal:  IEEE Trans Biomed Eng       Date:  2012-10-02       Impact factor: 4.538

6.  Empirical maximum lifespan of earthworms is twice that of mice.

Authors:  Christian Mulder; Rob Baerselman; Leo Posthuma
Journal:  Age (Dordr)       Date:  2007-08-09

7.  Nutrient supply, cell spatial correlation and Gompertzian tumor growth.

Authors:  P Castorina; D Carco'
Journal:  Theory Biosci       Date:  2021-05-14       Impact factor: 1.919

8.  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

9.  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

  9 in total

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