1976
DOI: 10.1038/264542a0
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Predicting the course of Gompertzian growth

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Cited by 287 publications
(184 citation statements)
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“…Mice with tumor sizes of 100 mm 3 are generally used to investigate drug effects. This is because solid tumors typically display Gompertzian kinetics (35), and they are typically found to be in a log phase of growth when at a size of 100 mm 3 , where the new tumor vessels are robustly developing and no necrosis in the interior of the tumor has appeared yet (36). The tumors in free Dox-, free HFn-, or PBS-treated groups grew rapidly, and the average volume of tumors reached >1,000 mm 3 on day 18 after tumor implantation (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Mice with tumor sizes of 100 mm 3 are generally used to investigate drug effects. This is because solid tumors typically display Gompertzian kinetics (35), and they are typically found to be in a log phase of growth when at a size of 100 mm 3 , where the new tumor vessels are robustly developing and no necrosis in the interior of the tumor has appeared yet (36). The tumors in free Dox-, free HFn-, or PBS-treated groups grew rapidly, and the average volume of tumors reached >1,000 mm 3 on day 18 after tumor implantation (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…However, exponential growth is unlikely to be sustained in larger lesions, which may be limited by lack of adequate vasculature (23). Gompertzian dynamics, which feature an initial exponential growth phase followed by saturation, may be a more appropriate model for such systems (24). Stem cells from the bulge region of hair follicles may be responsible for repair of more macroscopic epidermal wounds (25), which could result in dynamics different from those described in the present model, which assumes that stem-like cells of the interfollicular epidermis are responsible for skin maintenance (26,27).…”
Section: Discussionmentioning
confidence: 99%
“…The Gompertz model was first employed in the paper of Laird (1964) to model real tumor growth. Ever since, Gompertz's empirical equation remains the most popular one in describing cancer cell population growth in a wide spectrum of bio-medical situations due to its good fit to data and simplicity (Norton (1976)). Many efforts were documented in the literature aimed at understanding the mechanisms that may support Gompertz's elegant model equation (Frenzen and Murray (1986), Gyllenberg and Webb (1989), Marusic and Vuk-Pavlovic (1993), Marusic et al (1994), Kozusko and Bajzer (2003), Thalhauser et al (2009)).…”
Section: Introductionmentioning
confidence: 99%