Literature DB >> 963169

Stochastic model of metastases formation.

L A Liotta, G M Saidel, J Kleinerman.   

Abstract

A mathematical model is developed to describe the dynamics of the hematogenous metastatic process to the lung from a solid tumor growing in a peripheral body site. The accumulation of tumor cell clumps of various sizes in the pulmonary circulation and the formation of metastatic foci are described by a non-homogeneous, two-dimensional Markov process. An analytical solution is found for the special case of metastases produced by the intravenous injection of tumor cell clumps. The system is decoupled experimentally to determine the time-varying entrance rate of tumor cell clumps into the circulation from a growing fibrosarcoma and the number of metastatic foci produced by the intravenous injection of tumor clumps. Model validation is based on comparisons of model simulations with data for the development of metastatic foci and the probability of cure following tumor excision. The model is used to simulate hypothetical therapy to prevent tumor metastases.

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Year:  1976        PMID: 963169

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  11 in total

1.  Mathematical models in oncology: a bird's-eye view.

Authors:  P Tautu
Journal:  Z Krebsforsch Klin Onkol Cancer Res Clin Oncol       Date:  1978

2.  Modeling Spontaneous Metastasis following Surgery: An In Vivo-In Silico Approach.

Authors:  Sebastien Benzekry; Amanda Tracz; Michalis Mastri; Ryan Corbelli; Dominique Barbolosi; John M L Ebos
Journal:  Cancer Res       Date:  2015-10-28       Impact factor: 12.701

3.  Stochastic bacterial population dynamics restrict the establishment of antibiotic resistance from single cells.

Authors:  Helen K Alexander; R Craig MacLean
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-23       Impact factor: 11.205

Review 4.  Dormancy in breast cancer.

Authors:  Malgorzata Banys; Andreas D Hartkopf; Natalia Krawczyk; Tatjana Kaiser; Franziska Meier-Stiegen; Tanja Fehm; Hans Neubauer
Journal:  Breast Cancer (Dove Med Press)       Date:  2012-12-05

5.  Disease progression model of 4T1 metastatic breast cancer.

Authors:  Liang Yang; Ling Yong; Xiao Zhu; Yaoyao Feng; Yu Fu; Daming Kong; Wei Lu; Tian-Yan Zhou
Journal:  J Pharmacokinet Pharmacodyn       Date:  2020-01-22       Impact factor: 2.745

6.  The pattern and timing of lymphatic metastasis of the rat carcinoma LMC.

Authors:  B Dixon; D A Bagnall
Journal:  Clin Exp Metastasis       Date:  1986 Apr-Jun       Impact factor: 5.150

7.  Influence of zoledronic acid on disseminated tumor cells in bone marrow and survival: results of a prospective clinical trial.

Authors:  Malgorzata Banys; Erich-Franz Solomayer; Gerhard Gebauer; Wolfgang Janni; Natalia Krawczyk; Hans-Joachim Lueck; Sven Becker; Jens Huober; Bernhard Kraemer; Birgit Wackwitz; Peter Hirnle; Diethelm Wallwiener; Tanja Fehm
Journal:  BMC Cancer       Date:  2013-10-15       Impact factor: 4.430

8.  A Mathematical Framework for Modelling the Metastatic Spread of Cancer.

Authors:  Linnea C Franssen; Tommaso Lorenzi; Andrew E F Burgess; Mark A J Chaplain
Journal:  Bull Math Biol       Date:  2019-03-22       Impact factor: 1.758

9.  Global dormancy of metastases due to systemic inhibition of angiogenesis.

Authors:  Sébastien Benzekry; Alberto Gandolfi; Philip Hahnfeldt
Journal:  PLoS One       Date:  2014-01-21       Impact factor: 3.240

10.  Computational Modelling of Metastasis Development in Renal Cell Carcinoma.

Authors:  Etienne Baratchart; Sébastien Benzekry; Andreas Bikfalvi; Thierry Colin; Lindsay S Cooley; Raphäel Pineau; Emeline J Ribot; Olivier Saut; Wilfried Souleyreau
Journal:  PLoS Comput Biol       Date:  2015-11-23       Impact factor: 4.475

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