Literature DB >> 1457604

The role of cell death in the growth of preneoplastic lesions: a Monte Carlo simulation model.

J J Berman1, G W Moore.   

Abstract

A variety of experimental and clinical examples of preneoplasia demonstrate that regression of early lesions is common. This paper examines the hypothesis that early lesions operate under the identical growth kinetics of 'late' lesions (neoplasms), but that kinetic features favouring continuous growth in established lesions tend to favour extinction of lesions composed of small numbers of cells. Growth simulations of early lesions were produced using the Monte Carlo method, a technique demanding intensive computations. With the advent of powerful personal computers, this technique is now widely available to biologists. Simulating growth under conditions of cell loss similar to those observed in established tumours, the model predicts that the great majority of initiated cell clusters are expected to reach extinction within a few cell doubling times, and most early (promoted) lesions would not likely progress to the size of a clinically detectable lesion within the life span of the host organism. These Monte Carlo simulations provide a model of initiated cell growth consistent with the recently demonstrated role of early lesion cell death in the development of human lymphomas and in transgenic mice expressing the bcl-2 oncogene. The model demonstrates that small increments in the intrinsic cell loss probability in even the earliest progenitors of malignancy can strongly influence the subsequent development of neoplasia from initiated foci.

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Year:  1992        PMID: 1457604     DOI: 10.1111/j.1365-2184.1992.tb01459.x

Source DB:  PubMed          Journal:  Cell Prolif        ISSN: 0960-7722            Impact factor:   6.831


  4 in total

1.  CD5 is dissociated from the B-cell receptor in B cells from bovine leukemia virus-infected, persistently lymphocytotic cattle: consequences to B-cell receptor-mediated apoptosis.

Authors:  G H Cantor; S M Pritchard; F Dequiedt; L Willems; R Kettmann; W C Davis
Journal:  J Virol       Date:  2001-02       Impact factor: 5.103

2.  Modeling boundary conditions for balanced proliferation in metastatic latency.

Authors:  Donald P Taylor; Jakob Z Wells; Andrej Savol; Chakra Chennubhotla; Alan Wells
Journal:  Clin Cancer Res       Date:  2013-01-17       Impact factor: 12.531

3.  CGB and GNRH1 expression analysis as a method of tumor cells metastatic spread detection in patients with gynecological malignances.

Authors:  Mirosław Andrusiewicz; Anna Szczerba; Maria Wołuń-Cholewa; Wojciech Warchoł; Ewa Nowak-Markwitz; Emilia Gąsiorowska; Krystyna Adamska; Anna Jankowska
Journal:  J Transl Med       Date:  2011-08-09       Impact factor: 5.531

4.  Classifying the precancers: a metadata approach.

Authors:  Jules J Berman; Donald E Henson
Journal:  BMC Med Inform Decis Mak       Date:  2003-06-20       Impact factor: 2.796

  4 in total

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