Literature DB >> 8720467

Elimination of transformed cells by normal cells: a novel concept for the control of carcinogenesis.

G Bauer1.   

Abstract

Control of transformed cells by neighbouring normal cells is known since the beginning of transformation studies in vitro. The classical explanation for this phenomenon is based on proliferation inhibition of transformed cells by normal cells. We extend this model by presenting data that show that TGF-beta-treated normal cells can eliminate transformed cells by induction of apoptosis. Both the TGF-beta-induced signal pathway in normal cells, leading to the production of a short-lived apoptosis-inducing factor, as well as the specific interaction of this factor with transformed cells depend on the action of reactive oxygen species. Sensitivity to induction of apoptosis seems to be a common feature associated with the transformed state, independent of the originally transforming principle. Therefore, tumor development should require either interference with the process of elimination or acquisition of resistance against it. We discuss experimental evidence for interfering substances, such as antioxidants, as well as for genetic systems that protect transformed cells from the negative effects of their cellular environment, such as Bcl-2 or papilloma viruses. These findings, as well as the general resistance of exvivo tumor cells against induction of apoptosis are in line with the novel model of control of tumor progression presented by us in this review.

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Year:  1996        PMID: 8720467

Source DB:  PubMed          Journal:  Histol Histopathol        ISSN: 0213-3911            Impact factor:   2.303


  24 in total

Review 1.  The potential influence of radiation-induced microenvironments in neoplastic progression.

Authors:  M H Barcellos-Hoff
Journal:  J Mammary Gland Biol Neoplasia       Date:  1998-04       Impact factor: 2.673

2.  Acquisition of HP phenotype and alterations in the activity of catalase of in vitro transformed cells of different origin in the dynamics of in vivo tumor progression.

Authors:  L M Kashkina; V A Matveeva; N A Dyakova; E N Uvarova; G I Deichman
Journal:  Dokl Biol Sci       Date:  2004 Jan-Feb

3.  Mechanistic modelling suggests that the size of preneoplastic lesions is limited by intercellular induction of apoptosis in oncogenically transformed cells.

Authors:  Pavel Kundrát; Georg Bauer; Peter Jacob; Werner Friedland
Journal:  Carcinogenesis       Date:  2011-10-31       Impact factor: 4.944

Review 4.  Stromal mediation of radiation carcinogenesis.

Authors:  Mary Helen Barcellos-Hoff
Journal:  J Mammary Gland Biol Neoplasia       Date:  2010-12-23       Impact factor: 2.673

5.  Protective bystander effects simulated with the state-vector model.

Authors:  Helmut Schöllnberger; Peter M Eckl
Journal:  Dose Response       Date:  2007-06-26       Impact factor: 2.658

6.  Stochastic thresholds: a novel explanation of nonlinear dose-response relationships for stochastic radiobiological effects.

Authors:  Bobby R Scott
Journal:  Dose Response       Date:  2006-05-22       Impact factor: 2.658

7.  Mechanistic basis for nonlinear dose-response relationships for low-dose radiation-induced stochastic effects.

Authors:  Bobby R Scott; Dale M Walker; Yohannes Tesfaigzi; Helmut Schöllnberger; Vernon Walker
Journal:  Nonlinearity Biol Toxicol Med       Date:  2003-01

8.  Stroma-derived three-dimensional matrices are necessary and sufficient to promote desmoplastic differentiation of normal fibroblasts.

Authors:  Michael D Amatangelo; Daniel E Bassi; Andrés J P Klein-Szanto; Edna Cukierman
Journal:  Am J Pathol       Date:  2005-08       Impact factor: 4.307

Review 9.  A visual-quantitative analysis of fibroblastic stromagenesis in breast cancer progression.

Authors:  Edna Cukierman
Journal:  J Mammary Gland Biol Neoplasia       Date:  2004-10       Impact factor: 2.673

10.  It's time for a new low-dose-radiation risk assessment paradigm--one that acknowledges hormesis.

Authors:  Bobby R Scott
Journal:  Dose Response       Date:  2007-09-30       Impact factor: 2.658

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