Literature DB >> 9010019

Modelling the consequences of interactions between tumour cells.

I P Tomlinson1, W F Bodmer.   

Abstract

Classical models of tumorigenesis assume that the mutations which cause tumours to grow act in a cell-autonomous fashion. This is not necessarily true. Sometimes tumour cells may adopt genetic strategies that boost their own replication and which also influence other cells in the tumour, whether directly or as a side-effect. Tumour growth as a whole might be enhanced or retarded. We have used mathematical models to study two non-autonomous strategies that tumour cells may use. First, we have considered the production by tumour cells of an angiogenesis growth factor that benefits both the cell from which it originates and neighbouring cells. Second, we have analysed a situation in which tumour cells produce autocrine-only or paracrine-only growth factors to prevent programmed cell death. In the angiogenesis model, stable genetic polymorphisms are likely to occur between cells producing and not producing the growth factor. In the programmed cell death model, cells with autocrine growth factor production can spread throughout the tumour. Production of paracrine-only growth factor is never selected because it is 'altruistic' (that is of no benefit to the cell that makes the growth factor), despite being potentially beneficial to tumour growth as a whole. No polymorphisms can occur in the programmed cell death model. Production of angiogenesis and other growth factors in tumours may be under stable genetic, rather than epigenetic, control, with implications for therapies aimed at such targets. Many of the mutations observed in tumours may have non-autonomous effects.

Entities:  

Mesh:

Substances:

Year:  1997        PMID: 9010019      PMCID: PMC2063276          DOI: 10.1038/bjc.1997.26

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


  18 in total

Review 1.  Advances and controversies in the study of programmed cell death/apoptosis in the development of and therapy for cancer.

Authors:  J T Isaacs
Journal:  Curr Opin Oncol       Date:  1994-01       Impact factor: 3.645

2.  Human bone marrow stromal cells prevent apoptosis and support the survival of chronic lymphocytic leukaemia cells in vitro.

Authors:  P Panayiotidis; D Jones; K Ganeshaguru; L Foroni; A V Hoffbrand
Journal:  Br J Haematol       Date:  1996-01       Impact factor: 6.998

3.  Failure of programmed cell death and differentiation as causes of tumors: some simple mathematical models.

Authors:  I P Tomlinson; W F Bodmer
Journal:  Proc Natl Acad Sci U S A       Date:  1995-11-21       Impact factor: 11.205

4.  Melanoma antigens that produce cell-mediated immune responses in melanoma patients: joint U.S.-U.S.S.R. study.

Authors:  V V Gorodilova; A Hollinshead
Journal:  Science       Date:  1975-10-24       Impact factor: 47.728

5.  Control of apoptosis and growth of malignant T lymphoma cells by lymph node stromal cells.

Authors:  S Kataoka; M Naito; N Fujita; H Ishii; S Ishii; T Yamori; M Nakajima; T Tsuruo
Journal:  Exp Cell Res       Date:  1993-08       Impact factor: 3.905

6.  AIDS-Kaposi's sarcoma-derived cells express cytokines with autocrine and paracrine growth effects.

Authors:  B Ensoli; S Nakamura; S Z Salahuddin; P Biberfeld; L Larsson; B Beaver; F Wong-Staal; R C Gallo
Journal:  Science       Date:  1989-01-13       Impact factor: 47.728

7.  Evidence that transforming growth factor-beta is a hormonally regulated negative growth factor in human breast cancer cells.

Authors:  C Knabbe; M E Lippman; L M Wakefield; K C Flanders; A Kasid; R Derynck; R B Dickson
Journal:  Cell       Date:  1987-02-13       Impact factor: 41.582

Review 8.  Cytokine networks in solid human tumors: regulation of angiogenesis.

Authors:  R D Leek; A L Harris; C E Lewis
Journal:  J Leukoc Biol       Date:  1994-10       Impact factor: 4.962

9.  c-Myc-induced apoptosis in fibroblasts is inhibited by specific cytokines.

Authors:  E A Harrington; M R Bennett; A Fanidi; G I Evan
Journal:  EMBO J       Date:  1994-07-15       Impact factor: 11.598

10.  A two-stage theory of carcinogenesis in relation to the age distribution of human cancer.

Authors:  P ARMITAGE; R DOLL
Journal:  Br J Cancer       Date:  1957-06       Impact factor: 7.640

View more
  31 in total

Review 1.  Tumorigenesis: it takes a village.

Authors:  Doris P Tabassum; Kornelia Polyak
Journal:  Nat Rev Cancer       Date:  2015-07-02       Impact factor: 60.716

2.  Edge effects in game-theoretic dynamics of spatially structured tumours.

Authors:  Artem Kaznatcheev; Jacob G Scott; David Basanta
Journal:  J R Soc Interface       Date:  2015-07-06       Impact factor: 4.118

3.  Mathematical model of the role of intercellular signalling in intercellular cooperation during tumorigenesis.

Authors:  S Ghosh; S Elankumaran; I K Puri
Journal:  Cell Prolif       Date:  2011-04       Impact factor: 6.831

4.  Evolutionary dynamics of two related malignant plasma cell lines.

Authors:  David Dingli; Bonnie K Arendt; Zeljko Bajzer; Diane F Jelinek
Journal:  Cell Cycle       Date:  2010-09-15       Impact factor: 4.534

5.  Complexity and stability in growing cancer cell populations.

Authors:  Philip Gerlee; Philipp M Altrock
Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-04       Impact factor: 11.205

6.  Spatial evolutionary games with weak selection.

Authors:  Mridu Nanda; Richard Durrett
Journal:  Proc Natl Acad Sci U S A       Date:  2017-05-22       Impact factor: 11.205

7.  Cancer heterogeneity and multilayer spatial evolutionary games.

Authors:  Andrzej Świerniak; Michał Krześlak
Journal:  Biol Direct       Date:  2016-10-13       Impact factor: 4.540

8.  Evolution of cell motility in an individual-based model of tumour growth.

Authors:  P Gerlee; A R A Anderson
Journal:  J Theor Biol       Date:  2009-03-12       Impact factor: 2.691

Review 9.  Tumor heterogeneity: causes and consequences.

Authors:  Andriy Marusyk; Kornelia Polyak
Journal:  Biochim Biophys Acta       Date:  2009-11-18

10.  Cancer phenotype as the outcome of an evolutionary game between normal and malignant cells.

Authors:  D Dingli; F A C C Chalub; F C Santos; S Van Segbroeck; J M Pacheco
Journal:  Br J Cancer       Date:  2009-09-01       Impact factor: 7.640

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.