Literature DB >> 6719130

Dynamic heterogeneity: rapid generation of metastatic variants in mouse B16 melanoma cells.

R P Hill, A F Chambers, V Ling, J F Harris.   

Abstract

The ability of clonally derived lines of B16F1 and B16F10 melanoma cells to form experimental metastases in C57BL mice after intravenous injection was examined. Luria- Delbruck fluctuation analysis was applied to the results obtained with parallel subclones grown to small population sizes before testing for metastatic ability. The analysis demonstrated that variant cells capable of forming experimental metastases were generated in B16F1 cell populations at an effective rate of about 1.3 X 10(-5) per cell per generation while in B16F10 cell populations the effective rate of production was about 5 X 10(-5) per cell per generation. These results are consistent with a dynamic heterogeneity model of tumor progression. They suggest that the majority of cells in both lines are effectively nonmetastatic and that the higher metastatic ability of the B16F10 population may be due in part to a higher rate of generation of metastatic variants.

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Year:  1984        PMID: 6719130     DOI: 10.1126/science.6719130

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  44 in total

1.  Inhibition of the motility and growth of B16F10 mouse melanoma cells by dominant negative mutants of Dok-1.

Authors:  T Hosooka; T Noguchi; H Nagai; T Horikawa; T Matozaki; M Ichihashi; M Kasuga
Journal:  Mol Cell Biol       Date:  2001-08       Impact factor: 4.272

2.  N-linked oligosaccharides and metastatic propensity in in vivo selected mouse mammary adenocarcinoma cells.

Authors:  P J Seberger; E M Scholar; L Kelsey; W G Chaney; J E Talmadge
Journal:  Clin Exp Metastasis       Date:  1999-07       Impact factor: 5.150

Review 3.  The significance of biological heterogeneity.

Authors:  H Rubin
Journal:  Cancer Metastasis Rev       Date:  1990-07       Impact factor: 9.264

Review 4.  AACR centennial series: the biology of cancer metastasis: historical perspective.

Authors:  James E Talmadge; Isaiah J Fidler
Journal:  Cancer Res       Date:  2010-07-07       Impact factor: 12.701

5.  Modulation of clonal progression in B16F1 melanoma cells.

Authors:  J F Harris; A F Chambers; A S Tam
Journal:  Clin Exp Metastasis       Date:  1991 Mar-Apr       Impact factor: 5.150

6.  Malignant properties of P635 glioma are independent of glial fibrillary acidic protein expression.

Authors:  A F Chambers; G H Denhardt; S M Wilson; J G Cairncross
Journal:  J Neurooncol       Date:  1991-08       Impact factor: 4.130

7.  The role of nicotinamide adenine dinucleotide phosphate oxidase-derived reactive oxygen species in the acquisition of metastatic ability of tumor cells.

Authors:  Futoshi Okada; Masanobu Kobayashi; Hiroki Tanaka; Tokushige Kobayashi; Hiroshi Tazawa; Yoshihito Iuchi; Kunishige Onuma; Masuo Hosokawa; Mary C Dinauer; Nicholas H Hunt
Journal:  Am J Pathol       Date:  2006-07       Impact factor: 4.307

Review 8.  Quantitative genetic analysis of tumor progression.

Authors:  V Ling; A F Chambers; J F Harris; R P Hill
Journal:  Cancer Metastasis Rev       Date:  1985       Impact factor: 9.264

9.  Biological resonance for cancer metastasis, a new hypothesis based on comparisons between primary cancers and metastases.

Authors:  Dongwei Gao; Sha Li
Journal:  Cancer Microenviron       Date:  2013-11-10

10.  The human Ha-ras oncogene induces genomic instability in murine fibroblasts within one cell cycle.

Authors:  N C Denko; A J Giaccia; J R Stringer; P J Stambrook
Journal:  Proc Natl Acad Sci U S A       Date:  1994-05-24       Impact factor: 11.205

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