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A single dividing cell population with imbalanced fate drives oesophageal tumour growth

A single dividing cell population with imbalanced fate drives oesophageal tumour growth
A single dividing cell population with imbalanced fate drives oesophageal tumour growth
Understanding the cellular mechanisms of tumour growth is key for designing rational anticancer treatment. Here we used genetic lineage tracing to quantify cell behaviour during neoplastic transformation in a model of oesophageal carcinogenesis. We found that cell behaviour was convergent across premalignant tumours, which contained a single proliferating cell population. The rate of cell division was not significantly different in the lesions and the surrounding epithelium. However, dividing tumour cells had a uniform, small bias in cell fate so that, on average, slightly more dividing than non-dividing daughter cells were generated at each round of cell division. In invasive cancers induced by KrasG12D expression, dividing cell fate became more strongly biased towards producing dividing over non-dividing cells in a subset of clones. These observations argue that agents that restore the balance of cell fate may prove effective in checking tumour growth, whereas those targeting cycling cells may show little selectivity.
1465-7392
967-978
Frede, Julia
45a1abf2-49bc-4301-9bf2-39798fdb8dc1
Greulich, Philip
65da32ad-a73a-435a-86e0-e171437430a9
Nagy, Tibor
2823172b-7b02-4b66-8d98-dbcf486877f2
Simons, Benjamin D.
02e0ea52-9b7f-4b80-a856-a22cc1991ba3
Jones, Philip H.
f263e68c-4612-4e26-884c-0ff65f824611
Frede, Julia
45a1abf2-49bc-4301-9bf2-39798fdb8dc1
Greulich, Philip
65da32ad-a73a-435a-86e0-e171437430a9
Nagy, Tibor
2823172b-7b02-4b66-8d98-dbcf486877f2
Simons, Benjamin D.
02e0ea52-9b7f-4b80-a856-a22cc1991ba3
Jones, Philip H.
f263e68c-4612-4e26-884c-0ff65f824611

Frede, Julia, Greulich, Philip, Nagy, Tibor, Simons, Benjamin D. and Jones, Philip H. (2016) A single dividing cell population with imbalanced fate drives oesophageal tumour growth. Nature Cell Biology, 18 (9), 967-978. (doi:10.1038/ncb3400).

Record type: Article

Abstract

Understanding the cellular mechanisms of tumour growth is key for designing rational anticancer treatment. Here we used genetic lineage tracing to quantify cell behaviour during neoplastic transformation in a model of oesophageal carcinogenesis. We found that cell behaviour was convergent across premalignant tumours, which contained a single proliferating cell population. The rate of cell division was not significantly different in the lesions and the surrounding epithelium. However, dividing tumour cells had a uniform, small bias in cell fate so that, on average, slightly more dividing than non-dividing daughter cells were generated at each round of cell division. In invasive cancers induced by KrasG12D expression, dividing cell fate became more strongly biased towards producing dividing over non-dividing cells in a subset of clones. These observations argue that agents that restore the balance of cell fate may prove effective in checking tumour growth, whereas those targeting cycling cells may show little selectivity.

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Frede et al 2016 accepted version - Accepted Manuscript
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Accepted/In Press date: 19 July 2016
e-pub ahead of print date: 22 August 2016
Published date: September 2016
Organisations: Applied Mathematics

Identifiers

Local EPrints ID: 410448
URI: http://eprints.soton.ac.uk/id/eprint/410448
ISSN: 1465-7392
PURE UUID: 5c57ffea-f2e4-4b7c-8e3f-59be0b14d3e0
ORCID for Philip Greulich: ORCID iD orcid.org/0000-0001-5247-6738

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Date deposited: 08 Jun 2017 16:31
Last modified: 16 Mar 2024 04:17

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Contributors

Author: Julia Frede
Author: Philip Greulich ORCID iD
Author: Tibor Nagy
Author: Benjamin D. Simons
Author: Philip H. Jones

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