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Molecular Portrait of Breast-Cancer-Derived Cell Lines Reveals Poor Similarity with Tumors.

Cifani, Paolo LU ; Kirik, Ufuk LU ; Waldemarson, Sofia LU and James, Peter LU (2015) In Journal of Proteome Research 14(7). p.2819-2827
Abstract
Breast-cancer-derived cell lines are an important sample source for cancer proteomics and can be classified on the basis of transcriptomic analysis into subgroups corresponding to the molecular subtypes observed in mammary tumors. This study describes a tridimensional fractionation method that allows high sequence coverage and proteome-wide estimation of protein expression levels. This workflow has been used to conduct an in-depth quantitative proteomic survey of five breast cancer cell lines matching all major cancer subgroups and shows that despite their different classification, these cell lines display a very high level of similarity. A proteome-wide comparison with the RNA levels observed in the same samples showed very little to no... (More)
Breast-cancer-derived cell lines are an important sample source for cancer proteomics and can be classified on the basis of transcriptomic analysis into subgroups corresponding to the molecular subtypes observed in mammary tumors. This study describes a tridimensional fractionation method that allows high sequence coverage and proteome-wide estimation of protein expression levels. This workflow has been used to conduct an in-depth quantitative proteomic survey of five breast cancer cell lines matching all major cancer subgroups and shows that despite their different classification, these cell lines display a very high level of similarity. A proteome-wide comparison with the RNA levels observed in the same samples showed very little to no correlation. Finally, we demonstrate that the proteomes of in vitro models of breast cancer display surprisingly little overlap with those of clinical samples. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Journal of Proteome Research
volume
14
issue
7
pages
2819 - 2827
publisher
The American Chemical Society
external identifiers
  • pmid:26055192
  • wos:000357624400008
  • scopus:84947237670
ISSN
1535-3893
DOI
10.1021/acs.jproteome.5b00375
language
English
LU publication?
yes
id
d39527a4-3097-4103-bf26-de80819d2e29 (old id 7487454)
date added to LUP
2015-07-20 10:15:29
date last changed
2017-01-01 04:04:35
@article{d39527a4-3097-4103-bf26-de80819d2e29,
  abstract     = {Breast-cancer-derived cell lines are an important sample source for cancer proteomics and can be classified on the basis of transcriptomic analysis into subgroups corresponding to the molecular subtypes observed in mammary tumors. This study describes a tridimensional fractionation method that allows high sequence coverage and proteome-wide estimation of protein expression levels. This workflow has been used to conduct an in-depth quantitative proteomic survey of five breast cancer cell lines matching all major cancer subgroups and shows that despite their different classification, these cell lines display a very high level of similarity. A proteome-wide comparison with the RNA levels observed in the same samples showed very little to no correlation. Finally, we demonstrate that the proteomes of in vitro models of breast cancer display surprisingly little overlap with those of clinical samples.},
  author       = {Cifani, Paolo and Kirik, Ufuk and Waldemarson, Sofia and James, Peter},
  issn         = {1535-3893},
  language     = {eng},
  number       = {7},
  pages        = {2819--2827},
  publisher    = {The American Chemical Society},
  series       = {Journal of Proteome Research},
  title        = {Molecular Portrait of Breast-Cancer-Derived Cell Lines Reveals Poor Similarity with Tumors.},
  url          = {http://dx.doi.org/10.1021/acs.jproteome.5b00375},
  volume       = {14},
  year         = {2015},
}