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Peter James

Peter James

Professor

Peter James

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

Author

  • Paolo Cifani
  • Ufuk Kirik
  • Sofia Waldemarson
  • Peter James

Summary, in English

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.

Department/s

  • Department of Immunotechnology

Publishing year

2015

Language

English

Pages

2819-2827

Publication/Series

Journal of Proteome Research

Volume

14

Issue

7

Document type

Journal article

Publisher

The American Chemical Society (ACS)

Topic

  • Cancer and Oncology

Status

Published

ISBN/ISSN/Other

  • ISSN: 1535-3893