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Integrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional status.


ABSTRACT: A cell line representative of human high-grade serous ovarian cancer (HGSOC) should not only resemble its tumour of origin at the molecular level, but also demonstrate functional utility in pre-clinical investigations. Here, we report the integrated proteomic analysis of 26 ovarian cancer cell lines, HGSOC tumours, immortalized ovarian surface epithelial cells and fallopian tube epithelial cells via a single-run mass spectrometric workflow. The in-depth quantification of >10,000 proteins results in three distinct cell line categories: epithelial (group I), clear cell (group II) and mesenchymal (group III). We identify a 67-protein cell line signature, which separates our entire proteomic data set, as well as a confirmatory publicly available CPTAC/TCGA tumour proteome data set, into a predominantly epithelial and mesenchymal HGSOC tumour cluster. This proteomics-based epithelial/mesenchymal stratification of cell lines and human tumours indicates a possible origin of HGSOC either from the fallopian tube or from the ovarian surface epithelium.

SUBMITTER: Coscia F 

PROVIDER: S-EPMC5007461 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature

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Integrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional status.

Coscia F F   Watters K M KM   Curtis M M   Eckert M A MA   Chiang C Y CY   Tyanova S S   Montag A A   Lastra R R RR   Lengyel E E   Mann M M  

Nature communications 20160826


A cell line representative of human high-grade serous ovarian cancer (HGSOC) should not only resemble its tumour of origin at the molecular level, but also demonstrate functional utility in pre-clinical investigations. Here, we report the integrated proteomic analysis of 26 ovarian cancer cell lines, HGSOC tumours, immortalized ovarian surface epithelial cells and fallopian tube epithelial cells via a single-run mass spectrometric workflow. The in-depth quantification of >10,000 proteins results  ...[more]

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