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Protein Expression Changes in Ovarian Cancer during the Transition from Benign to Malignant.

Waldemarson, Sofia LU ; Krogh, Morten LU ; Alaiya, Ayodele; Kirik, Ufuk LU ; Schedvins, Kjell; Auer, Gert; Hansson, Karin M LU ; Ossola, Reto; Aebersold, Ruedi and Lee, Hookeun, et al. (2012) In Journal of Proteome Research 11(5). p.2876-2889
Abstract
Epithelial ovarian carcinoma has in general a poor prognosis since the vast majority of tumors are genomically unstable and clinically highly aggressive. This results in rapid progression of malignancy potential while still asymptomatic and thus in late diagnosis. It is therefore of critical importance to develop methods to diagnose epithelial ovarian carcinoma at its earliest developmental stage, that is, to differentiate between benign tissue and its early malignant transformed counterparts. Here we present a shotgun quantitative proteomic screen of benign and malignant epithelial ovarian tumors using iTRAQ technology with LC-MALDI-TOF/TOF and LC-ESI-QTOF MS/MS. Pathway analysis of the shotgun data pointed to the PI3K/Akt signaling... (More)
Epithelial ovarian carcinoma has in general a poor prognosis since the vast majority of tumors are genomically unstable and clinically highly aggressive. This results in rapid progression of malignancy potential while still asymptomatic and thus in late diagnosis. It is therefore of critical importance to develop methods to diagnose epithelial ovarian carcinoma at its earliest developmental stage, that is, to differentiate between benign tissue and its early malignant transformed counterparts. Here we present a shotgun quantitative proteomic screen of benign and malignant epithelial ovarian tumors using iTRAQ technology with LC-MALDI-TOF/TOF and LC-ESI-QTOF MS/MS. Pathway analysis of the shotgun data pointed to the PI3K/Akt signaling pathway as a significant discriminatory pathway. Selected candidate proteins from the shotgun screen were further confirmed in 51 individual tissue samples of normal, benign, borderline or malignant origin using LC-MRM analysis. The MRM profile demonstrated significant differences between the four groups separating the normal tissue samples from all tumor groups as well as perfectly separating the benign and malignant tumors with a ROC-area of 1. This work demonstrates the utility of using a shotgun approach to filter out a signature of a few proteins only that discriminates between the different sample groups. (Less)
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Contribution to journal
publication status
published
subject
in
Journal of Proteome Research
volume
11
issue
5
pages
2876 - 2889
publisher
The American Chemical Society
external identifiers
  • pmid:22471520
  • wos:000303492100021
  • scopus:84860603290
ISSN
1535-3893
DOI
10.1021/pr201258q
project
CREATE Health
language
English
LU publication?
yes
id
bc5f6a86-fa07-4fe3-be75-94d3465950fd (old id 2519865)
date added to LUP
2012-05-09 13:05:08
date last changed
2017-10-22 03:25:59
@article{bc5f6a86-fa07-4fe3-be75-94d3465950fd,
  abstract     = {Epithelial ovarian carcinoma has in general a poor prognosis since the vast majority of tumors are genomically unstable and clinically highly aggressive. This results in rapid progression of malignancy potential while still asymptomatic and thus in late diagnosis. It is therefore of critical importance to develop methods to diagnose epithelial ovarian carcinoma at its earliest developmental stage, that is, to differentiate between benign tissue and its early malignant transformed counterparts. Here we present a shotgun quantitative proteomic screen of benign and malignant epithelial ovarian tumors using iTRAQ technology with LC-MALDI-TOF/TOF and LC-ESI-QTOF MS/MS. Pathway analysis of the shotgun data pointed to the PI3K/Akt signaling pathway as a significant discriminatory pathway. Selected candidate proteins from the shotgun screen were further confirmed in 51 individual tissue samples of normal, benign, borderline or malignant origin using LC-MRM analysis. The MRM profile demonstrated significant differences between the four groups separating the normal tissue samples from all tumor groups as well as perfectly separating the benign and malignant tumors with a ROC-area of 1. This work demonstrates the utility of using a shotgun approach to filter out a signature of a few proteins only that discriminates between the different sample groups.},
  author       = {Waldemarson, Sofia and Krogh, Morten and Alaiya, Ayodele and Kirik, Ufuk and Schedvins, Kjell and Auer, Gert and Hansson, Karin M and Ossola, Reto and Aebersold, Ruedi and Lee, Hookeun and Malmström, Johan and James, Peter},
  issn         = {1535-3893},
  language     = {eng},
  number       = {5},
  pages        = {2876--2889},
  publisher    = {The American Chemical Society},
  series       = {Journal of Proteome Research},
  title        = {Protein Expression Changes in Ovarian Cancer during the Transition from Benign to Malignant.},
  url          = {http://dx.doi.org/10.1021/pr201258q},
  volume       = {11},
  year         = {2012},
}