Literature DB >> 21334202

Phosphoprotein pathway profiling of ovarian carcinoma for the identification of potential new targets for therapy.

Dana Faratian1, Inhwa Um, Danielle S Wilson, Peter Mullen, Simon P Langdon, David J Harrison.   

Abstract

Advances in predicting responses to therapies in ovarian cancer have not matched progress seen in other solid-organ tumours: ovarian cancer remains a poor-prognosis disease. There has been a paradigm shift in molecular therapeutics away from targeting individual molecules to whole biological pathways. The aim of this study was to quantitatively measure the activation state of druggable oncogenic pathways by generating a phosphoprotein profile in cancer tissues, in order to establish associations with clinicopathological parameters and to identify treatment groups for targeted therapy. In total we analysed the expression of ten phosphoproteins within eight signalling pathways (PI3K, MAPK, β-catenin, STAT, NFκB, ER, cell cycle and DNA damage response), proliferation (phospho-histone H3 and Ki67) and apoptosis (activated caspase 3), in two independent cohorts of ovarian cancers using quantitative immunofluorescence image analysis. Data were analysed by unsupervised and K-means clustering to determine new biologically relevant groups. Expression of markers of the five main pathways deregulated by mutation or copy number changes was different between histological subtypes. Four main clusters with distinct phosphoprotein profiles were identified, which were significantly associated with survival in univariate analysis, and which had distinct patterns of pathway expression reproducible between clinical cohorts. These pathway profiles suggest novel therapeutic regimens for the treatment of ovarian cancer, such as MAPK-inhibition in serous or clear cell carcinomas, or combined inhibition of STAT, NFκB and WNT signalling.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21334202     DOI: 10.1016/j.ejca.2011.01.014

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  11 in total

Review 1.  What can molecular pathology contribute to the management of renal cell carcinoma?

Authors:  Grant D Stewart; Fiach C O'Mahony; Thomas Powles; Antony C P Riddick; David J Harrison; Dana Faratian
Journal:  Nat Rev Urol       Date:  2011-04-12       Impact factor: 14.432

2.  The association of PI3 kinase signaling and chemoresistance in advanced ovarian cancer.

Authors:  Craig P Carden; Adam Stewart; Parames Thavasu; Emma Kipps; Lorna Pope; Mateus Crespo; Susana Miranda; Gerhardt Attard; Michelle D Garrett; Paul A Clarke; Paul Workman; Johann S de Bono; Martin Gore; Stan B Kaye; Udai Banerji
Journal:  Mol Cancer Ther       Date:  2012-05-03       Impact factor: 6.261

Review 3.  Application of molecular technologies for phosphoproteomic analysis of clinical samples.

Authors:  M Pierobon; J Wulfkuhle; L Liotta; E Petricoin
Journal:  Oncogene       Date:  2014-03-10       Impact factor: 9.867

4.  Expression of steroid receptor coactivator 3 in ovarian epithelial cancer is a poor prognostic factor and a marker for platinum resistance.

Authors:  C Palmieri; O Gojis; B Rudraraju; C Stamp-Vincent; D Wilson; S Langdon; C Gourley; D Faratian
Journal:  Br J Cancer       Date:  2013-05-07       Impact factor: 7.640

5.  The use of automated quantitative analysis to evaluate epithelial-to-mesenchymal transition associated proteins in clear cell renal cell carcinoma.

Authors:  Fiach C O'Mahony; Dana Faratian; James Varley; Jyoti Nanda; Marianna Theodoulou; Antony C P Riddick; David J Harrison; Grant D Stewart
Journal:  PLoS One       Date:  2012-02-21       Impact factor: 3.240

6.  Dynamic modulation of phosphoprotein expression in ovarian cancer xenograft models.

Authors:  Antonis Koussounadis; Simon P Langdon; Inhwa Um; Charlene Kay; Kyle E Francis; David J Harrison; V Anne Smith
Journal:  BMC Cancer       Date:  2016-03-10       Impact factor: 4.430

7.  Carbonic anhydrase 9 expression increases with vascular endothelial growth factor-targeted therapy and is predictive of outcome in metastatic clear cell renal cancer.

Authors:  Grant D Stewart; Fiach C O'Mahony; Alexander Laird; Sukaina Rashid; Sarah A Martin; Lel Eory; Alexander L R Lubbock; Jyoti Nanda; Marie O'Donnell; Alan Mackay; Peter Mullen; S Alan McNeill; Antony C P Riddick; Michael Aitchison; Daniel Berney; Axel Bex; Ian M Overton; David J Harrison; Thomas Powles
Journal:  Eur Urol       Date:  2014-05-10       Impact factor: 20.096

8.  Novel Monte Carlo approach quantifies data assemblage utility and reveals power of integrating molecular and clinical information for cancer prognosis.

Authors:  Wim Verleyen; Simon P Langdon; Dana Faratian; David J Harrison; V Anne Smith
Journal:  Sci Rep       Date:  2015-10-27       Impact factor: 4.379

9.  Relationship between differentially expressed mRNA and mRNA-protein correlations in a xenograft model system.

Authors:  Antonis Koussounadis; Simon P Langdon; In Hwa Um; David J Harrison; V Anne Smith
Journal:  Sci Rep       Date:  2015-06-08       Impact factor: 4.379

10.  Expression of glycolytic enzymes in ovarian cancers and evaluation of the glycolytic pathway as a strategy for ovarian cancer treatment.

Authors:  Chrysi Xintaropoulou; Carol Ward; Alan Wise; Suzanna Queckborner; Arran Turnbull; Caroline O Michie; Alistair R W Williams; Tzyvia Rye; Charlie Gourley; Simon P Langdon
Journal:  BMC Cancer       Date:  2018-06-05       Impact factor: 4.430

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