Literature DB >> 18973835

A proteomic approach to paclitaxel chemoresistance in ovarian cancer cell lines.

Michela Di Michele1, Anna Della Corte, Lucia Cicchillitti, Piero Del Boccio, Andrea Urbani, Cristiano Ferlini, Giovanni Scambia, Maria Benedetta Donati, Domenico Rotilio.   

Abstract

Ovarian cancer is the leading cause of gynaecological cancer mortality. Paclitaxel is used in the first line treatment of ovarian cancer, but acquired resistance represents the most important clinical problem and a major obstacle to a successful therapy. Several mechanisms have been implicated in paclitaxel resistance, however this process has not yet been fully explained. To better understand molecular resistance mechanisms, a comparative proteomic approach was undertaken on the human epithelial ovarian cancer cell lines A2780 (paclitaxel sensitive), A2780TC1 and OVCAR3 (acquired and inherently resistant). Proteins associated with chemoresistance process were identified by DIGE coupled with mass spectrometry (MALDI-TOF and LC-MS/MS). Out of the 172 differentially expressed proteins in pairwise comparisons among the three cell lines, 151 were identified and grouped into ten main functional classes. Most of the proteins were related to the category of stress response (24%), metabolism (22%), protein biosynthesis (15%) and cell cycle and apoptosis (11%), suggesting that alterations of those processes might be involved in paclitaxel resistance mechanisms. This is the first direct proteomic comparison of paclitaxel sensitive and resistant ovarian cancer cells and may be useful for further studies of resistance mechanisms and screening of resistance biomarkers for the development of tailored therapeutic strategies.

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Year:  2008        PMID: 18973835     DOI: 10.1016/j.bbapap.2008.09.017

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  13 in total

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Review 3.  Proteomics and ovarian cancer: integrating proteomics information into clinical care.

Authors:  John L Hays; Geoffrey Kim; Iulia Giuroiu; Elise C Kohn
Journal:  J Proteomics       Date:  2010-06-01       Impact factor: 4.044

4.  Proteomics Analysis of Ovarian Cancer Cell Lines and Tissues Reveals Drug Resistance-associated Proteins.

Authors:  Isa N Cruz; Helen M Coley; Holger B Kramer; Thumuluru Kavitah Madhuri; Nur A M Safuwan; Ana Rita Angelino; Min Yang
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5.  Pituitary Adenylate Cyclase-Activating Polypeptide (PACAP) impairs the regulation of apoptosis in megakaryocytes by activating NF-κB: a proteomic study.

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6.  Mathematical deconvolution uncovers the genetic regulatory signal of cancer cellular heterogeneity on resistance to paclitaxel.

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Journal:  Mol Genet Genomics       Date:  2017-04-06       Impact factor: 3.291

7.  TXNDC17 promotes paclitaxel resistance via inducing autophagy in ovarian cancer.

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Journal:  Autophagy       Date:  2015       Impact factor: 16.016

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Journal:  Mol Cell Proteomics       Date:  2014-08-05       Impact factor: 5.911

Review 9.  Clinical application of proteomics in ovarian cancer prevention and treatment.

Authors:  Francesco Meani; Sergio Pecorelli; Lance Liotta; Emanuel F Petricoin
Journal:  Mol Diagn Ther       Date:  2009       Impact factor: 4.074

10.  Alterations in ovarian cancer cell adhesion drive taxol resistance by increasing microtubule dynamics in a FAK-dependent manner.

Authors:  Daniel J McGrail; Niti N Khambhati; Mark X Qi; Krishan S Patel; Nithin Ravikumar; Chandler P Brandenburg; Michelle R Dawson
Journal:  Sci Rep       Date:  2015-04-17       Impact factor: 4.379

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