Literature DB >> 22471520

Protein expression changes in ovarian cancer during the transition from benign to malignant.

Sofia Waldemarson1, Morten Krogh, Ayodele Alaiya, Ufuk Kirik, Kjell Schedvins, Gert Auer, Karin M Hansson, Reto Ossola, Ruedi Aebersold, Hookeun Lee, Johan Malmström, Peter James.   

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.

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Year:  2012        PMID: 22471520     DOI: 10.1021/pr201258q

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  23 in total

1.  Proteomics of follicular fluid from women with polycystic ovary syndrome suggests molecular defects in follicular development.

Authors:  Aditi S Ambekar; Dhanashree S Kelkar; Sneha M Pinto; Rakesh Sharma; Indira Hinduja; Kusum Zaveri; Akhilesh Pandey; T S Keshava Prasad; Harsha Gowda; Srabani Mukherjee
Journal:  J Clin Endocrinol Metab       Date:  2014-11-13       Impact factor: 5.958

2.  A cancer-related protein 14-3-3ζ is a potential tumor-associated antigen in immunodiagnosis of hepatocellular carcinoma.

Authors:  Mei Liu; Xinxin Liu; Pengfei Ren; Jitian Li; Yurong Chai; Su-Jun Zheng; Yu Chen; Zhong-Ping Duan; Ning Li; Jian-Ying Zhang
Journal:  Tumour Biol       Date:  2014-01-04

3.  A quantitative proteomics-based signature of platinum sensitivity in ovarian cancer cell lines.

Authors:  Gaofeng Fan; Kazimierz O Wrzeszczynski; Cexiong Fu; Gang Su; Darryl J Pappin; Robert Lucito; Nicholas K Tonks
Journal:  Biochem J       Date:  2015-02-01       Impact factor: 3.857

4.  Reproducible quantification of cancer-associated proteins in body fluids using targeted proteomics.

Authors:  Ruth Hüttenhain; Martin Soste; Nathalie Selevsek; Hannes Röst; Atul Sethi; Christine Carapito; Terry Farrah; Eric W Deutsch; Ulrike Kusebauch; Robert L Moritz; Emma Niméus-Malmström; Oliver Rinner; Ruedi Aebersold
Journal:  Sci Transl Med       Date:  2012-07-11       Impact factor: 17.956

5.  Quantitative proteomic analysis of mitochondria from human ovarian cancer cells and their paclitaxel-resistant sublines.

Authors:  Ming Chen; Hong Huang; Haojie He; Wantao Ying; Xin Liu; Zhiqin Dai; Jie Yin; Ning Mao; Xiaohong Qian; Lingya Pan
Journal:  Cancer Sci       Date:  2015-07-24       Impact factor: 6.716

6.  A high M1/M2 ratio of tumor-associated macrophages is associated with extended survival in ovarian cancer patients.

Authors:  Meiying Zhang; Yifeng He; Xiangjun Sun; Qing Li; Wenjing Wang; Aimin Zhao; Wen Di
Journal:  J Ovarian Res       Date:  2014-02-08       Impact factor: 4.234

Review 7.  Mass spectrometry for translational proteomics: progress and clinical implications.

Authors:  Erin Shammel Baker; Tao Liu; Vladislav A Petyuk; Kristin E Burnum-Johnson; Yehia M Ibrahim; Gordon A Anderson; Richard D Smith
Journal:  Genome Med       Date:  2012-08-31       Impact factor: 11.117

8.  Potential tumor biomarkers identified in ovarian cyst fluid by quantitative proteomic analysis, iTRAQ.

Authors:  Björg Kristjansdottir; Kristina Levan; Karolina Partheen; Elisabet Carlsohn; Karin Sundfeldt
Journal:  Clin Proteomics       Date:  2013-04-04       Impact factor: 3.988

9.  Investigating the clinical potential for 14-3-3 zeta protein to serve as a biomarker for epithelial ovarian cancer.

Authors:  Ioannis Hatzipetros; Peter Gocze; Tamas Koszegi; Akos Jaray; Laszlo Szereday; Beata Polgar; Nelli Farkas; Balint Farkas
Journal:  J Ovarian Res       Date:  2013-11-15       Impact factor: 4.234

10.  Proteomic identification of fucosylated haptoglobin alpha isoforms in ascitic fluids and its localization in ovarian carcinoma tissues from Mexican patients.

Authors:  Olga Lilia Garibay-Cerdenares; Verónica Ivonne Hernández-Ramírez; Juan Carlos Osorio-Trujillo; Magdalena Hernández-Ortíz; Dolores Gallardo-Rincón; David Cantú de León; Sergio Encarnación-Guevara; Julio César Villegas-Pineda; Patricia Talamás-Rohana
Journal:  J Ovarian Res       Date:  2014-02-27       Impact factor: 4.234

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