Literature DB >> 20523764

Comparative proteomic analysis of low stage and high stage endometrioid ovarian adenocarcinomas.

Hyeyeung Kim1, Rong Wu, Kathleen R Cho, Dafydd G Thomas, Gabrielle Gossner, J Rebecca Liu, Thomas J Giordano, Kerby A Shedden, David E Misek, David M Lubman.   

Abstract

Ovarian cancer, the second most common gynecological malignancy, accounts for 3% of all cancers among women in the United States, and has a high mortality rate, largely because existing therapies for widespread disease are rarely curative. Ovarian endometrioid adenocarcinoma (OEA) accounts for about 20% of the overall incidence of all ovarian cancer. We have used proteomics profiling to characterize low stage (FIGO stage 1 or 2) versus high stage (FIGO stage 3 or 4) human OEAs. In general, the low stage tumors lacked p53 mutations and had frequent CTNNB1, PTEN, and/or PIK3CA mutations. The high stage tumors had mutant p53, were usually high grade, and lacked mutations predicted to deregulate Wnt/β-catenin and PI3K/Pten/Akt signaling. We utilized 2-D liquid-based separation/mass mapping techniques to elucidate molecular weight and pI measurements of the differentially expressed intact proteins. We generated 2-D protein mass maps to facilitate the analysis of protein expression between both the low stage and high stage tumors. These mass maps (over a pI range of 5.6-4.6) revealed that the low stage OEAs demonstrated protein over-expression at the lower pI ranges (pI 4.8-4.6) in comparison to the high stage tumors, which demonstrated protein over-expression in the higher pI ranges (pI 5.4-5.2). These data suggest that both low and high stage OEAs have characteristic pI signatures of abundant protein expression probably reflecting, at least in part, the different signaling pathway defects that characterize each group. In this study, the low stage OEAs were distinguishable from high stage tumors based upon the proteomic profiles. Interestingly, when only high-grade (grade 2 or 3) OEAs were included in the analysis, the tumors still tended to cluster according to stage, suggesting that the altered protein expression was not solely dependent upon tumor cell differentiation. Further, these protein profiles clearly distinguish OEA from other types of ovarian cancer at the protein level.

Entities:  

Year:  2008        PMID: 20523764      PMCID: PMC2879670          DOI: 10.1002/prca.200780004

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  44 in total

1.  A two-dimensional liquid-phase separation method coupled with mass spectrometry for proteomic studies of breast cancer and biomarker identification.

Authors:  Rick L Hamler; Kan Zhu; Nathan S Buchanan; Paweena Kreunin; Maureen T Kachman; Fred R Miller; David M Lubman
Journal:  Proteomics       Date:  2004-03       Impact factor: 3.984

2.  Frequent PTEN/MMAC mutations in endometrioid but not serous or mucinous epithelial ovarian tumors.

Authors:  K Obata; S J Morland; R H Watson; A Hitchcock; G Chenevix-Trench; E J Thomas; I G Campbell
Journal:  Cancer Res       Date:  1998-05-15       Impact factor: 12.701

3.  c-IAP1 is cleaved by caspases to produce a proapoptotic C-terminal fragment.

Authors:  R J Clem; T T Sheu; B W Richter; W W He; N A Thornberry; C S Duckett; J M Hardwick
Journal:  J Biol Chem       Date:  2000-12-05       Impact factor: 5.157

4.  Anti-apoptotic proteins, apoptotic and proliferative parameters and their prognostic significance in cervical carcinoma.

Authors:  S S Liu; B K Tsang; A N Cheung; W C Xue; D K Cheng; T Y Ng; L C Wong; H Y Ngan
Journal:  Eur J Cancer       Date:  2001-06       Impact factor: 9.162

5.  Cancer statistics, 2005.

Authors:  Ahmedin Jemal; Taylor Murray; Elizabeth Ward; Alicia Samuels; Ram C Tiwari; Asma Ghafoor; Eric J Feuer; Michael J Thun
Journal:  CA Cancer J Clin       Date:  2005 Jan-Feb       Impact factor: 508.702

6.  Proteomic analysis and identification of new biomarkers and therapeutic targets for invasive ovarian cancer.

Authors:  Monica Brown Jones; Henry Krutzsch; Hungjun Shu; Yingming Zhao; Lance A Liotta; Elise C Kohn; Emmanuel F Petricoin
Journal:  Proteomics       Date:  2002-01       Impact factor: 3.984

7.  Use of proteomic patterns in serum to identify ovarian cancer.

Authors:  Emanuel F Petricoin; Ali M Ardekani; Ben A Hitt; Peter J Levine; Vincent A Fusaro; Seth M Steinberg; Gordon B Mills; Charles Simone; David A Fishman; Elise C Kohn; Lance A Liotta
Journal:  Lancet       Date:  2002-02-16       Impact factor: 79.321

8.  Computational analysis and experimental validation of tumor-associated alternative RNA splicing in human cancer.

Authors:  Zhining Wang; H Shuen Lo; Howard Yang; Sheryl Gere; Ying Hu; Kenneth H Buetow; Maxwell P Lee
Journal:  Cancer Res       Date:  2003-02-01       Impact factor: 12.701

9.  Mouse model of human ovarian endometrioid adenocarcinoma based on somatic defects in the Wnt/beta-catenin and PI3K/Pten signaling pathways.

Authors:  Rong Wu; Neali Hendrix-Lucas; Rork Kuick; Yali Zhai; Donald R Schwartz; Aytekin Akyol; Samir Hanash; David E Misek; Hidetaka Katabuchi; Bart O Williams; Eric R Fearon; Kathleen R Cho
Journal:  Cancer Cell       Date:  2007-04       Impact factor: 31.743

10.  Mutational analysis of beta-catenin gene in Japanese ovarian carcinomas: frequent mutations in endometrioid carcinomas.

Authors:  S Sagae; K Kobayashi; Y Nishioka; M Sugimura; S Ishioka; M Nagata; K Terasawa; T Tokino; R Kudo
Journal:  Jpn J Cancer Res       Date:  1999-05
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  8 in total

Review 1.  Breast and ovarian cancers: a survey and possible roles for the cell surface heparan sulfate proteoglycans.

Authors:  Atsuko Yoneda; Maria E Lendorf; John R Couchman; Hinke A B Multhaupt
Journal:  J Histochem Cytochem       Date:  2012-01       Impact factor: 2.479

2.  WNT7A regulates tumor growth and progression in ovarian cancer through the WNT/β-catenin pathway.

Authors:  Shin Yoshioka; Mandy L King; Sophia Ran; Hiroshi Okuda; James A MacLean; Mary E McAsey; Norihiro Sugino; Laurent Brard; Kounosuke Watabe; Kanako Hayashi
Journal:  Mol Cancer Res       Date:  2012-01-09       Impact factor: 5.852

Review 3.  MALDI Imaging Mass Spectrometry (MALDI-IMS)-application of spatial proteomics for ovarian cancer classification and diagnosis.

Authors:  Johan O R Gustafsson; Martin K Oehler; Andrew Ruszkiewicz; Shaun R McColl; Peter Hoffmann
Journal:  Int J Mol Sci       Date:  2011-01-21       Impact factor: 5.923

Review 4.  Wnt5a Signaling in Normal and Cancer Stem Cells.

Authors:  Yan Zhou; Thomas J Kipps; Suping Zhang
Journal:  Stem Cells Int       Date:  2017-04-12       Impact factor: 5.443

5.  Effect of targeted silencing of IL-8 on in vitro migration and invasion of SKOV3 ovarian cancer cells.

Authors:  Yanyu Li; Ling Liu; Zeyuan Yin; Hui Xu; Shuang Li; Wei Tao; Hui Cheng; Lei Du; Xueyuan Zhou; Bei Zhang
Journal:  Oncol Lett       Date:  2016-12-16       Impact factor: 2.967

6.  Phosphoproteomics of Primary Cells Reveals Druggable Kinase Signatures in Ovarian Cancer.

Authors:  Chiara Francavilla; Michela Lupia; Kalliopi Tsafou; Alessandra Villa; Katarzyna Kowalczyk; Rosa Rakownikow Jersie-Christensen; Giovanni Bertalot; Stefano Confalonieri; Søren Brunak; Lars J Jensen; Ugo Cavallaro; Jesper V Olsen
Journal:  Cell Rep       Date:  2017-03-28       Impact factor: 9.423

Review 7.  Mass spectrometry-based proteomics techniques and their application in ovarian cancer research.

Authors:  Agata Swiatly; Szymon Plewa; Jan Matysiak; Zenon J Kokot
Journal:  J Ovarian Res       Date:  2018-10-01       Impact factor: 4.234

Review 8.  Wnt5a Signaling in Cancer.

Authors:  Marwa S Asem; Steven Buechler; Rebecca Burkhalter Wates; Daniel L Miller; M Sharon Stack
Journal:  Cancers (Basel)       Date:  2016-08-26       Impact factor: 6.639

  8 in total

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