Literature DB >> 19485423

Identification of differentially expressed proteins in triple-negative breast carcinomas using DIGE and mass spectrometry.

Daniela M Schulz1, Claudia Böllner, Gerry Thomas, Mike Atkinson, Irene Esposito, Heinz Höfler, Michaela Aubele.   

Abstract

We compared the protein expression pattern of triple-negative breast carcinomas (HER2-, ER-, PR-) versus those being positive for HER2 and negative for the hormone receptors (HER2+, ER-, PR-) by 2-D DIGE and mass spectrometry. We obtained differential expression patterns for several glycolytic enzymes (as for example MDH2, PGK1, TKT, Aldolase1), cytokeratins (CK7, 8, 9, 14, 17, 19), further structure proteins (vimentin, fibronectin, L-plastin), for NME1-NME2, lactoferrin, and members of the Annexin family. Western blot analysis and immunohistochemistry were conducted to verify the results. The identified marker proteins may advance a more detailed characterization of triple-negative breast cancers and may contribute to the development of better treatment strategies.

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Year:  2009        PMID: 19485423     DOI: 10.1021/pr900071h

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


  24 in total

1.  Lactoferrin-endothelin-1 axis contributes to the development and invasiveness of triple-negative breast cancer phenotypes.

Authors:  Ngoc-Han Ha; Vasudha S Nair; Divijendra Natha Sirigiri Reddy; Prakriti Mudvari; Kazufumi Ohshiro; Krishna Sumanth Ghanta; Suresh B Pakala; Da-Qiang Li; Luis Costa; Allan Lipton; Rajendra A Badwe; Suzanne Fuqua; Margaretha Wallon; George C Prendergast; Rakesh Kumar
Journal:  Cancer Res       Date:  2011-10-17       Impact factor: 12.701

2.  Proteomic studies in breast cancer (Review).

Authors:  Xian-Ju Qin; Bruce X Ling
Journal:  Oncol Lett       Date:  2012-01-18       Impact factor: 2.967

3.  Integrated proteomic, transcriptomic, and biological network analysis of breast carcinoma reveals molecular features of tumorigenesis and clinical relapse.

Authors:  Marcin Imielinski; Sangwon Cha; Tomas Rejtar; Elizabeth A Richardson; Barry L Karger; Dennis C Sgroi
Journal:  Mol Cell Proteomics       Date:  2012-01-12       Impact factor: 5.911

4.  Characterization and detection of cellular and proteomic alterations in stable stathmin-overexpressing, taxol-resistant BT549 breast cancer cells using offgel IEF/PAGE difference gel electrophoresis.

Authors:  Manimalha Balasubramani; Chitose Nakao; Guy T Uechi; John Cardamone; Kathy Kamath; Kristen L Leslie; Raghavan Balachandran; Leslie Wilson; Billy W Day; Mary Ann Jordan
Journal:  Mutat Res       Date:  2010-09-09       Impact factor: 2.433

5.  Characterization of acute renal allograft rejection by proteomic analysis of renal tissue in rat.

Authors:  Gang Chen; Jing-Bin Huang; Jie Mi; Yun-Feng He; Xiao-Hou Wu; Chun-Li Luo; Si-Min Liang; Jia-Bing Li; Ya-Xiong Tang; Jie Li
Journal:  Mol Biol Rep       Date:  2011-05-22       Impact factor: 2.316

6.  Proteomic characterization of Her2/neu-overexpressing breast cancer cells.

Authors:  Hexin Chen; Genaro Pimienta; Yiben Gu; Xu Sun; Jianjun Hu; Min-Sik Kim; Raghothama Chaerkady; Marjan Gucek; Robert N Cole; Saraswati Sukumar; Akhilesh Pandey
Journal:  Proteomics       Date:  2010-11       Impact factor: 3.984

Review 7.  Breast cancer proteomics: a review for clinicians.

Authors:  E R C G N Galvão; L M S Martins; J O Ibiapina; H M Andrade; S J H Monte
Journal:  J Cancer Res Clin Oncol       Date:  2011-04-05       Impact factor: 4.553

8.  Differential proteomics identification of HSP90 as potential serum biomarker in hepatocellular carcinoma by two-dimensional electrophoresis and mass spectrometry.

Authors:  Yiyi Sun; Zhihe Zang; Xiaohong Xu; Zhonglin Zhang; Ling Zhong; Wang Zan; Yan Zhao; Lin Sun
Journal:  Int J Mol Sci       Date:  2010-03-31       Impact factor: 5.923

Review 9.  Cellular iron metabolism in prognosis and therapy of breast cancer.

Authors:  Suzy V Torti; Frank M Torti
Journal:  Crit Rev Oncog       Date:  2013

10.  Diagnostic and prognostic significance of serum apolipoprotein C-I in triple-negative breast cancer based on mass spectrometry.

Authors:  Dongjian Song; Lifang Yue; Junjie Zhang; Shanshan Ma; Wei Zhao; Fei Guo; Yingzhong Fan; Heying Yang; Qiuliang Liu; Da Zhang; Ziqiang Xia; Pan Qin; Jia Jia; Ming Yue; Jiekai Yu; Shu Zheng; Fuquan Yang; Jiaxiang Wang
Journal:  Cancer Biol Ther       Date:  2016-06-03       Impact factor: 4.742

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