Literature DB >> 22414580

Proteomic portrait of human breast cancer progression identifies novel prognostic markers.

Tamar Geiger1, Stephen F Madden, William M Gallagher, Juergen Cox, Matthias Mann.   

Abstract

Breast cancer is the second leading cause of cancer death for women in the United States. Of the different subtypes, estrogen receptor-negative (ER(-)) tumors, which are ErbB2+ or triple-negative, carry a relatively poor prognosis. In this study, we used system-wide analysis of breast cancer proteomes to identify proteins that are associated with the progression of ER(-) tumors. Our two-step approach included an initial deep analysis of cultured cells that were obtained from tumors of defined breast cancer stages, followed by a validation set using human breast tumors. Using high-resolution mass spectrometry and quantification by Stable Isotope Labeling with Amino Acids in Cell Culture (SILAC), we identified 8,750 proteins and quantified 7,800 of them. A stage-specific signature was extracted and validated by mass spectrometry and immunohistochemistry on tissue microarrays. Overall, the proteomics signature reflected both a global loss of tissue architecture and a number of metabolic changes in the transformed cells. Proteomic analysis also identified high levels of IDH2 and CRABP2 and low levels of SEC14L2 to be prognostic markers for overall breast cancer survival. Together, our findings suggest that global proteomic analysis provides information about the protein changes specific to ER(-) breast tumor progression as well as important prognostic information. ©2012 AACR

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22414580     DOI: 10.1158/0008-5472.CAN-11-3711

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   13.312


  49 in total

1.  Quantitative analysis of energy metabolic pathways in MCF-7 breast cancer cells by selected reaction monitoring assay.

Authors:  Andrei P Drabovich; Maria P Pavlou; Apostolos Dimitromanolakis; Eleftherios P Diamandis
Journal:  Mol Cell Proteomics       Date:  2012-04-25       Impact factor: 5.911

2.  Proteotranscriptomic Profiling of 231-BR Breast Cancer Cells: Identification of Potential Biomarkers and Therapeutic Targets for Brain Metastasis.

Authors:  Matthew D Dun; Robert J Chalkley; Sam Faulkner; Sheridan Keene; Kelly A Avery-Kiejda; Rodney J Scott; Lasse G Falkenby; Murray J Cairns; Martin R Larsen; Ralph A Bradshaw; Hubert Hondermarck
Journal:  Mol Cell Proteomics       Date:  2015-06-03       Impact factor: 5.911

3.  A Scalable Approach for Protein False Discovery Rate Estimation in Large Proteomic Data Sets.

Authors:  Mikhail M Savitski; Mathias Wilhelm; Hannes Hahne; Bernhard Kuster; Marcus Bantscheff
Journal:  Mol Cell Proteomics       Date:  2015-05-17       Impact factor: 5.911

4.  Global analysis of protein folding thermodynamics for disease state characterization.

Authors:  Jagat Adhikari; Graham M West; Michael C Fitzgerald
Journal:  J Proteome Res       Date:  2015-04-09       Impact factor: 4.466

5.  Large-Scale Analysis of Breast Cancer-Related Conformational Changes in Proteins Using Limited Proteolysis.

Authors:  Fang Liu; Michael C Fitzgerald
Journal:  J Proteome Res       Date:  2016-11-17       Impact factor: 4.466

6.  The proteomic landscape of triple-negative breast cancer.

Authors:  Robert T Lawrence; Elizabeth M Perez; Daniel Hernández; Chris P Miller; Kelsey M Haas; Hanna Y Irie; Su-In Lee; C Anthony Blau; Judit Villén
Journal:  Cell Rep       Date:  2015-04-16       Impact factor: 9.423

7.  Pathway-based personalized analysis of breast cancer expression data.

Authors:  Anna Livshits; Anna Git; Garold Fuks; Carlos Caldas; Eytan Domany
Journal:  Mol Oncol       Date:  2015-04-29       Impact factor: 6.603

8.  Bardoxolone methyl (CDDO-Me or RTA402) induces cell cycle arrest, apoptosis and autophagy via PI3K/Akt/mTOR and p38 MAPK/Erk1/2 signaling pathways in K562 cells.

Authors:  Xin-Yu Wang; Xue-Hong Zhang; Li Peng; Zheng Liu; Yin-Xue Yang; Zhi-Xu He; Hong-Wan Dang; Shu-Feng Zhou
Journal:  Am J Transl Res       Date:  2017-10-15       Impact factor: 4.060

9.  Expression and clinical significance of CRABP1 and CRABP2 in non-small cell lung cancer.

Authors:  Irina Favorskaya; Yaroslav Kainov; Galina Chemeris; Andrei Komelkov; Irina Zborovskaya; Elena Tchevkina
Journal:  Tumour Biol       Date:  2014-07-18

10.  Systemic alteration of cell-surface and secreted glycoprotein expression in malignant breast cancer cell lines.

Authors:  Leslie C Timpe; Roger Yen; Nicole V Haste; Christina Litsakos-Cheung; Ten-Yang Yen; Bruce A Macher
Journal:  Glycobiology       Date:  2013-08-04       Impact factor: 4.313

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.