Literature DB >> 22587632

iTRAQ-based proteomic profiling of breast cancer cell response to doxorubicin and TRAIL.

Sharon Leong1, Andrea C Nunez, Mike Z Lin, Ben Crossett, Richard I Christopherson, Robert C Baxter.   

Abstract

Breast cancer is a molecularly heterogeneous disease, and predicting response to chemotherapy remains a major clinical challenge. To minimize adverse side-effects or cumulative toxicity in patients unlikely to benefit from treatment, biomarkers indicating treatment efficacy are critically needed. iTRAQ labeling coupled with multidimensional LC-MS/MS of the enriched mitochondria and endoplasmic reticulum fraction, key organelles regulating apoptosis, has led to the discovery of several differentially abundant proteins in breast cancer cells treated with the chemotherapeutic agent doxorubicin followed by the death receptor ligand, TRAIL, among 571 and 801 unique proteins identified in ZR-75-1 and MDA-MB-231 breast cancer cell lines, respectively. The differentially abundant proteins represent diverse biological processes associated with cellular assembly and organization, molecular transport, oxidative stress, cell motility, cell death, and cancer. Despite many differences in molecular phenotype between the two breast cancer cell lines, a comparison of their subproteomes following drug treatment revealed three proteins displaying common regulation: PPIB, AHNAK, and SLC1A5. Changes in these proteins, detected by iTRAQ, were confirmed by immunofluorescence, visualized by confocal microscopy. These novel potential biomarkers may have clinical utility for assessing response to cancer treatment and may provide insight into new therapeutic targets for breast cancer.

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Year:  2012        PMID: 22587632     DOI: 10.1021/pr2012335

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


  5 in total

1.  Discovery of Tamoxifen and N-Desmethyl Tamoxifen Protein Targets in MCF-7 Cells Using Large-Scale Protein Folding and Stability Measurements.

Authors:  Ryenne N Ogburn; Lorrain Jin; He Meng; Michael C Fitzgerald
Journal:  J Proteome Res       Date:  2017-10-11       Impact factor: 4.466

2.  Fluvastatin mediated breast cancer cell death: a proteomic approach to identify differentially regulated proteins in MDA-MB-231 cells.

Authors:  Anantha Koteswararao Kanugula; Vishnu M Dhople; Uwe Völker; Ramesh Ummanni; Srigiridhar Kotamraju
Journal:  PLoS One       Date:  2014-09-30       Impact factor: 3.240

3.  Proteomic analysis of differentially expressed proteins in the serum of patients with acute renal allograft rejection using iTRAQ labelling technology.

Authors:  Yue Zhang; Minglin Ou; Hua Lin; Liusheng Lai; Huaizhou Chen; Jiejing Chen; Weiguo Sui; Wen Xue; Ruohan Zhang; Qing Gan; Donge Tang; Xuyong Sun; Jianhui Dong; Qiang Yan; Yong Dai
Journal:  Mol Med Rep       Date:  2020-07-06       Impact factor: 2.952

4.  AHNAK and inflammatory markers predict poor survival in laryngeal carcinoma.

Authors:  Claudia A Dumitru; Agnes Bankfalvi; Xiang Gu; Reinhard Zeidler; Sven Brandau; Stephan Lang
Journal:  PLoS One       Date:  2013-02-07       Impact factor: 3.240

5.  Characterization of the Tyrosine Kinase-Regulated Proteome in Breast Cancer by Combined use of RNA interference (RNAi) and Stable Isotope Labeling with Amino Acids in Cell Culture (SILAC) Quantitative Proteomics.

Authors:  Justin Stebbing; Hua Zhang; Yichen Xu; Arnhild Grothey; Paul Ajuh; Nicos Angelopoulos; Georgios Giamas
Journal:  Mol Cell Proteomics       Date:  2015-06-18       Impact factor: 5.911

  5 in total

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