Literature DB >> 21136615

Proteomic profiling of 13 paired ductal infiltrating breast carcinomas and non-tumoral adjacent counterparts.

Ida Pucci-Minafra1, Patrizia Cancemi, Maria Rita Marabeti, Nadia Ninfa Albanese, Gianluca Di Cara, Pietra Taormina, Antonio Marrazzo.   

Abstract

According to recent statistics, breast cancer remains one of the leading causes of death among women in Western countries. Breast cancer is a complex and heterogeneous disease, presently classified into several subtypes according to their cellular origin. Among breast cancer histotypes, infiltrating ductal carcinoma represents the most common and potentially aggressive form. Despite the current progress achieved in early cancer detection and treatment, including the new generation of molecular therapies, there is still need for identification of multiparametric biomarkers capable of discriminating between cancer subtypes and predicting cancer progression for personalized therapies. One established step in this direction is the proteomic strategy, expected to provide enough information on breast cancer profiling. To this aim, in the present study we analyzed 13 breast cancer tissues and their matched non-tumoral tissues by 2-DE. Collectively, we identified 51 protein spots, corresponding to 34 differentially expressed proteins, which may represent promising candidate biomarkers for molecular-based diagnosis of breast cancer and for pattern discovery. The relevance of these proteins as factors contributing to breast carcinogenesis is discussed.
Copyright © 2007 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Year:  2006        PMID: 21136615     DOI: 10.1002/prca.200600334

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


  11 in total

Review 1.  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

2.  Mass spectrometric characterization of protein structure details refines the proteome signature for invasive ductal breast carcinoma.

Authors:  Claudia Röwer; Cornelia Koy; Michael Hecker; Toralf Reimer; Bernd Gerber; Hans-Jürgen Thiesen; Michael O Glocker
Journal:  J Am Soc Mass Spectrom       Date:  2011-02-08       Impact factor: 3.109

3.  A Catalogue of Altered Salivary Proteins Secondary to Invasive Ductal Carcinoma: A Novel In Vivo Paradigm to Assess Breast Cancer Progression.

Authors:  Charles F Streckfus; Lenora Bigler
Journal:  Sci Rep       Date:  2016-08-01       Impact factor: 4.379

4.  Retrospective Proteomic Screening of 100 Breast Cancer Tissues.

Authors:  Ida Pucci-Minafra; Gianluca Di Cara; Rosa Musso; Patrizia Cancemi; Nadia Ninfa Albanese; Elena Roz; Salvatore Minafra
Journal:  Proteomes       Date:  2017-07-07

5.  Anticancer activity of biogenerated silver nanoparticles: an integrated proteomic investigation.

Authors:  Miriam Buttacavoli; Nadia Ninfa Albanese; Gianluca Di Cara; Rosa Alduina; Claudia Faleri; Michele Gallo; Giuseppe Pizzolanti; Giuseppe Gallo; Salvatore Feo; Franco Baldi; Patrizia Cancemi
Journal:  Oncotarget       Date:  2017-12-23

6.  Proteomic Profiling of Colon Cancer Tissues: Discovery of New Candidate Biomarkers.

Authors:  Miriam Buttacavoli; Nadia Ninfa Albanese; Elena Roz; Ida Pucci-Minafra; Salvatore Feo; Patrizia Cancemi
Journal:  Int J Mol Sci       Date:  2020-04-28       Impact factor: 5.923

7.  New Insights into the Occurrence of Matrix Metalloproteases -2 and -9 in a Cohort of Breast Cancer Patients and Proteomic Correlations.

Authors:  Gianluca Di Cara; Maria Rita Marabeti; Rosa Musso; Ignazio Riili; Patrizia Cancemi; Ida Pucci Minafra
Journal:  Cells       Date:  2018-07-28       Impact factor: 6.600

8.  Expression of Alpha-Enolase (ENO1), Myc Promoter-Binding Protein-1 (MBP-1) and Matrix Metalloproteinases (MMP-2 and MMP-9) Reflect the Nature and Aggressiveness of Breast Tumors.

Authors:  Patrizia Cancemi; Miriam Buttacavoli; Elena Roz; Salvatore Feo
Journal:  Int J Mol Sci       Date:  2019-08-14       Impact factor: 5.923

9.  Sample prep for proteomics of breast cancer: proteomics and gene ontology reveal dramatic differences in protein solubilization preferences of radioimmunoprecipitation assay and urea lysis buffers.

Authors:  Lambert C M Ngoka
Journal:  Proteome Sci       Date:  2008-10-24       Impact factor: 2.480

10.  A multiomics analysis of S100 protein family in breast cancer.

Authors:  Patrizia Cancemi; Miriam Buttacavoli; Gianluca Di Cara; Nadia Ninfa Albanese; Serena Bivona; Ida Pucci-Minafra; Salvatore Feo
Journal:  Oncotarget       Date:  2018-06-26
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