Literature DB >> 15585078

Proteomic analysis of human breast cancer tissue with laser-capture microdissection and reverse-phase protein microarrays.

Stacy M Cowherd1, Virginia A Espina, Emmanuel F Petricoin, Lance A Liotta.   

Abstract

Despite recent advances in breast cancer therapy, women with similar types of breast cancers may respond very differently to standard treatments. The emerging field of clinical proteomics has the potential to revolutionize breast cancer therapy. The ultimate goal of clinical proteomics is to characterize information flow through protein cascades for individual patients. After the protein networks have been elucidated, drug therapies may be specially designed for each patient. The following review describes the proteomic technologies of laser-capture microdissection (LCM) and reverse-phase protein arrays (RPPAs). These technologies allow scientists to analyze relative abundances of key cellular signaling proteins from pure cell populations. Cell survival and apoptotic protein pathways are currently being monitored with LCM and RPPAs at the National Institutes of Health, in phase II clinical trials of metastatic breast and ovarian cancers. Ultimately, proteomics will become an integral component of tracking and managing individualized breast cancer therapy.

Entities:  

Mesh:

Year:  2004        PMID: 15585078     DOI: 10.3816/cbc.2004.n.046

Source DB:  PubMed          Journal:  Clin Breast Cancer        ISSN: 1526-8209            Impact factor:   3.225


  12 in total

1.  Protein analysis through Western blot of cells excised individually from human brain and muscle tissue.

Authors:  A O Koob; L Bruns; C Prassler; E Masliah; T Klopstock; A Bender
Journal:  Anal Biochem       Date:  2012-03-05       Impact factor: 3.365

Review 2.  Personalized medicine and development of targeted therapies: The upcoming challenge for diagnostic molecular pathology. A review.

Authors:  Manfred Dietel; Christine Sers
Journal:  Virchows Arch       Date:  2006-04-22       Impact factor: 4.064

3.  Applications of protein microarrays for biomarker discovery.

Authors:  Niroshan Ramachandran; Sanjeeva Srivastava; Joshua Labaer
Journal:  Proteomics Clin Appl       Date:  2008-09-10       Impact factor: 3.494

Review 4.  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

5.  Enhanced interferon signaling pathway in oral cancer revealed by quantitative proteome analysis of microdissected specimens using 16O/18O labeling and integrated two-dimensional LC-ESI-MALDI tandem MS.

Authors:  Lang-Ming Chi; Chien-Wei Lee; Kai-Ping Chang; Sheng-Po Hao; Hang-Mao Lee; Ying Liang; Chuen Hsueh; Chia-Jung Yu; I-Neng Lee; Yin-Ju Chang; Shih-Ying Lee; Yuan-Ming Yeh; Yu-Sun Chang; Kun-Yi Chien; Jau-Song Yu
Journal:  Mol Cell Proteomics       Date:  2009-03-18       Impact factor: 5.911

Review 6.  Implications of functional proteomics in breast cancer.

Authors:  Young Kwang Chae; Ana Maria Gonzalez-Angulo
Journal:  Oncologist       Date:  2014-03-24

Review 7.  Metastasis: new perspectives on an old problem.

Authors:  Sandra Kraljevic Pavelic; Mirela Sedic; Hrvojka Bosnjak; Sime Spaventi; Kresimir Pavelic
Journal:  Mol Cancer       Date:  2011-02-22       Impact factor: 27.401

8.  From bench to clinic and back: Perspective on the 1st IQPC Translational Research conference.

Authors:  Heidi Hörig; William Pullman
Journal:  J Transl Med       Date:  2004-12-20       Impact factor: 5.531

9.  Proteomics and mass spectrometry for cancer biomarker discovery.

Authors:  Ming Lu; Kym F Faull; Julian P Whitelegge; Jianbo He; Dejun Shen; Romaine E Saxton; Helena R Chang
Journal:  Biomark Insights       Date:  2007-10-03

10.  Integrated analysis of transcriptomic and proteomic data.

Authors:  Saad Haider; Ranadip Pal
Journal:  Curr Genomics       Date:  2013-04       Impact factor: 2.236

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