Literature DB >> 18532913

Breast tumor metastasis: analysis via proteomic profiling.

Steve Goodison1, Virginia Urquidi.   

Abstract

The ability to predict the metastatic behavior of a patient's cancer, as well as to detect and eradicate such recurrences, remain major clinical challenges in oncology. While many potential molecular biomarkers have been identified and tested previously, none have greatly improved the accuracy of specimen evaluation over routine histopathological criteria and, to date, they predict individual outcomes poorly. The ongoing development of high-throughput proteomic profiling technologies is opening new avenues for the investigation of cancer and, through application in tissue-based studies and animal models, will facilitate the identification of molecular signatures that are associated with breast tumor cell phenotype. The appropriate use of these approaches has the potential to provide efficient biomarkers, and to improve our knowledge of tumor biology. This, in turn, will enable the development of targeted therapeutics aimed at ameliorating the lethal dissemination of breast cancer. In this review, we focus on the accumulating proteomic signatures of breast tumor progression, particularly those that correlate with the occurrence of distant metastases, and discuss some of the expected future developments in the field.

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Mesh:

Year:  2008        PMID: 18532913      PMCID: PMC3413481          DOI: 10.1586/14789450.5.3.457

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  76 in total

1.  A nondestructive molecule extraction method allowing morphological and molecular analyses using a single tissue section.

Authors:  Wei-Sing Chu; Qi Liang; Jilan Liu; Min Qi Wei; Mary Winters; Lance Liotta; Glenn Sandberg; Maokai Gong
Journal:  Lab Invest       Date:  2005-11       Impact factor: 5.662

2.  SELDI-TOF-MS: the proteomics and bioinformatics approaches in the diagnosis of breast cancer.

Authors:  Yue Hu; Suzhan Zhang; Jiekai Yu; Jian Liu; Shu Zheng
Journal:  Breast       Date:  2005-08       Impact factor: 4.380

Review 3.  Proteomics of breast carcinoma.

Authors:  Richard I Somiari; Stella Somiari; Stephen Russell; Craig D Shriver
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2005-02-05       Impact factor: 3.205

4.  Proteomic-based prognosis of brain tumor patients using direct-tissue matrix-assisted laser desorption ionization mass spectrometry.

Authors:  Sarah A Schwartz; Robert J Weil; Reid C Thompson; Yu Shyr; Jason H Moore; Steven A Toms; Mahlon D Johnson; Richard M Caprioli
Journal:  Cancer Res       Date:  2005-09-01       Impact factor: 12.701

5.  Identification of serum proteins related to adverse effects induced by docetaxel infusion from protein expression profiles of serum using SELDI ProteinChip system.

Authors:  Yuji Heike; Mami Hosokawa; Shozo Osumi; Daisuke Fujii; Kenjiro Aogi; Nagio Takigawa; Mikiko Ida; Hisao Tajiri; Kenji Eguchi; Mieko Shiwa; Rumi Wakatabe; Hisashi Arikuni; Yoichi Takaue; Shigemitsu Takashima
Journal:  Anticancer Res       Date:  2005 Mar-Apr       Impact factor: 2.480

6.  Cytologic findings and protein expression profiles associated with ductal carcinoma of the breast in ductal lavage specimens using surface-enhanced laser desorption and ionization-time of flight mass spectrometry.

Authors:  Savvas Mendrinos; John David L Nolen; Toncred Styblo; Grant Carlson; Jan Pohl; Melinda Lewis; James Ritchie
Journal:  Cancer       Date:  2005-06-25       Impact factor: 6.860

7.  Method optimisation for peptide profiling of microdissected breast carcinoma tissue by matrix-assisted laser desorption/ionisation-time of flight and matrix-assisted laser desorption/ionisation-time of flight/time of flight-mass spectrometry.

Authors:  Arzu Umar; Johannes C H Dalebout; A Mieke Timmermans; John A Foekens; Theo M Luider
Journal:  Proteomics       Date:  2005-07       Impact factor: 3.984

8.  The RhoGAP protein DLC-1 functions as a metastasis suppressor in breast cancer cells.

Authors:  Steve Goodison; Jing Yuan; Derek Sloan; Ryung Kim; Cheng Li; Nicholas C Popescu; Virginia Urquidi
Journal:  Cancer Res       Date:  2005-07-15       Impact factor: 12.701

9.  Protein expression profiling identifies subclasses of breast cancer and predicts prognosis.

Authors:  Jocelyne Jacquemier; Christophe Ginestier; Jacques Rougemont; Valérie-Jeanne Bardou; Emmanuelle Charafe-Jauffret; Jeannine Geneix; José Adélaïde; Alane Koki; Gilles Houvenaeghel; Jacques Hassoun; Dominique Maraninchi; Patrice Viens; Daniel Birnbaum; François Bertucci
Journal:  Cancer Res       Date:  2005-02-01       Impact factor: 12.701

10.  Molecular portraits and 70-gene prognosis signature are preserved throughout the metastatic process of breast cancer.

Authors:  Britta Weigelt; Zhiyuan Hu; Xiaping He; Chad Livasy; Lisa A Carey; Matthew G Ewend; Annuska M Glas; Charles M Perou; Laura J Van't Veer
Journal:  Cancer Res       Date:  2005-10-15       Impact factor: 12.701

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  2 in total

1.  Metastasis-related plasma membrane proteins of human breast cancer cells identified by comparative quantitative mass spectrometry.

Authors:  Rikke Leth-Larsen; Rikke Lund; Helle V Hansen; Anne-Vibeke Laenkholm; David Tarin; Ole N Jensen; Henrik J Ditzel
Journal:  Mol Cell Proteomics       Date:  2009-03-24       Impact factor: 5.911

Review 2.  Signaling pathways in breast cancer metastasis - novel insights from functional genomics.

Authors:  Mario Andres Blanco; Yibin Kang
Journal:  Breast Cancer Res       Date:  2011-03-14       Impact factor: 6.466

  2 in total

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