Literature DB >> 16491606

Procedures for the quantitative protein determination of urokinase and its inhibitor, PAI-1, in human breast cancer tissue extracts by ELISA.

Manfred Schmitt1, Alexandra S Sturmheit, Anita Welk, Christel Schnelldorfer, Nadia Harbeck.   

Abstract

The determination of the protein content of urokinase-type plasminogen activator (uPA) and its inhibitor, PAI-1, in breast cancer tissue extracts is used clinically to identify patients at risk to experience disease recurrence (metastasis) or early death. The serine protease uPA, in concert with its inhibitor PAI-1, promotes tumor cell adhesion, migration, and proliferation, as well as extracellular matrix degradation and, thus, facilitates tumor cell invasion and metastasis. The various technical steps to recover uPA and PAI-1 protein from archived breast cancer tissues and to quantitatively determine uPA and PAI-1 protein content in tumor tissue extracts by enzyme-linked immunosorbent assay (ELISA) are described in detail. The technical steps involved require fresh-frozen breast cancer tissue, a dismembrator machine (ball mill) to pulverize the tissue in the frozen state, detergent (Triton X-100) containing Tris-buffered saline to extract uPA and PAI-1 from the pulverized breast cancer tissue, an ultracentrifuge to separate the detergent fraction from cellular debris, uPA and PAI-1 ELISA kits, protein determination reagents, and a 96-well spectrophotometer (ELISA reader) to assess uPA, PAI-1, and total protein in the detergent extract. The uPA/PAI-1 ELISAs and the protein determination format described are robust and highly sensitive. In addition to the macromethod of tissue disintegration, we present a simple but sensitive micro-extraction procedure using cryostat sections or core biopsies as the source of breast cancer tissue. Such a technique allows rapid and quantitative determination of uPA and PAI-1, even in small breast cancer specimens.

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Year:  2006        PMID: 16491606     DOI: 10.1385/1-59259-969-9:245

Source DB:  PubMed          Journal:  Methods Mol Med        ISSN: 1543-1894


  8 in total

1.  Assessment of Urokinase-Type Plasminogen Activator and Its Inhibitor PAI-1 in Breast Cancer Tissue: Historical Aspects and Future Prospects.

Authors:  Manfred Schmitt; Karin Mengele; Apostolos Gkazepis; Rudolf Napieralski; Viktor Magdolen; Ute Reuning; Nadia Harbeck
Journal:  Breast Care (Basel)       Date:  2008-10-15       Impact factor: 2.860

2.  Protein analytical assays for diagnosing, monitoring, and choosing treatment for cancer patients.

Authors:  Alicia D Powers; Sean P Palecek
Journal:  J Healthc Eng       Date:  2012-12       Impact factor: 2.682

3.  Identification of vitronectin as a novel serum marker for early breast cancer detection using a new proteomic approach.

Authors:  Masami Kadowaki; Takafumi Sangai; Takeshi Nagashima; Masahiro Sakakibara; Hideyuki Yoshitomi; Shigetsugu Takano; Kazuyuki Sogawa; Hiroshi Umemura; Koya Fushimi; Yukio Nakatani; Fumio Nomura; Masaru Miyazaki
Journal:  J Cancer Res Clin Oncol       Date:  2011-01-21       Impact factor: 4.553

4.  Independent validation of stromal uPA in ABCSG-08: Level 1b evidence for the prognostic value of uPA immunohistochemistry.

Authors:  C F Singer; S W Jahn; M Rudas; Z Bago-Horvath; F Fitzal; L Abete; F Moinfar; M Gnant; M Filipits
Journal:  Breast       Date:  2022-05-19       Impact factor: 4.254

5.  Novel distribution pattern of fibrinolytic components in rabbit tissues extract: a preliminary study.

Authors:  Xing-guo Lu; Xian-guo Wu; Xiao-hua Xu; Xu-bo Gong; Xuan Zhou; Gen-bo Xu; Lei Zhu; Xiao-ying Zhao
Journal:  J Zhejiang Univ Sci B       Date:  2007-08       Impact factor: 3.066

Review 6.  Molecular Imaging of Biomarkers in Breast Cancer.

Authors:  Gary A Ulaner; Chris C Riedl; Maura N Dickler; Komal Jhaveri; Neeta Pandit-Taskar; Wolfgang Weber
Journal:  J Nucl Med       Date:  2016-02       Impact factor: 10.057

7.  Characterization of spontaneous and TGF-β-induced cell motility of primary human normal and neoplastic mammary cells in vitro using novel real-time technology.

Authors:  Katharina Mandel; Daniel Seidl; Dirk Rades; Hendrik Lehnert; Frank Gieseler; Ralf Hass; Hendrik Ungefroren
Journal:  PLoS One       Date:  2013-02-14       Impact factor: 3.240

8.  An ultra-sensitive immunoassay for quantifying biomarkers in breast tumor tissue.

Authors:  Carol B Fowler; Yan-Gao Man; Jeffrey T Mason
Journal:  J Cancer       Date:  2014-01-05       Impact factor: 4.207

  8 in total

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