Literature DB >> 15543615

Real-time quantitative PCR determination of urokinase-type plasminogen activator receptor (uPAR) expression of isolated micrometastatic cells from bone marrow of breast cancer patients.

Jean-Yves Pierga1, Charlyne Bonneton, Henri Magdelénat, Anne Vincent-Salomon, Claude Nos, Evelyne Boudou, Pierre Pouillart, Jean-Paul Thiery, Patricia de Cremoux.   

Abstract

Disseminated tumor cells (DTC) in bone marrow are independently related to poor outcome in patients with breast cancer. Phenotypic characterization of DTC may be useful to improve evaluation of the metastasizing potential of DTC and also to more accurately target aggressive tumor cells. DTC were screened in bone marrow aspirates from breast cancer patients by immunocytochemistry with an anticytokeratin (anti-CK) antibody (A45B/B3). Because the cell permeabilization and fixation required for intracellular CK staining is deleterious for mRNA, we used microaspiration to isolate single tumor cells stained with a monoclonal antibody directed against a membrane epitope, epithelial cell adhesion molecule (EpCAM), in CK-positive cases. Urokinase-type plasminogen activator receptor (uPAR) was quantified by real-time quantitative RT-PCR. The SKBR3 human breast cancer cell line was used to calibrate RT-PCR. A linear relationship was observed between the cycle threshold (Ct) of uPAR and 18S gene expression and SKBR3 cells spiked (1, 3, 7, 10 and 20) in control patient bone marrow. EpCAM-positive cells were aspirated in 21 out of 25 bone marrow specimens from breast cancer patients with CK-positive cells and uPAR mRNA expression was determined in 16 cases. A high level of uPAR mRNA in DTC was detected in 8 out of 16 patients (50%) and was associated with a more aggressive primary tumor phenotype (estrogen receptor [ER]-negative, progesterone receptor [PR]-negative or HER2-positive) (p = 0.01). We demonstrated that real-time quantitative RT-PCR was reliably adapted to phenotype analysis of isolated micrometastatic cells. A larger study would be useful to confirm the importance of uPAR to define higher risk subgroups of breast cancer patients with micrometastatic disease. (c) 2004 Wiley-Liss, Inc.

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Year:  2005        PMID: 15543615     DOI: 10.1002/ijc.20698

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  16 in total

1.  uPAR antibody (huATN-658) and Zometa reduce breast cancer growth and skeletal lesions.

Authors:  Niaz Mahmood; Ani Arakelian; Haseeb Ahmed Khan; Imrana Tanvir; Andrew P Mazar; Shafaat A Rabbani
Journal:  Bone Res       Date:  2020-04-17       Impact factor: 13.567

2.  Detection of disseminated tumor cells in the bone marrow of breast cancer patients using multiplex gene expression measurements identifies new therapeutic targets in patients at high risk for the development of metastatic disease.

Authors:  Chidananda M Siddappa; Mark A Watson; Sreeraj G Pillai; Kathryn Trinkaus; Timothy Fleming; Rebecca Aft
Journal:  Breast Cancer Res Treat       Date:  2012-11-06       Impact factor: 4.872

3.  TFRC and ACTB as the best reference genes to quantify Urokinase Plasminogen Activator in breast cancer.

Authors:  Keivan Majidzadeh-A; Rezvan Esmaeili; Nasrin Abdoli
Journal:  BMC Res Notes       Date:  2011-06-25

Review 4.  HER2 and uPAR cooperativity contribute to metastatic phenotype of HER2-positive breast cancer.

Authors:  Vineesh Indira Chandran; Serenella Eppenberger-Castori; Thejaswini Venkatesh; Kara Lea Vine; Marie Ranson
Journal:  Oncoscience       Date:  2015-03-23

5.  Clinical relevance and current challenges of research on disseminating tumor cells in cancer patients.

Authors:  Sabine Riethdorf; Klaus Pantel
Journal:  Breast Cancer Res       Date:  2009-12-18       Impact factor: 6.466

6.  Semiautomated isolation and molecular characterisation of single or highly purified tumour cells from CellSearch enriched blood samples using dielectrophoretic cell sorting.

Authors:  D J E Peeters; B De Laere; G G Van den Eynden; S J Van Laere; F Rothé; M Ignatiadis; A M Sieuwerts; D Lambrechts; A Rutten; P A van Dam; P Pauwels; M Peeters; P B Vermeulen; L Y Dirix
Journal:  Br J Cancer       Date:  2013-03-07       Impact factor: 7.640

Review 7.  Bone marrow micrometastasis in breast cancer: review of detection methods, prognostic impact and biological issues.

Authors:  A Vincent-Salomon; F C Bidard; J Y Pierga
Journal:  J Clin Pathol       Date:  2007-11-23       Impact factor: 3.411

8.  Computer aided identification of small molecules disrupting uPAR/alpha5beta1--integrin interaction: a new paradigm for metastasis prevention.

Authors:  Pratima Chaurasia; Mihaly Mezei; Ming-Ming Zhou; Liliana Ossowski
Journal:  PLoS One       Date:  2009-02-26       Impact factor: 3.240

Review 9.  Micrometastatic spread in breast cancer: detection, molecular characterization and clinical relevance.

Authors:  Tanja Fehm; Volkmar Müller; Catherine Alix-Panabières; Klaus Pantel
Journal:  Breast Cancer Res       Date:  2008-04-09       Impact factor: 6.466

10.  Detection of mammaglobin mRNA in peripheral blood is associated with high grade breast cancer: interim results of a prospective cohort study.

Authors:  Kaidi Mikhitarian; Renee Hebert Martin; Megan Baker Ruppel; William E Gillanders; Rana Hoda; Del H Schutte; Kathi Callahan; Michael Mitas; David J Cole
Journal:  BMC Cancer       Date:  2008-02-20       Impact factor: 4.430

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