Literature DB >> 10754500

Comparison of the metastasis-inducing protein S100A4 (p9ka) with other prognostic markers in human breast cancer.

A M Platt-Higgins1, C A Renshaw, C R West, J H Winstanley, S De Silva Rudland, R Barraclough, P S Rudland.   

Abstract

Our aim was to compare the occurrence and prognostic significance over 14-20 years of immunocytochemically detected S100A4 and other tumour variables in primary tumours from 349 patients with operable breast cancer. For a cut-off of 1% staining of the malignant cells, the antibody to S100A4 stains positively 56% of the carcinomas. There was a significant association of staining for S100A4 with tumours fixed to the chest wall, staining for c-erbB-2, c-erbB-3, pS2, cathepsin D and, inversely, at borderline levels with staining for estrogen receptor. Using Wilcoxon statistics in univariate analyses, staining for S100A4, nodal status, tumour class, histological grade and staining for c-erbB-2, p53 were associated negatively and staining for estrogen receptor, progesterone receptor were associated positively with patient survival times. The survival times of patients with S100A4-negative carcinomas with or without one of the other tumour variables showed no significant differences, whilst those of patients with S100A4-positive carcinomas showed significant differences in a negative or a positive way. Multivariate regression analysis for 137 patients showed that staining for S100A4 is most highly correlated with patient deaths, but involved lymph nodes, fixed tumours, high histological grade and staining for progesterone receptor were also significant independent prognostic variables. Our results suggest that in this set of patients, the tumour variable most tightly correlated with patient death is S100A4. Copyright 2000 Wiley-Liss, Inc.

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Year:  2000        PMID: 10754500

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


  24 in total

1.  Protein S100A4: too long overlooked by pathologists?

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Journal:  Am J Pathol       Date:  2002-01       Impact factor: 4.307

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Journal:  Pathol Oncol Res       Date:  2014-07-02       Impact factor: 3.201

5.  Significance of the Fanconi anemia FANCD2 protein in sporadic and metastatic human breast cancer.

Authors:  Philip S Rudland; Angela M Platt-Higgins; Lowri M Davies; Suzete de Silva Rudland; James B Wilson; Abdulaziz Aladwani; John H R Winstanley; Dong L Barraclough; Roger Barraclough; Christopher R West; Nigel J Jones
Journal:  Am J Pathol       Date:  2010-04-02       Impact factor: 4.307

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Authors:  Gumeng Cheng; Kailin Tian; Lu Zhang; Ning Yang; Yiqiao Xing; Tao He
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2015-09-11       Impact factor: 3.117

7.  Prediction of nodal spread of breast cancer by using artificial neural network-based analyses of S100A4, nm23 and steroid receptor expression.

Authors:  S R Grey; S S Dlay; B E Leone; F Cajone; G V Sherbet
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8.  The metastasis-associated anterior gradient 2 protein is correlated with poor survival of breast cancer patients.

Authors:  Dong L Barraclough; Angela Platt-Higgins; Suzete de Silva Rudland; Roger Barraclough; John Winstanley; Christopher R West; Philip S Rudland
Journal:  Am J Pathol       Date:  2009-10-15       Impact factor: 4.307

9.  A biosensor of S100A4 metastasis factor activation: inhibitor screening and cellular activation dynamics.

Authors:  Sarah C Garrett; Louis Hodgson; Andrew Rybin; Alexei Toutchkine; Klaus M Hahn; David S Lawrence; Anne R Bresnick
Journal:  Biochemistry       Date:  2007-12-23       Impact factor: 3.162

10.  Examination of tumour histopathology and gene expression in a neu/S100A4 transgenic model of metastatic breast cancer.

Authors:  Peter T Simpson; Balvinder S Shoker; Roger Barraclough; Nigel Halliwell; Philip S Rudland; D Ross Sibson; Michael P A Davies
Journal:  Int J Exp Pathol       Date:  2003-08       Impact factor: 1.925

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