Literature DB >> 23175431

Expression of cell adhesion molecules and prognosis in breast cancer.

S Saadatmand1, E M de Kruijf, A Sajet, N G Dekker-Ensink, J G H van Nes, H Putter, V T H B M Smit, C J H van de Velde, G J Liefers, P J K Kuppen.   

Abstract

BACKGROUND: Cell adhesion molecules (CAMs) play an important role in the process of metastasis. The prognostic value of tumour expression of N-cadherin, E-cadherin, carcinoembryonic antigen (CEA) and epithelial CAM (Ep-CAM) was evaluated in patients with breast cancer.
METHODS: A tissue microarray of the patient cohort was stained immunohistochemically for all markers and analysed by microscopy. Expression was classified into two categories, with the median score as cut-off level. For CEA, the above-median category was further subdivided in two subgroups based on staining intensity (low or high intensity).
RESULTS: The cohort consisted of 574 patients with breast cancer with a median follow-up of 19 years. Below-median expression of E-cadherin (P = 0·015), and above-median expression of N-cadherin (P = 0·004), Ep-CAM (P = 0·046) and CEA (P = 0·001) all resulted in a shorter relapse-free period. Multivariable analysis revealed E-cadherin and CEA to be independent prognostic variables. Combined analysis of CEA and E-cadherin expression showed a 3·6 times higher risk of relapse for patients with high-intensity expression of CEA, regardless of E-cadherin expression, compared with patients with below-median CEA and above-median E-cadherin tumour expression (hazard ratio 3·60, 95 per cent confidence interval 2·12 to 6·11; P < 0·001). An interaction was found between expression of these two CAMs (P < 0·001), suggesting a biological association.
CONCLUSION: Combining E-cadherin and CEA tumour expression provides a prognostic parameter with high discriminative power that is a candidate tool for prediction of prognosis in breast cancer.
Copyright © 2012 British Journal of Surgery Society Ltd. Published by John Wiley & Sons, Ltd.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23175431     DOI: 10.1002/bjs.8980

Source DB:  PubMed          Journal:  Br J Surg        ISSN: 0007-1323            Impact factor:   6.939


  32 in total

Review 1.  Novel cancer antigens for personalized immunotherapies: latest evidence and clinical potential.

Authors:  Gregory T Wurz; Chiao-Jung Kao; Michael W DeGregorio
Journal:  Ther Adv Med Oncol       Date:  2016-01       Impact factor: 8.168

2.  High expression of CEACAM19, a new member of carcinoembryonic antigen gene family, in patients with breast cancer.

Authors:  Mehrdad Asghari Estiar; Rezvan Esmaeili; Ali-Akbar Zare; Leila Farahmand; Hassan Fazilaty; Ali Zekri; Narges Jafarbeik-Iravani; Keivan Majidzadeh-A
Journal:  Clin Exp Med       Date:  2016-12-01       Impact factor: 3.984

3.  B7 homolog 3 induces lung metastasis of breast cancer through Raf/MEK/ERK axis.

Authors:  Shuai Wang; Xinyan Zhang; Houfa Ning; Senyi Dong; Guangzhi Wang; Ruimei Sun
Journal:  Breast Cancer Res Treat       Date:  2022-03-21       Impact factor: 4.872

4.  The diagnostic, predictive, and prognostic role of serum epithelial cell adhesion molecule (EpCAM) and vascular cell adhesion molecule-1 (VCAM-1) levels in breast cancer.

Authors:  S Karabulut; F Tas; D Tastekin; M Karabulut; C T Yasasever; R Ciftci; M Güveli; M Fayda; S Vatansever; M Serilmez; R Disci; A Aydıner
Journal:  Tumour Biol       Date:  2014-06-03

Review 5.  Prognostic Significance of VEGF-C Expression in Patients with Breast Cancer: A Meta-Analysis.

Authors:  Bin Liang; Yunhui Li
Journal:  Iran J Public Health       Date:  2014-02       Impact factor: 1.429

6.  Identification of therapeutic targets for breast cancer using biological informatics methods.

Authors:  Xuejian Liu; Yongzhen Ma; Wenchuan Yang; Xia Wu; Lihua Jiang; Xiangli Chen
Journal:  Mol Med Rep       Date:  2015-03-27       Impact factor: 2.952

7.  Nuclear Ep-ICD accumulation predicts aggressive clinical course in early stage breast cancer patients.

Authors:  Gunjan Srivastava; Jasmeet Assi; Lawrence Kashat; Ajay Matta; Martin Chang; Paul G Walfish; Ranju Ralhan
Journal:  BMC Cancer       Date:  2014-09-29       Impact factor: 4.430

8.  The prognostic significance of CD44V6, CDH11, and β-catenin expression in patients with osteosarcoma.

Authors:  Zhouming Deng; Guangfeng Niu; Lin Cai; Renxiong Wei; Xiaolei Zhao
Journal:  Biomed Res Int       Date:  2013-07-18       Impact factor: 3.411

Review 9.  Ductal barriers in mammary epithelium.

Authors:  Mark B Owens; Arnold Dk Hill; Ann M Hopkins
Journal:  Tissue Barriers       Date:  2013-08-09

10.  Invasive lobular breast cancer: the prognostic impact of histopathological grade, E-cadherin and molecular subtypes.

Authors:  Monica J Engstrøm; Signe Opdahl; Lars J Vatten; Olav A Haugen; Anna M Bofin
Journal:  Histopathology       Date:  2014-12-22       Impact factor: 5.087

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.