Literature DB >> 10667580

Separating favorable from unfavorable prognostic markers in breast cancer: the role of E-cadherin.

R Heimann1, F Lan, R McBride, S Hellman.   

Abstract

Distant metastases are the major cause of morbidity and mortality in women with breast cancer. The ability to predict the metastatic proclivity is essential in choosing the optimal treatment. Tumor size and grade, which are frequently used markers in node-negative breast cancer patients, are inadequate markers for prognosis and individualized treatment design. The steps in metastatic progression include angiogenesis, invasion, and changes in adhesion characteristics. We developed a strategy for choosing biomarkers representing these steps in malignant progression to identify patients with occult metastases who will need chemotherapy and spare those women whose tumors have not developed the capacity to spread. To evaluate the added significance of E-cadherin to that of nm23-H1 and angiogenesis in determining metastatic proclivity, we used archival material from 168 node-negative breast cancer patients who were treated with mastectomy without any adjuvant chemotherapy or hormone therapy. Immunohistochemistry was used to detect E-cadherin and nm23-H1 expression, whereas angiogenesis was determined by microvessel count (MVC) after immunohistochemical staining. The median follow-up is 14 years. We found that E-cadherin is better in identifying the poor prognosis patients. The 14-year disease-free survival (DFS) is 84%, 80%, and 56% in patients with high, intermediate, and low E-cadherin. The worst prognosis group using nm23-H1 and MVC as biomarkers has a 14-year DFS of 62%. In this group, if E-cadherin is low, the 14-year DFS is further decreased to 44%. Nm23-H1 and MVC are better in identifying the good prognosis patients. The long-term DFS is >90% if MVC is low or if nm23-H1 is high. Multivariate analysis shows that E-cadherin, nm23-H1, and MVC are more significant prognostic biomarkers than tumor size or grade. Loss of E-cadherin appears to be a latter step in the metastatic progression compared to angiogenesis and the loss of nm23-H1 expression.

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Year:  2000        PMID: 10667580

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  52 in total

Review 1.  Cadherin junctions in mammary tumors.

Authors:  M J Wheelock; A P Soler; K A Knudsen
Journal:  J Mammary Gland Biol Neoplasia       Date:  2001-07       Impact factor: 2.673

Review 2.  Prognostic factors in breast cancer: current and new predictors of metastasis.

Authors:  D F Hayes; C Isaacs; V Stearns
Journal:  J Mammary Gland Biol Neoplasia       Date:  2001-10       Impact factor: 2.673

3.  Disruption of 3D tissue integrity facilitates adenovirus infection by deregulating the coxsackievirus and adenovirus receptor.

Authors:  M Anders; R Hansen; R-X Ding; K A Rauen; M J Bissell; W Michael Korn
Journal:  Proc Natl Acad Sci U S A       Date:  2003-02-07       Impact factor: 11.205

4.  Sipa1 is a candidate for underlying the metastasis efficiency modifier locus Mtes1.

Authors:  Yeong-Gwan Park; Xiaohong Zhao; Fabienne Lesueur; Douglas R Lowy; Mindy Lancaster; Paul Pharoah; Xiaolan Qian; Kent W Hunter
Journal:  Nat Genet       Date:  2005-09-04       Impact factor: 38.330

5.  Krüppel-like factor 4 inhibits tumorigenic progression and metastasis in a mouse model of breast cancer.

Authors:  Jennifer L Yori; Darcie D Seachrist; Emhonta Johnson; Kristen L Lozada; Fadi W Abdul-Karim; Lewis A Chodosh; William P Schiemann; Ruth A Keri
Journal:  Neoplasia       Date:  2011-07       Impact factor: 5.715

6.  High frequency of concomitant nm23-H1 and E-cadherin transcriptional inactivation in primary non-inheriting colorectal carcinomas.

Authors:  George A Garinis; Evangelos N Manolis; Nick E Spanakis; George P Patrinos; George Peros; Panayiotis G Menounos
Journal:  J Mol Med (Berl)       Date:  2003-04-02       Impact factor: 4.599

7.  No evidence of familial correlation in breast cancer metastasis.

Authors:  Alice S Whittemore; Beth Stearman; Vickie Venne; Jerry Halpern; Anna Felberg; Valerie McGuire; Mary Daly; Saundra S Buys
Journal:  Breast Cancer Res Treat       Date:  2009-03-19       Impact factor: 4.872

8.  Prognostic value of Twist and E-cadherin in patients with osteosarcoma.

Authors:  Ke Yin; Qiande Liao; Hongbo He; Da Zhong
Journal:  Med Oncol       Date:  2012-07-31       Impact factor: 3.064

9.  Changes in CpG islands promoter methylation patterns during ductal breast carcinoma progression.

Authors:  Mohammad Obaidul Hoque; Maria Prencipe; Maria Luana Poeta; Raffaela Barbano; Vanna Maria Valori; Massimiliano Copetti; Antonietta Pia Gallo; Mariana Brait; Evaristo Maiello; Adolfo Apicella; Raffaele Rossiello; Francesco Zito; Tommasi Stefania; Angelo Paradiso; Massimo Carella; Bruno Dallapiccola; Roberto Murgo; Illuminato Carosi; Michele Bisceglia; Vito Michele Fazio; David Sidransky; Paola Parrella
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-09-29       Impact factor: 4.254

Review 10.  Mechanisms of metastasis.

Authors:  Kent W Hunter; Nigel P S Crawford; Jude Alsarraj
Journal:  Breast Cancer Res       Date:  2008       Impact factor: 6.466

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