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Stat1 and CD74 overexpression is co-dependent and linked to increased invasion and lymph node metastasis in triple-negative breast cancer

Greenwood, C and Metodieva, G and Al-Janabi, K and Lausen, B and Alldridge, L and Leng, L and Bucala, R and Fernandez, N and Metodiev, MV (2012) 'Stat1 and CD74 overexpression is co-dependent and linked to increased invasion and lymph node metastasis in triple-negative breast cancer.' Journal of Proteomics, 75 (10). 3031 - 3040. ISSN 1874-3919

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Abstract

Triple-negative breast cancer is difficult to treat because of the lack of rationale-based therapies. There are no established markers and targets that can be used for stratification of patients and targeted therapy. Here we report the identification of novel molecular features, which appear to augment metastasis of triple negative brea st tumors. We found that triple-negative breast tumors can be segregated into 2 phenotypes based on their genome-wide protein abundance profiles. The first is characterized by high expression of Stat1, Mx1, and CD74. Seven out of 9 tumors from this group had invaded at least 2 lymph nodes while only 1 out of 10 tumors in group 2 was lymph node positive. In vitro experiments showed that the interferon-induced increase in Stat1 abundance correlates with increased migration and invasion in cultured cells. When CD74 was overexpressed, it increased cell adhesion on matrigel. This effect was accompanied with a marked increase in the membrane expression of beta-catenin, MUC18, plexins, integrins, and other proteins involved in cell adhesion and cancer metastasis. Taken together, our results show that Stat1/CD74 positive triple-negative tumors are more aggressive and suggest an approach for development of better diagnostics and more targeted therapies for triple negative breast cancer. This article is part of a Special Issue entitled: Proteomics: The clinical link. © 2011 Elsevier B.V..

Item Type: Article
Subjects: R Medicine > R Medicine (General)
R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer)
Divisions: Faculty of Science and Health > Biological Sciences, School of
Faculty of Science and Health > Mathematical Sciences, Department of
Depositing User: Berthold Lausen
Date Deposited: 29 May 2012 09:57
Last Modified: 17 Aug 2017 18:12
URI: http://repository.essex.ac.uk/id/eprint/2469

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