Prognostic Significance of Focal Adhesion Kinase in Node-Negative Breast Cancer

被引:11
|
作者
Almstedt, Katrin [1 ]
Sicking, Isabel [1 ]
Battista, Marco J. [1 ]
Huangfu, Shangou [1 ]
Heimes, Anne-Sophie [1 ]
Weyer-Elberich, Veronika [2 ]
Hasenburg, Annette [1 ]
Schmidt, Marcus [1 ]
机构
[1] Univ Hosp, Dept Obstet & Gynecol, Mainz, Germany
[2] Johannes Gutenberg Univ Mainz, Inst Med Biostat Epidemiol & Informat, Mainz, Germany
关键词
Focal adhesion kinase; Breast cancer; Node-negative; Prognosis; Protein; EXPRESSION; CARCINOMA; OVEREXPRESSION; TUMORIGENESIS; PHENOTYPE; ABLATION; TUMORS; CELLS; TRIAL; GENE;
D O I
10.1159/000477895
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Focal adhesion kinase (FAK) is a cytoplasmic tyrosine kinase that plays an important role as a mediator of cell migration, invasion, proliferation and survival. Conflicting results for the prognostic role of FAK in breast cancer (BC) prompted us to determine its impact. Methods: Patients with node-negative BC entered this retrospective study. FAK expression was determined by immunohistochemistry (n = 335). The prognostic impact of FAK was examined with Cox regression analyses and Kaplan-Meier estimation in the whole cohort as well as in different molecular subtypes. Results: 151 (45.1%) had a FAK-positive BC. In univariate analyses, FAK expression showed a significant impact for shorter disease-free survival (DFS) (hazard ratio (HR) 1.54, 95% confidence interval (CI) 1.04-2.28, p = 0.030) but not for metastasis-free survival and overall survival. Significant prognostic relevance for DFS (HR 1.76, 95% CI 1.05-2.97, p = 0.033) was observed in particular in estrogen receptor-positive HER2-negative BC patients, most notably in luminal B-like tumors (HR 2.32, CI 1.20-4.48, p = 0.012). However, FAK lost its prognostic impact in multivariate Cox regression analysis. Conclusion: FAK was associated with impaired DFS in univariate analysis. Prognostic relevance for DFS was most pronounced in luminal B-like BC. However, FAK expression was not associated with an independent impact on survival for BC in multivariate analysis. (C) 2017 The Author(s). Published by S. Karger GmbH, Freiburg
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收藏
页码:329 / 333
页数:5
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