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
引用
收藏
页码:329 / 333
页数:5
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