BACKGROUND: The development of tissue microarray (TMA) technology has provided the opportunity to perform analyses of tissue samples on a large scale in an uniform fashion. This study was designed with the use of TMA to explore the Yes-associated protein (YAP) status in breast cancer. PATIENTS AND METHODS: YAP expression in tumor and tumor-free samples from 94 patients with primary breast cancer was analyzed by TMA. The clinicopathological data for age, estrogen receptor status, histological grading and TNM staging were also collected. RESULTS: There were 29 patients (30.8%) with 1(+) expression, in YAP, 59 patients (62.8%) with 2(+) expression and 6 (6.4%) with 3(+) expression. There was no significant relationship between YAP expression and the other clinicopathological variables. By multivariate analysis, YAP expression failed to produce any significant relationship with the overall survival rate. CONCLUSION: YAP expression is not an independent prognostic factor in patients with breast cancer.
BACKGROUND: The development of tissue microarray (TMA) technology has provided the opportunity to perform analyses of tissue samples on a large scale in an uniform fashion. This study was designed with the use of TMA to explore the Yes-associated protein (YAP) status in breast cancer. PATIENTS AND METHODS: YAP expression in tumor and tumor-free samples from 94 patients with primary breast cancer was analyzed by TMA. The clinicopathological data for age, estrogen receptor status, histological grading and TNM staging were also collected. RESULTS: There were 29 patients (30.8%) with 1(+) expression, in YAP, 59 patients (62.8%) with 2(+) expression and 6 (6.4%) with 3(+) expression. There was no significant relationship between YAP expression and the other clinicopathological variables. By multivariate analysis, YAP expression failed to produce any significant relationship with the overall survival rate. CONCLUSION:YAP expression is not an independent prognostic factor in patients with breast cancer.
Authors: E Ciamporcero; H Shen; S Ramakrishnan; S Yu Ku; S Chintala; L Shen; R Adelaiye; K M Miles; C Ullio; S Pizzimenti; M Daga; G Azabdaftari; K Attwood; C Johnson; J Zhang; G Barrera; R Pili Journal: Oncogene Date: 2015-06-29 Impact factor: 9.867