OBJECTIVE: The aim of this present study was to assess the impact of COX-2 over-expression on breast cancer survival. MATERIAL AND METHODS: Non-metastatic invasive breast cancer patients who received adequate loco-regional and systemic treatments were evaluated. Patients' demographic, clinical, pathologic, and treatment-related and survival data were retrieved from their hospital files. COX-2, estrogen/progesterone receptor (ER/PR), HER-2/neu expression and Ki67 index of the tumors were determined immunohistochemically. As the primary objective, COX-2 positive and negative patients were compared in terms of overall (OS), disease-free (DFS) and breast cancer-specific survival (BCSS). Secondary objectives were to assess the independent prognostic factors for survival. In addition, the correlation of COX-2 expression with conventional prognostic and predictive factors of breast cancer was assessed. RESULTS: Two hundred and seventeen patients who underwent adequate breast cancer treatment between November 2004 and December 2013 were included in the study. The median follow-up was 37 months (range: 5-107). Eighty-one (37%) patients were COX-2 positive. OS, DFS, and BCSS were similar in COX-2 positive and negative patients. Ki67 index and age were significantly correlated with COX-2 expression (r=-0.116; p=0.02; r=0.159; p=0.02). PR expression was found to be the only independent factor for predicting OS, tumor size and molecular subtype classification were found to be the only independent factors for predicting DFS, and PR expression was found to be the only independent factor for predicting BCSS. CONCLUSION: Among the independent predictive and prognostic factors of breast cancer, COX-2 over-expression was only correlated with Ki67 index and age.
OBJECTIVE: The aim of this present study was to assess the impact of COX-2 over-expression on breast cancer survival. MATERIAL AND METHODS: Non-metastatic invasive breast cancerpatients who received adequate loco-regional and systemic treatments were evaluated. Patients' demographic, clinical, pathologic, and treatment-related and survival data were retrieved from their hospital files. COX-2, estrogen/progesterone receptor (ER/PR), HER-2/neu expression and Ki67 index of the tumors were determined immunohistochemically. As the primary objective, COX-2 positive and negative patients were compared in terms of overall (OS), disease-free (DFS) and breast cancer-specific survival (BCSS). Secondary objectives were to assess the independent prognostic factors for survival. In addition, the correlation of COX-2 expression with conventional prognostic and predictive factors of breast cancer was assessed. RESULTS: Two hundred and seventeen patients who underwent adequate breast cancer treatment between November 2004 and December 2013 were included in the study. The median follow-up was 37 months (range: 5-107). Eighty-one (37%) patients were COX-2 positive. OS, DFS, and BCSS were similar in COX-2 positive and negative patients. Ki67 index and age were significantly correlated with COX-2 expression (r=-0.116; p=0.02; r=0.159; p=0.02). PR expression was found to be the only independent factor for predicting OS, tumor size and molecular subtype classification were found to be the only independent factors for predicting DFS, and PR expression was found to be the only independent factor for predicting BCSS. CONCLUSION: Among the independent predictive and prognostic factors of breast cancer, COX-2 over-expression was only correlated with Ki67 index and age.
Entities:
Keywords:
Breast cancer; cyclooxygenase-2 enzyme; predictive factors; prognostic factors; survival
Authors: Elizabeth Half; Xi Ming Tang; Karin Gwyn; Aysegul Sahin; Kyle Wathen; Frank A Sinicrope Journal: Cancer Res Date: 2002-03-15 Impact factor: 12.701
Authors: Karla Kerlikowske; Annette M Molinaro; Mona L Gauthier; Hal K Berman; Fred Waldman; James Bennington; Henry Sanchez; Cynthia Jimenez; Kim Stewart; Karen Chew; Britt-Marie Ljung; Thea D Tlsty Journal: J Natl Cancer Inst Date: 2010-04-28 Impact factor: 13.506
Authors: Kotha Subbaramaiah; Louise R Howe; Elisa R Port; Edi Brogi; Jack Fishman; Catherine H Liu; Timothy Hla; Clifford Hudis; Andrew J Dannenberg Journal: Cancer Res Date: 2006-05-15 Impact factor: 12.701
Authors: Abdulkader M Albasri; Mohammed A Elkablawy; Akbar S Hussainy; Hala M Yousif; Ahmed S Alhujaily Journal: Saudi Med J Date: 2018-08 Impact factor: 1.484