BACKGROUND AND PURPOSE: Magee Equations have been developed as accurate tools for predicting response and clinical outcomes in breast cancer patients treated with adjuvant systemic therapy using basic clinicopathological parameters. This study aims to evaluate the alternative application of Magee Equation 2 score in predicting pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) in hormone receptor (HR)-positive, HER2-negative breast cancer. PATIENTS AND METHODS: Patients with HR-positive, HER2-negative breast cancer who received NAC from January 2010 to May 2018 at Siriraj Hospital, Mahidol University, Thailand, were recruited. Pre-treatment status of HR and HER2 was used to calculate the Magee Equation 2 scores. The pCR rates among different clinicopathological parameters were analyzed. Survival analysis was performed by Log-rank test. Kaplan-Meier survival curves were analyzed. RESULTS: A total of 215 patients were eligible. The pCR rates for low, intermediate, and high scores were 4.8%, 3.6%, and 23.8%, respectively. Patients with high scores had significantly higher size reduction and pCR rates compared to those with intermediate or low scores (p<0.001). Those with high scores had higher rates of locoregional recurrence and death. The patients with high score had significantly lower overall survival (p=0.034). CONCLUSION: Among patients with HR-positive and HER2-negative breast cancer treated with NAC, Magee Equation 2 might be used as a tool for predicting the pCR and clinical outcome.
BACKGROUND AND PURPOSE: Magee Equations have been developed as accurate tools for predicting response and clinical outcomes in breast cancer patients treated with adjuvant systemic therapy using basic clinicopathological parameters. This study aims to evaluate the alternative application of Magee Equation 2 score in predicting pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) in hormone receptor (HR)-positive, HER2-negative breast cancer. PATIENTS AND METHODS: Patients with HR-positive, HER2-negative breast cancer who received NAC from January 2010 to May 2018 at Siriraj Hospital, Mahidol University, Thailand, were recruited. Pre-treatment status of HR and HER2 was used to calculate the Magee Equation 2 scores. The pCR rates among different clinicopathological parameters were analyzed. Survival analysis was performed by Log-rank test. Kaplan-Meier survival curves were analyzed. RESULTS: A total of 215 patients were eligible. The pCR rates for low, intermediate, and high scores were 4.8%, 3.6%, and 23.8%, respectively. Patients with high scores had significantly higher size reduction and pCR rates compared to those with intermediate or low scores (p<0.001). Those with high scores had higher rates of locoregional recurrence and death. The patients with high score had significantly lower overall survival (p=0.034). CONCLUSION: Among patients with HR-positive and HER2-negative breast cancer treated with NAC, Magee Equation 2 might be used as a tool for predicting the pCR and clinical outcome.
Authors: Soonmyung Paik; Steven Shak; Gong Tang; Chungyeul Kim; Joffre Baker; Maureen Cronin; Frederick L Baehner; Michael G Walker; Drew Watson; Taesung Park; William Hiller; Edwin R Fisher; D Lawrence Wickerham; John Bryant; Norman Wolmark Journal: N Engl J Med Date: 2004-12-10 Impact factor: 91.245
Authors: Lindsey A Torre; Rebecca L Siegel; Elizabeth M Ward; Ahmedin Jemal Journal: Cancer Epidemiol Biomarkers Prev Date: 2015-12-14 Impact factor: 4.254
Authors: Denise A Yardley; Nancy W Peacock; Mythili Shastry; Howard A Burris; Rebecca G Bechhold; Carolyn B Hendricks; Carl N Yoshizawa; Amy P Sing; John D Hainsworth Journal: Breast Cancer Res Treat Date: 2015-10-27 Impact factor: 4.872
Authors: Hee Jun Choi; Jai Min Ryu; Isaac Kim; Seok Jin Nam; Seok Won Kim; Jonghan Yu; Jeong Eon Lee; Se Kyung Lee Journal: Ann Surg Treat Res Date: 2019-03-28 Impact factor: 1.859
Authors: Sandra Esperanza Díaz-Casas; Jorge Alberto Castilla-Tarra; Esperanza Pena-Torres; Martha Orozco-Ospino; Sara Mendoza-Diaz; Marcela Nuñez-Lemus; Oscar Garcia-Angulo; Mauricio Garcia-Mora; Luis Guzman-AbiSaab; Carlos Lehmann-Mosquera; Javier Angel-Aristizabal; Carlos Duarte-Torres; Juan Carlos Vergel-Martinez Journal: Oncologist Date: 2019-07-25