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유방암 연구 저널 Failure patterns according to molecular subtype in patients with invasive breast cancer following postoperative adjuvant radiotherapy: long-term outcomes in contemporary clinical practice 2017.03.17.Breast Cancer Res Treat . 2017 Jun;163(3):555-563 논문 보기MethodsWe analyzed data from 1181 individuals with invasive breast cancer undergoing surgery plus PORT from 2003 to 2011. Molecular subtypes were defined as luminal A (LA), luminal B (LB)-HER2(-), LB-HER2(+), HER2, and triple-negative (TN) ba
sed on the 2013 St. Gallen Consensus criteria. Competing risks analysis and ba seline hazard rate function plots were used to explore subtype-specific recurrence patterns. ResultsThe 10-year overall survival rates of LA, LB-HER2(-), LB-HER2(+), HER2, and TN groups were 96, 93, 94, 84, and 85%, respectively (P < 0.001). Distant metastatic events differed significantly according to molecular subtype (P < 0.001). In competing risks regression analysis, initial development of distant me tastasis was the highest with TN tumors, followed by HER2, LB-HER2(-), and LB-HER2(+) subtypes (P = 0.005). Regarding preferential sites of distant me tastasis, the risk of initial brain me tastasis was significantly higher with HER2 tumors, followed by TN tumors (P = 0.001). A low-level but sustained me tastatic risk increment was observed in luminal tumors, whereas TN and HER2 subtypes showed a short-term risk surge within 5 years. ConclusionsFrom the significant impact of molecular profile on distant metastasis, subtype-specific individualization of systemic treatment and close surveillance are suggested. The preferential and long-term risk of brain me tastasis in the HER2 subtype underlines the importance of alternative anti-HER2 therapies.
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Failure patterns according to molecular subtype in patients with invasive breast cancer following postoperative adjuvant radiotherapy: long-term outcomes in contemporary clinical practice
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KOHBRA BRCA risk calculator (KOHCal): a model for predicting BRCA1 and BRCA2 mutations in Korean breast cancer patients












