Jeeyeon Lee1, Won Hwa Kim2, Ji-Young Park3, Ho Yong Park4, Jin Hyang Jung1, Wan Wook Kim1, Chan Sub Park1, Ryu Kyung Lee1, Jee Young Park5, Yee Soo Chae6, Soo Jung Lee6, Hye Jung Kim2. 1. Department of Surgery, School of Medicine, Kyungpook National University, Daegu, Republic of Korea. 2. Department of Radiology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea. 3. Department of Pathology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea phy123@knu.ac.kr jyppark@gmail.com. 4. Department of Surgery, School of Medicine, Kyungpook National University, Daegu, Republic of Korea phy123@knu.ac.kr jyppark@gmail.com. 5. Department of Pathology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea. 6. Department of Hemato-Oncology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Abstract
BACKGROUND/AIM: Multigene profiling assays provide strong evidence for predicting the prognosis of breast cancer. In this study, we aimed to evaluate the clinical validation of the BCT score with various prognostic factors. MATERIALS AND METHODS: A total of 133 cases of hormone receptor-positive, cT1N0 breast cancers were analyzed. Risk stratification using the BCT score (Low, n=105; High, n=28) was analyzed with Ki67 index, p53 mutation, Immunohistochemistry 4 (IHC4) score, Nottingham Prognostic Index (NPI) and online PREDICT. RESULTS: Ki67 index and NPI showed strong correlations with risk stratification based on BCT scores. Although the IHC4 score and online PREDICT were not associated with BCT score, there was a significant tendency of association with the online PREDICT results as the time of overall survival was increasing. CONCLUSION: Risk classification based on BCT scores might have a clinical significance as a prognostic marker in hormone receptor-positive, HER2-negative, early breast cancer. Copyright
BACKGROUND/AIM: Multigene profiling assays provide strong evidence for predicting the prognosis of breast cancer. In this study, we aimed to evaluate the clinical validation of the BCT score with various prognostic factors. MATERIALS AND METHODS: A total of 133 cases of hormone receptor-positive, cT1N0 breast cancers were analyzed. Risk stratification using the BCT score (Low, n=105; High, n=28) was analyzed with Ki67 index, p53 mutation, Immunohistochemistry 4 (IHC4) score, Nottingham Prognostic Index (NPI) and online PREDICT. RESULTS: Ki67 index and NPI showed strong correlations with risk stratification based on BCT scores. Although the IHC4 score and online PREDICT were not associated with BCT score, there was a significant tendency of association with the online PREDICT results as the time of overall survival was increasing. CONCLUSION: Risk classification based on BCT scores might have a clinical significance as a prognostic marker in hormone receptor-positive, HER2-negative, early breast cancer. Copyright
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