Huang, Chi-ChengChi-ChengHuangChen, Ting-HaoTing-HaoChenLiu, Liang-ChihLiang-ChihLiuCHIUN-SHENG HUANGLiang, Ji-AnJi-AnLiangHsu, Yu-ChenYu-ChenHsuHsieh, Chia-MingChia-MingHsiehHuang, Sean-LinSean-LinHuangShih, Kuan-HuiKuan-HuiShihTseng, Ling-MingLing-MingTseng2023-07-122023-07-122022-12-192072-6694https://scholars.lib.ntu.edu.tw/handle/123456789/633536Background: A 23-gene classifier has been developed based on gene expression profiles of Taiwanese luminal-like breast cancer. We aim to stratify risk of relapse and identify patients who may benefit from adjuvant chemotherapy based on genetic model among distinct clinical risk groups. Methods: There were 248 luminal (hormone receptor-positive and human epidermal growth factor receptor II-negative) breast cancer patients with 23-gene classifier results. Using the modified Adjuvant! Online definition, clinical high/low-risk groups were tabulated with the genetic model. The primary endpoint was a recurrence-free interval (RFI) at 5 years. Results: There was a significant difference between the high/low-risk groups defined by the 23-gene classifier for the 5-year prognosis of recurrence (16 recurrences in high-risk and 3 recurrences in low-risk; log-rank test: p < 0.0001). Among the clinically high-risk group, the 5-year RFI of high risk defined by the 23-gene classifier was significantly higher than that of the low-risk group (15 recurrences in high-risk and 2 recurrences in low-risk; log-rank test: p < 0.0001). Conclusion: This study showed that 23-gene classifier can be used to stratify clinically high-risk patients into distinct survival patterns based on genomic risks and displays the potentiality to guide adjuvant chemotherapy. The 23-gene classifier can provide a better estimation of breast cancer prognosis which can help physicians make a better treatment decision.enAsianadjuvant! onlinegene expression profileluminal type breast cancerrecurrence[SDGs]SDG3journal article10.3390/cancers14246263365517482-s2.0-85144968871