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A nomogram for predicting probability of low risk of MammaPrint results in women with clinically high-risk breast cancer
We aimed to develop a prediction MammaPrint (MMP) genomic risk assessment nomogram model for hormone-receptor positive (HR+) and human epidermal growth factor receptor-2 negative (HER2–) breast cancer and minimal axillary burden (N0-1) tumors using clinicopathological factors of patients who underwe...
Autores principales: | Lee, Young Joo, Hwang, Young Sol, Kim, Junetae, Ahn, Sei-Hyun, Son, Byung Ho, Kim, Hee Jeong, Ko, Beom Seok, Kim, Jisun, Chung, Il Yong, Lee, Jong Won, Lee, Sae Byul |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648770/ https://www.ncbi.nlm.nih.gov/pubmed/34873249 http://dx.doi.org/10.1038/s41598-021-02992-8 |
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