Construction of efficacy prediction model for T-DXd treatment of HER2-positive and HER2-low expression breast cancer based on hematological indicators: A real-world study.
- DOI
- 10.1016/j.compbiolchem.2026.109391
- Published
- 2026 Sep 4
- Container
- Computational biology and chemistry
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compbiolchem.2026.109391,
title = {Construction of efficacy prediction model for T-DXd treatment of HER2-positive and HER2-low expression breast cancer based on hematological indicators: A real-world study.},
author = {Su Y and Sang D and Zhang G and Liu H and Zhang Y and Fan S and Zhang J and Li S and Zhang Y and Feng H and Zhao M and Zhao L and Yuan P and He B and Li M},
year = {2026},
journal = {Computational biology and chemistry},
doi = {10.1016/j.compbiolchem.2026.109391},
url = {https://doi.org/10.1016/j.compbiolchem.2026.109391}
}RIS
TY - JOUR TI - Construction of efficacy prediction model for T-DXd treatment of HER2-positive and HER2-low expression breast cancer based on hematological indicators: A real-world study. AU - Su Y AU - Sang D AU - Zhang G AU - Liu H AU - Zhang Y AU - Fan S AU - Zhang J AU - Li S AU - Zhang Y AU - Feng H AU - Zhao M AU - Zhao L AU - Yuan P AU - He B AU - Li M PY - 2026 JO - Computational biology and chemistry DO - 10.1016/j.compbiolchem.2026.109391 UR - https://doi.org/10.1016/j.compbiolchem.2026.109391 ER -
APA
Y, S., D, S., G, Z., H, L., Y, Z., S, F., J, Z., S, L., Y, Z., H, F., M, Z., L, Z., P, Y., B, H., & M, L. (2026). Construction of efficacy prediction model for T-DXd treatment of HER2-positive and HER2-low expression breast cancer based on hematological indicators: A real-world study.. Computational biology and chemistry. https://doi.org/10.1016/j.compbiolchem.2026.109391
Source records
- pubmed · retrieved 2026-09-25T22:44:56.239Z