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Integrated bulk and single-cell transcriptomic analysis unveiled a novel cuproptosis-related lipid metabolism gene molecular pattern and a risk index for predicting prognosis and antitumor drug sensitivity in breast cancer

Crossref DOI link: https://doi.org/10.1007/s12672-025-02044-x

Published Online: 2025-03-14

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zeng, Cheng https://orcid.org/0000-0002-9392-8259
Xu, Chang

Liu, Shuning

Wang, Yuanyi

Wei, Yuhan

Qi, Yalong

Wang, Yue

Wang, Jiani

Ma, Fei https://orcid.org/0000-0001-9432-1902
Funding

Funding for this research was provided by:

Jiangsu University Medical Education Collaborative Innovation Fund Project (JDY2023017)

Changzhou Sci & Tech Program (CJ20230007)

Jiangsu Province Key Laboratory of Tumor Biotherapy (XZSYSKF2020005)

Chinese Society of Clinical Oncology (CSCO) Roche Oncology Research Fund Project (Y-Roche2019/2-0046)

National Natural Science Foundation of China (82230058, 82172875)

Noncommunicable Chronic Diseases-National Science and Technology Major Project (2023ZD0502200)

joint innovative Fund of Beijing Natural Science Foundation and Changping District (L234004)
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Text and Data Mining valid from 2025-03-14

Version of Record valid from 2025-03-14
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Article History

Received: 21 August 2024

Accepted: 4 March 2025

First Online: 14 March 2025

Declarations

:

: The data for this study were sourced from publicly available databases, and ethical approval was not needed.

: The authors declare no competing interests.

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