Multi-omic-based classification for identifying optimal neoadjuvant treatment strategies for high-risk early-stage breast cancer.
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| Title: | Multi-omic-based classification for identifying optimal neoadjuvant treatment strategies for high-risk early-stage breast cancer. |
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| Authors: | Ji F; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China., Chen X; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China., Yang C; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China., Zhang L; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China., Yang M; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China., Li J; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China., Gao H; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China., Zhu T; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China., Cheng M; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China., Chen Y; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China., Peng H; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China., Wang J; Department of Medicine, Amoy Diagnostics Co., Ltd., Xiamen, 361026, China., Li W; Department of Medicine, Amoy Diagnostics Co., Ltd., Xiamen, 361026, China., Huang Z; Department of Medicine, Amoy Diagnostics Co., Ltd., Xiamen, 361026, China., Zhu C; Department of Medicine, Amoy Diagnostics Co., Ltd., Xiamen, 361026, China., Wang K; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China. wangkun@gdph.org.cn. |
| Source: | Science China. Life sciences [Sci China Life Sci] 2025 Oct; Vol. 68 (10), pp. 2934-2949. Date of Electronic Publication: 2025 Jul 24. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Science China Press, co-published with Springer Country of Publication: China NLM ID: 101529880 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1869-1889 (Electronic) Linking ISSN: 16747305 NLM ISO Abbreviation: Sci China Life Sci Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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