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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40715701 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Multi-omic-based classification for identifying optimal neoadjuvant treatment strategies for high-risk early-stage breast cancer. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Ji+F%22">Ji F</searchLink>; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.<br /><searchLink fieldCode="AU" term="%22Chen+X%22">Chen X</searchLink>; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.<br /><searchLink fieldCode="AU" term="%22Yang+C%22">Yang C</searchLink>; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.<br /><searchLink fieldCode="AU" term="%22Zhang+L%22">Zhang L</searchLink>; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.<br /><searchLink fieldCode="AU" term="%22Yang+M%22">Yang M</searchLink>; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.<br /><searchLink fieldCode="AU" term="%22Li+J%22">Li J</searchLink>; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.<br /><searchLink fieldCode="AU" term="%22Gao+H%22">Gao H</searchLink>; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.<br /><searchLink fieldCode="AU" term="%22Zhu+T%22">Zhu T</searchLink>; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.<br /><searchLink fieldCode="AU" term="%22Cheng+M%22">Cheng M</searchLink>; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.<br /><searchLink fieldCode="AU" term="%22Chen+Y%22">Chen Y</searchLink>; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.<br /><searchLink fieldCode="AU" term="%22Peng+H%22">Peng H</searchLink>; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.<br /><searchLink fieldCode="AU" term="%22Wang+J%22">Wang J</searchLink>; Department of Medicine, Amoy Diagnostics Co., Ltd., Xiamen, 361026, China.<br /><searchLink fieldCode="AU" term="%22Li+W%22">Li W</searchLink>; Department of Medicine, Amoy Diagnostics Co., Ltd., Xiamen, 361026, China.<br /><searchLink fieldCode="AU" term="%22Huang+Z%22">Huang Z</searchLink>; Department of Medicine, Amoy Diagnostics Co., Ltd., Xiamen, 361026, China.<br /><searchLink fieldCode="AU" term="%22Zhu+C%22">Zhu C</searchLink>; Department of Medicine, Amoy Diagnostics Co., Ltd., Xiamen, 361026, China.<br /><searchLink fieldCode="AU" term="%22Wang+K%22">Wang K</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101529880%22">Science China. Life sciences</searchLink> [Sci China Life Sci] 2025 Oct; Vol. 68 (10), pp. 2934-2949. <i>Date of Electronic Publication: </i>2025 Jul 24. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Science+China+Press%2C+co-published+with+Springer%22">Science China Press, co-published with Springer </searchLink><i>Country of Publication: </i>China <i>NLM ID: </i>101529880 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1869-1889 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216747305%22">16747305 </searchLink><i>NLM ISO Abbreviation: </i>Sci China Life Sci <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40715701 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11427-024-2809-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 2934 Titles: – TitleFull: Multi-omic-based classification for identifying optimal neoadjuvant treatment strategies for high-risk early-stage breast cancer. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ji F – PersonEntity: Name: NameFull: Chen X – PersonEntity: Name: NameFull: Yang C – PersonEntity: Name: NameFull: Zhang L – PersonEntity: Name: NameFull: Yang M – PersonEntity: Name: NameFull: Li J – PersonEntity: Name: NameFull: Gao H – PersonEntity: Name: NameFull: Zhu T – PersonEntity: Name: NameFull: Cheng M – PersonEntity: Name: NameFull: Chen Y – PersonEntity: Name: NameFull: Peng H – PersonEntity: Name: NameFull: Wang J – PersonEntity: Name: NameFull: Li W – PersonEntity: Name: NameFull: Huang Z – PersonEntity: Name: NameFull: Zhu C – PersonEntity: Name: NameFull: Wang K IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2025 Oct Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1869-1889 Numbering: – Type: volume Value: 68 – Type: issue Value: 10 Titles: – TitleFull: Science China. Life sciences Type: main |
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