Ding Ma, Lei-Jie Dai, Xiang-Rong Wu, Cheng-Lin Liu, Shen Zhao, Hang Zhang, Li Chen, Yi Xiao, Ming Li, Yi-Zhi Zhao, Lin Yang, Tong Zhou, Jun-Jie Li, Wen-Tao Yang, Yi-Zhou Jiang, Zhi-Ming Shao
{"title":"Spatial determinants of antibody-drug conjugate SHR-A1811 efficacy in neoadjuvant treatment for HER2-positive breast cancer","authors":"Ding Ma, Lei-Jie Dai, Xiang-Rong Wu, Cheng-Lin Liu, Shen Zhao, Hang Zhang, Li Chen, Yi Xiao, Ming Li, Yi-Zhi Zhao, Lin Yang, Tong Zhou, Jun-Jie Li, Wen-Tao Yang, Yi-Zhou Jiang, Zhi-Ming Shao","doi":"10.1016/j.ccell.2025.03.017","DOIUrl":null,"url":null,"abstract":"Selecting optimal candidates for next-generation anti-human epidermal growth factor receptor 2 (HER2) antibody-drug conjugates (ADCs) remains challenging. We conduct a prespecified translational study to identify treatment biomarkers in SHR-A1811-treated HER2-positive breast cancer patients from the phase 2 neoadjuvant FASCINATE-N trial using DNA and RNA sequencing, computational pathology, and single-cell <em>in situ</em> spatial imaging. In the hormone receptor (HR)-negative subgroup, a higher proportion and more infiltration of immune cells (i.e., tumor-infiltrating lymphocytes [TILs]), particularly cytotoxic T cells, are associated with better treatment responses. In the HR-positive subgroup, the closeness and aggregation of HER2-strong-positive tumor cells, as opposed to a uniform distribution, are linked to a lower response rate and HER2 luminal-like (HER2-LUM) subtype, which more closely resembles HR+/HER2− breast cancer. In addition, we develop a clinically practical predictive model capable of predicting neoadjuvant treatment responses to SHR-A1811 and other novel ADCs based on clinicopathological characteristics and pathological images.","PeriodicalId":9670,"journal":{"name":"Cancer Cell","volume":"3 1","pages":""},"PeriodicalIF":48.8000,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Cell","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.ccell.2025.03.017","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Selecting optimal candidates for next-generation anti-human epidermal growth factor receptor 2 (HER2) antibody-drug conjugates (ADCs) remains challenging. We conduct a prespecified translational study to identify treatment biomarkers in SHR-A1811-treated HER2-positive breast cancer patients from the phase 2 neoadjuvant FASCINATE-N trial using DNA and RNA sequencing, computational pathology, and single-cell in situ spatial imaging. In the hormone receptor (HR)-negative subgroup, a higher proportion and more infiltration of immune cells (i.e., tumor-infiltrating lymphocytes [TILs]), particularly cytotoxic T cells, are associated with better treatment responses. In the HR-positive subgroup, the closeness and aggregation of HER2-strong-positive tumor cells, as opposed to a uniform distribution, are linked to a lower response rate and HER2 luminal-like (HER2-LUM) subtype, which more closely resembles HR+/HER2− breast cancer. In addition, we develop a clinically practical predictive model capable of predicting neoadjuvant treatment responses to SHR-A1811 and other novel ADCs based on clinicopathological characteristics and pathological images.
期刊介绍:
Cancer Cell is a journal that focuses on promoting major advances in cancer research and oncology. The primary criteria for considering manuscripts are as follows:
Major advances: Manuscripts should provide significant advancements in answering important questions related to naturally occurring cancers.
Translational research: The journal welcomes translational research, which involves the application of basic scientific findings to human health and clinical practice.
Clinical investigations: Cancer Cell is interested in publishing clinical investigations that contribute to establishing new paradigms in the treatment, diagnosis, or prevention of cancers.
Insights into cancer biology: The journal values clinical investigations that provide important insights into cancer biology beyond what has been revealed by preclinical studies.
Mechanism-based proof-of-principle studies: Cancer Cell encourages the publication of mechanism-based proof-of-principle clinical studies, which demonstrate the feasibility of a specific therapeutic approach or diagnostic test.