仿形(计算机编程)
蛋白质基因组学
敏化
结合
乳腺癌
计算生物学
医学
生物
人体乳房
计算机科学
生物信息学
癌症研究
乳腺肿瘤
作者
Yuwen Cai,Shuhan Jia,Hao Wang,Ke-Da Yu,Yan-Wu Zhang,Zhi-Ming Shao,Han‐Dong Sun,Ke‐Da Yu
标识
DOI:10.1016/j.xcrm.2026.102987
摘要
Antibody-drug conjugates (ADCs) have transformed the treatment of HER2-positive breast cancer, yet resistance remains poorly understood. Using imaging mass cytometry, we profiled 157 regions of interest comprising 912,360 single cells from 47 HER2-positive/hormone receptor-negative breast cancers treated with SHR-A1811 in the FASCINATE-N trial. Spatial proteomic analyses identified two determinants of ADC response: elevated tumor-cell H3K27ac expression was associated with improved ADC efficacy, whereas collagen-positive fibroblasts mediated resistance. Combining ADC with the histone deacetylase inhibitor chidamide or the collagen-modulating agent losartan produced synergistic antitumor effects in preclinical models. These biomarkers and therapeutic vulnerabilities were independently validated in patients with advanced HER2-positive disease receiving trastuzumab deruxtecan. Moreover, based on these spatial features, we developed a clinically applicable ADC barrier prediction model that can be implemented using multiplex immunofluorescence. Taken together, our findings reveal actionable spatial determinants of ADC efficacy and suggest potential combination therapeutic strategies.
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