The role of radiomics in predicting the response to neoadjuvant chemotherapy for breast cancer [0.03%]
影像组学在预测乳腺癌新辅助化疗反应中的作用研究
Yilin Chen,Ye Qin,Man Yang et al.
Yilin Chen et al.
Breast cancer exhibits profound biological and spatial heterogeneity, which contributes to variable responses to neoadjuvant chemotherapy (NAC) and challenges precision treatment planning. Radiomics, an emerging discipline that converts sta...
Balancing global standards and regional nuances in breast cancer care: the role of guidelines, clinical research, precision medicine, and artificial intelligence in advancing quality of care for patients worldwide [0.03%]
全球标准与区域差异在乳腺癌诊治中的平衡：指南、临床研究、精准医疗及人工智能在提升全球患者治疗效果中的作用
Michael Gnant
Michael Gnant
Precision immunotherapy for breast cancer: from biomarkers to clinical practice [0.03%]
乳腺癌精准免疫治疗：从生物标志物到临床实践
Jie Mei,Kai Yang,Xinkang Zhang et al.
Jie Mei et al.
Integrative multi-omic analysis identified ERBB2 mutations and senescence-driven immune suppression as dual therapeutic targets in LAR triple-negative breast cancer [0.03%]
整合多组学分析识别出ERBB2突变和衰老驱动的免疫抑制是LAR型三阴性乳腺癌的双重治疗靶点
Yaxin Zhao,Han Wang,Ying Wang et al.
Yaxin Zhao et al.
Objective: The luminal androgen receptor (LAR) subtype of triple-negative breast cancer (TNBC) differentiation displays low proliferation yet strong metastatic potential and a poor chemotherapy response. This study aimed ...
Advances in TROP2-targeted antibody-drug conjugates for breast cancer therapy: into the new era [0.03%]
乳腺癌治疗的TROP2靶向抗体药物偶联物新进展：开启新时代
Kuikui Jiang,Shusen Wang
Kuikui Jiang
Jianbin Li,Zefei Jiang
Jianbin Li
Breast cancer is the most common malignant tumor among women globally and poses a major public health challenge due to limitations in traditional diagnostic and treatment processes, such as subjective interpretation biases and inefficient m...
Protocol and statistical designs in classic clinical research-toripalimab series trial analysis [0.03%]
经典临床研究的方案和统计设计——托里帕利单抗系列试验分析
Yingjian He,Li Bian,Zefei Jiang
Yingjian He
Multimodal artificial intelligence predicts PIK3CA mutation in breast cancer from digital pathology and clinical data: a multicenter study [0.03%]
多模态人工智能从数字病理学和临床数据中预测乳腺癌的PIK3CA突变：一项多中心研究
Jiaxian Miao,Qi Liu,Jianing Zhao et al.
Jiaxian Miao et al.
Objective: Accurate detection of PIK3CA mutations is essential for guiding PI3K-targeted therapies in breast cancer, yet sequencing is not universally accessible, and single-modality prediction models have limited perform...
Multicenter Study
Cancer biology & medicine. 2026 Apr 7;23(3):430-450. DOI:10.20892/j.issn.2095-3941.2025.0771 2026
Non-coding RNA delivery via lipid nanoparticles: a novel strategy for cancer immunotherapy [0.03%]
脂质纳米颗粒递送非编码RNA：癌症免疫治疗的新策略
Yufei Sheng,Lulu Yang,Boyang Wang et al.
Yufei Sheng et al.
Non-coding RNAs (ncRNAs) regulate antitumor immunity but clinical use is hindered by instability, poor specificity, and immunogenic risk. Lipid nanoparticles (LNPs) offer a promising delivery solution due to biocompatibility, a modifiable s...