日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Genetically engineered macrophages delivering TRAIL targeting the Wnt/β-catenin pathway to induce cytotoxicity against TNBC.

基因工程改造的巨噬细胞递送 TRAIL，靶向 Wnt/β-catenin 通路，诱导对 TNBC 的细胞毒性。

期刊:Cell Communication and Signaling
影响因子:8.9
doi:10.1186/s12964-025-02394-7
Huang Mingyao, Yu Xin, Jiang Zirong, Li Xiaofen, Yang Shuo, Luo Shiping, Song Chuangui
细胞生物学
巨噬细胞
TRAIL
巨噬细胞
发表日期：2026
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Longitudinal tissue analysis reveals microenvironmental changes correlate with combined immunotherapy and targeted therapy response in metastatic breast cancer

纵向组织分析揭示，转移性乳腺癌中微环境变化与联合免疫疗法和靶向疗法的疗效相关

期刊:Journal for ImmunoTherapy of Cancer
影响因子:10.6
doi:10.1136/jitc-2025-012629
Liao, Jian-You; Wang, Jien; Li, Hengyu; Liu, Zhijun; Tian, Zhenluan; Lv, Xinying; Peng, Jianjian; Song, Chuangui; Liu, Jieqiong
肿瘤
肿瘤免疫
乳腺癌
免疫/内分泌
发表日期：2025
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Safety and Efficacy of KN046 in Combination with KN026 in Patients with Advanced HER2-Positive Breast Cancer: A Phase II Trial

KN046联合KN026治疗晚期HER2阳性乳腺癌患者的安全性和有效性：一项II期试验

期刊:Clinical Cancer Research
影响因子:10.2
doi:10.1158/1078-0432.CCR-24-3888
Liu, Jieqiong; Song, Chuangui; Yang, Yaping; Wang, Xiangcai; Ni, Mingli; Wang, Xujuan; Chen, Lei; Yang, Hongwei; Zhao, Rusen; Xu, Ting; Shen, Lin
HER2
肿瘤
肿瘤免疫
乳腺癌
发表日期：2025
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Machine learning model for predicting tertiary lymphoid structures and treatment response in triple-negative breast cancer

用于预测三阴性乳腺癌三级淋巴结构和治疗反应的机器学习模型

期刊:npj Precision Oncology
影响因子:8
doi:10.1038/s41698-025-01012-6
Lin, Yidan; Yu, Yushuai; Wang, Qing; Huang, Kaiyan; Guo, Shukai; Zhang, Jie; He, Yihui; Yu, Xin; Zhang, Jiwen; Meng, Fan; Tang, Shicong; Yuan, Junhui; Song, Chuangui
肿瘤
肿瘤免疫
乳腺癌
发表日期：2025
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Heterogeneity of tertiary lymphoid structures predicts the response to neoadjuvant therapy and immune microenvironment characteristics in triple-negative breast cancer.

三级淋巴结构的异质性可预测三阴性乳腺癌对新辅助治疗的反应和免疫微环境特征

期刊:British Journal of Cancer
影响因子:6.8
doi:10.1038/s41416-024-02917-y
Wang Qing, Yu Yushuai, Wang Chenxi, Jiang Zirong, Li Jialu, Li Xiaofen, Huang Xiewei, Song Ying, Li Zhenhui, Tang Shicong, Song Chuangui
免疫/内分泌
乳腺癌
发表日期：2025
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A novel prognostic signature identifies MFAP4 as a tumor suppressor linking the tumor microenvironment to PI3K/AKT signaling in triple-negative breast cancer

一种新型预后特征将MFAP4鉴定为一种肿瘤抑制因子，它将肿瘤微环境与三阴性乳腺癌中的PI3K/AKT信号通路联系起来。

期刊:Frontiers in Immunology
影响因子:5.9
doi:10.3389/fimmu.2025.1709141
Yu, Xiaoqin; Li, Xiaofen; Luo, Shiping; Song, Chuangui
肿瘤
肿瘤免疫
信号转导
乳腺癌
FAP
AKT
肿瘤微环境
发表日期：2025
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Non-invasive prediction of axillary lymph node dissection exemption in breast cancer patients post-neoadjuvant therapy: A radiomics and deep learning analysis on longitudinal DCE-MRI data

乳腺癌新辅助治疗后患者腋窝淋巴结清扫豁免的非侵入性预测：基于纵向动态对比增强磁共振成像数据的放射组学和深度学习分析

期刊:Breast
影响因子:7.9
doi:10.1016/j.breast.2024.103786
Yu, Yushuai; Chen, Ruiliang; Yi, Jialu; Huang, Kaiyan; Yu, Xin; Zhang, Jie; Song, Chuangui
肿瘤
肿瘤免疫
乳腺癌
发表日期：2024
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Predictive model of prognosis index for invasive micropapillary carcinoma of the breast based on machine learning: a SEER population-based study

基于机器学习的乳腺浸润性微乳头状癌预后指数预测模型：一项基于SEER人群的研究

期刊:BMC Medical Informatics and Decision Making
影响因子:3.8
doi:10.1186/s12911-024-02669-y
Jiang, Zirong; Yu, Yushuai; Yu, Xin; Huang, Mingyao; Wang, Qing; Huang, Kaiyan; Song, Chuangui
肿瘤
肿瘤免疫
发表日期：2024
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Adjuvant chemotherapy and survival in males aged 70 years or older with breast cancer: a population-based retrospective study

辅助化疗与70岁及以上男性乳腺癌患者生存率：一项基于人群的回顾性研究

期刊:BMC Geriatrics
影响因子:3.8
doi:10.1186/s12877-024-04861-1
Yu, Yushuai; Huang, Kaiyan; Liu, Yushan; Chen, Ruiliang; Yu, Xin; Song, Chuangui
肿瘤
肿瘤免疫
乳腺癌
发表日期：2024
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Does T1c-2N0-1M0 triple negative breast cancer derive a benefit from neoadjuvant chemotherapy?

T1c-2N0-1M0 三阴性乳腺癌能否从新辅助化疗中获益？

期刊:European Journal of Medical Research
影响因子:3.4
doi:10.1186/s40001-024-02139-1
Chen, Ruiliang; Yu, Yushuai; Chen, Weiwei; Fu, Wenfen; Song, Chuangui; Zhang, Jie
乳腺癌
肿瘤免疫
肿瘤
发表日期：2024
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