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日期影响因子

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

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

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

发表日期：2025

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Construction of the bromodomain-containing protein-associated prognostic model in triple-negative breast cancer

构建含溴结构域蛋白相关预后模型在三阴性乳腺癌中的应用

期刊:Cancer Cell International

doi:10.1186/s12935-025-03648-7

Chen, Wei; Yu, Yushuai; Wang, Chenxi; Jiang, Zirong; Huang, Xiewei; Lin, Yidan; Han, Hongjing; Wang, Qing; Zhang, Hui

发表日期：2025

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Integrated single-cell and bulk transcriptomic analysis identifies a novel macrophage subtype associated with poor prognosis in breast cancer

整合单细胞和整体转录组分析，鉴定出一种与乳腺癌预后不良相关的新型巨噬细胞亚型

期刊:Cancer Cell International

doi:10.1186/s12935-025-03750-w

Wang, Qing; Yu, Yushuai; Ruan, Liqiong; Huang, Mingyao; Chen, Wei; Sun, Xiaomei; Liu, Jun; Jiang, Zirong

细胞生物学

免疫/内分泌

发表日期：2025

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Comparison of T-DM1 and trastuzumab-pertuzumab in HER2-positive breast cancer patients with residual disease after neoadjuvant therapy: a retrospective study

比较T-DM1与曲妥珠单抗-帕妥珠单抗治疗HER2阳性乳腺癌新辅助治疗后残留病灶患者的疗效：一项回顾性研究

期刊:World Journal of Surgical Oncology

影响因子:2.5

doi:10.1186/s12957-025-03909-9

Wang, Junxiao; Yu, Yushuai; Lin, Qisheng; Wang, Xin

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

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

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

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

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

发表日期：2024

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The value of oral selective estrogen receptor degraders in patients with HR-positive, HER2-negative advanced breast cancer after progression on ≥ 1 line of endocrine therapy: systematic review and meta-analysis

口服选择性雌激素受体降解剂在接受过至少一线内分泌治疗后进展的HR阳性、HER2阴性晚期乳腺癌患者中的价值：系统评价和荟萃分析

期刊:BMC Cancer

影响因子:3.4

doi:10.1186/s12885-023-11722-4

Huang, Xiewei; Yu, Yushuai; Luo, Shiping; Fu, Wenfen; Zhang, Jie; Song, Chuangui

免疫/内分泌

发表日期：2024

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