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

Deubiquitinase UCH-L1 confers paclitaxel resistance via stabilizing PKM2 to promote glycolysis in triple-negative breast cancer

去泛素化酶UCH-L1通过稳定PKM2促进糖酵解，从而赋予三阴性乳腺癌细胞紫杉醇耐药性。

期刊:Cell Death & Disease
影响因子:9.6
doi:10.1038/s41419-026-08521-7
Chen, Xisha; Zhou, Xiaoming; Meng, Yingcai; Zhou, Ying; Zhang, Wenjie; Yin, Liyang; Shen, Yingying; Zhong, Jing; Zhang, Taolan; Zu, Xuyu
肿瘤
表观遗传
肿瘤免疫
泛素化
乳腺癌
细胞生物学
发表日期：2026
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Multi-omics characterization of cachexia-related genes reveals prognostic signatures and immune landscape in breast cancer

对恶病质相关基因进行多组学表征，揭示乳腺癌的预后特征和免疫图谱

期刊:Clinical & Translational Oncology
影响因子:2.5
doi:10.1007/s12094-025-04025-6
Wang, Siyu; Zhu, Hongxia; Zhan, Wendi; Hao, Bo; Li, Zhuo; Zhang, Taolan
肿瘤
肿瘤免疫
乳腺癌
免疫/内分泌
发表日期：2026
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Multi-omics analysis revealed the novel role of NQO1 in microenvironment, prognosis and immunotherapy of hepatocellular carcinoma.

多组学分析揭示了 NQO1 在肝细胞癌微环境、预后和免疫治疗中的新作用

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-92700-7
Tang Ya, Hu Haihong, Chen Siyuan, Hao Bo, Xu Xuefeng, Zhu Hongxia, Zhan Wendi, Zhang Taolan, Hu Hongjuan, Chen Guodong
细胞生物学
发表日期：2025
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Neuronal inflammatory genes-based machine learning model for breast cancer: a novel perspective on clinical prognosis and tumor immunity

基于神经元炎症基因的乳腺癌机器学习模型：临床预后和肿瘤免疫的新视角

期刊:Discover Oncology
影响因子:2.9
doi:10.1007/s12672-025-04022-9
Wang, Hongxing; Hu, Haihong; Zhang, Jingdi; Hao, Bo; Zhu, Hongxia; Zhan, Wendi; Wang, Siyu; Li, Zhuo; Zhang, Taolan
肿瘤
炎症
肿瘤免疫
炎症/感染
神经科学
乳腺癌
免疫/内分泌
发表日期：2025
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Machine learning-based detoxification enzymes-related genes prognosis model in breast cancer: immune landscape and clinical significance

基于机器学习的乳腺癌解毒酶相关基因预后模型：免疫图谱和临床意义

期刊:Discover Oncology
影响因子:2.9
doi:10.1007/s12672-025-02656-3
Zhang, Jingdi; Zhan, Wendi; Hu, Haihong; Zhu, Hongxia; Hao, Bo; Wang, Siyu; Li, Zhuo; Zhang, Zhiming; Zhang, Taolan
肿瘤
肿瘤免疫
乳腺癌
免疫/内分泌
发表日期：2025
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Single-Cell Sequence and Machine Learning Identify a CD79A+B Cells-Related Transcriptional Signature for Predicting Clinical Outcomes and Immune Microenvironment in Breast Cancer

单细胞测序和机器学习鉴定出一种与CD79A+B细胞相关的转录特征，用于预测乳腺癌的临床结果和免疫微环境

期刊:Cancer Informatics
影响因子:2.5
doi:10.1177/11769351251360675
Hu, Haihong; Zhan, Wendi; Zhu, Hongxia; Hao, Bo; Yan, Ting; Zhang, Jingdi; Wang, Siyu; Zhang, Taolan
B细胞
肿瘤
CD7
肿瘤免疫
单细胞
乳腺癌
CD79A
细胞生物学
免疫/内分泌
发表日期：2025
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Insights into a Machine Learning-Based Palmitoylation-Related Gene Model for Predicting the Prognosis and Treatment Response of Breast Cancer Patients

基于机器学习的棕榈酰化相关基因模型在预测乳腺癌患者预后和治疗反应中的应用研究进展

期刊:Technology in Cancer Research & Treatment
影响因子:2.8
doi:10.1177/15330338241263434
Zhu, Hongxia; Hu, Haihong; Hao, Bo; Zhan, Wendi; Yan, Ting; Zhang, Jingdi; Wang, Siyu; Hu, Hongjuan; Zhang, Taolan
肿瘤
肿瘤免疫
乳腺癌
发表日期：2024
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A breast cancer classification and immune landscape analysis based on cancer stem-cell-related risk panel

基于癌症干细胞相关风险面板的乳腺癌分类和免疫图谱分析

期刊:npj Precision Oncology
影响因子:8
doi:10.1038/s41698-023-00482-w
Hu, Haihong; Zou, Mingxiang; Hu, Hongjuan; Hu, Zecheng; Jiang, Lingxiang; Escobar, David; Zhu, Hongxia; Zhan, Wendi; Yan, Ting; Zhang, Taolan
干细胞
乳腺癌
发育与干细胞
免疫/内分泌
肿瘤
细胞生物学
肿瘤免疫
发表日期：2023
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Investigation of fatty acid metabolism-related genes in breast cancer: Implications for Immunotherapy and clinical significance

乳腺癌中脂肪酸代谢相关基因的研究：对免疫疗法和临床意义的启示

期刊:Translational Oncology
影响因子:4.1
doi:10.1016/j.tranon.2023.101700
Tang, Liyang; Lei, Xiaoyong; Hu, Haihong; Li, Zhuo; Zhu, Hongxia; Zhan, Wendi; Zhang, Taolan
乳腺癌
免疫/内分泌
肿瘤
代谢
肿瘤免疫
发表日期：2023
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Network pharmacology analysis reveals potential targets and mechanisms of proton pump inhibitors in breast cancer with diabetes

网络药理学分析揭示了质子泵抑制剂在糖尿病合并乳腺癌中的潜在靶点和机制

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-023-34524-x
Hu, Haihong; Wang, Hanbin; Yang, Xiaoyan; Li, Zhicheng; Zhan, Wendi; Zhu, HongXia; Zhang, Taolan
肿瘤
肿瘤免疫
乳腺癌
代谢
糖尿病
发表日期：2023
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