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

Corrigendum to "HJURP inhibits sensitivity to ferroptosis inducers in prostate cancer cells by enhancing the peroxidase activity of PRDX1" [Redox Biology 77 (2024) 103392]

对“HJURP 通过增强 PRDX1 的过氧化物酶活性抑制前列腺癌细胞对铁死亡诱导剂的敏感性”的更正 [Redox Biology 77 (2024) 103392]

Lai, Wenjie; Zhu, Weian; Wu, Jianjie; Huang, Jiongduan; Li, Xiaojuan; Luo, Yun; Wang, Yu; Zeng, Hengda; Li, Mingqiang; Qiu, Xiaofu; Wen, Xingqiao

A Deep Learning-Generated Mixed Tumor-Stroma Ratio for Prognostic Stratification and Multi-omics Profiling in Bladder Cancer

深度学习生成的混合肿瘤-基质比率用于膀胱癌的预后分层和多组学分析

He, Yifeng; Xie, Jinbo; Zhong, Suquan; Zhan, Changxin; Dai, Fazhong; Lai, Hongshen; Wang, Mancun; He, Yanyan; Patel, Harsh; Chen, Zhe-Sheng; Zhong, Biling; Qiu, Xiaofu; Guo, Yadong; Zheng, Zongtai

Pure spin current polarizer enabled by antiferromagnetic insulator

利用反铁磁绝缘体实现的纯自旋电流极化器

Chen, Hetian; Jiang, Dingsong; Zhang, Yujun; Qiu, Xiaofu; Liang, Yuhan; Zhang, Qinghua; Zhu, Fangyuan; Ohkochi, Takuo; Chen, Mingfeng; Wang, Yue; Liu, Jingchun; He, Qing; Ma, Jing; Yu, Pu; Lin, Yuanhua; Nan, Tianxiang; Yi, Di

Histone methyltransferase KMT2D targets the SPOP-G3BP1 axis to enhance AR stability and drive castration-resistant prostate cancer progression.

组蛋白甲基转移酶 KMT2D 靶向 SPOP-G3BP1 轴,以增强 AR 稳定性并驱动去势抵抗性前列腺癌的进展。

Wen Haoran, Maheremu Maierhaba, Zhang Kaidi, Bao Liuru, Luo Mayao, Zhang Yifan, Liao Yuanpeng, Zhou Manli, Wu Chenwei, Lv Shidong, Qiu Xiaofu, Wei Qiang

Pathology-based deep learning features for predicting basal and luminal subtypes in bladder cancer

基于病理学的深度学习特征预测膀胱癌的基底型和腔型亚型

Zheng, Zongtai; Dai, Fazhong; Liu, Ji; Zhang, Yongqiang; Wang, Zhenwei; Wang, Bangqi; Qiu, Xiaofu

An interpretable machine learning model integrating computed tomography radiomics and clinical features for predicting the urosepsis after percutaneous nephrolithotomy

一种整合计算机断层扫描放射组学和临床特征的可解释机器学习模型,用于预测经皮肾镜取石术后尿脓毒症

Zeng, Shengtao; Cao, Zhi; Xu, Haoxiang; Yang, Chenglin; Wang, Kaiqiang; Yang, Yue; Qiu, Xiaofu; Xiao, Yuansong; Zhang, Xiaoming; Fu, Qiangfeng; Wang, Wei

Development of a machine learning-based predictive risk model combining fatty acid metabolism and ferroptosis for immunotherapy response and prognosis in prostate cancer.

开发基于机器学习的预测风险模型,结合脂肪酸代谢和铁死亡,用于预测前列腺癌的免疫治疗反应和预后

Wang Zhenwei, Dai Zhihong, Gao Yuren, Zhao Zhongxiang, Li Zhen, Wang Liang, Gao Xiang, Qiu Qiuqiu, Qiu Xiaofu, Liu Zhiyu

Global Burden and Trends of UTI in Premenopausal and Postmenopausal Women from 1990 to 2021 and Projections to 2044

1990年至2021年绝经前和绝经后妇女尿路感染的全球负担和趋势以及至2044年的预测

Tang, Ke; Feng, Jiayao; Lai, Hongshen; Zhao, Zhongxiang; Zou, Yeson; Lv, Qian; Dai, Fazhong; Qiu, Xiaofu; Lai, Wenjie

Integrating transcriptomics, single-cell omics, and deep learning-based histopathological features to identify OLFML3 in bladder cancer

整合转录组学、单细胞组学和基于深度学习的组织病理学特征,以鉴定膀胱癌中的OLFML3基因

Dai, Fazhong; He, Yifeng; Huang, Xiongsheng; Lin, Kangjian; Zheng, Zongtai; Qiu, Xiaofu

Integrated single-cell genomics, transcriptomics, and pathomics to identify potential biomarkers in muscle-invasive bladder cancer

整合单细胞基因组学、转录组学和病理组学,以识别肌层浸润性膀胱癌的潜在生物标志物

He, Yifeng; Dai, Fazhong; Wang, Zhenwei; Zhang, Shengming; Zeng, Deqin; Duan, Juan; Zhou, Daiwei; Zheng, Zongtai; Qiu, Xiaofu