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Scientific Reports|October 16, 2024
Corticosteroids for hospitalized patients with severe/critical COVID-19: a retrospective study in Chongqing, ChinaRongjuan Zhuang, Hongli Xia, Li Xu, et al.Translational Oncology|December 15, 2024
Prognostic prediction for inflammatory breast cancer patients using random survival forest modelingYiwei Jia, Chaofan Li, Cong Feng, et al.Medicine|February 23, 2023
Comprehensive analysis of NT5DC family prognostic and immune significance in breast cancerYiwei Jia, Jia Li, Huizi Wu, et al.Journal for Immunotherapy of Cancer|September 3, 2025
Preclinical evaluation of antitumor activity and toxicity of TROP2-specific CAR-T cells for treatment of triple-negative breast cancerShiyu Sun, Xiaojia Wang, Yongchen Chen, et al.Frontiers in Genetics|October 13, 2022
The cuproptosis-related signature predicts prognosis and indicates immune microenvironment in breast cancerJia Li, Fei Wu, Chaofan Li, et al.Life Sciences|October 30, 2024
FUT3 promotes gastric cancer cell migration by synthesizing Lea on ITGA6 and GLG1, affecting adhesion and vesicle distributionFei Wu, Li Cao, Jinyuan Zhang, et al.BMC Biology|May 23, 2022
Genome of the parasitoid wasp Cotesia chilonis sheds light on amino acid resource exploitationXinhai Ye, Shijiao Xiong, Ziwen Teng, et al.Pigment Cell & Melanoma Research|April 1, 2015
NF1 loss induces senescence during human melanocyte differentiation in an iPSC-based modelLionel Larribere, Huizi Wu, Daniel Novak, et al.Frontiers in Immunology|October 24, 2022
A novel hypoxia- and lactate metabolism-related signature to predict prognosis and immunotherapy responses for breast cancer by integrating machine learning and bioinformatic analysesJia Li, Hao Qiao, Fei Wu, et al.Journal of Translational Medicine|June 21, 2023
Novel models by machine learning to predict prognosis of breast cancer brain metastasesChaofan Li, Mengjie Liu, Yinbin Zhang, et al.Pageof 4