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Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|August 25, 2025
Multi-Omics and Single-Cell Insights Reveal a Lysophosphatidic Acid (LPA)-Mediated Resistant Mechanism to Third Generation EGFR-TKI in Non-Small Cell Lung CancerRuyun Gao, Ning Lou, Sheng Yang, et al.Cancer Immunology, Immunotherapy : CII|April 3, 2023
Integrative analyses of bulk and single-cell RNA-seq identified cancer-associated fibroblasts-related signature as a prognostic factor for immunotherapy in NSCLCShasha Wang, Guangyu Fan, Lin Li, et al.Journal of Hematology & Oncology|May 3, 2023
Antibody response to SARS-CoV-2 WT and Omicron BA.4/5 of inactivated COVID-19 vaccine in patients with lung cancer after second and booster immunizationChen Chen, Liyuan Dai, Cuiling Zheng, et al.Translational Lung Cancer Research|May 13, 2024
Development and validation of a deep learning-based model to predict response and survival of T790M mutant non-small cell lung cancer patients in early clinical phase trials using electronic medical record and pharmacokinetic dataNing Lou, Xinge Cui, Xinyuan Lin, et al.Nanoscale|November 12, 2021
Surface specifically modified NK-92 cells with CD56 antibody conjugated superparamagnetic Fe3O4 nanoparticles for magnetic targeting immunotherapy of solid tumorsSongbo Zhao, Jiazhi Duan, Yalin Lou, et al.Lung Cancer (Amsterdam, Netherlands)|February 15, 2024
Longitudinal plasma proteomic profiling of EML4-ALK positive lung cancer receiving ALK-TKIs therapyShasha Wang, Xuezhi Hao, Liyuan Dai, et al.Cancer Immunology, Immunotherapy : CII|February 13, 2024
Longitudinal plasma proteomic analysis identifies biomarkers and combinational targets for anti-PD1-resistant cancer patientsQiaoyun Tan, Ruyun Gao, Xiaomei Zhang, et al.Genomics, Proteomics & Bioinformatics|December 11, 2024
A Novel IgG-IgM Autoantibody Panel Enhances Detection of Early-stage Lung Adenocarcinoma from Benign NodulesRongrong Luo, Xiying Li, Ruyun Gao, et al.BMC Pregnancy and Childbirth|May 5, 2025
Early prediction of preeclampsia from clinical, multi-omics and laboratory data using random forest modelQiang Zhao, Jia Li, Zhuo Diao, et al.BMC Medical Informatics and Decision Making|May 1, 2025
Predicting preeclampsia in early pregnancy using clinical and laboratory data via machine learning modelSongchang Chen, Jia Li, Xiao Zhang, et al.Pageof 2