Area of research
Hematology · Pathology and Forensic Medicine
Research interest
Research interests include Multiple Myeloma Research and Treatments, Acute Myeloid Leukemia Research, Lymphoma Diagnosis and Treatment, and Protein Degradation and Inhibitors.
Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autononous Driving
Mitoxantrone Hydrochloride Liposome Combined with Cytarabine As Induction Therapy for Patients with Newly Diagnosed Secondary Acute Myeloid Leukemia
Changing causes of death in persons with haematological cancers 1975–2016
Carfilzomib modulates tumor microenvironment to potentiate immune checkpoint therapy for cancer
Safety and efficacy of thalidomide in patients with transfusion-dependent β-thalassemia: a randomized clinical trial
A prognostic survival model based on metabolism-related gene expression in plasma cell myeloma
C‐Type Lectin‐Like Molecule‐1 as a Biomarker for Diagnosis and Prognosis in Acute Myeloid Leukemia: A Preliminary Study
Serum interleukin-6 is an indicator for severity in 901 patients with SARS-CoV-2 infection: a cohort study
Identification of cancer stem cell characteristics in liver hepatocellular carcinoma by WGCNA analysis of transcriptome stemness index
Fear of cancer recurrence in patients with multiple myeloma: Prevalence and predictors based on a family model analysis
Systematical identification of cell-specificity of CTCF-gene binding based on epigenetic modifications
Context-Specific Coordinately Regulatory Network Prioritize Breast Cancer Genetic Risk Factors
Systematical Identification of Breast Cancer-Related Circular RNA Modules for Deciphering circRNA Functions Based on the Non-Negative Matrix Factorization Algorithm
Single-cell RNA-seq data reveals TNBC tumor heterogeneity through characterizing subclone compositions and proportions
CAR-T cells targeting CLL-1 as an approach to treat acute myeloid leukemia
ENO2 Promotes Cell Proliferation, Glycolysis, and Glucocorticoid-Resistance in Acute Lymphoblastic Leukemia
Identification of a five‐lncRNA signature for predicting the risk of tumor recurrence in patients with breast cancer
LncNetP, a systematical lncRNA prioritization approach based on ceRNA and disease phenotype association assumptions