Area of research
Hematology · Molecular Biology
Research interest
Research interests include Acute Myeloid Leukemia Research, Epigenetics and DNA Methylation, Inflammatory Bowel Disease, and Cancer survivorship and care.
Incidence, mortality, and risk factors of bladder, kidney, prostate and testicular cancers in China and comparisons with the United States, the United Kingdom, Japan, and the Republic of Korea: an up-to-date overview based on the Global Burden of Disease 2021
Global, regional, and national burden of ischemic stroke, 1990–2021: an analysis of data from the global burden of disease study 2021
BCL2 overexpression: clinical implication and biological insights in acute myeloid leukemia
The clinicopathologic features of chronic active Epstein-Barr virus infective enteritis
Comparison of the clinical efficacy of craniotomy and craniopuncture therapy for the early stage of moderate volume spontaneous intracerebral haemorrhage in basal ganglia: Using the CTA spot sign as an entry criterion
Epigenetic dysregulation of <i>ID4</i> predicts disease progression and treatment outcome in myeloid malignancies
<i>KRAS</i> overexpression independent of <i>RAS</i> mutations confers an adverse prognosis in cytogenetically normal acute myeloid leukemia
Hypomethylation‐mediated <i>H19</i> overexpression increases the risk of disease evolution through the association with <i>BCR‐ABL</i> transcript in chronic myeloid leukemia
<i>TET2</i> expression is a potential prognostic and predictive biomarker in cytogenetically normal acute myeloid leukemia
Hyperbaric-Oxygen Therapy Improves Survival and Functional Outcome of Acute Severe Intracerebral Hemorrhage
Reduced<i>miR-215</i>expression predicts poor prognosis in patients with acute myeloid leukemia
CEBPA methylation and mutation in myelodysplastic syndrome
Epigenetic inactivation of DLX4 is associated with disease progression in chronic myeloid leukemia
DNMT3A intragenic hypomethylation is associated with adverse prognosis in acute myeloid leukemia
Detection of SRSF2-P95 Mutation by High-Resolution Melting Curve Analysis and Its Effect on Prognosis in Myelodysplastic Syndrome