A5101531587- Lung Cancer Treatments and Mutations
- Cancer Genomics and Diagnostics
- Lung Cancer Research Studies
- Machine Learning in Healthcare
- Artificial Intelligence in Healthcare
- Biomedical Text Mining and Ontologies
- MicroRNA in disease regulation
- Metabolomics and Mass Spectrometry Studies
- Peroxisome Proliferator-Activated Receptors
- Computational Drug Discovery Methods
- Traditional Chinese Medicine Studies
- Renal and related cancers
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Machine Learning in Bioinformatics
- Circular RNAs in diseases
- Cancer, Lipids, and Metabolism
First Affiliated Hospital of Wenzhou Medical University
2015-2024
Wenzhou Medical University
2015-2024
The metastatic cascade is a complex and multistep process with many potential barriers. Recently, miR-193a has been reported to be suppressive miRNA in multiple types of cancers, but its underlying anti-oncogenic activity non-small cell lung cancers (NSCLC) not fully elucidated. expressions (miR-193a-5p) human cancer tissues lines were detected by real-time PCR. Dual-luciferase reporter assay was used identify the direct target miR-193a. Cell proliferation, apoptosis, metastasis assessed...
Background Circulating tumor DNA (ctDNA) is a promising biomarker for noninvasive epidermal growth factor receptor (EGFR) mutations detection in lung cancer patients, but the existing methods have limitations sensitivity or availability. In this study, we evaluated performance of novel assay called ADx-SuperARMS detecting EGFR plasma cell-free from patients with advanced adenocarcinoma. Methods A total 109 metastatic adenocarcinoma were recruited who provided both blood samples and matched...
Previous studies have shown that there are different methods used to detect the epidermal growth factor receptor (EGFR) mutation status in plasma cell-free DNA (cfDNA) for advanced lung adenocarcinoma patients including ADx-Amplification Refractory Mutation System (ADx-ARMS). We explored performance of ADx-ARMS detecting EGFR mutations cfDNA.This prospective cohort study enrolled who presented with (stage IIIb/IV) adenocarcinoma. cfDNA and tumor tissues by were detected. Next-generation...
In this work, we constructed diabetes predictive models using electronic health record data, which could potentially have better preventive power than other known according to our knowledge. Diabetes is one of the most common, costly and complicated diseases all over world, including China. To tackle complexity diabetes, has been widely used support physicians in integrated care. However, may lack when clinical measurements directly related diagnosis criteria are used. overcome limitation,...