A5011332515- Lung Cancer Treatments and Mutations
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Diagnosis and Treatment
- RNA modifications and cancer
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer-related gene regulation
- Traditional Chinese Medicine Analysis
- Epigenetics and DNA Methylation
- Anomaly Detection Techniques and Applications
- Cancer Genomics and Diagnostics
- Face and Expression Recognition
- Radiomics and Machine Learning in Medical Imaging
- Immunotherapy and Immune Responses
- Data Stream Mining Techniques
- Folate and B Vitamins Research
- Topic Modeling
- Peptidase Inhibition and Analysis
- Circular RNAs in diseases
- Bioinformatics and Genomic Networks
- Platelet Disorders and Treatments
- Genetic Associations and Epidemiology
- Gene expression and cancer classification
- Gastric Cancer Management and Outcomes
- Lipid metabolism and disorders
Fujian Provincial Hospital
2016-2025
Fujian Medical University
2016-2025
Fuzhou University
2025
Macau University of Science and Technology
2022-2024
Second Affiliated Hospital of Fujian Medical University
2024
Sichuan University
2024
First Affiliated Hospital of Wannan Medical College
2024
Wenzhou Medical University
2022-2023
Shanghai University of Engineering Science
2020-2023
Shenzhen University
2023
Bacterial infection in skin and soft tissue has emerged as a critical concern. Overreliance on antibiotic therapy led to numerous challenges, including the emergence of multidrug-resistant bacteria adverse drug reactions. It is imperative develop non-antibiotic treatment strategies that not only exhibit potent antibacterial properties but also promote rapid wound healing demonstrate biocompatibility. Herein, novel multimodal synergistic system (SNO-CS@MoS2) was developed. This employs easily...
The present study aimed to uncover the pharmacological function and underlying mechanism of puerarin as a potential treatment for COVID-19, using an in silico methodology, including network pharmacology molecular docking. pivotal targets treat COVID-19 were identified included epidermal growth factor receptor (EGFR), tumour necrosis (TNF), protein p53 (TP53), caspase 3 (CASP3), RELA proto-oncogene (RELA), Fos (FOS), 8 (CASP8), prostaglandin-endoperoxide synthase 2 (PTGS2), interleukin (IL2),...
Oral cancer (OC) is one of the most pernicious cancers with increasing incidence and mortality worldwide. Surgery primary approach for treatment early-stage OC, which reduces quality life patients. Therefore, there an urgent need to discover novel treatments OC. Targeting ferroptosis induce cell death through modulation lipid oxidation has been used as a new treat many cancers. Glutathione (GSH) coenzyme factor GSH peroxidase 4, it carries potential applicability in treating By using network...
Abstract Background Detecting lesions in esophageal cancer (EC) is important guiding subsequent treatment. Deep learning methods based on convolutional neural networks (CNNs) and vision transformer (ViT) have made remarkable strides the field of medical image analysis due to their powerful representational capabilities. However, without prior knowledge, both traditional CNNs ViTs are susceptible disregarding critical anatomical information, including loops voids. The current methods,...
To compare the performance of a deep learning survival network with tumor, node, and metastasis (TNM) staging system in prediction test reliability individual treatment recommendations provided by network.In this population-based cohort study, we developed validated model using consecutive cases newly diagnosed stage I to IV esophageal cancer between January 2004 December 2015 Surveillance, Epidemiology, End Results (SEER) database. The was externally an independent from Fujian Provincial...
Abstract Emerging evidence indicates that circular RNAs (circRNAs) play important roles in disease development, especially cancers. Analysis of circRNA expression microarrays from the Gene Expression Omnibus database revealed circPIBF1 was highly upregulated lung adenocarcinoma (LUAD). The main aim this study to probe function pyroptosis LUAD cells and signal transduction pathways involved. CircPIBF1 significantly overexpressed related dismal prognosis patients with LUAD. could bind nuclear...
Abstract Background Exploring the relationship between disease and gene is of great significance for understanding pathogenesis developing corresponding therapeutic measures. The prediction disease-gene association by computational methods accelerates process. Results Many existing cannot fully utilize multi-dimensional biological entity to predict due multi-source heterogeneous data. This paper proposes FactorHNE, a factor graph-aggregated network embedding method prediction, which captures...
Lung cancer is one of the most common cancers in world. Cylindromatosis (CYLD) a deubiquitination enzyme and contributes to degradation ubiquitin chains on RIP1. The aim present study investigate levels CYLD lung patients explore molecular mechanism pathogenesis. were detected human tissues paired paracarcinoma by real-time PCR western blotting analysis. proliferation cells was determined MTT assay. Cell apoptosis necrosis FACS results demonstrated that low clinical carcinoma specimens....
The delta-shaped anastomosis has been reported to reduce anastomotic complications for a decade. However, little written comparing this technique with the circular stapler technique. objective of retrospective study was assess safety and efficacy cervical after esophagectomy. Medical records patients esophageal squamous cell carcinoma who underwent McKeown (three-incision) esophagectomy between September 2013 June 2015 were reviewed. Either stapled (CSA) or (DSA) performed at stage. clinical...
Lung adenocarcinoma is one of the leading causes cancer-related death worldwide. Low expression Interleukin-33 (IL-33) was reported to be associated with progression pulmonary adenocarcinoma. However, IL-33-mediated immunoregulation in remains unclear. In this study, we found that IL-33 treatment evidently repressed tumour growth, induced CD4+ T cells infiltration and IL-17 Notably, increased number Dendritic Cells (DCs) More importantly, maturation regulated function DCs by increasing...
In this paper, we propose a Reliable Semi-Supervised Learning framework, called ReSSL, for both static and streaming data. Instead of relaxing different assumptions, do model the reliability cluster assumption, quantify distinct importance clusters (or evolving micro-clusters on data streams), integrate cluster-level information labeled prediction with lazy learning framework. Extensive experiments demonstrate that our method has good performance compared to state-of-the-art algorithms sets...
Objectives Human gut microbiome has gained great attention for its proposed roles in the development of hypertension. The fungal human (i.e. mycobiome) is beginning to gain recognition as a fundamental part our microbiome. However, existing knowledge mycobiome never revealed association between and It known that inflammation immunity contribute Here, we sought investigate whether could predict hypertension with immunoglobulin light chains. Methods materials Participants were classified into...
Summary The lack of biomarkers for accurate diagnosis and prognosis is a major clinical challenge primary immune thrombocytopaenia (ITP). Using an Olink proteomics platform with 92 response‐related human protein panel, we analysed plasma samples from ITP patients (ITP, n = 40), secondary to other causes (Non‐ITP, 19) healthy controls (NC, 18), discovery cohort as well validation 36; NC, 20). A total 10 differentially expressed proteins (DEPs) were identified in the group compared non‐ITP NC...
Lung cancer is the most commonly diagnosed and leading cause of cancer-related deaths in China. Rapid precise evaluation tumor tissue during lung surgery can reduce operative time improve negative-margin assessment, thus increasing disease-free overall survival rates. This study aimed to explore potential label-free multiphoton microscopy (MPM) for imaging adenocarcinoma tissues, detecting histopathological features, distinguishing between normal cancerous tissues. We showed that second...