A5016197836- Cutaneous Melanoma Detection and Management
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Circular RNAs in diseases
- Melanoma and MAPK Pathways
- Optical Coherence Tomography Applications
- Radiomics and Machine Learning in Medical Imaging
- Photodynamic Therapy Research Studies
- Cancer, Lipids, and Metabolism
- Nosocomial Infections in ICU
- Full-Duplex Wireless Communications
- Head and Neck Cancer Studies
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Lipid metabolism and disorders
- Antioxidant Activity and Oxidative Stress
- Renal cell carcinoma treatment
- Salivary Gland Tumors Diagnosis and Treatment
- Thyroid Cancer Diagnosis and Treatment
- Bacteriophages and microbial interactions
- Lipoproteins and Cardiovascular Health
- Global Cancer Incidence and Screening
- Inhalation and Respiratory Drug Delivery
- Immunotherapy and Immune Responses
- Pneumonia and Respiratory Infections
- Cancer Immunotherapy and Biomarkers
First Affiliated Hospital of Jinan University
2021-2025
Institute of Dermatology
2024
Kiang Wu Hospital
2024
Jinan University
2024
University of Jinan
2024
Materials Science & Engineering
2024
City University of Hong Kong
2024
Jinan University
2021
Abstract Objective To explore the postoperative risk factors of Merkel cell carcinoma patients who have undergone surgical resection, and to construct a survival prognosis column chart. Method Patients diagnosed with underwent resection from 2000 2019 were selected surveillance, epidemiology, end results database. COX regression analysis was used screen for independent prognostic factors, chart constructed. The predictive performance evaluated using consistency index, receiver operating...
Objective: The aim of this study was to compare the competing risk model with Cox evaluate prognostic markers in females keratinized squamous cell carcinoma reproductive system and develop predictive models. Methods: Patients keratinizing female were identified from Surveillance, Epidemiology, End Results (SEER) database. Using cumulative incidence function (CIF) Gray's test for univariate analysis, models used multivariate analysis. A nomogram developed based on results model, C-index, net...
Background The survival and prognosis of patients are significantly threatened by cutaneous melanoma (CM), which is a highly aggressive disease. It therefore crucial to determine the most recent rate CM. This study used population-based cancer registry data examine 5-year relative CM in US. Methods Period analysis was assess trends with Surveillance, Epidemiology, End Results (SEER) database during 2004–2018. And based on stratified age, gender, race subtype SEER database, generalized linear...
Background: Ventilator-associated pneumonia (VAP) is the most widespread and life-threatening nosocomial infection in intensive care units (ICUs). The duration of antibiotic use a good predictor prognosis patients with VAP, but ideal therapy for VAP critically ill has not been confirmed. Research therefore needed into optimal its impact on VAP. Methods: Medical Information Mart Intensive Care database included 1,609 Chi-square or Student’s t-tests were used to compare groups, Cox regression...
Abstract Background For the purpose to examine lower limb melanoma (LLM) and its long-term survival rate, we used data from Surveillance, Epidemiology End Results (SEER) database. To estimate prognosis of LLM patients assess efficacy, a powerful deep learning neural network approach called DeepSurv. Methods We gathered on those who had an diagnosis between 2000 2019 SEER divided people into training testing cohorts at 7:3 ratio using random selection technique. likelihood that would survive,...
Background. The objective of this study is to determine the prognostic factors keratinizing squamous cell carcinoma tongue (KTSCC) and establish a nomogram KTSCC assist clinical diagnosis treatment. Methods. This identified 3874 patients with from Surveillance, Epidemiology, End Results (SEER) database, these were randomly divided into training (70%, (n = 2711) validation (30%, n 1163) cohorts. Cox regression was then used filter variables. Nomograms constructed based on meaningful Finally,...
<title>Abstract</title> Background This study acquired data pertaining to individuals diagnosed with Thyroid Cancer (TC) from the Surveillance, Epidemiology, and End Results (SEER) database. Subsequently, a deep learning neural network model known as DeepSurv was employed forecast survival rate of TC patients assess its efficacy. Methods Information on years 2000 2019 collected SEER The in question were subsequently allocated into training testing cohorts through random selection process,...
Background There are few research findings on the survival prognosis of spindle cell melanoma (SCM), which is an unusual kind melanoma. The purpose this study was to develop a thorough nomogram for predicting overall (OS) patients with SCM and assess its validity by comparing it conventional American Joint Committee Cancer (AJCC) staging system. Methods Surveillance, Epidemiology, End Results database searched, 2,015 were selected analysis. randomly divided into training (n = 1,410)...
<title>Abstract</title> Background Currently, an important lipid marker for assessing the risk of chronic inflammation and metabolic disorders is considered to be non-HDL cholesterol HDL ratio (NHHR). This study aimed examine association between NHHR inflammatory biomarker alpha-1 acid glycoprotein (AGP) assess potential as inflammation. Methods cross-sectional analysis used serum samples from adult women participating in National Health Nutrition Examination Survey (NHANES) conducted 2015...
Abstract Background The relationship between the regression and prognosis of melanoma has been debated for years. When competing‐risk events are present, using traditional survival analysis methods may induce bias in identified prognostic factors that affect patients with regressive melanoma. Methods Data on diagnosed were extracted from Surveillance, Epidemiology, End Results (SEER) database during 2000–2019. Cumulative incidence function Gray's test used univariate analysis, Cox...
Abstract Objectives This study was designed to investigate the miRNAs that regulate cell proliferation of condyloma acuminatum (CA) lesions and their targets.Methods The expression Ki-67 in 26 CA patients compared with 10 healthy controls assessed by immunohistochemistry. And different 4 control cases were analyzed bioinformatics. PCR used validate screened miRNA its corresponding target genes.Results abnormally increased ( P <0.05). comparison group revealed 81 differentially expressed...
Abstract Background For the purpose to examine lower limb melanoma (LLM) and its long-term survival rate, we used data from Surveillance, Epidemiology End Results (SEER) database. To estimate prognosis of LLM patients assess efficacy, a powerful deep learning neural network approach called DeepSurv. Methods: We gathered on those who had an diagnosis between 2000 2019 SEER divided people into training testing cohorts at 7:3 ratio using random selection technique. likelihood that would...
This study aimed to explore the underlying mechanism of theacrine treatment UV-induced skin photodamage.Tandem Mass Tag (TMT) relative quantitative proteomics analysis was used characterize proteins and pathways associated with ability combat photodamage in mouse by modeling UV irradiation backs ICR mice.Apoptosis-related signaling play a key role protect against photodamage, according proteomic bioinformatics analysis; molecular docking Western blotting further revealed that...