A5019732433- Radiomics and Machine Learning in Medical Imaging
- Hepatocellular Carcinoma Treatment and Prognosis
- Pancreatic and Hepatic Oncology Research
- Prostate Cancer Diagnosis and Treatment
- Prostate Cancer Treatment and Research
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Liver Disease Diagnosis and Treatment
- Cancer-related molecular mechanisms research
- RNA modifications and cancer
- MicroRNA in disease regulation
- Endometrial and Cervical Cancer Treatments
- Circular RNAs in diseases
- Bone and Joint Diseases
- Ferroptosis and cancer prognosis
- Ovarian cancer diagnosis and treatment
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Spine and Intervertebral Disc Pathology
- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Nitrogen and Sulfur Effects on Brassica
- melanin and skin pigmentation
- Medical Imaging and Analysis
- Chronic Lymphocytic Leukemia Research
- Quinazolinone synthesis and applications
- Spondyloarthritis Studies and Treatments
Wenzhou Medical University
2021-2025
First Affiliated Hospital of Wenzhou Medical University
2021-2025
Soochow University
2024
The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital)
2024
First Affiliated Hospital of Wannan Medical College
2024
Genome Institute of Singapore
2011-2024
Jiaxing University
2023-2024
Agency for Science, Technology and Research
2024
Jinan University
2023
Abstract Purpose: We aimed to construct machine learning (ML) radiomics models predict response lenvatinib monotherapy for unresectable hepatocellular carcinoma (HCC). Experimental Design: Patients with HCC receiving at three institutions were retrospectively identified and assigned training external validation cohorts. Tumor after initiation of was evaluated. Radiomics features extracted from contrast-enhanced CT images. The K-means clustering algorithm used distinguish radiomics-based...
Circular RNAs (circRNAs) have been implicated in the development and progression of gastric cancer (GC). However, it remains unclear whether dysregulated circRNA affects immune escape efficacy immunotherapy GC. Our aim is to investigate molecular mechanism affecting GC identify effective therapeutic targets.
Cisplatin-based chemotherapy is one of the fundamental therapeutic modalities for gastric cancer (GC). Chemoresistance to cisplatin a great clinical challenge, and its underlying mechanisms remain poorly understood. Circular RNAs (circRNAs) are involved in pathophysiology multiple human malignancies.
Primary liver cancer is the sixth most common and third leading cause of cancer-related death worldwide. The role 'Other' subfamily HECT E3 ligases (E3s) in hepatocellular carcinoma (HCC) remains unknown. expression E3s was performed using Cancer Genome Atlas (TCGA) data, authors found that were differentially expressed HCC. Prognostic values assessed Kaplan-Meier method indicated high expressions HECTD2, HECTD3, HACE1 associated with a worse clinical prognosis HCC patients. HECTD2...
Background: Persistent prostate-specific antigen (PSA) after radical prostatectomy (RP) is associated with increased metastasis and mortality. However, the value of radiomics for predicting persistent PSA unclear. Our study aimed to evaluate diagnostic performance 18F-PSMA-1007 positron emission tomography (PET) multiparametric magnetic resonance imaging (mpMRI) prediction RP. Methods: Retrospective analysis was performed on 141 patients prostate cancer (PCa) who had undergone...
Ovarian cancer is one of the most common causes death in gynecological tumors, and its type epithelial ovarian (EOC). This study aimed to establish a radiomics signature based on ultrasound images predict histopathological types EOC.Overall, 265 patients with EOC who underwent preoperative ultrasonography surgery were eligible. They randomly sorted into two cohorts (training cohort: test cohort = 7:3). We outlined region interest tumor lesion. Then, features extracted. Clinical, Rad-score...
Cholangiocarcinoma (CCA) is a fatal cancer of the bile duct with poor prognosis owing to limited therapeutic options. The incidence intrahepatic CCA (iCCA) increasing worldwide, and its molecular basis emerging. Environmental factors may contribute regional differences in mutation spectrum European patients iCCA, which are underrepresented systematic genomic transcriptomic studies disease.
To investigate the prognostic role of radiomic features based on pretreatment MRI in predicting progression-free survival (PFS) locally advanced cervical cancer (LACC).All 181 women with histologically confirmed LACC were randomly divided into training cohort (n = 126) and validation 55). For each patient, we extracted from whole tumors sagittal T2WI axial DWI. The least absolute shrinkage selection operator (LASSO) algorithm combined Cox analysis was applied to select construct a score...
<title>Abstract</title> <bold>Objective:</bold>This study aims to analyze the adverse event (ADE)related use of growth hormone drugs in children through mining FDA Adverse Event Reporting System (FAERS) database, and provide references for clinical medication safety. <bold>Methods: </bold>Data on under 18 years agefrom FAERS covering first quarter 2004 2024, were extracted via OpenVigil 2.1 tool. The reporting odds ratio (ROR) was employed signals related hormones. <bold>Results: </bold>A...
The management of university libraries is becoming more and dependent on digital change. This report uses data analysis techniques to examine how college make decisions about transformation. paper first examines revolution affects library management, including topics such as increasing service scope, streamlining resource allocation, enhancing efficiency. Second, real-world examples collection, cleansing, analysis, visualisation are used illustrate applied in Subsequently, an index system...
The underlying regulating mechanisms of miR-105-5p/PTEN in colon cancer (CC) progression are still unknown. MiR-105-5p and PTEN expressions were determined using RT-PCR. protein levels examined by western blot. Also, the contents inflammatory cytokines (IL-1β, TNF-α, IL-6) measured via ELISA. An inflammation model was constructed LPS. NF-κB p65 expression assessed immunofluorescence assay. A xenograft tumor BALB/c nude mice. functions miR-105-5p investigated establishing a model, H&E...
Colon cancer is a frequently developed malignancy from the digestive system that leads to poor prognosis of patients due its high recurrence and metastasis. Dysregulation ubiquitin-mediated signaling can result in tumor formation We aimed develop prognostic markers related ubiquitination colon risk assessment model based on these improve patients.We constructed prognosis-related by performing differential expression analysis ubiquitin-related genes public data then undertaking Cox analysis,...
Photoreceptor degenerative diseases are characterized by the progressive death of photoreceptor cells, resulting in irreversible visual impairment. However, role competing endogenous RNA (ceRNA) degeneration is unclear. We aimed to explore shared ceRNA regulation network and potential molecular mechanisms between primary secondary degenerations.We established animal models for both types degenerations conducted retina sequencing identify differentially expressed long non-coding RNAs...
This study was purposed to investigate the feasibility of high resolution melting (HRM) in detection JAK2V617F mutation patients with myeloproliferative neoplasm (MPN). The 29 marrow samples randomly selected from clinically diagnosed MPN January 2008 2011 were detected by HRM method. results analysis compared that allele specific polymerase chain reaction (AS-PCR) and DNA direct sequencing. showed mutations 11 (37.9%, 11/29) cases HRM, its comparability sequencing result 100%. While...
<div>AbstractPurpose:<p>We aimed to construct machine learning (ML) radiomics models predict response lenvatinib monotherapy for unresectable hepatocellular carcinoma (HCC).</p>Experimental Design:<p>Patients with HCC receiving at three institutions were retrospectively identified and assigned training external validation cohorts. Tumor after initiation of was evaluated. Radiomics features extracted from contrast-enhanced CT images. The K-means clustering algorithm...