A5008842730- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
- Pancreatic and Hepatic Oncology Research
- Esophageal Cancer Research and Treatment
- interferon and immune responses
- Cancer Immunotherapy and Biomarkers
- Chromatin Remodeling and Cancer
- Genomics, phytochemicals, and oxidative stress
- AI in cancer detection
- Cancer Genomics and Diagnostics
- Cancer Cells and Metastasis
- Cancer Mechanisms and Therapy
Fudan University
2017-2023
Shanghai Xuhui Central Hospital
2023
Zhongshan Hospital
2017-2022
The First Affiliated Hospital, Sun Yat-sen University
2019
Sun Yat-sen University
2019
Cisplatin resistance remains a major clinical obstacle to the successful treatment of non-small cell lung cancer (NSCLC). Scribble contributes ROS-induced inflammation and cisplatin-elevated toxic reactive oxygen species (ROS) promotes death. However, it is unknown whether how involved in cisplatin-related death underlying mechanism response chemotherapies process oxidative stress NSCLC.We used two independent cohorts NSCLC samples derived from patients treated with platinum-containing...
Genomic profiling using plasma cell-free DNA (cfDNA) represents a non-invasive alternative to tumor re-biopsy, which is challenging in clinical practice. The feasibility of dynamically monitoring epidermal growth factor receptor (EGFR) mutation status serial samples from non-small cell lung cancer (NSCLC) patients treated by tyrosine kinase inhibitors (TKIs) and its application tracking response detection resistance were investigated.Forty-five NSCLC with EGFR mutation-positive pre-TKI at...
Somatic mutations of the chromatin remodeling gene ARID2 are observed in ∼7% human lung adenocarcinomas (LUADs). However, role pathogenesis LUADs remains largely unknown. Here we find that expression is decreased during malignant progression both and mice LUADs. Using two KrasG12D -based genetically engineered murine models, demonstrate knockout significantly promotes cancer shortens overall survival. Consistently, knockdown cell proliferation cells. Through integrative analyses ChIP-Seq...
Cytological rapid on-site evaluation (ROSE) is becoming an integral technique for improving the performance of bronchoscopic examinations by confirming specimenadequacy and accuracy in real-time. However, time- personnel-consuming nature ROSE limits its application. We constructed artificial intelligence (AI)-based model using deep-learning convolutional neural network (CNN) to assist classifying cytologic whole-slide images (WSIs) as malignant or benign. A total 627 patients with slides...
Esophageal squamous cell carcinoma (ESCC) metastasizes in an unpredictable fashion to adjacent lymph nodes, including those along the recurrent laryngeal nerves (RLNs). This study is apply machine learning (ML) for prediction of RLN node metastasis ESCC.The dataset contained 3352 surgically treated ESCC patients whose nodes were removed and pathologically evaluated. Using their baseline pathological features, ML models established predict on each side with or without status contralateral...
Background: Patients with pathological stage IA lung adenocarcinoma (LUAD) are at risk of relapse. The value the TNM staging system is limited in predicting recurrence. Our study aimed to develop a precise recurrence prediction model for LUAD. Materials and methods: LUAD who received surgical treatment Zhongshan Hospital Fudan University were retrospectively analyzed. Multivariate Cox proportional hazards regression models used create nomograms recurrence-free survival (RFS). predictive...