A5083482544- Gastric Cancer Management and Outcomes
- Prostate Cancer Treatment and Research
- Melanoma and MAPK Pathways
- Cancer Mechanisms and Therapy
- Colorectal Cancer Treatments and Studies
- Peptidase Inhibition and Analysis
- Molecular Biology Techniques and Applications
- Ferroptosis and cancer prognosis
- PARP inhibition in cancer therapy
- Renal and related cancers
- Artificial Intelligence in Healthcare
- Cancer Immunotherapy and Biomarkers
- Gastrointestinal Tumor Research and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Esophageal Cancer Research and Treatment
- Renal cell carcinoma treatment
Changhai Hospital
2023-2025
Second Military Medical University
2023-2025
Shanghai Changzheng Hospital
2024
Shanghai Jiao Tong University
2024
Shanghai Chest Hospital
2024
Shantou University
2022
Shantou University Medical College
2022
Abstract Background Mutated BRAF is identified in 1%–5% non‐small cell lung cancer (NSCLC) patients, with non‐V600 mutations accounting for 50%–70% of these. The most common mutation G469V/A. Currently, there are no targeted therapies available mutated patients. A recent report provided interesting preclinical evidence revealing sensitivity G469V to epidermal growth factor receptor (EGFR) inhibitors, raising the possibility repurposing anti‐EGFR agents. It therefore worthy characterize...
<title>Abstract</title> Accurate prediction of homologous recombination deficiency (HRD) status is crucial for effective management prostate cancer (PCa). However, genetic testing expensive and inaccessible. We propose a multimodal deep learning approach that integrates clinical information, Hematoxylin & Eosin (H&E)-stained whole-slide images (WSIs), multi-parameter MRI to predict the HRD patients with PCa. Patients from Cancer Genome Atlas (n = 387) three Chinese hospitals 179)...
Introduction Epidermal growth factor receptor 2 ( HER2 ) and programmed cell death ligand 1 (PD-L1) are pivotal therapeutic targets for advanced gastric cancer (GC). Nevertheless, the correlation between them, along with clinical genomic characteristics prognosis differences across distinct molecular subtypes, remains elusive. Methods In this retrospective study, 390 GC patients provided both tumor tissue paired blood samples Next-Generation Sequencing (NGS) of 639 tumor-related genes, PD-L1...
The current study attempted to describe the specific patterns of pathological tumor response and locoregional node metastases from surgically resected esophageal squamous cell carcinoma after neoadjuvant immunochemotherapy (NAIC), as well explore association between clinicopathological characteristics such oncological patterns.
Clear cell renal carcinoma (ccRCC) patients with venous tumor thrombus (VTT) have poor prognosis. We aimed to reveal features of ccRCC VTT and develop a urine-based prognostic classifier predict prognosis through integrative analyses transcriptomic landscape urinary signature.RNA sequencing was performed in five thrombus-tumor-normal tissue triples, while mass spectrometry for urine samples from 12 11 healthy controls. A consisting three proteins developed patients' survival validated an...
<title>Abstract</title> Epidermal growth factor receptor 2 (<italic>HER2</italic>) and programmed cell death ligand 1 (PD-L1) are pivotal therapeutic targets in advanced gastric cancer (GC). Nevertheless, the correlation between them, along with clinical genomic characteristics, prognosis differences across distinct molecular subtypes, remains elusive. In this retrospective study, 390 GC patients provided both tumor tissue paired blood samples for Next-Generation Sequencing (NGS) of 639...
Background: Accurate prediction of homologous recombination deficiency (HRD) status is crucial for effective management prostate cancer (PCa). However, traditional methods to detect HRD based on genetic sequencing are costly and often inaccessible. In this study, we proposed a multi-modal deep learning approach that integrated clinical information, Hematoxylin & Eosin (H&E)-stained whole-slide images (WSIs) multi-parameter MRI predict in PCa patients. Methods: This study included 387...