Guangzhou Medical University Cancer Hospital

Interpretable CT-Based Radiomics for Prediction of High-Affinity Neoantigens Associated Immunogenic States in Advanced Hepatocellular Carcinoma Treated with TACE Plus Targeted Therapy and Immunotherapy

Objectives: To develop and validate a CT radiomics-based machine learning model for the noninvasive prediction of HANS status in advanced HCC and to investigate the prognostic and genomic characteristics associated with HANS status. Materials and Methods: This retrospective study...

Tumor specific cytokine pattern explored in renal cell carcinoma

Renal cell carcinoma (RCC) is a common urological malignancy, yet the cytokine landscape of the tumor microenvironment, especially in early-stage tumors, remains poorly defined. Using antibody arrays, 174 tumor-related cytokines were measured in 20 sets of normal, para-cancerous,...

Development of a urine-based DNA methylation assay for early endometrial cancer detection: a multicenter diagnostic study

Endometrial cancer (EC) incidence is rising globally, yet diagnosis still depends on invasive procedures, which limit accessibility and delay early detection. A noninvasive, accurate, and accessible diagnostic assay is urgently needed to enable early EC detection. In this multice...

Longitudinal MRI-based Delta-Habitat model for predicting pathological complete response to neoadjuvant chemoimmunotherapy in head and neck squamous cell carcinoma

To develop and validate a machine learning model integrating habitat imaging features before and after neoadjuvant chemoimmunotherapy (NACI) to predict pathological complete response (pCR) to NACI in head and neck squamous cell carcinoma (HNSCC). A multicenter retrospective study...