Dynamic Prediction Model for Patients with Unresectable Biliary Malignancies Receiving Systemic Chemotherapy Combined with Immunotherapy: a Multicenter, Observational Study
Dynamic Prediction Model for Patients with Unresectable Biliary Malignancies Receiving Systemic Chemotherapy Combined with Immunotherapy: a Multicenter, Observational Study
This study focused on the longitudinal tumor burden profile (tumor macro features, histopathological types and imaging features, etc.), liver function, health status, tumor biomarkers, and serological indicators of patients with unresectable biliary malignancies before chemotherapy combined with immunotherapy to build a dynamic prediction model. Based on this model, risk stratification of BTC patients was realized to explore which specific populations could safely initiate combination therapy. By constructing a risk stratification model, it can help clinicians to screen the best treatment population and provide a basis for safe treatment of high-risk patients.
Inclusion Criteria:
1. Confirmed by histopathological diagnosis and/or clinical diagnosis (typical imaging features, clinical manifestations, laboratory examination, etc.) as biliary malignancy (Chinese Society of Clinical Oncology (CSCO) Guidelines for Diagnosis and Treatment of Biliary malignancy (2024)); 2. Based on unresectable malignant tumor in the diagnosis of biliary and in patients undergoing chemotherapy with immunosuppressant therapy system; 3. The liver function class for Child - Pugh, A or B; 4. More than 18 years of age, gender not limited; 5. Expected survival time for 3 months or more; 6. ECOG PS score 2 or less; 7. Meet the following laboratory test parameters:
Exclusion Criteria:
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