Exploring the Application of 3D Bioprinting for Personalized Treatment in Pancreatic Ductal Adenocarcinoma
- Conditions
- Pancreatic Ductal Adenocarcinoma
- Registration Number
- NCT05955092
- Lead Sponsor
- Peking Union Medical College Hospital
- Brief Summary
The goal of this observational study is to test the application value of 3D bioprinting technology in personalized treatment of pancreatic cancer.
The main questions it aims to answer are:
* Can 3D bioprinting technology be successfully applied to establish preclinical models of pancreatic cancer?
* Can 3D bioprinted preclinical models of pancreatic cancer be applied to personalized treatment of pancreatic cancer?
Participants will have tumor tissue collected to extract primary tumor cells for the establishment of in vitro preclinical models, which will be used for drug sensitivity testing.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 30
- More than 18 years old
- Diagnosed as colorectal cancer with or without liver metastases before
- Pathologically proven colorectal cancer after surgery
- History of other malignancies or serious medical conditions
- Inability to provide independent informed consent
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Correlation of Drug Sensitivity in In Vitro Tumor Models with Clinical Response in Patients From enrollment to end within 2 weeks 1. Evaluation of the efficacy of neoadjuvant therapy in clinical response using the internationally recognized Response Evaluation Criteria in Solid Tumors (RECIST) 1.1: Stable Disease (SD) and Partial Response (PR) are considered indicators of chemotherapy sensitivity (good response), while Progressive Disease (PD) is considered indicative of chemotherapy resistance (poor response).
2. Drug sensitivity testing results were assessed using standardized IC50 values. The standardized IC50 values were treated as the testing variables, while the clinical response to chemotherapy was designated as the state variable. The ROC curves for both variables were analyzed, and the area under the curve (AUC) was calculated to assess their correlation. To analyze the correlation between the drug testing results and clinical prognosis, linear regression analysis was performed to evaluate the correlation between standardized IC50 values and patients' progression-free survival (PFS) values.
- Secondary Outcome Measures
Name Time Method Progression-free survival time (PFS) Up to 2 years. The time from the start of postoperative adjuvant therapy to recurrence or death.
Trial Locations
- Locations (2)
Peking Union Medical College Hospital
🇨🇳Beijing, Beijing, China
China-Japan Friendship Hospital
🇨🇳Beijing, Beijing, China