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Spots Global Cancer Trial Database for 3D Bioprinted Models for Predicting Chemotherapy Response in Colorectal Cancer With/Without Liver Metastases

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Trial Identification

Brief Title: 3D Bioprinted Models for Predicting Chemotherapy Response in Colorectal Cancer With/Without Liver Metastases

Official Title: Validation of the Three-dimensional Bioprinted Tumor Models as a Predictive Method of the Response to Chemotherapy for Colorectal Cancer With or Without Liver Metastases

Study ID: NCT04755907

Study Description

Brief Summary: The therapeutic regimens of adjuvant and neoadjuvant chemotherapy for colorectal cancer (CRC) remain largely relied on clinical experience, and thus preclinical models are needed to guide individualized medicine. The investigators are going to establish 3D bioprinted CRC models and organoids from surgically resected tumor tissues of CRC patients with or without liver metastases. In vitro 3D models and organoids will be treated with the same chemotherapy drugs with the corresponding patients from whom the models are derived. The sensitivity of chemotherapy drugs will be tested in these two types of in vitro models, and the actual response to chemotherapy in patients will be evaluated. The predictive ability of 3D models for chemotherapy sensitivity in CRC patients will be compared with that of the organoids. This observational study will validate the potential value of 3D bioprinted tumor models in predicting the response to chemotherapy in CRC.

Detailed Description:

Eligibility

Minimum Age: 18 Years

Eligible Ages: ADULT, OLDER_ADULT

Sex: ALL

Healthy Volunteers: No

Locations

Cancer Institute and Hospital, Chinese Academy of Medical Sciences, Beijing, Beijing, China

China-Japan Friendship Hospital, Beijing, Beijing, China

Beijing Cancer Hospital, Beijing, Beijing, China

Peking Union Medical College Hospital, Beijing, Beijing, China

Contact Details

Name: Yilei Mao, MD PhD

Affiliation: Peking Union Medical College Hospital

Role: PRINCIPAL_INVESTIGATOR

Useful links and downloads for this trial

Clinicaltrials.gov

Google Search Results

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