3D Bioprinted Models for Predicting Chemotherapy Response in Colorectal Cancer With/Without Liver Metastases
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 Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Yilei Mao, MD PhD
- Phone Number: 8600-010-69156042
- Email: pumch-liver@hotmail.com
Study Contact Backup
- Name: Lejia Sun, MD
- Phone Number: 8600-18811152352
- Email: sunlejia361@163.com
Study Locations
-
-
Beijing
-
Beijing, Beijing, China, 100730
- Recruiting
- Peking Union Medical College Hospital
-
Contact:
- Yilei Mao, MD PhD
- Phone Number: 8600-010-69156042
- Email: pumch-liver@hotmail.com
-
Contact:
- Lejia Sun, MD
- Phone Number: 8600-18811152352
- Email: sunlejia361@163.com
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Beijing, Beijing, China, 100143
- Recruiting
- Beijing Cancer Hospital
-
Contact:
- Baocai Xing, MD
- Phone Number: 8600-010-88196098
- Email: xingbaocai88@sina.com
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Beijing, Beijing, China, 100029
- Recruiting
- China-Japan Friendship Hospital
-
Contact:
- Zhiying Yang, MD
- Phone Number: 8600-010-84205017
- Email: yangzhy@aliyun.com
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Beijing, Beijing, China, 100021
- Recruiting
- Cancer Institute and Hospital, Chinese Academy of Medical Sciences
-
Contact:
- Hong Zhao, MD
- Phone Number: 8600-010-87787100
- Email: zhaohong@cicams.ac.cn
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- More than 18 years old
- Diagnosed as colorectal cancer with or without liver metastases before
- Pathologically proven colorectal cancer after surgery
Exclusion Criteria:
- Medical history with other malignancies or serious diseases
- Disable to sign the informed consent independently
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Group A
colorectal cancer patients at resectable stage II/III who will receive adjuvant chemotherapy after surgery
|
Surgical resection will be performed for locoregional lesions or liver metastases.
Regimens of adjuvant chemotherapy are directed by clinical guidance and experience.
|
|
Group B
colorectal cancer patients at locally advanced stage who will receive neoadjuvant chemotherapy before surgery and adjuvant chemotherapy after surgery
|
Surgical resection will be performed for locoregional lesions or liver metastases.
Regimens of adjuvant chemotherapy are directed by clinical guidance and experience.
Regimens of neoadjuvant chemotherapy are directed by clinical guidance and experience.
|
|
Group C
colorectal cancer patients with liver metastases
|
Surgical resection will be performed for locoregional lesions or liver metastases.
Regimens of adjuvant chemotherapy are directed by clinical guidance and experience.
Regimens of neoadjuvant chemotherapy are directed by clinical guidance and experience.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Response of 3D tumor models/organoids to the same chemotherapy drugs as the corresponding patients.
Time Frame: 2021.03-2021.12
|
The investigators will establish and culture 3D colorectal cancer models and organoids.
The 3D models and organoids will be treated with the same chemotherapy drugs as the corresponding patients.
The viability of the 3D tumor models and organoids will be observed after treatment and the IC50 of each drug will be calculated.
The correlation of 3D model/organoid sensitivity and the patient response will be analyzed.
|
2021.03-2021.12
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Response of the colorectal cancer patients to neoadjuvant chemotherapy.
Time Frame: 2021.03-2022.03
|
For patients who receive neoadjuvant chemotherapy before surgery, the response to neoadjuvant chemotherapy will be evaluated according to clinical imaging results and the RECIST scores.
|
2021.03-2022.03
|
Other Outcome Measures
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Response of the colorectal cancer patients to adjuvant chemotherapy.
Time Frame: 2021.03-2023.12
|
The response to adjuvant chemotherapy will be evaluated according to disease free survival (DFS).
Regular follow-ups will be conducted, and DFS is difined as the interval between the date of surgery and the date of last follow-up or recurrence/progression.
|
2021.03-2023.12
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Yilei Mao, MD PhD, Peking Union Medical College Hospital
Publications and helpful links
General Publications
- Bruun J, Kryeziu K, Eide PW, Moosavi SH, Eilertsen IA, Langerud J, Rosok B, Totland MZ, Brunsell TH, Pellinen T, Saarela J, Bergsland CH, Palmer HG, Brudvik KW, Guren T, Dienstmann R, Guren MG, Nesbakken A, Bjornbeth BA, Sveen A, Lothe RA. Patient-Derived Organoids from Multiple Colorectal Cancer Liver Metastases Reveal Moderate Intra-patient Pharmacotranscriptomic Heterogeneity. Clin Cancer Res. 2020 Aug 1;26(15):4107-4119. doi: 10.1158/1078-0432.CCR-19-3637. Epub 2020 Apr 16.
- Wu J, Lu AD, Zhang LP, Zuo YX, Jia YP. [Study of clinical outcome and prognosis in pediatric core binding factor-acute myeloid leukemia]. Zhonghua Xue Ye Xue Za Zhi. 2019 Jan 14;40(1):52-57. doi: 10.3760/cma.j.issn.0253-2727.2019.01.010. Chinese.
- Brancato V, Oliveira JM, Correlo VM, Reis RL, Kundu SC. Could 3D models of cancer enhance drug screening? Biomaterials. 2020 Feb;232:119744. doi: 10.1016/j.biomaterials.2019.119744. Epub 2019 Dec 26.
- Yao Y, Xu X, Yang L, Zhu J, Wan J, Shen L, Xia F, Fu G, Deng Y, Pan M, Guo Q, Gao X, Li Y, Rao X, Zhou Y, Liang L, Wang Y, Zhang J, Zhang H, Li G, Zhang L, Peng J, Cai S, Hu C, Gao J, Clevers H, Zhang Z, Hua G. Patient-Derived Organoids Predict Chemoradiation Responses of Locally Advanced Rectal Cancer. Cell Stem Cell. 2020 Jan 2;26(1):17-26.e6. doi: 10.1016/j.stem.2019.10.010. Epub 2019 Nov 21.
- Xie F, Sun L, Pang Y, Xu G, Jin B, Xu H, Lu X, Xu Y, Du S, Wang Y, Feng S, Sang X, Zhong S, Wang X, Sun W, Zhao H, Zhang H, Yang H, Huang P, Mao Y. Three-dimensional bio-printing of primary human hepatocellular carcinoma for personalized medicine. Biomaterials. 2021 Jan;265:120416. doi: 10.1016/j.biomaterials.2020.120416. Epub 2020 Sep 22.
- Sun L, Yang H, Wang Y, Zhang X, Jin B, Xie F, Jin Y, Pang Y, Zhao H, Lu X, Sang X, Zhang H, Lin F, Sun W, Huang P, Mao Y. Application of a 3D Bioprinted Hepatocellular Carcinoma Cell Model in Antitumor Drug Research. Front Oncol. 2020 Jun 3;10:878. doi: 10.3389/fonc.2020.00878. eCollection 2020.
Study record dates
Study Major Dates
Study Start (ACTUAL)
Study Start
Primary Completion (ANTICIPATED)
Primary Completion
Study Completion (ANTICIPATED)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ACTUAL)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Digestive System Diseases
- Pathologic Processes
- Neoplasms
- Neoplasms by Site
- Gastrointestinal Neoplasms
- Digestive System Neoplasms
- Gastrointestinal Diseases
- Liver Diseases
- Colonic Diseases
- Intestinal Diseases
- Intestinal Neoplasms
- Rectal Diseases
- Neoplastic Processes
- Colorectal Neoplasms
- Neoplasm Metastasis
- Liver Neoplasms
Other Study ID Numbers
Other Study ID Numbers
- CRC-3D-Bioprint
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
- ANALYTIC_CODE
- CSR
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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