Exploring the Application of 3D Bioprinting for Personalized Treatment in Pancreatic Ductal Adenocarcinoma
1 other identifier
observational
30
1 country
2
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Dec 2022
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
December 1, 2022
CompletedFirst Submitted
Initial submission to the registry
July 4, 2023
CompletedFirst Posted
Study publicly available on registry
July 21, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 30, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
September 30, 2024
CompletedJuly 21, 2023
July 1, 2023
1.6 years
July 4, 2023
July 12, 2023
Conditions
Outcome Measures
Primary Outcomes (1)
Correlation of Drug Sensitivity in In Vitro Tumor Models with Clinical Response in Patients
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.
From enrollment to end within 2 weeks
Secondary Outcomes (1)
Progression-free survival time (PFS)
Up to 2 years.
Eligibility Criteria
The patients with clinically and pathologically confirmed pancreatic ductal adenocarcinoma are considered potential candidates for this study. Clinical physicians will comprehensively document the medical history, including only patients above 18 years of age. Individuals with other malignant tumors or severe diseases will be excluded. Patients who are unable to provide independent informed consent will not be included in this study. All patients in this study will undergo adjuvant/neoadjuvant chemotherapy and surgical resection for the treatment of localized pancreatic ductal adenocarcinoma.
You may qualify if:
- More than 18 years old
- Diagnosed as colorectal cancer with or without liver metastases before
- Pathologically proven colorectal cancer after surgery
You may not qualify if:
- History of other malignancies or serious medical conditions
- Inability to provide independent informed consent
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (2)
China-Japan Friendship Hospital
Beijing, Beijing Municipality, 100029, China
Peking Union Medical College Hospital
Beijing, Beijing Municipality, 100730, China
Related Publications (5)
Boj SF, Hwang CI, Baker LA, Chio II, Engle DD, Corbo V, Jager M, Ponz-Sarvise M, Tiriac H, Spector MS, Gracanin A, Oni T, Yu KH, van Boxtel R, Huch M, Rivera KD, Wilson JP, Feigin ME, Ohlund D, Handly-Santana A, Ardito-Abraham CM, Ludwig M, Elyada E, Alagesan B, Biffi G, Yordanov GN, Delcuze B, Creighton B, Wright K, Park Y, Morsink FH, Molenaar IQ, Borel Rinkes IH, Cuppen E, Hao Y, Jin Y, Nijman IJ, Iacobuzio-Donahue C, Leach SD, Pappin DJ, Hammell M, Klimstra DS, Basturk O, Hruban RH, Offerhaus GJ, Vries RG, Clevers H, Tuveson DA. Organoid models of human and mouse ductal pancreatic cancer. Cell. 2015 Jan 15;160(1-2):324-38. doi: 10.1016/j.cell.2014.12.021. Epub 2014 Dec 31.
PMID: 25557080BACKGROUNDGrossman JE, Muthuswamy L, Huang L, Akshinthala D, Perea S, Gonzalez RS, Tsai LL, Cohen J, Bockorny B, Bullock AJ, Schlechter B, Peters MLB, Conahan C, Narasimhan S, Lim C, Davis RB, Besaw R, Sawhney MS, Pleskow D, Berzin TM, Smith M, Kent TS, Callery M, Muthuswamy SK, Hidalgo M. Organoid Sensitivity Correlates with Therapeutic Response in Patients with Pancreatic Cancer. Clin Cancer Res. 2022 Feb 15;28(4):708-718. doi: 10.1158/1078-0432.CCR-20-4116.
PMID: 34789479BACKGROUNDTiriac H, Belleau P, Engle DD, Plenker D, Deschenes A, Somerville TDD, Froeling FEM, Burkhart RA, Denroche RE, Jang GH, Miyabayashi K, Young CM, Patel H, Ma M, LaComb JF, Palmaira RLD, Javed AA, Huynh JC, Johnson M, Arora K, Robine N, Shah M, Sanghvi R, Goetz AB, Lowder CY, Martello L, Driehuis E, LeComte N, Askan G, Iacobuzio-Donahue CA, Clevers H, Wood LD, Hruban RH, Thompson E, Aguirre AJ, Wolpin BM, Sasson A, Kim J, Wu M, Bucobo JC, Allen P, Sejpal DV, Nealon W, Sullivan JD, Winter JM, Gimotty PA, Grem JL, DiMaio DJ, Buscaglia JM, Grandgenett PM, Brody JR, Hollingsworth MA, O'Kane GM, Notta F, Kim E, Crawford JM, Devoe C, Ocean A, Wolfgang CL, Yu KH, Li E, Vakoc CR, Hubert B, Fischer SE, Wilson JM, Moffitt R, Knox J, Krasnitz A, Gallinger S, Tuveson DA. Organoid Profiling Identifies Common Responders to Chemotherapy in Pancreatic Cancer. Cancer Discov. 2018 Sep;8(9):1112-1129. doi: 10.1158/2159-8290.CD-18-0349. Epub 2018 May 31.
PMID: 29853643BACKGROUNDXie 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.
PMID: 33007612RESULTSun 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.
PMID: 32582546RESULT
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 4, 2023
First Posted
July 21, 2023
Study Start
December 1, 2022
Primary Completion
June 30, 2024
Study Completion
September 30, 2024
Last Updated
July 21, 2023
Record last verified: 2023-07
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF, CSR, ANALYTIC CODE
- Time Frame
- The IPD data will available after the study is completed.
- Access Criteria
- Data can be accessed via e-mail with reasonable requests.
Individual participant data (IPD) can be accessed with reasonable requests via e-mail. IPD will be shared after the study is completed.