Exploring the Application of 3D Bioprinting for Personalized Treatment in Pancreatic Ductal Adenocarcinoma

Pancreatic Ductal Adenocarcinoma Clinical Trial

Official title:

Exploring the Application of 3D Bioprinting Technology in Constructing Preclinical Models of Pancreatic Cancer for Drug Sensitivity Testing and Its Significance in Personalized Treatment

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT05955092
• Other study ID #: PDAC3DP001
• Status: Recruiting
• Start date: December 1, 2022
• Est. completion date: September 30, 2024

Study information

• Verified date: July 2023
• Source: Peking Union Medical College Hospital
• Contact: Yilei Mao
• Phone: 8600-010-69156042
• Email: pumch-liver[@]hotmail.com
• Is FDA regulated: No
• Study type: Observational

Clinical Trial 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.

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 30
• Est. completion date: September 30, 2024
• Est. primary completion date: June 30, 2024
• Accepts healthy volunteers: No
• Gender: All
• Age group: 18 Years and older

Eligibility

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:

• History of other malignancies or serious medical conditions

• Inability to provide independent informed consent

Related Conditions & MeSH terms

• Adenocarcinoma
• Pancreatic Ductal Adenocarcinoma

Locations

Country	Name	City	State
China	China-Japan Friendship Hospital	Beijing	Beijing
China	Peking Union Medical College Hospital	Beijing	Beijing

Sponsors (1)

Lead Sponsor	Collaborator
Peking Union Medical College Hospital

Country where clinical trial is conducted

China, 

References & 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. — View Citation

Grossman 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. — View Citation

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: 1 — View Citation

Tiriac 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. — View Citation

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. Biomate — View Citation

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Correlation of Drug Sensitivity in In Vitro Tumor Models with Clinical Response in Patients	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).; 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	Progression-free survival time (PFS)	The time from the start of postoperative adjuvant therapy to recurrence or death.	Up to 2 years.