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


2022-12-01


2024-06-30


2024-09-30


30

Study Overview

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

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.

N/A

  • Pancreatic Ductal Adenocarcinoma
    • PDAC3DP001

    Study Record Dates

    These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

    Study Registration Dates Results Reporting Dates Study Record Updates

    2023-07-04  

    N/A  

    2023-07-12  

    2023-07-12  

    N/A  

    2023-07-21  

    2023-07-21  

    N/A  

    2023-07  

    Study Plan

    This section provides details of the study plan, including how the study is designed and what the study is measuring.

    Design Details

    Primary Purpose:
    N/A


    Allocation:
    N/A


    Interventional Model:
    N/A


    Masking:
    N/A


    Arms and Interventions

    Participant Group/ArmIntervention/Treatment
    Primary Outcome MeasuresMeasure DescriptionTime Frame
    Correlation of Drug Sensitivity in In Vitro Tumor Models with Clinical Response in Patients1. 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 Outcome MeasuresMeasure DescriptionTime Frame
    Progression-free survival time (PFS)The time from the start of postoperative adjuvant therapy to recurrence or death.Up to 2 years.

    Contacts and Locations

    This section provides the contact details for those conducting the study, and information on where this study is being conducted.

    Study Contact

    Name: Yilei Mao

    Phone Number: 8600-010-69156042

    Email: pumch-liver@hotmail.com

    Study Contact Backup

    Name: Hang Sun

    Phone Number: 8600-15626041366

    Email: hangsunkcs@163.com

    Participation Criteria

    Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person’s general health condition or prior treatments.

    Ages Eligible for Study:
    ALL

    Sexes Eligible for Study:
    18 Years

    Accepts Healthy Volunteers:

      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

    Collaborators and Investigators

    This is where you will find people and organizations involved with this study.

    Publications

    The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

    General Publications

    • 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.
    • 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.
    • 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.
    • 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.