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    Home > Biochemistry News > Biotechnology News > 3D tumor model is expected to achieve precise treatment of pancreatic cancer

    3D tumor model is expected to achieve precise treatment of pancreatic cancer

    • Last Update: 2021-09-28
    • Source: Internet
    • Author: User
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    An international research team has recently developed a new three-dimensional (3D) pancreatic cancer tumor model in the laboratory


    Researchers from the University of Nottingham, Queen Mary University of London, Monash University and Shanghai Jiaotong University created a multicellular 3D microenvironment and published the results in the journal Nature Communications


    Dr.


    It is well known that pancreatic cancer is difficult to treat, especially before the cancer has spread, and the patient may not have any signs or symptoms


    Therefore, it is believed that it is necessary to improve the 3D cancer model in order to study the tumor growth and progression of patients and test the response to new therapies


    Preclinical trials mainly rely on the combination of laboratory-cultured 2D cells and animal models to predict treatment response


    In people's opinion, there is an urgent need for new experimental 3D cancer models to better reconstruct the human tumor microenvironment and incorporate patient-specific differences


    Self-assembly is a process by which a biological system can controllably assemble multiple molecules and cells into functional tissues


    Professor Alvaro Mata from Queen Mary University of London said: “In the development of cancer therapies, the use of human cancer models is more and more common, but a major obstacle to its clinical application is turnaround time


    She believes that these models exhibit patient-specific transcription profiles, cancer stem cell functions, and strong tumorigenicity; in general, they provide more relevant scenarios than organoids and spheroid cultures


    "We believe that this model is closer to the vision of incorporating the patient’s tumor cells into our model in the hospital, and then finding the best combination therapy for a specific cancer and applying it to the patient — all in Completed in a short time


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    Osuna de la Peña, D.


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