idw – Informationsdienst Wissenschaft

Nachrichten, Termine, Experten

Grafik: idw-Logo
Science Video Project
idw-Abo

idw-News App:

AppStore

Google Play Store



Instanz:
Teilen: 
20.08.2020 10:15

Earlier diagnosis of endocrine pancreatic tumors: ERA-NET project NExT on translational research on cancer

Dipl.-Phys. Annette Maurer-von der Gathen Presse und Öffentlichkeitsarbeit
Fraunhofer-Institut für Biomedizinische Technik IBMT

    Since autumn 2019, the Fraunhofer Institute for Biomedical Engineering IBMT coordinates the BMBF-funded ERA-NET project "NExT" that aims to detect endocrine pancreatic tumors at an earlier stage and to improve therapies in cooperation with international research partners. The consortium is setting up a tissue bank, developing patient-specific cell models and identifying corresponding biomarkers with the aid of a microfluidic chip system.

    Pancreatic neuroendocrine tumors (PNETs) are rare tumors of the pancreas and the mortality rate for this cancer is very high. The disease has a heterogeneous appearance and the molecular understanding of tumor biology is limited. Although various chemotherapeutic approaches exist, molecular markers are still lacking to detect the disease at an early stage and to choose individual therapeutic approaches. In order to improve the individual response to certain therapies, new marker signatures must be identified. To evaluate these using in vitro and in vivo models of PNETs, extensive molecular data sets must be collected from patient cohorts.

    "NExT" project: Identification of specific biomarkers for the early diagnosis of pancreatic tumors

    Since September 2019, the Fraunhofer Institute for Biomedical Engineering IBMT coordinates the ERA-NET project "NExT" to establish an algorithm for the early detection and follow-up care of patients with neuroendocrine tumors of the pancreas. The focus is on the development of new methods and technologies for the characterization of endocrine pancreatic tumors. "NExT" aims to solve clinically relevant problems in the field of translational research with regard to PNETs.

    For this purpose, a tissue bank of genetically characterized PNETs will be established and patient-specific three-dimensional in vitro models (xenografts and organoids) will be developed. With their help, the researchers identify urgently needed pancreatic tumor-specific biomarkers that are responsible for the development of rare tumors.

    Circulating tumor cells are considered attractive biomarkers for liquid biopsy as they represent an early step in blood-borne metastasis. The partners of the joint project are developing an innovative microfluidic system for positioning and automatic characterization of circulating tumor cells for the improved minimally-invasive early detection of this type of tumor and for the follow-up care of patients.

    Rapid, specific and sensitive detection and characterization of PNETs could increase the chance of surgical intervention and thus improve the survival rate of affected patients.

    Interdisciplinary cooperation of medical scientists, cell biologists and engineers

    The Fraunhofer IBMT is contributing to this project its long-term expertise in building chip-based systems for positioning, enriching, cultivating and characterizing cells under fluidic conditions.Within the project, the Fraunhofer IBMT is developing a microfluidic chip system with a special microhole structure for cell sorting and characterization.

    The molecular, genomic and transcriptomic characterization of PNET tissue and serum samples as well as PNET tumor organoids will provide specific related biomarkers for the development of the chip-based microfluidic system.

    Project Funding: BMBF, No. 01KT1910

    Funding period: 09/2019-08/2022

    Project partners:
    Fraunhofer Institute for Biomedical Engineering IBMT, Sulzbach, Germany
    Fundación para la Investigación Biomédica del Hospital Universitario Ramón y Cajal (FIBIOHRC), Madrid, Spain
    Biomedical Research Center of the Slovak Academy of Sciences, Cancer Research Institute, Bratislava, Slovakia
    Latvian Biomedical Research and Study Centre, Human Genetics and Molecular Medicine, Riga, Latvia
    National and Kapodistrian University of Athens, 1st Department of Propaedeutic Surgery, Athen, Greece
    Bioquochem Company, Llanera Spain


    Wissenschaftliche Ansprechpartner:

    Dr. Yvonne Kohl (Project Coordinator)
    Working Group Nanotoxicology
    Fraunhofer IBMT
    Phone: +49 6897 9071 256
    e-mail: yvonne.kohl@ibmt.fraunhofer.de


    Weitere Informationen:

    https://www.next-project.eu/
    http://www.ibmt.fraunhofer.de


    Bilder

    The Fraunhofer Institute for Biomedical Engineering IBMT is coordinating the ERA-NET project "NExT" in order to identify endocrine pancreatic tumors earlier and improve therapies in cooperation with international research partners.
    The Fraunhofer Institute for Biomedical Engineering IBMT is coordinating the ERA-NET project "NExT" ...


    Merkmale dieser Pressemitteilung:
    Journalisten, Wirtschaftsvertreter, Wissenschaftler
    Biologie, Ernährung / Gesundheit / Pflege, Gesellschaft, Informationstechnik, Medizin
    überregional
    Forschungsprojekte, Kooperationen
    Englisch


     

    The Fraunhofer Institute for Biomedical Engineering IBMT is coordinating the ERA-NET project "NExT" in order to identify endocrine pancreatic tumors earlier and improve therapies in cooperation with international research partners.


    Zum Download

    x

    Hilfe

    Die Suche / Erweiterte Suche im idw-Archiv
    Verknüpfungen

    Sie können Suchbegriffe mit und, oder und / oder nicht verknüpfen, z. B. Philo nicht logie.

    Klammern

    Verknüpfungen können Sie mit Klammern voneinander trennen, z. B. (Philo nicht logie) oder (Psycho und logie).

    Wortgruppen

    Zusammenhängende Worte werden als Wortgruppe gesucht, wenn Sie sie in Anführungsstriche setzen, z. B. „Bundesrepublik Deutschland“.

    Auswahlkriterien

    Die Erweiterte Suche können Sie auch nutzen, ohne Suchbegriffe einzugeben. Sie orientiert sich dann an den Kriterien, die Sie ausgewählt haben (z. B. nach dem Land oder dem Sachgebiet).

    Haben Sie in einer Kategorie kein Kriterium ausgewählt, wird die gesamte Kategorie durchsucht (z.B. alle Sachgebiete oder alle Länder).