Development of New Personalised 3D Preclinical Models of Pancreatic Neuroendocrine Tumours (3DPanNET)

April 28, 2025 updated by: Anna Battistella, IRCCS San Raffaele
The goal of this prospective observational study is to generate new personalised 3D preclinical models of pancreatic neuroendocrine tumors. The models will be exploited for studying the mechanisms underlying disease development and progression, as well as for performing drug testing. For the development of the newly proposed models, patients' surgical specimens will be evaluated by the Pathological Unit. If the presence of pathological material in excess, not required for the routine diagnostic procedure, is confirmed, such material will be employed for the generation of the proposed personalised models.

Study Overview

Status

Recruiting

Detailed Description

Pancreatic neuroendocrine tumors (PanNETs) are characterized by highly heterogeneous biological behavior. Another distinctive feature of these neoplasms is the presence of a dense vascular network, reminiscent of their physiological counterpart. Indeed, the tumor microenvironment plays a critical role in these neoplasms and influence their therapeutic management. Although they are typically indolent in nature, approximately 40% of PanNET patients are metastatic at diagnosis, requiring non-surgical treatments such as somatostatin therapy, chemotherapy, targeted therapy, and peptide receptor radionuclide therapy (PRRT). Furthermore, 1 out of 5 patients experience disease recurrence after surgical resection, necessitating pharmacological therapies. Currently, no specific recommendations exist on the most effective therapeutic sequence to follow in presence of metastatic disease/disease relapse. One of the main reasons behind this unmet clinical need is the scarcity of available preclinical models of these neoplasms able to accurately reproduce the biology and physiology of the primary tumor and that can be used as valid platforms for drug testing.

The study aims to generate a new 3D in vitro model of PanNET, replicating the complex primary tumor in vitro, including also the tumor microenvironment (e.g., vascular network and stroma, essential elements of these neoplasms), personalised for each patient. Indeed, for the development of the newly proposed models, patients' surgical specimens will be initially evaluated by the Pathological Unit and, in the presence of pathological material in excess not required for the routine diagnostic procedure, it will be employed for the generation of the proposed personalised models. 3D culture techniques (e.g., 3D bioprinting) will be used for the development of the models. Moreover, in order to further mimic in vitro the in vivo environment, the models will be maintained under dynamic conditions.

These newly proposed models will be exploited for studying the mechanisms underlying disease development and progression, as well as for performing drug testing.

Study Type

Observational

Enrollment (Estimated)

70

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

Study Contact Backup

Study Locations

    • MI
      • Milan, MI, Italy, 20132
        • Recruiting
        • IRCCS San Raffele Institute
        • Contact:
        • Contact:

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.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

A total number of approximately 70 patients will be enrolled

Description

Inclusion criteria:

  • patients who undergo pancreatic surgical resection for non-functioning pancreatic neuroendocrine tumor
  • age ≥ 18 years
  • informed consent

Exclusion criteria:

  • non-pancreatic neuroendocrine tumor histological diagnosis
  • age < 18 years

Study Plan

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

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Development of New Personalised 3D Preclinical Models of Pancreatic Neuroendocrine Tumours
Time Frame: from the day of surgery until 3 years from surgery
Generation of new 3D preclinical models of pancreatic neuroendocrine tumors for the study of the disease biology and for the assessment of drug response
from the day of surgery until 3 years from surgery

Collaborators and Investigators

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

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 Major Dates

Study Start (Actual)

January 16, 2024

Primary Completion (Estimated)

November 1, 2029

Study Completion (Estimated)

December 1, 2029

Study Registration Dates

First Submitted

October 26, 2023

First Submitted That Met QC Criteria

November 2, 2023

First Posted (Actual)

November 8, 2023

Study Record Updates

Last Update Posted (Actual)

May 1, 2025

Last Update Submitted That Met QC Criteria

April 28, 2025

Last Verified

April 1, 2025

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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