• LOGIN
    Login with username and password
Repository logo

BORIS Portal

Bern Open Repository and Information System

  • Publications
  • Projects
  • Research Data
  • Organizations
  • Researchers
  • Theses
  • More
  • Statistics
  • LOGIN
    Login with username and password
Repository logo
Unibern.ch
  1. Home
  2. Publications
  3. 3D Primary Cell Culture: A Novel Preclinical Model For Pancreatic Neuroendocrine Tumors (PanNETs)
 

3D Primary Cell Culture: A Novel Preclinical Model For Pancreatic Neuroendocrine Tumors (PanNETs)

Options
  • Details
  • Files
BORIS DOI
10.7892/boris.143343
Publisher DOI
10.1159/000507669
PubMed ID
32241015
Description
Molecular mechanisms underlying the development and progression of PanNET are still insufficiently understood. Efficacy of currently approved PanNET therapies is limited. While novel treatment options are being developed, patient stratification permitting more personalized treatment selection in PanNET is yet not feasible since no predictive markers are established. The lack of representative in vitro and in vivo models as well as the rarity and heterogeneity of PanNET are prevailing reasons for this. In this study, we describe an in vitro 3D human primary PanNET culture system as a novel preclinical model for more personalized therapy selection. We present a screening platform allowing multi-center sample collection and drug screening in 3D cultures of human primary PanNET cells. We demonstrate that primary cells isolated from PanNET patients and cultured in vitro form islet-like tumoroids. Islet-like tumoroids retain the neuroendocrine phenotype and are viable for at least two weeks in culture with high success rate (86%). Viability can be monitored continuously allowing for a per-well normalization. In a proof-of-concept study, islet-like tumoroids were screened with three clinically approved therapies for PanNET: Sunitinib, everolimus and temozolomide. Islet-like tumoroids display varying in vitro response profiles to distinct therapeutic regimes. Treatment response of islet-like tumoroids (IC50) differs also between patient samples. We believe that the presented human PanNET screening platform is suitable for personalized drug testing in a larger patient cohort and a broader application will help in identifying novel markers predicting treatment response and in refining PanNET therapy.
Date of Publication
2021
Publication Type
Article
Subject(s)
500 - Science::570 - Life sciences; biology
600 - Technology::610 - Medicine & health
Keyword(s)
Pancreatic neuroendocrine tumor
•
PanNET
•
NET
•
3D culture
•
preclinical model
•
primary cells
•
drug screening
•
islet-like tumoroids
•
spheroids
•
organoids
Language(s)
en
Contributor(s)
April-Monn, Simonorcid-logo
Institut für Pathologie, Endokrine Pathologie
Wiedmer, Tabea
Skowronska, Magdalena
Institut für Pathologie
Maire, Renaud Sylvain
Institut für Pathologie, Endokrine Pathologie
Schiavo Lena, Marco
Trippel, Mafalda Arasceli
Institut für Pathologie
Di Domenico, Annunziataorcid-logo
Institut für Pathologie, Endokrine Pathologie
Muffatti, Francesca
Andreasi, Valentina
Capurso, Gabriele
Doglioni, Claudio
Kim-Fuchs, Corina
Universitätsklinik für Viszerale Chirurgie und Medizin, Viszeral- und Transplantationschirurgie
Gloor, Beat
Universitätsklinik für Viszerale Chirurgie und Medizin, Viszeral- und Transplantationschirurgie
Zatelli, Maria Chiara
Partelli, Stefano
Falconi, Massimo
Perren, Aurelorcid-logo
Institut für Pathologie
Marinoni, Ilaria
Institut für Pathologie
Additional Credits
Institut für Pathologie
Institut für Pathologie, Endokrine Pathologie
Universitätsklinik für Viszerale Chirurgie und Medizin, Viszeral- und Transplantationschirurgie
Series
Neuroendocrinology
Publisher
Karger
ISSN
0028-3835
Access(Rights)
open.access
Show full item
BORIS Portal
Bern Open Repository and Information System
Build: 7bc660 [30.01. 11:07]
Explore
  • Projects
  • Funding
  • Publications
  • Research Data
  • Organizations
  • Researchers
  • Audiovisual Material
  • Software & other digital items
More
  • About BORIS Portal
  • Send Feedback
  • Cookie settings
  • Service Policy
Follow us on
  • Mastodon
  • YouTube
  • LinkedIn
UniBe logo