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NET Models Meeting 2024 white paper: the current state of neuroendocrine tumour research models and our future aspirations

Abstract:

Current models for the study of neuroendocrine tumours (NETs) are severely limited. While in vitro (e.g. cell lines), ex vivo (e.g. organoids) and in vivo (e.g. mice) models all exist, each has limitations. To address these limitations and collectively identify strategies to move the NET models field forward, we held an inaugural NET models meeting, hosted by our founding group: Dr Lines (Oxford), Prof. Quelle (Iowa), Dr Dayton (Barcelona), Dr Ear (Iowa), Dr Marinoni (Bern) and Dr Guenter (Alabama). This two-day meeting in Oxford (UK) was organised and supported by Bioscientifica Ltd and was solely dedicated to the discussion of NET models. The meeting was attended by ∼30 international researchers (from the UK, EU, Israel, USA and Canada). Plenary talks were given by Prof. Thakker, who summarised NET research over the past few decades, and Dr Schrader, who described the process and pitfalls of generating new cell lines. Eight researchers also presented their work on topics ranging from human cell 3D bioprinting to zebrafish models and included novel ideas and improvements on current concepts. This was followed by an interactive workshop, where discussion topics included a summary of currently available NET models, limitations of these models, barriers to developing new models, and how we can address these issues going forward. This white paper summarises the key points raised in these discussions and the future aspirations of the NET Models Consortium. The next meeting will take place in Oxford (UK) in 2025; contact [email protected] for more information.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1530/eo-24-0055

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Role:
Author
ORCID:
0000-0003-0823-9166
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Role:
Author
ORCID:
0000-0002-1024-7037


Publisher:
Bioscientifica
Journal:
Endocrine Oncology More from this journal
Volume:
4
Issue:
1
Article number:
e240055
Place of publication:
England
Publication date:
2024-12-19
Acceptance date:
2024-11-19
DOI:
EISSN:
2634-4793
Pmid:
39822778


Language:
English
Keywords:
Subtype:
Review
Pubs id:
2071146
Local pid:
pubs:2071146
Deposit date:
2025-04-24
ARK identifier:

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