NET Models Meeting 2024 white paper: the current state of neuroendocrine tumour research models and our future aspirations Article Swipe
Po Hien Ear
,
Ilaria Marinoni
,
Talya L. Dayton
,
Rachael Guenter
,
Dawn E. Quelle
,
Anna Battistella
,
Floryne O. Buishand
,
Suganthi Chittaranjan
,
Yong Du
,
Inês A. Marques
,
Natalia S. Pellegata
,
Samira M. Sadowski
,
Amit Tirosh
,
Simon April-Monn
,
Cinzia Aurilia
,
Renata Jaskula‐Sztul
,
Marı́a N. Moreno Garcı́a
,
Simone Donati
,
Katherine English
,
Maria A. Hernandez Llorens
,
Harry Hodgetts
,
Francesca Marini
,
María Manuela Martins
,
Gaia Palmini
,
Beatriz Soldevilla
,
Jörg Schrader
,
Rajesh V. Thakker
,
Kate E Lines
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1530/eo-24-0055
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1530/eo-24-0055
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.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1530/eo-24-0055
- OA Status
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- Cited By
- 2
- References
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- Related Works
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- OpenAlex ID
- https://openalex.org/W4404498243
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4404498243Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1530/eo-24-0055Digital Object Identifier
- Title
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NET Models Meeting 2024 white paper: the current state of neuroendocrine tumour research models and our future aspirationsWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-01-01Full publication date if available
- Authors
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Po Hien Ear, Ilaria Marinoni, Talya L. Dayton, Rachael Guenter, Dawn E. Quelle, Anna Battistella, Floryne O. Buishand, Suganthi Chittaranjan, Yong Du, Inês A. Marques, Natalia S. Pellegata, Samira M. Sadowski, Amit Tirosh, Simon April-Monn, Cinzia Aurilia, Renata Jaskula‐Sztul, Marı́a N. Moreno Garcı́a, Simone Donati, Katherine English, Maria A. Hernandez Llorens, Harry Hodgetts, Francesca Marini, María Manuela Martins, Gaia Palmini, Beatriz Soldevilla, Jörg Schrader, Rajesh V. Thakker, Kate E LinesList of authors in order
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https://doi.org/10.1530/eo-24-0055Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.1530/eo-24-0055Direct OA link when available
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Library science, Operations research, Political science, Computer science, EngineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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91Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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