Evidence map›Paper›PMID 35909511›Full record

ArticleFrontiers in endocrinology2022

Human Immunocompetent Model of Neuroendocrine Liver Metastases Recapitulates Patient-Specific Tumour Microenvironment.

Ewald Jan Doornebal, Nicola Harris, Antonio Riva, Ravi Jagatia, Michail Pizanias, Andreas Prachalias, Krishna Menon, Melissa Preziosi, Ane Zamalloa, Rosa Miquel and 8 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 6 institutions in 1 country.

Ewald Jan DoornebalFoundation for Liver Research, The Roger Williams Institute of Hepatology, London, United Kingdom.
Nicola HarrisFoundation for Liver Research, The Roger Williams Institute of Hepatology, London, United Kingdom.
Antonio RivaFoundation for Liver Research, The Roger Williams Institute of Hepatology, London, United Kingdom.
Ravi JagatiaFoundation for Liver Research, The Roger Williams Institute of Hepatology, London, United Kingdom.
Michail PizaniasInstitute of Liver Studies, King's College Hospital and King's College London, London, United Kingdom.
Andreas PrachaliasInstitute of Liver Studies, King's College Hospital and King's College London, London, United Kingdom.
Krishna MenonInstitute of Liver Studies, King's College Hospital and King's College London, London, United Kingdom.
Melissa PreziosiInstitute of Liver Studies, King's College Hospital and King's College London, London, United Kingdom.
Ane ZamalloaInstitute of Liver Studies, King's College Hospital and King's College London, London, United Kingdom.
Rosa MiquelLiver Histopathology Laboratory, Institute of Liver Studies, King's College Hospital, London, United Kingdom.
Yoh ZenLiver Histopathology Laboratory, Institute of Liver Studies, King's College Hospital, London, United Kingdom.
Michael Robert OrfordGreat Ormond Street Institute of Child Health, University College London, London, United Kingdom.
Simon EatonGreat Ormond Street Institute of Child Health, University College London, London, United Kingdom.
Nigel HeatonInstitute of Liver Studies, King's College Hospital and King's College London, London, United Kingdom.
John RamageInstitute of Liver Studies, King's College Hospital and King's College London, London, United Kingdom.
Elena PalmaFoundation for Liver Research, The Roger Williams Institute of Hepatology, London, United Kingdom.
Rajaventhan SrirajaskanthanInstitute of Liver Studies, King's College Hospital and King's College London, London, United Kingdom.
Shilpa ChokshiFoundation for Liver Research, The Roger Williams Institute of Hepatology, London, United Kingdom.
King's College Hospital · GBFoundation for Liver Research · GBKing's College London · GBGreat Ormond Street Hospital · GBUniversity College London · GBWilliams (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroendocrine liver metastases (LM-NEN) develop in a considerable proportion of patients with gastroenteropancreatic neuroendocrine neoplasms. There is a paucity of experimental models that accurately recapitulate this complex metastatic human liver microenvironment precluding scientific and clinical advancements. Here, we describe the development of a novel personalised immunocompetent precision cut tumour slice (PCTS) model for LM-NEN using resected human liver tissue. The histological assessment throughout the culture demonstrated that slices maintain viability for at least 7 days and retain the cellular heterogeneity of the original tumour. Essential clinical features, such as patient-specific histoarchitecture, tumour grade, neuroendocrine differentiation and metabolic capacity, are preserved in the slices. The PCTS also replicate the tumor-specific immunological profile as shown by the innate and adaptive immunity markers analysis. Furthermore, the study of soluble immune checkpoint receptors in the culture supernatants proves that these immunomodulators are actively produced by LM-NEN and suggests that this process is epithelium-dependent. This model can be employed to investigate these pathways and provides a powerful platform for mechanistic, immunological and pre-clinical studies.

Indexed as

Liver NeoplasmsNeuroendocrine TumorsHumansTumor Microenvironmentex vivo modelimmune checkpoint receptorneuroendocrine liver metastasessoluble immunomodulatorstissue slicestumour modeling

Identifiers

PMID35909511
PMCPMC9326114
OpenAlexW4285394400

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.