Evidence map›Paper›PMID 29590641›Full record

ReviewDisease models & mechanisms2018

Gastroenteropancreatic neuroendocrine neoplasms: genes, therapies and models.

Kenta Kawasaki, Masayuki Fujii, Toshiro Sato

Open access · goldAbstract readReview
In one paragraph

Review in Disease models & mechanisms, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

30 citing papers in PubMed, 50 citations in OpenAlex.

  1. Trial
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  7. Multifaceted modeling of small intestinal neuroendocrine tumors.Endocrine oncology (Bristol, England) · 2024
    Review
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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

3 authors at 1 institution in 1 country.

Kenta KawasakiDepartment of Gastroenterology, Keio University School of Medicine, Tokyo 160-8582, Japan.
Masayuki FujiiDepartment of Gastroenterology, Keio University School of Medicine, Tokyo 160-8582, Japan.
Toshiro SatoDepartment of Gastroenterology, Keio University School of Medicine, Tokyo 160-8582, Japan t.sato@keio.jp.ORCID 0000-0001-8353-8137
Keio University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) refer to a group of heterogeneous cancers of neuroendocrine cell phenotype that mainly fall into one of two subtypes: gastroenteropancreatic neuroendocrine tumors (GEP-NETs; well differentiated) or gastroenteropancreatic neuroendocrine carcinomas (GEP-NECs; poorly differentiated). Although originally defined as orphan cancers, their steadily increasing incidence highlights the need to better understand their etiology. Accumulating epidemiological and clinical data have shed light on the pathological characteristics of these diseases. However, the relatively low number of patients has hampered conducting large-scale clinical trials and hence the development of novel treatment strategies. To overcome this limitation, tractable disease models that faithfully reflect clinical features of these diseases are needed. In this Review, we summarize the current understanding of the genetics and biology of these diseases based on conventional disease models, such as genetically engineered mouse models (GEMMs) and cell lines, and discuss the phenotypic differences between the models and affected humans. We also highlight the emerging disease models derived from human clinical samples, including patient-derived xenograft models and organoids, which may provide biological and therapeutic insights into GEP-NENs.

Indexed as

AnimalsDisease Models, AnimalHumansIntestinal NeoplasmsNeuroendocrine TumorsPancreatic NeoplasmsStomach NeoplasmsGEP-NENsNeuroendocrine cancerNeuroendocrine tumorOrganoidsRare disease modeling

Identifiers

PMID29590641
PMCPMC5894937
OpenAlexW2788432106

What OpenQuestion holds

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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 OpenQuestion graph.