Evidence map›Paper›PMID 29339747›Full record

ArticleScientific reports2018

An orthotopic mouse model of gastric cancer invasion and metastasis.

Rita A Busuttil, David S Liu, Natasha Di Costanzo, Jan Schröder, Catherine Mitchell, Alex Boussioutas

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

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  20. A tumour-resident Lgr5Nature cell biology · 2021
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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

6 authors at 3 institutions in 1 country.

Rita A BusuttilUpper Gastrointestinal Translational Research Laboratory, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.
David S LiuSir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, Australia.ORCID http://orcid.org/0000-0001-8936-4123
Natasha Di CostanzoUpper Gastrointestinal Translational Research Laboratory, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.
Jan SchröderBioinformatics Division, The Walter & Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Catherine MitchellSchool of Computing and Information Systems, The University of Melbourne, Parkville, VIC, Australia.
Alex BoussioutasUpper Gastrointestinal Translational Research Laboratory, Peter MacCallum Cancer Centre, Parkville, VIC, Australia. alex.boussioutas@petermac.org.
The University of Melbourne · AUThe Royal Melbourne Hospital · AUPeter MacCallum Cancer Centre · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer is a leading cause of cancer death worldwide, with advanced stage being correlated to the level of tumour invasion and metastasis. Current research is heavily focused on the identification and development of efficacious therapeutics targeting these fundamental hallmarks of cancer, however there are currently no animal models that mimic the invasive phenotypes observed in humans. To address this we have developed an orthotopic mouse model whereby gastric cancer cell lines are tagged with luciferase and injected into the subserosal layer of the stomach. This allows for the monitoring of primary tumour growth and metastasis in real-time as well as quantitation of the degree of tumour invasion through the stomach wall by immunohistochemistry. We have three models based on the degree of invasion and metastasis that are cell line specific: The AGS cells develop into invasive tumours by 4-weeks with no evidence of metastases, MKN45 cells are moderately metastatic with minimal invasion till week 2 and MKN28 cells are highly metastatic and fully invasive by week 1. These models have utility as a tool for testing the efficacy of anti-tumour, anti-invasive and anti-metastatic therapies in the setting of gastric cancer, which currently has poor treatment options.

Indexed as

Abdominal NeoplasmsAnimalsCell Line, TumorDisease Models, AnimalHumansMiceMice, KnockoutMucous MembraneNeoplasm InvasivenessOptical ImagingStomach NeoplasmsThoracic NeoplasmsTransplantation, Heterologous

Identifiers

PMID29339747
PMCPMC5770387
OpenAlexW2783528081

What OpenQuestion 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 OpenQuestion graph.