Evidence map›Paper›PMID 32253687›Full record

SynthesisUpdates in surgery2020

Patient-Derived Orthotopic Xenograft models in gastric cancer: a systematic review.

Rossella Reddavid, Simona Corso, Daniel Moya-Rull, Silvia Giordano, Maurizio Degiuli

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Updates in surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 17 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

5 authors at 2 institutions in 1 country.

Rossella ReddavidDepartment of Oncology, Division of Surgical Oncology and Digestive Surgery, San Luigi University Hospital, University of Turin, Regione Gonzole 10, 10043, Orbassano, TO, Italy. rossella.reddavid@unito.it.ORCID http://orcid.org/0000-0003-0603-9953
Simona CorsoDepartment of Oncology, University of Torino, Candiolo, Italy.ORCID http://orcid.org/0000-0002-5069-1503
Daniel Moya-RullCandiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.ORCID http://orcid.org/0000-0002-3555-6477
Silvia GiordanoDepartment of Oncology, University of Torino, Candiolo, Italy.ORCID http://orcid.org/0000-0003-1854-1086
Maurizio DegiuliDepartment of Oncology, Division of Surgical Oncology and Digestive Surgery, San Luigi University Hospital, University of Turin, Regione Gonzole 10, 10043, Orbassano, TO, Italy. maurizio.degiuli@unito.it.ORCID http://orcid.org/0000-0002-9812-7020
Candiolo Cancer Institute · ITOspedale San Luigi Gonzaga · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient-Derived Xenografts (PDXs) are, so far, the best preclinical model to validate targets and predictors of response to therapy. While subcutaneous implantation very rarely allows metastatic dissemination, orthotopic implantation (Patient-Derived Orthotopic Xenograft-PDOX) increases metastatic capability. Using a modified tool to analyze model validity, we performed a systematic review of Embase, PubMed, and Web of Science up to December 2018 to identify all original publications describing gastric cancer (GC) PDOXs. We identified ten studies of PDOX model validation from January 1981 to December 2018 that fulfilled the inclusion and exclusion criteria. Most models (70%) were derived from human GC cell lines rather than tissue fragments. In 90% of studies, the implantation was performed in the subserosal layer. Tumour engraftment rate ranged from 0 to 100%, despite the technique. Metastases were observed in 40% of PDOX models implanted into the subserosal layer, employing either cell suspension or cell line-derived tumour fragments. According to our modified model validity tool, half of the studies were defined as unclear because one or more validation criteria were not reported. Available GC PDOX models are not adequate according to our model validity tool. There is no demonstration that the submucosal site is more effective than the subserosal layer, and that tissue fragments are better than cell suspensions for successful engraftment and metastatic spread. Further studies should strictly employ model validity tools and large samples with orthotopic implant sites mirroring as much as possible the donor tumour characteristics.

Indexed as

Disease Models, AnimalStomach NeoplasmsAnimalsCell Line, TumorHumansMice, Inbred BALB CMice, KnockoutMice, NudeNeoplasm MetastasisNeoplasm TransplantationGastric cancerModel validity toolOrthotopic transplantationPDOXPDXStomach tumour

Identifiers

PMID32253687
OpenAlexW3014377266

What OpenQuestion holds

Textmetadata
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.