Evidence map›Paper›PMID 30126113›Full record

ReviewInternational journal of molecular sciences2018

Patient-Derived Xenograft Models for Endometrial Cancer Research.

Cristian P Moiola, Carlos Lopez-Gil, Silvia Cabrera, Angel Garcia, Tom Van Nyen, Daniela Annibali, Tina Fonnes, August Vidal, Alberto Villanueva, Xavier Matias-Guiu and 4 more

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Patient-Derived Xenograft Models in Cervical Cancer: A Systematic Review.International journal of molecular sciences · 2021
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  12. Strategies for modelling endometrial diseases.Nature reviews. Endocrinology · 2022
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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

14 authors at 8 institutions in 5 countries.

Cristian P MoiolaPathological Oncology Group, Biomedical Research Institute of Lleida (IRBLLEIDA), University Hospital Arnau de Vilanova, 25198 Lleida, Spain. cmoiola@irblleida.cat.
Carlos Lopez-GilBiomedical Research Group in Gynecology, Vall Hebron Institute of Research, CIBERONC, 08035 Barcelona, Spain. carlos.lopez@vhir.org.
Silvia CabreraGynecological Oncology Department, Vall Hebron University Hospital, 08035 Barcelona, Spain. scabrera@vhebron.net.
Angel GarciaPathology Department, Vall Hebron University Hospital, 08035 Barcelona, Spain. angarcia@vhebron.net.
Tom Van NyenDepartment of Oncology, Gynecological Oncology, KU Leuven, 3000 Leuven, Belgium. tom.vannyen@kuleuven.be.
Daniela AnnibaliDepartment of Oncology, Gynecological Oncology, KU Leuven, 3000 Leuven, Belgium. daniela.annibali@kuleuven.be.ORCID 0000-0001-8413-7669
Tina FonnesDepartment of Obstetrics and Gynecology, Haukeland University Hospital, 5021 Bergen, Norway. Tina.Fonnes@uib.no.
August VidalDepartment of Pathology, University Hospital of Bellvitge, Oncobell, IDIBELL, CIBERONC, L'Hospitalet del Llobregat, 08907 Barcelona, Spain. avidal@bellvitgehospital.cat.ORCID 0000-0001-5727-2099
Alberto VillanuevaXenopat S.L, Business Bioincubator, Bellvitge Health Science Campus, L'Hospitalet de Llobregat, 08907 Barcelona, Spain. avillanueva@iconcologia.net.
Xavier Matias-GuiuPathological Oncology Group and Department of Pathology, University Hospital Arnau de Vilanova, University of Lleida, 25198 Lleida, Spain. fjmatiasguiu.lleida.ics@gencat.cat.
Camilla KrakstadDepartment of Obstetrics and Gynecology, Haukeland University Hospital, 5021 Bergen, Norway. camilla.krakstad@med.uib.no.ORCID 0000-0002-0174-8139
Frédéric AmantCentre for Gynecologic Oncology Amsterdam (CGOA), Antoni Van Leeuwenhoek-Netherlands Cancer Institute (AvL-NKI) and University Medical Centra (UMC), 1066 CX Amsterdam, The Netherlands. frederic.amant@uzleuven.be.
Antonio Gil-MorenoBiomedical Research Group in Gynecology, Vall Hebron Institute of Research, CIBERONC, 08035 Barcelona, Spain. agil@vhebron.net.
Eva ColasBiomedical Research Group in Gynecology, Vall Hebron Institute of Research, CIBERONC, 08035 Barcelona, Spain. eva.colas@vhir.org.
Hebron University · PSBellvitge University Hospital · ESHaukeland University Hospital · NOKU Leuven · BEVall d'Hebron Institut de Recerca · ESHospital Universitari Arnau de Vilanova · ESThe Netherlands Cancer Institute · NLUniversitat de Lleida · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometrial cancer (EC) is the most common malignancy of the genital tract among women in developed countries. Recently, a molecular classification of EC has been performed providing a system that, in conjunction with histological observations, reliably improves EC classification and enhances patient management. Patient-derived xenograft models (PDX) represent nowadays a promising tool for translational research, since they closely resemble patient tumour features and retain molecular and histological features. In EC, PDX models have already been used, mainly as an individualized approach to evaluate the efficacy of novel therapies and to identify treatment-response biomarkers; however, their uses in more global or holistic approaches are still missing. As a collaborative effort within the ENITEC network, here we describe one of the most extensive EC PDX cohorts developed from primary tumour and metastasis covering all EC subtypes. Our models are histologically and molecularly characterized and represent an excellent reservoir of EC tumour samples for translational research. This review compiles the information on current methods of EC PDX generation and their utility and provides new perspectives for the exploitation of these valuable tools in order to increase the success ratio for translating results to clinical practice.

Indexed as

AnimalsDisease Models, AnimalDrug DiscoveryEndometrial NeoplasmsEndometriumFemaleHumansNeoplasm TransplantationPrecision MedicineTranslational Research, BiomedicalTransplantation, Heterologousavatarmurine modelsorthoxenograftpersonalized medicinepreclinical studiestargeted therapytranslational researchuterine cancer

Identifiers

PMID30126113
PMCPMC6121639
OpenAlexW2885400165

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.