Evidence map›Paper›PMID 25185190›Full record

ReviewCancer discovery2014

Patient-derived xenograft models: an emerging platform for translational cancer research.

Manuel Hidalgo, Frederic Amant, Andrew V Biankin, Eva Budinská, Annette T Byrne, Carlos Caldas, Robert B Clarke, Steven de Jong, Jos Jonkers, Gunhild Mari Mælandsmo and 4 more

Registry-linked trialAbstract readReview
In one paragraph

Review in Cancer discovery, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06246630 (A Prospective, Exploratory Study Evaluating the Effectiveness of Treatment Regimens for Locally Advanced/Metastatic Non-resectable Pancreatic Neuroendocrine Tumor), which is not on this map. Cited by 1,048 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,048citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

NCT06246630 naunknown statusnot on this mapstarted 2024, after this paper: background citation

A Prospective, Exploratory Study Evaluating the Effectiveness of Treatment Regimens for Locally Advanced/Metastatic Non-resectable Pancreatic Neuroendocrine Tumor (PNET) Guided by in Vitro Drug Sensitivity Testing of Tumor Organoids

TypeinterventionalSponsorRuijin HospitalRan2024 to 2026Enrolled20ConditionsAdvanced Pancreatic Neuroendocrine TumorArmsChemotherapy and targeted-therapy guided by organoid drug sensitivity test
3 · Its place in the literature

Who cites it

1,048 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Ewing Sarcoma PDX Models.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
  3. Review
  4. Article
  5. Interleukin-1α (IL-1α) in pancreatic ductal adenocarcinoma: implications for immunotherapy and molecular biomarkers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Beyond DNA damage: 3D tumor models and the integrin mechanobiology of radioresistance.Journal of experimental & clinical cancer research : CR · 2026
    Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. Review
  20. Review

988 more citing papers are in PubMed but not listed here.

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.

Manuel HidalgoCentro Nacional de Investigaciones Oncológicas, Madrid; mhidalgo@cnio.es.
Frederic AmantKatholieke Universiteit Leuven, Leuven, Belgium;
Andrew V BiankinWolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Glasgow;
Eva BudinskáMasaryk University, Brno, Czech Republic;
Annette T ByrneRoyal College of Surgeons in Ireland, Dublin, Ireland;
Carlos CaldasCambridge Cancer Centre, Cambridge;
Robert B ClarkeBreakthrough Breast Cancer Unit, Institute of Cancer Sciences, University of Manchester, Manchester, United Kingdom;
Steven de JongUniversity Medical Centre Groningen, Groningen;
Jos JonkersThe Netherlands Cancer Institute, Amsterdam, the Netherlands;
Gunhild Mari MælandsmoOslo University Hospital, Oslo, Norway;
Sergio Roman-RomanInstitut Curie, Paris, France;
Joan SeoaneVall d'Hebron Institute of Oncology;
Livio TrusolinoCandiolo Cancer Institute - FPO IRCCS; and Department of Oncology, University of Torino, Candiolo, Torino, Italy.
Alberto VillanuevaCatalan Institute of Oncology-Bellvitge Biomedical Research Institute, L'Hospitalet de Llobregat, Barcelona, Spain;

Funding

Cancer Research UK 16942Cancer Research UK 17263Cancer Research UK A9401
6 · The paper itself

Abstract

unlabelledRecently, there has been an increasing interest in the development and characterization of patient-derived tumor xenograft (PDX) models for cancer research. PDX models mostly retain the principal histologic and genetic characteristics of their donor tumor and remain stable across passages. These models have been shown to be predictive of clinical outcomes and are being used for preclinical drug evaluation, biomarker identification, biologic studies, and personalized medicine strategies. This article summarizes the current state of the art in this field, including methodologic issues, available collections, practical applications, challenges and shortcomings, and future directions, and introduces a European consortium of PDX models. SIGNIFICANCE: PDX models are increasingly used in translational cancer research. These models are useful for drug screening, biomarker development, and the preclinical evaluation of personalized medicine strategies. This review provides a timely overview of the key characteristics of PDX models and a detailed discussion of future directions in the field.

Indexed as

Disease Models, AnimalHeterograftsTranslational Research, BiomedicalAnimalsDrug DiscoveryDrug Evaluation, PreclinicalHumansNeoplasmsPrecision MedicineXenograft Model Antitumor Assays

Identifiers

PMID25185190
PMCPMC4167608

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.