Evidence map›Paper›PMID 22508028›Full record

ReviewNature reviews. Clinical oncology2012

Patient-derived tumour xenografts as models for oncology drug development.

John J Tentler, Aik Choon Tan, Colin D Weekes, Antonio Jimeno, Stephen Leong, Todd M Pitts, John J Arcaroli, Wells A Messersmith, S Gail Eckhardt

Registry-linked trialOpen access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Clinical oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02363647 (Personalized Cancer Therapy for Patients With Metastatic Medullary Thyroid or Metastatic Colon Cancer), which is not on this map. Cited by 763 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
763citing papers in PubMed, 1 pooled it
35.8field-weighted citation impact, top 1% 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.

NCT02363647 naterminatednot on this mapstarted 2015, after this paper: background citation

Personalized Cancer Therapy for Patients With Metastatic Medullary Thyroid or Metastatic Colon Cancer

TypeinterventionalSponsorIcahn School of Medicine at Mount SinaiRan2015 to 2022Enrolled10ConditionsMedullary Thyroid Cancer, Colon CancerArmsTumor Genomic Analysis
3 · Its place in the literature

Who cites it

763 citing papers in PubMed, 1 synthesis or guideline pooled it, 1,286 citations in OpenAlex.

  1. Pooled it
  2. Results of the Phase I/II Study and Preliminary B-cell Gene Signature of Combined Inhibition of Glutamine Metabolism and EGFR in Colorectal Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Trial
  3. Orthotopic Implants in Mice.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
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703 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

9 authors at 1 institution in 1 country.

John J TentlerDivision of Medical Oncology, Department of Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, 12801 East 17th Avenue, Aurora, CO 80045, USA.
Aik Choon Tan
Colin D Weekes
Antonio Jimeno
Stephen Leong
Todd M Pitts
John J Arcaroli
Wells A Messersmith
S Gail Eckhardt
University of Colorado Anschutz Medical Campus · US

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
NCI NIH HHS P30 CA046934
6 · The paper itself

Abstract

Progress in oncology drug development has been hampered by a lack of preclinical models that reliably predict clinical activity of novel compounds in cancer patients. In an effort to address these shortcomings, there has been a recent increase in the use of patient-derived tumour xenografts (PDTX) engrafted into immune-compromised rodents such as athymic nude or NOD/SCID mice for preclinical modelling. Numerous tumour-specific PDTX models have been established and, importantly, they are biologically stable when passaged in mice in terms of global gene-expression patterns, mutational status, metastatic potential, drug responsiveness and tumour architecture. These characteristics might provide significant improvements over standard cell-line xenograft models. This Review will discuss specific PDTX disease examples illustrating an overview of the opportunities and limitations of these models in cancer drug development, and describe concepts regarding predictive biomarker development and future applications.

Indexed as

Drug DesignXenograft Model Antitumor AssaysAnimalsAntineoplastic AgentsHumansMiceNeoplasmsAntineoplastic Agents

Identifiers

PMID22508028
PMCPMC3928688
OpenAlexW1981421409

What OpenQuestion holds

Textmetadata
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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.