Evidence map›Paper›PMID 26384275›Full record

ReviewSeminars in radiation oncology2015

Patient-Derived Xenografts as a Model System for Radiation Research.

Christopher D Willey, Ashley N Gilbert, Joshua C Anderson, George Yancey Gillespie

Open access · greenAbstract readReview
In one paragraph

Review in Seminars in radiation oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.6field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
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  9. Cancer Explant Models.Current topics in microbiology and immunology · 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

4 authors at 1 institution in 1 country.

Christopher D WilleyDepartment of Radiation Oncology, The University of Alabama at Birmingham. Electronic address: cwilley@uab.edu.
Ashley N GilbertDepartment of Radiation Oncology, The University of Alabama at Birmingham.
Joshua C AndersonDepartment of Radiation Oncology, The University of Alabama at Birmingham.
George Yancey GillespieDepartment of Neurosurgery, The University of Alabama at Birmingham.
University of Alabama at Birmingham · US

Funding

3D-Microtumor_GBM Xenoline Proband Modeling of Kinome-Directed TherapyR21CA185712 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI WILLEY, CHRISTOPHER D · 2014 to 2015
$363k
NCI NIH HHS R21 CA185712NCI NIH HHS R21CA185712-01
6 · The paper itself

Abstract

The cancer literature is filled with promising preclinical studies demonstrating impressive efficacy for new therapeutics, yet translation of these approaches into clinical successes has been rare, indicating that current methods used to predict efficacy are suboptimal. The most likely reason for the limitation of these studies is the disconnect between preclinical models and cancers treated in the clinic. Specifically, most preclinical models are poor representations of human disease. Immortalized cancer cell lines that dominate the cancer literature may be, in a sense, "paper tigers" that have been selected by decades of culture to be artificially driven by highly targetable proteins. Thus, although effective in treating these cell lines either in vitro or as artificial tumors transplanted from culture into experimental animals as xenografts, the identified therapies would likely underperform in a clinical setting. This inherent limitation applies not only to drug testing but also to experiments with radiation therapy. Indeed, traditional radiobiology methods rely on monolayer culture systems, with emphasis on colony formation and DNA damage assessment that may have limited clinical translation. As such, there has been keen interest in developing tumor explant systems in which patient tumors are directly transplanted into and solely maintained in vivo, using immunocompromised mice. These so-called patient-derived xenografts (PDXs) represent a robust model system that has been garnering support in academia and industry as a superior preclinical approach to drug testing. Likewise, PDX models have the potential to improve radiation research. In this review, we describe how PDX models are currently being used for both drug and radiation testing and how they can be incorporated into a translational research program.

Indexed as

HeterograftsResearch DesignAnimalsDisease Models, AnimalHumansMiceNeoplasms, Experimental

Identifiers

PMID26384275
PMCPMC4758448
OpenAlexW1836607032

What OpenQuestion holds

Textmetadata
LicenceTDM
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.