Evidence map›Paper›PMID 32323818›Full record

ArticleOncology reports2020

Patient‑derived orthotopic xenograft glioma models fail to replicate the magnetic resonance imaging features of the original patient tumor.

Wei Xue, Haipeng Ton, Junfeng Zhang, Tian Xie, Xiao Chen, Bo Zhou, Yu Guo, Jingqin Fang, Shunan Wang, Weiguo Zhang

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Oncology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. The impact of initial tumor microenvironment on imaging phenotype.Cancer treatment and research communications · 2021
    Article
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

10 authors at 2 institutions in 1 country.

Wei Xue *Department of Radiology, Daping Hospital, Army Medical University, Chongqing 400042, P.R. China.
Haipeng Ton *Department of Radiology, Daping Hospital, Army Medical University, Chongqing 400042, P.R. China.
Junfeng ZhangDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing 400042, P.R. China.
Tian XieDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing 400042, P.R. China.
Xiao ChenDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing 400042, P.R. China.
Bo ZhouDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing 400042, P.R. China.
Yu GuoDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing 400042, P.R. China.
Jingqin FangDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing 400042, P.R. China.
Shunan WangDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing 400042, P.R. China.
Weiguo ZhangDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing 400042, P.R. China.
Daping Hospital · CNArmy Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient‑derived orthotopic glioma xenograft models are important platforms used for pre‑clinical research of glioma. In the present study, the diagnostic ability of magnetic resonance imaging (MRI) was examined with regard to the identification of biomarkers obtained from patient‑derived glioma xenografts and human tumors. Conventional MRI, diffusion weighted imaging and dynamic contrast‑enhanced (DCE)‑MRI were used to analyze seven pairs of high grade gliomas with their corresponding xenografts obtained from non‑obese diabetic‑severe‑combined immunodeficiency nude mice. Tumor samples were collected for transcriptome sequencing and histopathological staining, and differentially expressed genes were screened between the original tumors and the corresponding xenografts. Gene Ontology (GO) analysis was performed to predict the functions of these genes. In 6 cases of xenografts with diffuse growth, the degree of enhancement was significantly lower compared with the original tumors. Histopathological staining indicated that the microvascular area and microvascular diameter of the xenografts were significantly lower compared with the original tumors (P=0.009 and P=0.007, respectively). In one case, there was evidence of nodular tumor growth in the mouse. Both MRI and histopathological staining showed a clear demarcation between the transplanted tumors and the normal brain tissues. The relative apparent diffusion coefficient values of the 7 cases examined were significantly higher compared with the corresponding original tumors (P=0.001) and transfer coefficient values derived from DCE‑MRI of the tumor area was significantly lower compared with the original tumors (P=0.016). GO analysis indicated that the expression levels of extracellular matrix‑associated genes, angiogenesis‑associated genes and immune function‑associated genes in the original tumors were higher compared with the corresponding xenografts. In conclusion, the data demonstrated that the MRI features of patient‑derived xenograft glioma models in mice were different compared with those of the original patient tumors. Differential gene expression may underlie the differences noted in the MRI features between original tumors and corresponding xenografts. The results of the present study highlight the precautions that should be taken when extrapolating data from patient‑derived xenograft studies, and their applicability to humans.

Indexed as

AgedAnimalsBrain NeoplasmsContrast MediaDiffusion Magnetic Resonance ImagingFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksGliomaHumansMagnetic Resonance ImagingMaleMiceMice, NudeMice, SCIDContrast Mediadiffusion weighted imaging-magnetic resonance imagingdynamic contrast-enhanced-magnetic resonance imaginggliomapatient-derived xenograft

Identifiers

PMID32323818
PMCPMC7107810
OpenAlexW3009347134

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.