Evidence map›Paper›PMID 27528024›Full record

ArticleOncotarget2016

A single nucleotide polymorphism genotyping platform for the authentication of patient derived xenografts.

Jad El-Hoss, Duohui Jing, Kathryn Evans, Cara Toscan, Jinhan Xie, Hyunjoo Lee, Renea A Taylor, Mitchell G Lawrence, Gail P Risbridger, Karen L MacKenzie and 2 more

Abstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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.

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

18 citing papers in PubMed.

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  18. Bioluminescence Imaging Enhances Analysis of Drug Responses in a Patient-Derived Xenograft Model of Pediatric ALL.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017
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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

12 authors.

Jad El-HossChildren's Cancer Institute, Lowy Cancer Research Centre, Sydney, UNSW, Australia.
Duohui JingChildren's Cancer Institute, Lowy Cancer Research Centre, Sydney, UNSW, Australia.
Kathryn EvansChildren's Cancer Institute, Lowy Cancer Research Centre, Sydney, UNSW, Australia.
Cara ToscanChildren's Cancer Institute, Lowy Cancer Research Centre, Sydney, UNSW, Australia.
Jinhan XieChildren's Cancer Institute, Lowy Cancer Research Centre, Sydney, UNSW, Australia.
Hyunjoo LeeChildren's Cancer Institute, Lowy Cancer Research Centre, Sydney, UNSW, Australia.
Renea A TaylorProstate Research Group, Department of Physiology, Biomedicine Discovery Institute, Monash Partners Comprehensive Cancer Consortium, Monash University, Clayton, VIC, Australia.
Mitchell G LawrenceProstate Research Group, Department of Anatomy and Developmental Biology, Biomedicine Discovery Institute, Monash Partners Comprehensive Cancer Consortium, Monash University, Clayton, VIC, Australia.
Gail P RisbridgerProstate Research Group, Department of Anatomy and Developmental Biology, Biomedicine Discovery Institute, Monash Partners Comprehensive Cancer Consortium, Monash University, Clayton, VIC, Australia.
Karen L MacKenzieChildren's Cancer Institute, Lowy Cancer Research Centre, Sydney, UNSW, Australia.
Rosemary SuttonChildren's Cancer Institute, Lowy Cancer Research Centre, Sydney, UNSW, Australia.
Richard B LockChildren's Cancer Institute, Lowy Cancer Research Centre, Sydney, UNSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient derived xenografts (PDXs) have become a vital, frequently used, component of anti-cancer drug development. PDXs can be serially passaged in vivo for years, and shared across laboratories. As a consequence, the potential for mis-identification and cross-contamination is possible, yet authentication of PDXs appears limited. We present a PDX Authentication System (PAS), by combining a commercially available OpenArray assay of single nucleotide polymorphisms (SNPs) with in-house R studio programs, to validate PDXs established in individual mice from acute lymphoblastic leukemia biopsies. The PAS is sufficiently robust to identify contamination at levels as low as 3%, similar to the gold standard of short tandem repeat (STR) profiling. We have surveyed a panel of PDXs established from 73 individual leukemia patients, and found that the PAS provided sufficient discriminatory power to identify each xenograft. The identified SNP-discrepant PDXs demonstrated distinct gene expression profiles, indicating a risk of contamination for PDXs at high passage number. The PAS also allows for the authentication of tumor cells with complex karyotypes from solid tumors including prostate cancer and Ewing's sarcoma. This study highlights the demands of authenticating PDXs for cancer research, and evaluates a reliable authentication platform that utilizes a commercially available and cost-effective system.

Indexed as

GenotypeAnimalsCell Line, TumorChimerismChromosome AberrationsFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiceMice, SCIDPolymorphism, Single NucleotidePrecursor Cell Lymphoblastic Leukemia-LymphomaProstatic NeoplasmsSarcoma, EwingTissue Array AnalysisauthenticationOpenArraypatient derived xenograftsR studioSNP genotyping

Identifiers

PMID27528024
PMCPMC5312397

What OpenQuestion holds

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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.