Evidence map›Paper›PMID 27613834›Full record

ArticleOncotarget2016

Generation and molecular characterization of pancreatic cancer patient-derived xenografts reveals their heterologous nature.

Jaeyun Jung, Cue Hyunkyu Lee, Hyang Sook Seol, Yeon Sook Choi, Eunji Kim, Eun Ji Lee, Je-Keun Rhee, Shree Ram Singh, Eun Sung Jun, Buhm Han and 3 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 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing 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.

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

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

  1. Patient-Derived Xenograft Models in Cervical Cancer: A Systematic Review.International journal of molecular sciences · 2021
    Pooled it
  2. Article
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  8. Antibody-mediated blockade for galectin-3 binding protein in tumor secretome abrogates PDAC metastasis.Proceedings of the National Academy of Sciences of the United States of America · 2022
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  18. [Comparison of B-NDGNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2020
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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

13 authors.

Jaeyun JungDepartment of Biomedical Sciences, University of Ulsan College of Medicine, Seoul, Korea.
Cue Hyunkyu LeeDepartment of Convergence Medicine, University of Ulsan College of Medicine, Seoul, Korea.
Hyang Sook SeolAsan Institute for Life Sciences, Asan Medical Center, Seoul, Korea.
Yeon Sook ChoiAsan Institute for Life Sciences, Asan Medical Center, Seoul, Korea.
Eunji KimDepartment of Convergence Medicine, University of Ulsan College of Medicine, Seoul, Korea.
Eun Ji LeeDepartment of Biomedical Sciences, University of Ulsan College of Medicine, Seoul, Korea.
Je-Keun RheeDepartment of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Shree Ram SinghMouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, MD, USA.
Eun Sung JunDepartment of Biomedical Sciences, University of Ulsan College of Medicine, Seoul, Korea.
Buhm HanDepartment of Convergence Medicine, University of Ulsan College of Medicine, Seoul, Korea.
Seung Mo HongDepartment of Pathology, Asan Medical Center, Seoul, Korea.
Song Cheol KimDepartment of Surgery, Asan Medical Center, Seoul, Korea.
Suhwan ChangDepartment of Biomedical Sciences, University of Ulsan College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is the most challenging type of cancer to treat, with a 5-year survival rate of <10%. Furthermore, because of the large portion of the inoperable cases, it is difficult to obtain specimens to study the biology of the tumors. Therefore, a patient-derived xenograft (PDX) model is an attractive option for preserving and expanding these tumors for translational research. Here we report the generation and characterization of 20 PDX models of PDAC. The success rate of the initial graft was 74% and most tumors were re-transplantable. Histological analysis of the PDXs and primary tumors revealed a conserved expression pattern of p53 and SMAD4; an exome single nucleotide polymorphism (SNP) array and Comprehensive Cancer Panel showed that PDXs retained over 94% of cancer-associated variants. In addition, Polyphen2 and the Sorting Intolerant from Tolerant (SIFT) prediction identified 623 variants among the functional SNPs, highlighting the heterologous nature of pancreatic PDXs; an analysis of 409 tumor suppressor genes and oncogenes in Comprehensive Cancer Panel revealed heterologous cancer gene mutation profiles for each PDX-primary tumor pair. Altogether, we expect these PDX models are a promising platform for screening novel therapeutic agents and diagnostic markers for the detection and eradication of PDAC.

Indexed as

Neoplasm TransplantationPolymorphism, Single NucleotideAnimalsDisease Models, AnimalDNA Mutational AnalysisExomeGene Expression ProfilingGene Expression Regulation, NeoplasticGenetic VariationHumansMaleMiceMice, Inbred NODMice, SCIDMultivariate AnalysisMutationSmad4 ProteinSMAD4 protein, humanTP53 protein, humanTumor Suppressor Protein p53cancer panelheterogeneitypancreatic cancerpatient-derived xenograftsingle nucleotide polymorphism

Identifiers

PMID27613834
PMCPMC5308744

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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.