Evidence map›Paper›PMID 23842453›Full record

ArticleJournal of translational medicine2013

Establishment of patient-derived non-small cell lung cancer xenograft models with genetic aberrations within EGFR, KRAS and FGFR1: useful tools for preclinical studies of targeted therapies.

Xu-chao Zhang, Jingchuan Zhang, Ming Li, Xiao-sui Huang, Xue-ning Yang, Wen-zhao Zhong, Liang Xie, Lin Zhang, Minhua Zhou, Paul Gavine and 6 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Review
  2. Review
  3. Pharmacological and Biological Targeting of FGFR1 in Cancer.Current issues in molecular biology · 2024
    Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review on Advanced Cancer Modeling for a Cancer Study.Current issues in molecular biology · 2022
    Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Organoids in Lung Cancer Management.Frontiers in surgery · 2021
    Review
  18. Article
  19. Review
  20. 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

16 authors.

Xu-chao ZhangMedical Research Center of Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangdong Lung Cancer Institute Guangzhou 510080, PR China.
Jingchuan Zhang
Ming Li
Xiao-sui Huang
Xue-ning Yang
Wen-zhao Zhong
Liang Xie
Lin Zhang
Minhua Zhou
Paul Gavine
Xinying Su
Li Zheng
Guanshan Zhu
Ping Zhan
Qunsheng Ji
Yi-long Wu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient-derived tumor xenograft models have been established and increasingly used for preclinical studies of targeted therapies in recent years. However, patient-derived non-small cell lung cancer (NSCLC) xenograft mouse models are relatively few in number and are limited in their degree of genetic characterization and validation. In this study, we aimed to establish a variety of patient-derived NSCLC models and characterize these for common genetic aberrations to provide more informative models for preclinical drug efficacy testing.

methodsNSCLC tissues from thirty-one patients were collected and implanted into immunodeficient mice. Established xenograft models were characterized for common genetic aberrations, including detection of gene mutations within EGFR and KRAS, and genetic amplification of FGFR1 and cMET. Finally, gefitinib anti-tumor efficacy was tested in these patient-derived NSCLC xenograft models.

resultsTen passable patient-derived NSCLC xenograft models were established by implantation of NSCLC specimens of thirty-one patients into immunodeficient mice. Genetic aberrations were detected in six of the models, including one model with an EGFR activating mutation (Exon19 Del), one model with KRAS mutation, one model with both KRAS mutation and cMET gene amplification, and three models with FGFR1 amplification. Anti-tumor efficacy studies using gefitinib demonstrated that the EGFR activating mutation model had superior sensitivity and that the KRAS mutation models were resistant to gefitinib. The range of gefitinib responses in the patient-derived NSCLC xenograft models were consistent with the results reported from clinical trials. Furthermore, we observed that patient-derived NSCLC models with FGFR1 gene amplification were insensitive to gefitinib treatment.

conclusionsTen patient-derived NSCLC xenograft models were established containing a variety of genetic aberrations including EGFR activating mutation, KRAS mutation, and FGFR1 and cMET amplification. Gefitinib anti-tumor efficacy in these patient-derived NSCLC xenografts containing EGFR and KRAS mutation was consistent with the reported results from previous clinical trials. Thus, data from our panel of patient-derived NSCLC xenograft models confirms the utility of these models in furthering our understanding of this disease and aiding the development of personalized therapies for NSCLC patients.

Indexed as

MutationAnimalsAntineoplastic AgentsCarcinoma, Non-Small-Cell LungCell Line, TumorDisease Models, AnimalDNA Mutational AnalysisErbB ReceptorsFemaleGefitinibGenes, rasGenetic VariationHumansLung NeoplasmsMiceMice, NudeAntineoplastic AgentsErbB ReceptorsFGFR1 protein, humanGefitinibProto-Oncogene Proteins c-metQuinazolinesras ProteinsReceptor, Fibroblast Growth Factor, Type 1

Identifiers

PMID23842453
PMCPMC3716998

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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.