Evidence map›Paper›PMID 29125233›Full record

ArticleCancer medicine2017

In vivo imaging xenograft models for the evaluation of anti-brain tumor efficacy of targeted drugs.

Kenji Kita, Sachiko Arai, Akihiro Nishiyama, Hirokazu Taniguchi, Koji Fukuda, Rong Wang, Tadaaki Yamada, Shinji Takeuchi, Shoichiro Tange, Atsushi Tajima and 5 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Cancer medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact, top 75% 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

4 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

15 authors at 4 institutions in 1 country.

Kenji KitaDivision of Medical Oncology, Kanazawa University Cancer Research Institute, Kanazawa, Japan.ORCID http://orcid.org/0000-0002-4622-6633
Sachiko AraiDivision of Medical Oncology, Kanazawa University Cancer Research Institute, Kanazawa, Japan.
Akihiro NishiyamaDivision of Medical Oncology, Kanazawa University Cancer Research Institute, Kanazawa, Japan.
Hirokazu TaniguchiDivision of Medical Oncology, Kanazawa University Cancer Research Institute, Kanazawa, Japan.
Koji FukudaDivision of Medical Oncology, Kanazawa University Cancer Research Institute, Kanazawa, Japan.
Rong WangDivision of Medical Oncology, Kanazawa University Cancer Research Institute, Kanazawa, Japan.
Tadaaki YamadaDepartment of Pulmonary Medicine, Graduate School of Medical Science, Kyoto Prefectural, University of Medicine, Kyoto, Japan.
Shinji TakeuchiDivision of Medical Oncology, Kanazawa University Cancer Research Institute, Kanazawa, Japan.
Shoichiro TangeDepartment of Bioinformatics and Genomics, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, Kanazawa, Japan.
Atsushi TajimaDepartment of Bioinformatics and Genomics, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, Kanazawa, Japan.ORCID http://orcid.org/0000-0001-6808-5491
Mitsutoshi NakadaDepartment of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Kanazawa, Japan.
Kazuo YasumotoDepartment of Medical Oncology, Kanazawa Medical University, Kahoku, Japan.
Yoshiharu MotooDepartment of Medical Oncology, Kanazawa Medical University, Kahoku, Japan.
Takashi MurakamiDepartment of Microbiology, Faculty of Medicine, Saitama Medical University, Saitama, Japan.
Seiji YanoDivision of Medical Oncology, Kanazawa University Cancer Research Institute, Kanazawa, Japan.
Kanazawa University · JPKanazawa Medical University · JPKyoto Prefectural University of Medicine · JPSaitama Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular-targeted drugs are generally effective against tumors containing driver oncogenes, such as EGFR, ALK, and NTRK1. However, patients harboring these oncogenes frequently experience a progression of brain metastases during treatment. Here, we present an in vivo imaging model for brain tumors using human cancer cell lines, including the EGFR-L858R/T790M-positive H1975 lung adenocarcinoma cells, the NUGC4 hepatocyte growth factor (HGF)-dependent gastric cancer cells, and the KM12SM colorectal cancer cells containing the TPM3-NTRK1 gene fusion. We investigated the efficacy of targeted drugs by comparison with their effect in extracranial models. In vitro, H1975 cells were sensitive to the third-generation epidermal growth factor receptor inhibitor osimertinib. Moreover, HGF stimulated the proliferation of NUGC4 cells, that was inhibited by crizotinib, which has anti-MET activity. KM12SM cells were sensitive to the tropomyosin-related kinase-A inhibitors crizotinib and entrectinib. In in vivo H1975 cell models, osimertinib inhibited the progression of both brain and subcutaneous tumors. Furthermore, in in vivo NUGC4 cell models, crizotinib remarkably delayed the progression of brain tumors, and that of peritoneal carcinomatosis. Interestingly, in in vivo KM12SM cell models, treatment with crizotinib delayed the progression of liver metastases, but not that of brain tumors. Conversely, treatment with entrectinib discernibly delayed the progression of both tumor types. Thus, the effect of targeted drugs against brain tumors can differ from the one reported in extracranial tumors. Moreover, the same multikinase inhibitory drug can display different efficacies in brain tumor models containing different drivers. Therefore, our in vivo imaging model for brain tumors may prove useful for preclinical drug screening against brain metastases.

Indexed as

Molecular Targeted TherapyAnimalsAntineoplastic AgentsBiomarkers, TumorBrain NeoplasmsCell Line, TumorCell ProliferationCell SurvivalDose-Response Relationship, DrugErbB ReceptorsFemaleHepatocyte Growth FactorHumansMice, SCIDMolecular ImagingPredictive Value of TestsAntineoplastic AgentsBiomarkers, TumorEGFR protein, humanErbB ReceptorsHepatocyte Growth FactorHGF protein, humanNTRK1 protein, humanProtein Kinase InhibitorsReceptor, trkABrain tumorentrectinibNTRK1osimertinibTRK-A

Identifiers

PMID29125233
PMCPMC5727243
OpenAlexW2767979983

What OpenQuestion holds

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LicenceCC BY
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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.