Evidence map›Paper›PMID 31432603›Full record

ArticleCancer science2019

Patient-derived xenograft models of non-small cell lung cancer for evaluating targeted drug sensitivity and resistance.

Kenji Kita, Koji Fukuda, Hiro Takahashi, Azusa Tanimoto, Akihiro Nishiyama, Sachiko Arai, Shinji Takeuchi, Kaname Yamashita, Koshiro Ohtsubo, Sakiko Otani and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

28 citing papers in PubMed, 50 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Advances in tumor vascular growth inhibition.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Targeted therapy for rare lung cancers: Status, challenges, and prospects.Molecular therapy : the journal of the American Society of Gene Therapy · 2023
    Review
  12. Article
  13. Article
  14. Article
  15. Basic Science Perspective on Engineering and Modeling the Large Airways.Advances in experimental medicine and biology · 2023
    Article
  16. Article
  17. Review
  18. Review
  19. Cell Behavior of Non-Small Cell Lung Cancer Is at EGFR and MicroRNAs Hands.International journal of molecular sciences · 2021
    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 at 2 institutions in 1 country.

Kenji KitaDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.ORCID https://orcid.org/0000-0002-4622-6633
Koji FukudaDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Hiro TakahashiGraduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan.ORCID https://orcid.org/0000-0002-8230-9524
Azusa TanimotoDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Akihiro NishiyamaDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Sachiko AraiDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Shinji TakeuchiDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Kaname YamashitaDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Koshiro OhtsuboDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Sakiko OtaniDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Naohiro YanagimuraDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Chiaki SuzukiDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Hiroko IkedaDivision of Pathology, Kanazawa University Hospital, Kanazawa, Japan.
Masaya TamuraDepartment of Thoracic, Cardiovascular and General Surgery, Kanazawa University, Kanazawa, Japan.
Isao MatsumotoDepartment of Thoracic, Cardiovascular and General Surgery, Kanazawa University, Kanazawa, Japan.
Seiji YanoDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.ORCID https://orcid.org/0000-0002-6151-2988
Kanazawa University · JPKanazawa University Hospital · JP

Funding

Japan Agency for Medical Research and Development 16cm0106513h0001Japan Society for the Promotion of Science 16H05308Japan Society for the Promotion of Science 18K08141Kanazawa University Extramural Collaborative Research Grant of Cancer Research Institute
6 · The paper itself

Abstract

Patient-derived xenograft (PDX) models are a useful tool in cancer biology research. However, the number of lung cancer PDX is limited. In the present study, we successfully established 10 PDX, including three adenocarcinoma (AD), six squamous cell carcinoma (SQ) and one large cell carcinoma (LA), from 30 patients with non-small cell lung cancer (NSCLC) (18 AD, 10 SQ, and 2 LA), mainly in SCID hairless outbred (SHO) mice (Crlj:SHO-Prkdc

Indexed as

Adenocarcinoma of LungAgedAged, 80 and overAnimalsCarcinoma, Large CellCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellCell Line, TumorCell ProliferationDrug Resistance, NeoplasmDrug Screening Assays, AntitumorErbB ReceptorsFemaleHumansLung NeoplasmsMaleEGFR protein, humanErbB ReceptorsProtein Kinase InhibitorsEGFR mutationEGFR-TKInon-small cell lung cancerpatient-derived xenograftSHO mouse

Identifiers

PMID31432603
PMCPMC6778641
OpenAlexW2969643706

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.