Evidence map›Paper›PMID 28433771›Full record

ArticleNeoplasia (New York, N.Y.)2017

A Versatile Tumor Gene Deletion System Reveals a Crucial Role for FGFR1 in Breast Cancer Metastasis.

Wei Wang, Yanling Meng, Bingning Dong, Jie Dong, Michael M Ittmann, Chad J Creighton, Yang Lu, Hong Zhang, Tao Shen, Jianghua Wang and 5 more

Open access · goldAbstract read
In one paragraph

Article in Neoplasia (New York, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Advances in Immunocompetent Mouse and Rat Models.Cold Spring Harbor perspectives in medicine · 2024
    Review
  2. Article
  3. Article
  4. Article
  5. FGFR3 signaling and function in triple negative breast cancer.Cell communication and signaling : CCS · 2020
    Article
  6. Clinical cancer research : an official journal of the American Association for Cancer Research · 2019
    Article
  7. Review
  8. 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 2 institutions in 1 country.

Wei WangDepartment of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, United States.
Yanling MengDepartment of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, United States.
Bingning DongDepartment of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, United States.
Jie DongDepartment of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, United States.
Michael M IttmannDepartment of Pathology and Immunology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, United States.
Chad J CreightonDepartment of Medicine, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, United States; Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, United States.
Yang LuDepartment of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, United States.
Hong ZhangDepartment of Pathology and Laboratory Medicine, The University of Texas, MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, United States.
Tao ShenDepartment of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, United States.
Jianghua WangDepartment of Pathology and Immunology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, United States.
David R RowleyDepartment of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, United States.
Yi LiDepartment of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, United States.
Fengju ChenDan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, United States.
David D MooreDepartment of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, United States.
Feng YangDepartment of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, United States. Electronic address: fyang@bcm.edu.
Baylor College of Medicine · USThe University of Texas MD Anderson Cancer Center · US

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI DAVID R ROWLEY · 2007 to 2026
$73.9M
NCI NIH HHS P30 CA125123
6 · The paper itself

Abstract

RCAS avian viruses have been used to deliver oncogene expression and induce tumors in transgenic mice expressing the virus receptor TVA. Here we report the generation and characterization of a novel RCAS-Cre-IRES-PyMT (RCI-PyMT) virus designed to specifically knockout genes of interest in tumors generated in appropriate mutant mouse hosts. FGF receptor 1 (FGFR1) is a gene that is amplified in human breast cancer, but there have been no definitive studies on its function in mammary tumorigenesis, progression, and metastasis in vivo in spontaneous tumors in mice. We used the retroviral tumor knockout, or TuKO, strategy to delete fgfr1 in PyMT-induced mammary tumors in K19-tva/fgfr1

Indexed as

AnimalsBreast NeoplasmsCell Line, TumorEpithelial-Mesenchymal TransitionFemaleGene Expression Regulation, NeoplasticGene Transfer TechniquesHumansLung NeoplasmsMammary Neoplasms, AnimalMiceNeoplasm MetastasisReceptor, Fibroblast Growth Factor, Type 1RetroviridaeSequence DeletionFGFR1 protein, humanReceptor, Fibroblast Growth Factor, Type 1

Identifiers

PMID28433771
PMCPMC5402631
OpenAlexW2606629693

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.