Evidence map›Paper›PMID 29155705›Full record

ArticleJournal of visualized experiments : JoVE2017

Identification and Characterization of Metastatic Factors by Gene Transfer into the Novel RIP-Tag; RIP-tva Murine Model.

George Zhang, Yudan Chi, Yi-Chieh Nancy Du

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In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. RHAMMMolecular therapy oncolytics · 2021
    Article
  4. Article
  5. Article
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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

3 authors at 2 institutions in 1 country.

George ZhangDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine.
Yudan ChiDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine.
Yi-Chieh Nancy DuDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine; nad2012@med.cornell.edu.
Cornell University · USWeill Cornell Medicine · US

Funding

Beyond apoptosis, Bcl-xL in tumor metastasisR01CA204916 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI DU, YI-CHIEH NANCY · 2017 to 2021
$2.0M
NCI NIH HHS R01 CA204916
6 · The paper itself

Abstract

Metastatic cancer accounts for 90% of deaths in patients with solid tumors. There is an urgent need to better understand the drivers of cancer metastasis and to identify novel therapeutic targets. To investigate molecular events that drive the progression from primary cancer to metastasis, we have developed a bitransgenic mouse model, RIP-Tag; RIP-tva. In this mouse model, the rat insulin promoter (RIP) drives the expression of the SV40 T antigen (Tag) and the receptor for subgroup A avian leukosis virus (tva) in pancreatic β cells. The mice develop pancreatic neuroendocrine tumors with 100% penetrance through well-defined stages that are similar to human tumorigenesis, with stages including hyperplasia, angiogenesis, adenoma, and invasive carcinoma. Because RIP-Tag; RIP-tva mice do not develop metastatic disease, genetic alterations that promote metastasis can be identified easily. Somatic gene transfer into tva-expressing, proliferating pancreatic β premalignant lesions is achieved through intracardiac injection of avian retroviruses harboring the desired genetic alteration. A titer of >1 x 10

Indexed as

Gene Transfer TechniquesAnimalsAntigens, Polyomavirus TransformingAvian Leukosis VirusDisease Models, AnimalGenetic VectorsInsulinInsulin-Secreting CellsMiceMice, TransgenicNeoplasm MetastasisNeuroendocrine TumorsPancreatic NeoplasmsPrecancerous ConditionsPromoter Regions, GeneticAntigens, Polyomavirus TransformingInsulin

Identifiers

PMID29155705
PMCPMC5644377
OpenAlexW2766430661

What OpenQuestion holds

Textmetadata
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.