Evidence map›Paper›PMID 27694896›Full record

ArticleOncogene2017

An in vivo screening system to identify tumorigenic genes.

T Ihara, Y Hosokawa, K Kumazawa, K Ishikawa, J Fujimoto, M Yamamoto, T Muramkami, N Goshima, E Ito, S Watanabe and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Oncogene, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

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  6. Hypoxia-inducible factor 1-dependent expression of adenosine receptor 2B promotes breast cancer stem cell enrichment.Proceedings of the National Academy of Sciences of the United States of America · 2018
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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

11 authors at 6 institutions in 1 country.

T IharaDepartment of Life Science and Medical Bioscience, School of Advanced Science and Engineering, Waseda University, Tokyo, Japan.
Y HosokawaDepartment of Life Science and Medical Bioscience, School of Advanced Science and Engineering, Waseda University, Tokyo, Japan.
K KumazawaDepartment of Life Science and Medical Bioscience, School of Advanced Science and Engineering, Waseda University, Tokyo, Japan.
K IshikawaJapan Biological Informatics Consortium (JBiC), Tokyo, Japan.
J FujimotoJapan Biological Informatics Consortium (JBiC), Tokyo, Japan.
M YamamotoDepartment of Life Science and Medical Bioscience, School of Advanced Science and Engineering, Waseda University, Tokyo, Japan.
T MuramkamiLaboratory of Tumor Biology, Faculty of Pharmacy, Takasaki University of Health and Welfare, Takasaki, Japan.
N GoshimaQuantitative Proteomics Team, Molecular Profiling Research Center for Drug Discovery (molprof), National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan.
E ItoDivision of Gene Expression Analysis, Fukushima, Japan.
S WatanabeDivision of Gene Expression Analysis, Fukushima, Japan.
K SembaDepartment of Life Science and Medical Bioscience, School of Advanced Science and Engineering, Waseda University, Tokyo, Japan.
Waseda University · JPFukushima University · JPJapan Biological Informatics Consortium · JPFukushima Medical University · JPNational Institute of Advanced Industrial Science and Technology · JPTakasaki University of Health and Welfare · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Screening for oncogenes has mostly been performed by in vitro transformation assays. However, some oncogenes might not exhibit their transforming activities in vitro unless putative essential factors from in vivo microenvironments are adequately supplied. Here, we have developed an in vivo screening system that evaluates the tumorigenicity of target genes. This system uses a retroviral high-efficiency gene transfer technique, a large collection of human cDNA clones corresponding to ~70% of human genes and a luciferase-expressing immortalized mouse mammary epithelial cell line (NMuMG-luc). From 845 genes that were highly expressed in human breast cancer cell lines, we focused on 205 genes encoding membrane proteins and/or kinases as that had the greater possibility of being oncogenes or drug targets. The 205 genes were divided into five subgroups, each containing 34-43 genes, and then introduced them into NMuMG-luc cells. These cells were subcutaneously injected into nude mice and monitored for tumor development by in vivo imaging. Tumors were observed in three subgroups. Using DNA microarray analyses and individual tumorigenic assays, we found that three genes, ADORA2B, PRKACB and LPAR3, were tumorigenic. ADORA2B and LPAR3 encode G-protein-coupled receptors and PRKACB encodes a protein kinase A catalytic subunit. Cells overexpressing ADORA2B, LPAR3 or PRKACB did not show transforming phenotypes in vitro, suggesting that transformation by these genes requires in vivo microenvironments. In addition, several clinical data sets, including one for breast cancer, showed that the expression of these genes correlated with lower overall survival rate.

Indexed as

OncogenesAnimalsCarcinogenesisCarcinogenicity TestsCell Line, TumorFemaleGene Expression Regulation, NeoplasticGenetic Association StudiesHeterograftsHumansMaleMiceMice, NudeNeoplasmsOligonucleotide Array Sequence AnalysisPhenotype

Identifiers

PMID27694896
OpenAlexW2527887165

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.