Evidence map›Paper›PMID 32260198›Full record

ReviewInternational journal of molecular sciences2020

A Precision Strategy to Cure Renal Cell Carcinoma by Targeting Transglutaminase 2.

Soo-Youl Kim, Jeffrey W Keillor

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. 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
0.6field-weighted citation impact, top 28% 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, 10 citations in OpenAlex.

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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

2 authors at 2 institutions in 2 countries.

Soo-Youl KimDivision of Cancer Biology, National Cancer Center, Goyang 10408, Korea.
Jeffrey W KeillorDepartment of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada.ORCID 0000-0002-8133-6862
National Cancer Center · KRUniversity of Ottawa · CA

Funding

National Cancer Center of Korea 1910060-2
6 · The paper itself

Abstract

In a recent report, no significance of transglutaminase 2 (TGase 2) was noted in the analyses of expression differences between normal and clear cell renal cell carcinoma (ccRCC), although we found that knock down of TGase 2 induced significant p53-mediated cell death in ccRCC. Generally, to find effective therapeutic targets, we need to identify targets that belong specifically to a cancer phenotype that can be differentiated from a normal phenotype. Here, we offer precise reasons why TGase 2 may be the first therapeutic target for ccRCC, according to several lines of evidence. TGase 2 is negatively regulated by von Hippel-Lindau tumor suppressor protein (pVHL) and positively regulated by hypoxia-inducible factor 1-α (HIF-1α in renal cell carcinoma (RCC). Therefore, most of ccRCC presents high level expression of TGase 2 because over 90% of ccRCC showed

Indexed as

Antineoplastic AgentsCarcinoma, Renal CellDrug Resistance, NeoplasmGene Expression Regulation, NeoplasticGTP-Binding ProteinsHumansHypoxia-Inducible Factor 1, alpha SubunitKidney NeoplasmsMolecular Targeted TherapyPrecision MedicineProtein Glutamine gamma Glutamyltransferase 2TransglutaminasesTumor Suppressor Protein p53Von Hippel-Lindau Tumor Suppressor ProteinAntineoplastic AgentsGTP-Binding ProteinsHIF1A protein, humanHypoxia-Inducible Factor 1, alpha SubunitProtein Glutamine gamma Glutamyltransferase 2TP53 protein, humanTransglutaminasesTumor Suppressor Protein p53VHL protein, humanVon Hippel-Lindau Tumor Suppressor Proteinclear cell renal cell carcinoma (ccRCC)p53therapeutic targettransglutaminase 2 (TGase 2)

Identifiers

PMID32260198
PMCPMC7177245
OpenAlexW3014186444

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.