Evidence map›Paper›PMID 30671385›Full record

ArticleFrontiers in oncology2018

Functional Blockade of Small GTPase RAN Inhibits Glioblastoma Cell Viability.

Kevin L Sheng, Kevin J Pridham, Zhi Sheng, Samy Lamouille, Robin T Varghese

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

15 citing papers in PubMed, 17 citations in OpenAlex.

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  13. International journal of molecular sciences · 2020
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  15. The association ofJournal of Cancer · 2020
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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

5 authors at 4 institutions in 1 country.

Kevin L ShengFralin Biomedical Research Institute at VTC, Roanoke, VA, United States.
Kevin J PridhamFralin Biomedical Research Institute at VTC, Roanoke, VA, United States.
Zhi ShengFralin Biomedical Research Institute at VTC, Roanoke, VA, United States.
Samy LamouilleFralin Biomedical Research Institute at VTC, Roanoke, VA, United States.
Robin T VargheseDepartment of Biological Affairs and Research, Edward Via College of Osteopathic Medicine, Blacksburg, VA, United States.
Biomedical Research Institute · USAtrium Health Wake Forest Baptist · USCarilion Clinic · USEdward Via College of Osteopathic Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma, the most common malignant tumor in the brain, lacks effective treatments and is currently incurable. To identify novel drug targets for this deadly cancer, the publicly available results of RNA interference screens from the Project Achilles database were analyzed. Ten candidate genes were identified as survival genes in 15 glioblastoma cell lines. RAN, member RAS oncogene family (RAN) was expressed in glioblastoma at the highest level among all candidates based upon cDNA microarray data. However, Kaplan-Meier survival analysis did not show any correlation between RAN mRNA levels and patient survival. Because RAN is a small GTPase that regulates nuclear transport controlled by karyopherin subunit beta 1 (KPNB1), RAN was further analyzed together with KPNB1. Indeed, GBM patients with high levels of RAN also had more KPNB1 and levels of KPNB1 alone did not relate to patient prognosis. Through a Cox multivariate analysis, GBM patients with high levels of RAN and KPNB1 showed significantly shorter life expectancy when temozolomide and promoter methylation of O

Indexed as

cell survivalglioblastomaglioblastoma prognosisglioblastoma treatmentimportazoleKPNB1RAN

Identifiers

PMID30671385
PMCPMC6331428
OpenAlexW2910571353

What OpenQuestion holds

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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.