Evidence map›Paper›PMID 29187890›Full record

ArticleJournal of Cancer2017

Decreased KPNB1 Expression is Induced by PLK1 Inhibition and Leads to Apoptosis in Lung Adenocarcinoma.

Noboru Sekimoto, Yutaka Suzuki, Sumio Sugano

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.9field-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

17 citing papers in PubMed, 29 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

3 authors at 1 institution in 1 country.

Noboru SekimotoDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Minato-ku, Tokyo 108-8639, Japan.
Yutaka SuzukiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba 277-8562, Japan.
Sumio SuganoDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Minato-ku, Tokyo 108-8639, Japan.
The University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is a major cause of death worldwide, with lung adenocarcinoma being the most frequently diagnosed subtype in Japan. Finding the target of an anticancer drug can improve lung adenocarcinoma treatments. Polo-like kinase 1 (PLK1) is an essential mitotic kinase in mitotic progression, and PLK1 inhibition induces cell cycle arrest and apoptosis in tumor cells. In addition, a variety of PLK1 inhibitors have been identified for cancer treatments. In this study, we looked for the target gene of the anticancer drug that has synergy with PLK1 inhibitors. We identified karyopherin beta 1 (KPNB1) as a possible target for lung adenocarcinoma treatment. We found that PLK1 inhibition decreased KPNB1 expression in lung adenocarcinoma cells and KPNB1 depletion inhibited cell proliferation via apoptosis. The same apoptosis signaling pathway may be activated because the expression of common apoptosis-related genes was decreased by PLK1 and KPNB1 silencing; however, the time course of cell growth inhibition was somewhat different. Cell cycle analysis showed that KPNB1 depletion increased the proportion of cells at the G0/G1 phase, although cells also accumulated at the G2/M phase in PLK1-depleted cells. Our findings suggest that decreased KPNB1 expression may be associated with the apoptosis induced by PLK1 inhibition.

Indexed as

Apoptosis.KPNB1Lung adenocarcinomaPLK1

Identifiers

PMID29187890
PMCPMC5706017
OpenAlexW2768312021

What OpenQuestion holds

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Registered trials

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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.