Evidence map›Paper›PMID 32767507›Full record

ArticleThe Kaohsiung journal of medical sciences2020

The anti-infection drug furazolidone inhibits NF-κB signaling and induces cell apoptosis in small cell lung cancer.

Jin-Guo Yu, Cheng-Hong Ji, Min-Hua Shi

Open access · goldAbstract read
In one paragraph

Article in The Kaohsiung journal of medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

6 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

3 authors at 1 institution in 1 country.

Jin-Guo YuDepartment of Respiratory Medicine, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Cheng-Hong JiDepartment of Respiratory Medicine, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Min-Hua ShiDepartment of Respiratory Medicine, The Second Affiliated Hospital of Soochow University, Suzhou, China.ORCID https://orcid.org/0000-0002-6826-6353
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeting nuclear factor kappa B (NF-κB) signaling pathway has become a promising strategy for the development of new antitumor drugs. In this paper, we found that anti-infection drug furazolidone (FZD) could significantly inhibit NF-κB-driven luciferase activity, and FZD could markedly inhibit both of the constitutive and tumor necrosis factor-α (TNFα)-triggered phosphorylation of NF-κB p65 in small cell lung cancer (SCLC). Further studies revealed that FZD inhibited the expression of inhibitor of kappa B kinase β (IKKβ) in SCLC cells. In addition, we found that FZD had significant antitumor activities in SCLC cells. FZD could markedly suppress the cell viability of SCLC cells dose-dependently, and FZD could significantly induce the cleavages of poly ADP-ribose polymerase (PARP) and Caspase3, the biomarkers of cell apoptosis, in SCLC cells. The flow cytometry also revealed that FZD induced cell apoptosis in SCLC cells. Finally, we also found that overexpression of constitutively activated IKKβ could significantly abolish FZD-induced cell growth inhibition in SCLC cells, which further confirmed that FZD displayed its anti-SCLC activity through regulating NF-κB signaling pathway.

Indexed as

ApoptosisSignal TransductionAnti-Infective AgentsCell Line, TumorCell ProliferationCell SurvivalFurazolidoneHumansI-kappa B KinaseLung NeoplasmsNF-kappa BSmall Cell Lung CarcinomaAnti-Infective AgentsFurazolidoneI-kappa B KinaseNF-kappa Bcell apoptosisfurazolidoneIKKβNF-κBsmall cell lung cancer

Identifiers

PMID32767507
PMCPMC11896496
OpenAlexW3047795449

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.