Evidence map›Paper›PMID 34386930›Full record

ArticleMolecular biotechnology2021

MicroRNA-4458 Regulates PD-L1 Expression to Enhance Anti-tumor Immunity in NSCLC via Targeting STAT3.

Weixin Liu, Ruibao Liu, Ronghui Yuan, Xing Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 23 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

4 authors at 1 institution in 1 country.

Weixin LiuDepartment of Oncology, The People's Hospital of Dongying, No. 317, Nanyi Road, Dongcheng District, Dongying, 257091, Shandong, China.
Ruibao LiuDepartment of Oncology, The People's Hospital of Dongying, No. 317, Nanyi Road, Dongcheng District, Dongying, 257091, Shandong, China.
Ronghui YuanDepartment of Oncology, The People's Hospital of Dongying, No. 317, Nanyi Road, Dongcheng District, Dongying, 257091, Shandong, China.
Xing WangDepartment of Oncology, The People's Hospital of Dongying, No. 317, Nanyi Road, Dongcheng District, Dongying, 257091, Shandong, China. wangxingliuweixin@163.com.ORCID http://orcid.org/0000-0002-9062-9704
Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNA-4458 (miR-4458) has been reported to be associated with several cancers including non-small-cell lung cancer (NSCLC), while its role in tumor immunity remains unclear. The purpose of the current research was to explore the anti-tumor immunity of miR-4458 in NSCLC. The results showed that the expression level of miR-4458 decreased and STAT3 increased in NSCLC tissues and cells. For in vitro experiments, miR-4458 mimics suppressed cell proliferation and decreased the expression level of PD-L1. Moreover, STAT3 was confirmed as a target gene of miR-4458. Upregulation of STAT3 level ameliorated the inhibitive effects of miR-4458 on cells proliferation and PD-L1 expression in cells. For in vivo studies, overexpression of miR-4458 hindered tumor growth, decreased the proportion of PD-1

Indexed as

A549 CellsAnimalsB7-H1 AntigenCarcinoma, Non-Small-Cell LungCase-Control StudiesCell Line, TumorCell MovementCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansLung NeoplasmsMiceMicroRNAsNeoplasm TransplantationSTAT3 Transcription FactorB7-H1 AntigenCD274 protein, humanMicroRNAsMIRN-4458 microRNA, humanSTAT3 protein, humanSTAT3 Transcription FactorAnti-tumor immunitymiR-4458Non-small-cell lung cancerPD-L1STAT3

Identifiers

PMID34386930
OpenAlexW3190501804

What OpenQuestion holds

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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.