Evidence map›Paper›PMID 32784268›Full record

ArticleAging2021

Long noncoding RNA NR2F1-AS1 promotes the malignancy of non-small cell lung cancer via sponging microRNA-493-5p and thereby increasing ITGB1 expression.

Chan Zhang, Shangjie Wu, Rong Song, Changming Liu

RetractedOpen access · greenAbstract readRetracted Publication
In one paragraph

Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.1field-weighted citation impact, top 12% 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, 33 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Chan ZhangDepartment of Respiratory Medicine, The Second Xiangya Hospital of Central South University, Changsha 410000, Hunan, China.
Shangjie WuDepartment of Respiratory Medicine, The Second Xiangya Hospital of Central South University, Changsha 410000, Hunan, China.
Rong SongDepartment of Anesthesiology, The Second Xiangya Hospital of Central South University, Changsha 410000, Hunan, China.
Changming LiuDepartment of Infectious Diseases, The First Hospital of Changsha, Changsha 410000, Hunan, China.
Second Xiangya Hospital of Central South University · CNCentral South University · CNThe First Hospital of Changsha · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several studies have reported that the long noncoding ribonucleic acid (lncRNA) NR2F1 antisense RNA 1 (NR2F1-AS1) affects multiple cellular pathways that are involved in tumorigenesis and tumor progression. The present study aimed to detect NR2F1-AS1 expression in non-small cell lung cancer (NSCLC), investigate the role of NR2F1-AS1 in promoting the tumorigenic behavior of NSCLC cells, and elucidate the mechanism underlying the effect of NR2F1-AS1 on NSCLC progression. Our results showed that NR2F1-AS1 expression was upregulated in NSCLC cells, and notably, its upregulation was correlated with adverse clinical characteristics and shorter overall survival in patients with NSCLC. The absence of NR2F1-AS1 functionally decreased NSCLC cell proliferation, migration, and invasion and promoted tumor cell apoptosis. In addition, the tumor growth of NSCLC cells

Indexed as

AgedCarcinogenesisCarcinoma, Non-Small-Cell LungCOUP Transcription Factor IGene Expression Regulation, NeoplasticHumansIntegrin beta1Lung NeoplasmsMicroRNAsMiddle AgedRNA, Long NoncodingCOUP Transcription Factor IIntegrin beta1Itgb1 protein, humanMicroRNAsMIRN493 microRNA, humanNR2F1 protein, humanRNA, Long NoncodingceRNAmicroRNA-493-5pnon-small cell lung cancerNR2F1 antisense RNA 1

Identifiers

PMID32784268
PMCPMC7993723
OpenAlexW3048539715

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.