Evidence map›Paper›PMID 35896973›Full record

ArticleBMC molecular and cell biology2022

lncRNA ACTA2-AS1 predicts malignancy and poor prognosis of triple-negative breast cancer and regulates tumor progression via modulating miR-532-5p.

Yi Peng, Xiaoxi Huang, Hongmei Wang

Open access · goldAbstract read
In one paragraph

Article in BMC molecular and cell biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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.

Yi PengDepartment of Breast Surgery, Fujian Provincial Maternity and Children's Hospital, 18 Dao Shan Road, Gulou District, Fuzhou, 350001, China. pengyi831010@163.com.
Xiaoxi HuangDepartment of Breast Surgery, Fujian Provincial Maternity and Children's Hospital, 18 Dao Shan Road, Gulou District, Fuzhou, 350001, China.
Hongmei WangDepartment of Breast Surgery, Fujian Provincial Maternity and Children's Hospital, 18 Dao Shan Road, Gulou District, Fuzhou, 350001, China.
Fujian Women and Children Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDysregulation of ACTA2-AS1 and miR-532-5p and their functions in various cancers have been widely reported. Their potential of serving as biomarkers in triple-negative breast cancer (TNBC) remains unknown. This study aimed to evaluate the function of ACTA2-AS1 and miR-532-5p and their potential of serving as biomarkers in TNBC.

resultsThe TNBC tissues were collected from 119 patients, where the reduced level of ACTA2-AS1 and increased level of miR-532-5p were observed by PCR and showed a significantly negative correlation (P <  0.001). Both ACTA2-AS1 and miR-532-5p were closely associated with the malignant development and poor prognosis of TNBC patients. Moreover, in TNBC cell, overexpressing ACTA2-AS1 was found to suppress cell proliferation and metastasis, which was reversed by the upregulation of miR-532-5p.

conclusionsACTA2-AS1 and miR-532-5p could act as biomarkers of TNBC predicting the progression and prognosis of patients. ACTA2-AS1 served as a tumor suppressor of TNBC which was mediated by miR-532-5p.

Indexed as

MicroRNAsRNA, Long NoncodingTriple Negative Breast NeoplasmsActinsCell Line, TumorGene Expression Regulation, NeoplasticHumansACTA2 protein, humanActinsMicroRNAsMIRN532 microRNA, humanRNA, Long NoncodingDevelopmentlncRNA ACTA2-AS1miR-532-5pPrognosisTriple-negative breast cancer

Identifiers

PMID35896973
PMCPMC9327331
OpenAlexW4288724481

What OpenQuestion holds

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LicenceCC BY
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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.