Evidence map›Paper›PMID 31524147›Full record

ArticleCancer biomarkers : section A of Disease markers2019

MiR-652 serves as a prognostic biomarker in gastric cancer and promotes tumor proliferation, migration, and invasion via targeting RORA.

Juncheng Li, Xiaoming Zou

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

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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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
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  5. Co-regulation of circadian clock genes and microRNAs in bone metabolism.Journal of Zhejiang University. Science. B · 2022
    Review
  6. Diagnosis value of miR-181, miR-652, and CA72-4 for gastric cancer.Journal of clinical laboratory analysis · 2022
    Article
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  11. Targets and regulation of microRNA-652-3p in homoeostasis and disease.Journal of molecular medicine (Berlin, Germany) · 2021
    Review
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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

2 authors.

Juncheng Li
Xiaoming Zou

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMicroRNAs (miRNAs) have been reported to be involved in tumorigenesis. The aim of this study was to investigate the functional role and prognostic value of miR-652 in gastric cancer (GC).

methodsQuantitative real-time polymerase chain reaction (qRT-PCR) was used to determine the expression levels of miR-652 in human GC tissue samples and GC cell lines. The Kaplan-Meier survival curves and Cox regression analysis were performed to measure the prognostic value of miR-652 in GC. The tumor cell proliferation capacity was estimated by MTT assay, and cell migration and invasion were assessed by Transwell assays. The luciferase reporter assay was performed to confirm the target gene of miR-652.

resultsMiR-652 was significantly elevated in GC tissues and cell lines (all P< 0.001). And the expression level of miR-652 was significantly associated with TNM stage and lymph node metastasis (all P< 0.05). GC patients with high expression of miR-652 had a shorter overall survival rate than those with low miR-652 expression (log-rank P< 0.001). The miR-652 and TNM stage were proven to be independent prognostic predictors for the GC patients. Overexpressing miR-652 could enhance cell proliferation, migration and invasion (all P< 0.01). RORA was proved to be the target gene of miR-652.

conclusionMiR-652 functions as an oncogene in GC and promotes tumor progression via targeting RORA. MiR-652 might be a novel predictive marker for the poor prognosis of GC patients.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkers, TumorCell Line, TumorCell MovementCell ProliferationFemaleHumansKaplan-Meier EstimateMaleMicroRNAsMiddle AgedNeoplasm InvasivenessNuclear Receptor Subfamily 1, Group F, Member 1PrognosisReal-Time Polymerase Chain ReactionStomach NeoplasmsBiomarkers, TumorMicroRNAsMIRN652 microRNA, humanNuclear Receptor Subfamily 1, Group F, Member 1RORA protein, humangastric cancerMicroRNA-652prognosisprogression

Identifiers

PMID31524147
PMCPMC12826413
OpenAlexW2972980488

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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.