Evidence map›Paper›PMID 35836846›Full record

ArticleAmerican journal of translational research2022

miRNA-612 suppresses ovarian cancer cell tumorigenicity by downregulating NOB1.

Zhikun Shi, Xu Zhou, Meijing Bao, Rongxia Jia, Yuqing Chu, Yang Lin

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 61% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. International journal of breast cancer · 2026
    Article
  2. Article
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

6 authors at 1 institution in 1 country.

Zhikun ShiDepartment of Gynecology and Obstetrics, The Second Hospital of Jilin University Changchun 130041, Jilin, China.
Xu ZhouDepartment of Gynecology and Obstetrics, The Second Hospital of Jilin University Changchun 130041, Jilin, China.
Meijing BaoDepartment of Gynecology and Obstetrics, The Second Hospital of Jilin University Changchun 130041, Jilin, China.
Rongxia JiaDepartment of Gynecology and Obstetrics, The Second Hospital of Jilin University Changchun 130041, Jilin, China.
Yuqing ChuDepartment of Gynecology and Obstetrics, The Second Hospital of Jilin University Changchun 130041, Jilin, China.
Yang LinDepartment of Gynecology and Obstetrics, The Second Hospital of Jilin University Changchun 130041, Jilin, China.
Second Affiliated Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) play crucial roles in cancer progression. Our previous study demonstrated that NIN1/RPN12 binding protein 1 homolog (NOB1) was a functional regulator in the progression of ovarian cancer (OC). However, the role of miRNA-612 (miR-612) in OC has not been elucidated. In this study, we aimed to investigate the regulatory mechanism of NOB1 targeting miRNA, miR-612, in OC tumorigenicity. The miR-612 expression was down-regulated in OC patient tissues and four OC cell lines (Caov3, A2780, SKOV3 and OVCAR3). The miR-612 level was negatively correlated with NOB1 expression, and dual-luciferase reporter assay indicated that miR-612 suppressed NOB1 expression by targeting the 3'UTR of NOB1 transcript. Up-regulation of miR-612 mediated by lentiviral transduction suppressed cell proliferation, colony formation, migration, invasion, and induced apoptosis in OC cell lines. In addition, miR-612 overexpression inhibited tumor growth of OC

Indexed as

miR-612NOB1Ovarian cancertumorigenicity

Identifiers

PMID35836846
PMCPMC9274555
OpenAlexW4285614538

What OpenQuestion holds

Textmetadata
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.