Evidence map›Paper›PMID 31709182›Full record

ArticleFrontiers in oncology2019

Bioinformatic Identification of miR-622 Key Target Genes and Experimental Validation of the miR-622-RNF8 Axis in Breast Cancer.

Chuanyang Liu, Lu Min, Jingyu Kuang, Chushu Zhu, Xin-Yuan Qiu, Lingyun Zhu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 49 citations in OpenAlex.

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  8. Comprehensive Analysis of hsa-miR-654-5p's Tumor-Suppressing Functions.International journal of molecular sciences · 2022
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  11. Knockoff boosted tree for model-free variable selection.Bioinformatics (Oxford, England) · 2021
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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

6 authors at 1 institution in 1 country.

Chuanyang LiuDepartment of Biology and Chemistry, College of Liberal Arts and Sciences, National University of Defense Technology, Changsha, China.
Lu MinDepartment of Biology and Chemistry, College of Liberal Arts and Sciences, National University of Defense Technology, Changsha, China.
Jingyu KuangDepartment of Biology and Chemistry, College of Liberal Arts and Sciences, National University of Defense Technology, Changsha, China.
Chushu ZhuDepartment of Biology and Chemistry, College of Liberal Arts and Sciences, National University of Defense Technology, Changsha, China.
Xin-Yuan QiuDepartment of Biology and Chemistry, College of Liberal Arts and Sciences, National University of Defense Technology, Changsha, China.
Lingyun ZhuDepartment of Biology and Chemistry, College of Liberal Arts and Sciences, National University of Defense Technology, Changsha, China.
National University of Defense Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the leading cause of cancer-associated deaths among females. In recent decades, microRNAs (miRNAs), a type of short non-coding RNA that regulates gene expression at the post-transcription level, have been reported to participate in the regulation of many hub genes associated with tumorigenesis, tumor progression, and metastasis. However, the precise mechanism by which miRNAs regulate breast cancer metastasis remains poorly discussed, which limits the opportunity for the development of novel, effective therapeutic targets. Here, we aimed to determine the miR-622-related principal regulatory mechanism in cancer. First, we found that miR-622 was significantly related to a poor prognosis in various cancers. By utilizing an integrated miRNA prediction process, we identified 77 promising targets and constructed a protein-protein interaction network. Furthermore, enrichment analyses, including GO and KEGG pathway analyses, were performed to determine the potential function of miR-622, which revealed regulation networks and potential functions of miR-622. Then, we identified a key cluster comprised of six hub genes in the protein-protein interaction network. These genes were further chosen for pan-cancer expression, prognostic and predictive marker analyses based on the TCGA and GEO datasets to mine the potential clinical values of these hub genes. To further validate our bioinformatic results, the regulatory axis of miR-622 and RNF8, one of the hub genes recently reported to promote breast cancer cell EMT process and breast cancer metastasis, was selected as

Indexed as

bioinformaticsbreast cancerEMTmiR-622-RNF8 axismiRNA targets

Identifiers

PMID31709182
PMCPMC6819436
OpenAlexW2981928812

What OpenQuestion holds

Textmetadata
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.