Evidence map›Paper›PMID 34021858›Full record

ArticleGenes & genomics2021

Genomic analysis of nuclear receptors and miRNAs identifies a role for the NR3C1/miR-200 axis in colon cancer.

Yun-Yong Park

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Genes & genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 58% 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, 2 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Yun-Yong ParkDepartment of Life Science, College of Natural Science, Daejin University, Pocheon, 11159, Republic of Korea. yunyong.park@gmail.com.
Daejin University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNuclear receptors (NRs) are crucial transcription factors involved in cell proliferation, metabolism and homeostasis. Through the development of novel genomic approaches, unknown NR functions have recently been uncovered. NR networks derived from gene expression profiles revealed that NRs are tightly linked to human disease and that targeting these links could provide new therapeutic options. MicroRNAs (miRNAs) have known functions as transcriptional regulators of NR function.

objectiveI attempted to construct an NR-miRNA transcriptional network based on genomic data from human cancer.

methodsI performed comprehensive analysis with genomic data. Correlation, clustering and survival analysis were done to identify the NR and miRNA correlation in cancer.

resultsCorrelation analysis of genomic data revealed relationships between the expression levels of several NRs and miRNAs in human cancer. Based on my NR-miRNA correlation data, I found that NR3C1 expression was highly correlated with that of miR-200 in colon cancer. In most cases, miRNAs suppress expression of their target genes. Thus, miRNAs function as negative regulators during transcription. My analysis revealed that the miR-200 expression level is negatively correlated with that of NR3C1, demonstrating that miR-200 is a negative regulator of NR3C1 in colon cancer. It is known that miR-200 is a master regulator of EMT and that NR3C1 has a link with an EMT marker.

conclusionsOverall, my genomic analysis revealed that the NR3C1 expression level is correlated with that of miR-200 and that this functional relationship might contribute to colon cancer cell survival. Modulating this axis could be a promising target for treating colon cancer patients.

Indexed as

Cell Line, TumorCell ProliferationCell SurvivalColonic NeoplasmsGene Expression Regulation, NeoplasticGene Regulatory NetworksGenomicsHomeostasisHumansMicroRNAsReceptors, GlucocorticoidTranscriptomeMicroRNAsMIRN200 microRNA, humanNR3C1 protein, humanReceptors, GlucocorticoidColon cancerGenomic analysismiRNANuclear receptor

Identifiers

PMID34021858
OpenAlexW3160920411

What OpenQuestion holds

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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.