Evidence map›Paper›PMID 28690395›Full record

ArticleCancer informatics2017

An Assessment of Database-Validated microRNA Target Genes in Normal Colonic Mucosa: Implications for Pathway Analysis.

Martha L Slattery, Jennifer S Herrick, John R Stevens, Roger K Wolff, Lila E Mullany

Abstract read
In one paragraph

Article in Cancer informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

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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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Dysregulated genes and miRNAs in the apoptosis pathway in colorectal cancer patients.Apoptosis : an international journal on programmed cell death · 2018
    Article
  6. Article
  7. Article
  8. Article
  9. 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

5 authors.

Martha L SlatteryDepartment of Internal Medicine, The University of Utah, Salt Lake City, UT, USA.
Jennifer S HerrickDepartment of Internal Medicine, The University of Utah, Salt Lake City, UT, USA.
John R StevensDepartment of Mathematics & Statistics, Utah State University, Logan, UT, USA.
Roger K WolffDepartment of Internal Medicine, The University of Utah, Salt Lake City, UT, USA.
Lila E MullanyDepartment of Internal Medicine, The University of Utah, Salt Lake City, UT, USA.

Funding

DIET, ACTIVITY &REPRODUCTION--RISKS FOR RECTAL CANCERR01CA048998 · NCI · UNIVERSITY OF UTAH · PI SLATTERY, MARTHA L · 1991 to 2012
$7.9M
miRNA and colorectal cancer: associations with tumor phenotype and survivalR01CA163683 · NCI · UNIVERSITY OF UTAH · PI SLATTERY, MARTHA L · 2012 to 2017
$6.5M
DIET, ACTIVITY &REPRODUCTION--RISKS FOR RECTAL CANCERU01CA048998 · NCI · UNIVERSITY OF UTAH · PI SLATTERY, MARTHA OR MARTY L · 1997 to 1999
–
NCI NIH HHS R01 CA048998NCI NIH HHS R01 CA163683NCI NIH HHS U01 CA048998
6 · The paper itself

Abstract

backgroundDetermination of functional pathways regulated by microRNAs (miRNAs), while an essential step in developing therapeutics, is challenging. Some miRNAs have been studied extensively; others have limited information. In this study, we focus on 254 miRNAs previously identified as being associated with colorectal cancer and their database-identified validated target genes.

methodsWe use RNA-Seq data to evaluate messenger RNA (mRNA) expression for 157 subjects who also had miRNA expression data. In the replication phase of the study, we replicated associations between 254 miRNAs associated with colorectal cancer and mRNA expression of database-identified target genes in normal colonic mucosa. In the discovery phase of the study, we evaluated expression of 18 miR-NAs (those with 20 or fewer database-identified target genes along with miR-21-5p, miR-215-5p, and miR-124-3p which have more than 500 database-identified target genes) with expression of 17 434 mRNAs to identify new targets in colon tissue. Seed region matches between miRNA and newly identified targeted mRNA were used to help determine direct miRNA-mRNA associations.

resultsFrom the replication of the 121 miRNAs that had at least 1 database-identified target gene using mRNA expression methods, 97.9% were expressed in normal colonic mucosa. Of the 8622 target miRNA-mRNA associations identified in the database, 2658 (30.2%) were associated with gene expression in normal colonic mucosa after adjusting for multiple comparisons. Of the 133 miRNAs with database-identified target genes by non-mRNA expression methods, 97.2% were expressed in normal colonic mucosa. After adjustment for multiple comparisons, 2416 miRNA-mRNA associations remained significant (19.8%). Results from the discovery phase based on detailed examination of 18 miRNAs identified more than 80 000 miRNA-mRNA associations that had not previously linked to the miRNA. Of these miRNA-mRNA associations, 15.6% and 14.8% had seed matches for CRCh38 and CRCh37, respectively.

conclusionsOur data suggest that miRNA target gene databases are incomplete; pathways derived from these databases have similar deficiencies. Although we know a lot about several miRNAs, little is known about other miRNAs in terms of their targeted genes. We encourage others to use their data to continue to further identify and validate miRNA-targeted genes.

Indexed as

biasColon cancerfunctionalitymiRNARNA-Seq

Identifiers

PMID28690395
PMCPMC5484592

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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.