Evidence map›Paper›PMID 28675510›Full record

ArticleGenes, chromosomes & cancer2017

The co-regulatory networks of tumor suppressor genes, oncogenes, and miRNAs in colorectal cancer.

Martha L Slattery, Jennifer S Herrick, Lila E Mullany, Wade S Samowitz, John R Sevens, Lori Sakoda, Roger K Wolff

Open access · bronzeAbstract read
In one paragraph

Article in Genes, chromosomes & cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing 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

59 citing papers in PubMed, 92 citations in OpenAlex.

  1. Article
  2. PRDM Proteins Orchestrate Colorectal Cancer Tumorigenesis.International journal of molecular sciences · 2026
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  15. Strategy of combining CDK4/6 inhibitors with other therapies and mechanisms of resistance.International journal of clinical and experimental pathology · 2024
    Review
  16. [Silenced ANP32A inhibits the growth, invasion and migration of colorectal cancerNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023
    Article
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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

7 authors at 3 institutions in 1 country.

Martha L SlatteryDepartment of Medicine, University of Utah, Salt Lake City, Utah.ORCID 0000-0002-1655-6543
Jennifer S HerrickDepartment of Medicine, University of Utah, Salt Lake City, Utah.
Lila E MullanyDepartment of Medicine, University of Utah, Salt Lake City, Utah.ORCID 0000-0003-0936-5957
Wade S SamowitzDepartment of Pathology, University of Utah, Salt Lake City, Utah.
John R SevensDepartment of Mathematics and Statistics, Utah State University, Logan, Utah.
Lori SakodaKaiser Permanente Medical Research Program, Oakland, California.
Roger K WolffDepartment of Medicine, University of Utah, Salt Lake City, Utah.
University of Utah · USKaiser Permanente Oakland Medical Center · USUtah State University · US

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
NCI NIH HHS R01 CA048998NCI NIH HHS R01 CA163683
6 · The paper itself

Abstract

Tumor suppressor genes (TSGs) and oncogenes (OG) are involved in carcinogenesis. MiRNAs also contribute to cellular pathways leading to cancer. We use data from 217 colorectal cancer (CRC) cases to evaluate differences in TSGs and OGs expression between paired CRC and normal mucosa and evaluate how TSGs and OGs are associated with miRNAs. Gene expression data from RNA-Seq and miRNA expression data from Agilent Human miRNA Microarray V19.0 were used. We focus on genes most strongly associated with CRC (fold change (FC) of ≥1.5 or ≤0.67) that were statistically significant after adjustment for multiple comparisons. Of the 74 TSGs evaluated, 22 were associated with carcinoma/normal mucosa differential expression. Ten TSGs were up-regulated (FAM123B, RB1, TP53, RUNX1, MSH2, BRCA1, BRCA2, SOX9, NPM1, and RNF43); six TSGs were down-regulated (PAX5, IZKF1, GATA3, PRDM1, TET2, and CYLD); four were associated with MSI tumors (MLH1, PTCH1, and CEBPA down-regulated and MSH6 up-regulated); and two were associated with MSS tumors (PHF6 and ASXL1 up-regulated). Thirteen of these TSGs were associated with 44 miRNAs. Twenty-seven of the 59 OGs evaluated were dysregulated: 14 down-regulated (KLF4, BCL2, SSETBP1, FGFR2, TSHR, MPL, KIT, PDGFRA, GNA11, GATA2, FGFR3, AR, CSF1R, and JAK3), seven up-regulated (DNMT1, EZH2, PTPN11, SKP2, CCND1, MET, and MYC); three down-regulated for MSI (FLT3, CARD11, and ALK); two up-regulated for MSI (IDH2 and HRAS); and one up-regulated with MSS tumors (CTNNB1). These findings suggest possible co-regulatory function between TSGs, OGs, and miRNAs, involving both direct and indirect associations that operate through feedback and feedforward loops.

Indexed as

Gene Regulatory NetworksGenes, Tumor SuppressorOncogenesAdenocarcinomaAdultAgedCells, CulturedColorectal NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansKruppel-Like Factor 4MaleMicroRNAsMiddle AgedNucleophosminKLF4 protein, humanKruppel-Like Factor 4MicroRNAsNPM1 protein, humanNucleophosmin

Identifiers

PMID28675510
PMCPMC5597468
OpenAlexW2733317684

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.