Evidence map›Paper›PMID 28865443›Full record

ArticleBMC bioinformatics2017

Investigating MicroRNA and transcription factor co-regulatory networks in colorectal cancer.

Hao Wang, Jiamao Luo, Chun Liu, Huilin Niu, Jing Wang, Qi Liu, Zhongming Zhao, Hua Xu, Yanqing Ding, Jingchun Sun and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 50 citations in OpenAlex.

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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

11 authors at 4 institutions in 2 countries.

Hao WangDepartment of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Jiamao LuoDepartment of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Chun LiuDepartment of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Huilin NiuDepartment of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Jing WangCenter for Quantitative Sciences, Vanderbilt University School of Medicine, Nashville, TN, 37232, USA.
Qi LiuCenter for Quantitative Sciences, Vanderbilt University School of Medicine, Nashville, TN, 37232, USA.
Zhongming ZhaoSchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Hua XuSchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Yanqing DingDepartment of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Jingchun SunSchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA. jingchun.sun@uth.tmc.edu.
Qingling ZhangDepartment of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China. zqllc8@fimmu.com.
Southern Medical University · CNThe University of Texas Health Science Center at Houston · USNanfang Hospital · CNVanderbilt University · US

Funding

MicroRNA and Transcription Factor Co-regulation in CancerR21CA196508 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ZHAO, ZHONGMING · 2016 to 2017
$368k
NCI NIH HHS R21 CA196508
6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is one of the most common malignancies worldwide with poor prognosis. Studies have showed that abnormal microRNA (miRNA) expression can affect CRC pathogenesis and development through targeting critical genes in cellular system. However, it is unclear about which miRNAs play central roles in CRC's pathogenesis and how they interact with transcription factors (TFs) to regulate the cancer-related genes.

resultsTo address this issue, we systematically explored the major regulation motifs, namely feed-forward loops (FFLs), that consist of miRNAs, TFs and CRC-related genes through the construction of a miRNA-TF regulatory network in CRC. First, we compiled CRC-related miRNAs, CRC-related genes, and human TFs from multiple data sources. Second, we identified 13,123 3-node FFLs including 25 miRNA-FFLs, 13,005 TF-FFLs and 93 composite-FFLs, and merged the 3-node FFLs to construct a CRC-related regulatory network. The network consists of three types of regulatory subnetworks (SNWs): miRNA-SNW, TF-SNW, and composite-SNW. To enhance the accuracy of the network, the results were filtered by using The Cancer Genome Atlas (TCGA) expression data in CRC, whereby we generated a core regulatory network consisting of 58 significant FFLs. We then applied a hub identification strategy to the significant FFLs and found 5 significant components, including two miRNAs (hsa-miR-25 and hsa-miR-31), two genes (ADAMTSL3 and AXIN1) and one TF (BRCA1). The follow up prognosis analysis indicated all of the 5 significant components having good prediction of overall survival of CRC patients.

conclusionsIn summary, we generated a CRC-specific miRNA-TF regulatory network, which is helpful to understand the complex CRC regulatory mechanisms and guide clinical treatment. The discovered 5 regulators might have critical roles in CRC pathogenesis and warrant future investigation.

Indexed as

Gene Expression Regulation, NeoplasticGene Regulatory NetworksColorectal NeoplasmsHumansMicroRNAsTranscription FactorsTranscription, GeneticMicroRNAsTranscription FactorsColorectal cancer (CRC)Feed-forward loops (FFLs)microRNARegulatory networkTranscription factor

Identifiers

PMID28865443
PMCPMC5581471
OpenAlexW2752065278

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.