Evidence map›Paper›PMID 33193642›Full record

ArticleFrontiers in genetics2020

Establishment of a Colorectal Cancer-Related MicroRNA-mRNA Regulatory Network by Microarray and Bioinformatics.

Dan Jiang, Xiaoliang Xie, Zhenhui Lu, Liyuan Liu, Yuliang Qu, Shan Wu, Yanning Li, Guangqi Li, Hongxia Wang, Guangxian Xu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. The role and therapeutic value of NUSAP1 in human cancers.Journal of translational medicine · 2025
    Review
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  12. The Role of GPR15 Function in Blood and Vasculature.International journal of molecular sciences · 2021
    Review
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  14. 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

10 authors at 1 institution in 1 country.

Dan JiangSchool of Clinical Medicine, Ningxia Medical University, Yinchuan, China.
Xiaoliang XieSchool of Clinical Medicine, Ningxia Medical University, Yinchuan, China.
Zhenhui LuSchool of Clinical Medicine, Ningxia Medical University, Yinchuan, China.
Liyuan LiuSchool of Clinical Medicine, Ningxia Medical University, Yinchuan, China.
Yuliang QuSchool of Clinical Medicine, Ningxia Medical University, Yinchuan, China.
Shan WuSchool of Clinical Medicine, Ningxia Medical University, Yinchuan, China.
Yanning LiSchool of Clinical Medicine, Ningxia Medical University, Yinchuan, China.
Guangqi LiSchool of Clinical Medicine, Ningxia Medical University, Yinchuan, China.
Hongxia WangSchool of Clinical Medicine, Ningxia Medical University, Yinchuan, China.
Guangxian XuSchool of Clinical Medicine, Ningxia Medical University, Yinchuan, China.
Ningxia Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of the most malignant cancers with high morbidity and mortality. MicroRNAs (miRNAs) are small non-coding RNAs that affect biological processes by binding to mRNAs and regulating their expression, and epigenetic alterations including miRNA dysregulation are significantly involved in CRC development. Determining the effect of the miRNA-mRNA network on CRC could be helpful for developing novel therapeutic targets and prognostic biomarkers, and even improving survival. In this study, microarray assays were used to screen differentially expressed miRNAs (DE miRNAs) and mRNAs (DE mRNAs) in CRC and the adjacent normal tissues. Among the detected genes, 42 miRNAs and 142 mRNAs were significantly upregulated in CRC, while 23 miRNAs and 279 mRNAs were significantly downregulated. Through overlapping of predicted targets of DE miRNAs and anti-expressed DE mRNAs, networks of DE miRNAs and DE mRNAs in CRC were established. Additionally, the formation of a protein-protein interaction network of DE mRNAs possibly targeted by DE miRNAs, functional annotation and pathway analysis, stable subnetwork mining, and determination of hub genes provided the probable mechanism used by DE miRNAs and DE mRNAs to regulate CRC growth. Finally, validation of expression and prognostic potential of hub genes provided further support for the results above and indicated that CCL-28, GPR15, PNOC, NUSAP1, and their interacted miRNAs may be a potential signature for prognosis of CRC patients. In sum, we successfully established miRNA-mRNA regulatory networks based on microarray results targeting CRC, and these findings may elucidate the mechanisms used for CRC growth and identify miRNA-related signatures for prognosis and treatment of CRC.

Indexed as

bioinformatic analysiscolorectal cancermicroarraymicroRNAmRNA

Identifiers

PMID33193642
PMCPMC7644864
OpenAlexW3094444888

What OpenQuestion holds

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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.