Evidence map›Paper›PMID 34475758›Full record

ArticleTherapeutics and clinical risk management2021

Identification of Hub Gene TIMP1 and Relative ceRNAs Regulatory Network in Colorectal Cancer.

Ya-Fei Qin, Guang-Ming Li, Grace Wang, De-Jun Kong, Hong-Da Wang, Yi-Ming Zhao, Jing-Peng Hao, Hong Qin, Da-Qing Sun, Hao Wang

Open access · goldAbstract read
In one paragraph

Article in Therapeutics and clinical risk management, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 59% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 2 countries.

Ya-Fei QinDepartment of General Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Guang-Ming LiDepartment of General Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Grace WangFaculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
De-Jun KongDepartment of General Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Hong-Da WangDepartment of General Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Yi-Ming ZhaoDepartment of General Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Jing-Peng HaoDepartment of Anorectal Surgery, The Second Hospital of Tianjin Medical University, Tianjin, People's Republic of China.
Hong QinDepartment of General Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Da-Qing SunDepartment of Pediatric Surgery, Tianjin Medical University, Tianjin, People's Republic of China.
Hao WangDepartment of General Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Tianjin Medical University General Hospital · CNTianjin Medical University · CNUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to discover the ceRNAs network in the pathophysiological development of human colorectal cancer (CRC) and to screen biomarkers for target therapy and prognosis by using integrated bioinformatics analysis.

methodsData on gene expressions of mRNAs, miRNAs, and circRNAs and clinical information were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus databases, respectively. Differentially expressed mRNAs (DEmRNAs) were identified by using the DESeq2 package of R software. Functional enrichment analysis was conducted using the ClusterProfiler package of R software. The protein-protein interaction (PPI) network was shown by the STRING website. Survival analysis of hub genes was performed using the survival package in R software. Interactions among hub genes, differentially expressed miRNAs (DEmiRNAs), and differentially expressed circRNAs (DEcircRNAs) were used to construct the ceRNAs network.

resultsA total of 412 DEmRNAs including 82 upregulated and 330 downregulated genes were screened out between 473 CRC and 41 normal samples. Two hundred and sixty DEcircRNAs including 253 upregulated and 7 downregulated genes were altered between 23 CRC and 23 normal samples. One hundred and ninety DEmiRNAs including 82 upregulated and 108 downregulated genes were obtained between 450 CRC and 8 normal samples. A ceRNAs and PPI network were successfully constructed, and TIMP1 associated with prognosis was employed.

conclusionThe present study identified a novel circRNAs-miRNAs-mRNA ceRNAs network, which implied that TIMP1 and related miRNAs, circRNAs were potential biomarkers underlying the development of CRC, providing new insights for survival predictions and therapeutic targets.

Indexed as

bioinformatic analysisceRNAscircRNAscolorectal cancerTIMP1

Identifiers

PMID34475758
PMCPMC8407779
OpenAlexW3116529476

What Socratic 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 Socratic graph.