Evidence map›Paper›PMID 35611168›Full record

ArticlePeerJ2022

Potential and functional prediction of six circular RNAs as diagnostic markers for colorectal cancer.

Li Yuan Liu, Dan Jiang, Yuliang Qu, Hongxia Wang, Yanting Zhang, Shaoqi Yang, Xiaoliang Xie, Shan Wu, Haijin Zhou, Guangxian Xu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Li Yuan Liu *School of Clinical Medicine, The Third Affiliated Hospital of Ningxia Medical University, Ningxia Medical University, Yinchuan, Ningxia, China.
Dan Jiang *School of Clinical Medicine, The Third Affiliated Hospital of Ningxia Medical University, Ningxia Medical University, Yinchuan, Ningxia, China.
Yuliang QuSchool of Clinical Medicine, The Third Affiliated Hospital of Ningxia Medical University, Ningxia Medical University, Yinchuan, Ningxia, China.
Hongxia WangSchool of Clinical Medicine, The Third Affiliated Hospital of Ningxia Medical University, Ningxia Medical University, Yinchuan, Ningxia, China.
Yanting ZhangSchool of Clinical Medicine, The Third Affiliated Hospital of Ningxia Medical University, Ningxia Medical University, Yinchuan, Ningxia, China.
Shaoqi YangSchool of Clinical Medicine, The Third Affiliated Hospital of Ningxia Medical University, Ningxia Medical University, Yinchuan, Ningxia, China.
Xiaoliang XieSchool of Clinical Medicine, The Third Affiliated Hospital of Ningxia Medical University, Ningxia Medical University, Yinchuan, Ningxia, China.
Shan WuSchool of Clinical Medicine, The Third Affiliated Hospital of Ningxia Medical University, Ningxia Medical University, Yinchuan, Ningxia, China.
Haijin ZhouGuangdong Provincial Key Laboratory of Medical Molecular Diagnostics, School of Medical Technology, Institute of Clinical Laboratory, Guangdong Medical University, Dongguan, Guangdong, China.
Guangxian XuSchool of Clinical Medicine, The Third Affiliated Hospital of Ningxia Medical University, Ningxia Medical University, Yinchuan, Ningxia, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Circular RNAs (circRNAs) have been discovered in colorectal cancer (CRC), but there are few reports on the expression distribution and functional mining analysis of circRNAs. Methods: Differentially expressed circRNAs in CRC tissues and adjacent normal tissues were screened and identified by microarray and qRT-PCR. ROC curves of the six circRNAs were analyzed. A series of bioinformatics analyses on differentially expressed circRNAs were performed. Results: A total of 207 up-regulated and 357 down-regulated circRNAs in CRC were screened, and three top up-regulated and down-regulated circRNAs were chosen to be verified in 33 pairs of CRCs by qRT-PCR. 6 circRNAs showed high diagnostic values (AUC = 0.6860, AUC = 0.8127, AUC = 0.7502, AUC = 0.9945, AUC = 0.9642, AUC = 0.9486 for hsa_circRNA_100833, hsa_circRNA_103828, hsa_circRNA_103831 and hsa_circRNA_103752, hsa_circRNA_071106, hsa_circRNA_102293). A circRNA-miRNA-mRNA regulatory network (cirReNET) including six candidate circRNAs, 19 miRNAs and 210 mRNA was constructed, and the functions of the cirReNET were predicted and displayed via Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses on these mRNAs and protein-protein interaction (PPI) network of the hub genes acquired by string and CytoHubba. Conclusion: A cirReNET containing potential diagnostic and predictive indicators of CRCs and several critical circRNA-miRNA-mRNA regulatory axes (cirReAXEs) in CRC were mined, and may provide a novel route to study the mechanism and clinical targets of CRC.

Indexed as

Biomarkers, TumorColorectal NeoplasmsMicroRNAsRNA, CircularHumansProtein Interaction MapsRNA, MessengerBiomarkers, TumorMicroRNAsRNA, CircularRNA, MessengerBioinformatic analysescircRNAcircRNA-miRNA-mRNA regulatory network (cirReNET)Colorectal cancerMicroarray

Identifiers

PMID35611168
PMCPMC9124462

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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 OpenQuestion graph.