Evidence map›Paper›PMID 31579577›Full record

ArticlePeerJ2019

Identification and characterization of circRNAs as competing endogenous RNAs for miRNA-mRNA in colorectal cancer.

Wenliang Yuan, Sihua Peng, Jingyu Wang, Cai Wei, Zhen Ye, Ye Wang, Meiliang Wang, Hao Xu, Shouwen Jiang, Dan Sun and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

31 citing papers in PubMed, 56 citations in OpenAlex.

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  11. Construction of endogenous RNA regulatory network for colorectal cancer based on bioinformatics.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2022
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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

13 authors at 4 institutions in 1 country.

Wenliang YuanKey Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Shanghai Ocean University, Shanghai, China.
Sihua PengKey Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Shanghai Ocean University, Shanghai, China.
Jingyu WangDepartment of Pathology, The First Affiliated Hospital of Jiaxing University, Jiaxing, China.
Cai WeiKey Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Shanghai Ocean University, Shanghai, China.
Zhen YeCollege of Engineering, Lishui University, Lishui, China.
Ye WangCollege of Engineering, Lishui University, Lishui, China.
Meiliang WangCollege of Engineering, Lishui University, Lishui, China.
Hao XuCollege of Engineering, Lishui University, Lishui, China.
Shouwen JiangKey Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Shanghai Ocean University, Shanghai, China.
Dan SunKey Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Shanghai Ocean University, Shanghai, China.
Chaoxu DaiKey Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Shanghai Ocean University, Shanghai, China.
Linhua JiangSchool of Optical-Electric and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Xiaobo LiCollege of Engineering, Lishui University, Lishui, China.
Lishui University · CNShanghai Ocean University · CNUniversity of Shanghai for Science and Technology · CNJiaxing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent studies showed that circRNAs are involved in the biological process of some human cancers. However, little is known about their functions in colorectal cancer (CRC).

methodsHere we first revealed the expression profiles of circRNAs in the CRC tissues and the adjacent non-tumorous tissues using high-throughput sequencing. The sequence feature, chromosome location, alternative splicing and other characteristics of the circRNAs were also explored. The miRNA and mRNA expression profiles were then obtained by analyzing relevant CRC data retrived from the TCGA database. We obtained and analyzed the competing endogenous RNA (ceRNA) network of the top three pairs of the largest up-regulated and down-regulated circRNAs.

resultsIn this study, we obtained 50,410 circRNAs in the CRC tissue and the adjacent non-tumor tissues, of which 33.7% (16,975) were new, and revealed differential changes in circRNA expression during colorectal carcinogenesis. We have identified six potential key circRNAs (circPIEZO1-3, hsa_circ_0067163, hsa_circ_0140188, hsa_circ_0002632, hsa_circ_0001998 and hsa_circ_0023990) associated with CRC, which play important roles in carcinogenesis as ceRNA for regulation of miRNA-mRNA network. In the subsequent KEGG analysis, several CRC-related pathways were found.

conclusionsOur findings advance the understanding of the pathogenesis of CRC from the perspective of circRNAs and provide some circRNAs as candidate diagnostic biomarkers or potential therapeutic targets.

Indexed as

ceRNA networkcircRNAsCRCHigh-throughput sequencingTCGA

Identifiers

PMID31579577
PMCPMC6754974
OpenAlexW2974575283

What OpenQuestion holds

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LicenceCC BY
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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.