Evidence map›Paper›PMID 33750326›Full record

ArticleBMC cancer2021

Comprehensive analysis of ceRNA networks reveals prognostic lncRNAs related to immune infiltration in colorectal cancer.

Jingyi Chen, Yuxuan Song, Mei Li, Yu Zhang, Tingru Lin, Jie Sun, Di Wang, Yulan Liu, Jingzhu Guo, Weidong Yu

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
7.3field-weighted citation impact, top 2% 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

34 citing papers in PubMed, 63 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

10 authors at 2 institutions in 1 country.

Jingyi ChenDepartment of Central Laboratory & Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, 100044, China.
Yuxuan SongDepartment of Urology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Mei LiDepartment of Central Laboratory & Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, 100044, China.
Yu ZhangDepartment of Central Laboratory & Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, 100044, China.
Tingru LinDepartment of Central Laboratory & Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, 100044, China.
Jie SunDepartment of Central Laboratory & Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, 100044, China.
Di WangDepartment of Central Laboratory & Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, 100044, China.
Yulan LiuDepartment of Gastroenterology, Peking University People's Hospital, Beijing, 100044, China.
Jingzhu Guo *Department of Paediatrics, Peking University People's Hospital, Beijing, 100044, China. gjzhxx@sina.com.
Weidong Yu *Department of Central Laboratory & Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, 100044, China. weidongyu@bjmu.edu.cn.ORCID http://orcid.org/0000-0002-7573-4979
Peking University · CNTianjin Medical University General Hospital · CN

Funding

National Natural Science Foundation of China 30872923National Natural Science Foundation of China 81672853
6 · The paper itself

Abstract

backgroundCompeting endogenous RNA (ceRNA) represents a class of RNAs (e.g., long noncoding RNAs [lncRNAs]) with microRNA (miRNA) binding sites, which can competitively bind miRNA and inhibit its regulation of target genes. Increasing evidence has underscored the involvement of dysregulated ceRNA networks in the occurrence and progression of colorectal cancer (CRC). The purpose of this study was to construct a ceRNA network related to the prognosis of CRC and further explore the potential mechanisms that affect this prognosis.

methodsRNA-Seq and miRNA-Seq data from The Cancer Genome Atlas (TCGA) were used to identify differentially expressed lncRNAs (DElncRNAs), microRNAs (DEmiRNAs), and mRNAs (DEmRNAs), and a prognosis-related ceRNA network was constructed based on DElncRNA survival analysis. Subsequently, pathway enrichment, Pearson correlation, and Gene Set Enrichment Analysis (GSEA) were performed to determine the function of the genes in the ceRNA network. Gene Expression Profiling Interactive Analysis (GEPIA) and immunohistochemistry (IHC) were also used to validate differential gene expression. Finally, the correlation between lncRNA and immune cell infiltration in the tumor microenvironment was evaluated based on the CIBERSORT algorithm.

resultsA prognostic ceRNA network was constructed with eleven key survival-related DElncRNAs (MIR4435-2HG, NKILA, AFAP1-AS1, ELFN1-AS1, AC005520.2, AC245884.8, AL354836.1, AL355987.4, AL591845.1, LINC02038, and AC104823.1), 54 DEmiRNAs, and 308 DEmRNAs. The MIR4435-2HG- and ELFN1-AS1-associated ceRNA subnetworks affected and regulated the expression of the COL5A2, LOX, OSBPL3, PLAU, VCAN, SRM, and E2F1 target genes and were found to be related to prognosis and tumor-infiltrating immune cell types.

conclusionsMIR4435-2HG and ELFN1-AS1 are associated with prognosis and tumor-infiltrating immune cell types and could represent potential prognostic biomarkers or therapeutic targets in colorectal carcinoma.

Indexed as

Colorectal NeoplasmsGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyGene Regulatory NetworksHumansImmunohistochemistryMicroRNAsNerve Tissue ProteinsPrognosisProtein Interaction MapsRNA, Long NoncodingRNA, MessengerTumor MicroenvironmentELFN1 protein, humanMicroRNAsMIR4435-2HG long non-coding RNA, humanNerve Tissue ProteinsRNA, Long NoncodingRNA, MessengerceRNA networkCRCImmune infiltrationlncRNAPrognosis

Identifiers

PMID33750326
PMCPMC7941714
OpenAlexW3138637891

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.