Evidence map›Paper›PMID 33955330›Full record

ArticleBioengineered2021

Comprehensive analysis of N6-methyladenosine -related long non-coding RNAs and immune cell infiltration in hepatocellular carcinoma.

Zhong Lin Yu, Zheng Ming Zhu

Abstract read
In one paragraph

Article in Bioengineered, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

17 citing papers in PubMed.

  1. mCancer cell international · 2025
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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

2 authors.

Zhong Lin YuDepartment of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.ORCID 0000-0003-4346-473X
Zheng Ming ZhuDepartment of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.ORCID 0000-0003-1078-9538

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to illustrate the influence of N6-methyladenosine (m6A) long non-coding RNAs (lncRNAs) and immune cell infiltration in hepatocellular carcinoma (HCC). The relationship of lncRNAs and m6A was identified through gene expression analysis using PERL and R packages. The Kyoto Encyclopedia of Genes and Genomes gene expression enrichment analysis was performed via gene set enrichment analysis. Lasso regression was utilized to construct prognostic model. Differences in the tumor microenvironment and the immune correlation were analyzed to clarify immune cell infiltration in different clusters and their correlation with the clinical prognosis. Co-expression analysis showed that lncRNA expression was associated closely with m6A. Many lncRNAs were predictive risk factors of prognosis in HCC. m6A-lncRNAs were partially highly expressed in tumor tissue and could be used in a prognostic model to predict HCC prognosis, independent of other clinical characteristics. 'NOTCH SIGNALING PATHWAY' was most significantly enriched according to GSEA. CKLF-like MARVEL transmembrane domain-containing member 3 (CMTM3) was overexpressed in tumor tissue. Immune cells, such as activated CD4 memory T cells, CD8 T cells, and follicular helper T cells, highly infiltrated tissues in cluster 2. All related scores were higher in cluster 2, indicating a lower purity of tumor cells and higher density of immune-related cells in the tumor microenvironment. m6A-lncRNAs are closely related to HCC occurrence and progression. Corresponding prognostic models can help predict HCC prognosis. m6A-lncRNAs and the related immune cell infiltration in the tumor microenvironment can provide novel therapeutic targets in HCC that need to be further studied.[Figure: see text].

Indexed as

AdenosineCarcinoma, HepatocellularGene Expression Regulation, NeoplasticHumansLiver NeoplasmsLymphocytes, Tumor-InfiltratingMultivariate AnalysisPrognosisReproducibility of ResultsRNA, Long NoncodingSurvival AnalysisTumor MicroenvironmentAdenosineN-methyladenosineRNA, Long NoncodingBioinformatics analysishepatocellular carcinomaimmune cell infiltrationlncRNAsn6-methyladenosine

Identifiers

PMID33955330
PMCPMC8806206

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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.