Evidence map›Paper›PMID 34629892›Full record

ArticleInternational journal of general medicine2021

Identification of Prognostic Factors Related to Super Enhancer-Regulated ceRNA Network in Metastatic Lung Adenocarcinoma.

Mingjiang Li, Bo Yang, Xiaoping Li, Haixia Ren, Liang Zhang, Lei Li, Wei Li, Xuhui Wang, Honggang Zhou, Weidong Zhang

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. International journal of molecular sciences · 2024
    Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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.

Mingjiang LiDepartment of Thoracic Surgery, Tianjin First Central Hospital, Tianjin, People's Republic of China.ORCID 0000-0003-3681-0024
Bo YangDepartment of Thoracic Surgery, Tianjin First Central Hospital, Tianjin, People's Republic of China.
Xiaoping LiDepartment of Thoracic Surgery, Tianjin First Central Hospital, Tianjin, People's Republic of China.
Haixia RenDepartment of Pharmacy, Tianjin First Central Hospital, Tianjin, People's Republic of China.
Liang ZhangDepartment of Thoracic Surgery, Tianjin First Central Hospital, Tianjin, People's Republic of China.
Lei LiDepartment of Thoracic Surgery, Tianjin First Central Hospital, Tianjin, People's Republic of China.
Wei LiDepartment of Thoracic Surgery, Tianjin First Central Hospital, Tianjin, People's Republic of China.
Xuhui WangDepartment of Thoracic Surgery, Tianjin First Central Hospital, Tianjin, People's Republic of China.
Honggang ZhouCollege of Pharmacy, Nankai University, State Key Laboratory of Medicinal Chemical Biology, Tianjin, People's Republic of China.
Weidong ZhangDepartment of Thoracic Surgery, Tianjin First Central Hospital, Tianjin, People's Republic of China.ORCID 0000-0003-4149-7984
Tianjin First Center Hospital · CNNankai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe regulatory mechanisms of super enhancers (SEs) and ceRNA networks in LUAD progression are not well understood. We aimed to discover the prognostic-related ceRNA network regulated by SEs in metastatic LUAD.

methodsRNA-seq data were extracted from The Cancer Genome Atlas (TCGA) database. Differentially expressed (DE) RNAs were identified by edgeR. CeRNA network was predicted and visualized using starBase and Cytoscape. H3K27ac ChIP-seq data were derived from the Gene Expression Omnibus (GEO) database, and used for SE identification. Kaplan-Meier curve and multivariate Cox model were applied for prognostic analysis. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and protein-protein interaction (PPI) network were performed for functional analysis. SEs of AC074117.1 were verified by ChIP-qPCR in A549 and H1299 cells. MTT assay was performed to analyze cell proliferation. Luciferase activity assay was carried out to validate the target targeting relationships of ceRNA network.

resultsA total of 2355 DEmRNA, 483 DElncRNA and 155 DEmiRNA were identified between metastatic LUAD and adjacent normal tissues. CeRNA network consisting of 7 DElncRNAs, 18 DEmiRNAs and 15 DEmRNAs was constructed. Among the seven DElncRNAs in ceRNA network, only AC074117.1 was regulated by SEs. SE-regulated prognostic ceRNA sub-network consisting of FKBP3, E2F2, AC074117.1 and hsa-let-7c-5p was screened and verified. The overlapping co-expressed mRNAs of FKBP3, E2F2, AC074117.1 and hsa-let-7c-5p were mainly related to cell division and Fanconi anemia pathway. Genes in the ceRNA sub-network were correlated with DNA mismatch repair markers. Functional experiments proved that AC074117.1 was highly expressed in LUAD cells. AC074117.1 silencing notably inhibited proliferation of A549 and H1299 cells. Luciferase activity assay confirmed the direct relationship in AC074117.1-hsa-let-7c-5p-FKBP3/E2F2 network.

conclusionA novel prognostic ceRNA sub-network regulated by SEs was identified in metastatic LUAD. This study provided potential therapeutic targets and prognostic markers for further study of metastatic LUAD.

Indexed as

competitive endogenous RNAdifferentially expressed geneslung adenocarcinomaprognosissuper enhancer

Identifiers

PMID34629892
PMCPMC8493278
OpenAlexW3203145935

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.