Evidence map›Paper›PMID 32468960›Full record

ArticleTechnology in cancer research & treatment

Integrated Profiling Revealed Potential Regulatory Networks Among Long Noncoding RNAs and mRNAs in Mucosal Gastric Cancer.

Ke-Kang Sun, Xiao-Jun Shen, Dong Yang, Yang Jiao, Xiao-Yang Wu

Open access · goldAbstract read
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 63% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Pan-cancer analysis and oncogenic implications ofJournal of cell communication and signaling · 2025
    Article
  2. 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

5 authors at 2 institutions in 1 country.

Ke-Kang SunDepartment of Gastrointestinal Surgery, Clinical Medical College of Jiangsu University, Affiliated Kunshan Hospital to Jiangsu University, Kunshan Jiangsu, China.
Xiao-Jun ShenDepartment of Gastrointestinal Surgery, Clinical Medical College of Jiangsu University, Affiliated Kunshan Hospital to Jiangsu University, Kunshan Jiangsu, China.
Dong YangDepartment of Gastrointestinal Surgery, Clinical Medical College of Jiangsu University, Affiliated Kunshan Hospital to Jiangsu University, Kunshan Jiangsu, China.
Yang JiaoSchool of Radiation Medicine and Protection, Medical College of Soochow University, Suzhou Jiangsu, China.
Xiao-Yang WuDepartment of Gastrointestinal Surgery, Clinical Medical College of Jiangsu University, Affiliated Kunshan Hospital to Jiangsu University, Kunshan Jiangsu, China.ORCID 0000-0001-6597-4525
Jiangsu University · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer is one of the most commonly occurring cancers worldwide. Investigation of long noncoding RNAs is of increasing interest, particularly in relation to their contribution to progression and prognosis of gastric cancers; however, insufficient studies been performed investigating the part of long noncoding RNAs play in gastric cancer carcinogenesis. Patterns of dysregulated long noncoding RNA and messenger RNA between mucosa gastric cancer and adjacent normal tissues were identified using long noncoding RNAs microarray analysis. Quantitative real-time polymerase chain reaction was conducted as a means to verify the obtained data. Both Gene Ontology and Kyoto Encyclopedia of Genes and Genomes  (KEGG) pathway analyses were subsequently used to investigate the function of dysregulated long noncoding RNAs and messenger RNAs. Cis and trans action was used to predict the possible targets of long noncoding RNAs, and a coexpression network was created to simulate the complex intergenic interactions. Ninety-five dysregulated long noncoding RNAs and 123 messenger RNAs were identified, and quantitative real-time polymerase chain reaction was used to validate 6 filtered long noncoding RNAs. Gene Ontology and KEGG pathway analyses identified several remarkably biological processes and signaling pathways, including spliceosome, RNA transport, and ubiquitin-mediated proteolysis. The transcriptional factors MYC, GABPA, and E2F1 were found to play a central function in the long noncoding RNAs process, as indicated by the coexpression network. This study revealed the dysregulated long noncoding RNA profiles of mucosal gastric cancer. The results shed light on the biological function of long noncoding RNAs in gastric cancer pathogenesis. This provides useful information for exploring potential early screening biomarkers in gastric cancer.

Indexed as

Gene Regulatory NetworksBiomarkers, TumorGastric MucosaGene Expression ProfilingGene Expression Regulation, NeoplasticHumansRNA, Long NoncodingRNA, MessengerStomach NeoplasmsBiomarkers, TumorRNA, Long NoncodingRNA, Messengerexpression profileslong noncoding RNA (lncRNA)mucosal gastric cancer

Identifiers

PMID32468960
PMCPMC7268121
OpenAlexW3032389142

What Socratic holds

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LicenceCC BY-NC
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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.