Evidence map›Paper›PMID 36059681›Full record

ArticleFrontiers in oncology2022

Expression and clinical value of circRNAs in serum extracellular vesicles for gastric cancer.

Ke Xiao, Shirong Li, Juan Ding, Zhen Wang, Ding Wang, Xiangting Cao, Yi Zhang, Zhaogang Dong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Review
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  11. Novel biomarkers for early detection of gastric cancer.World journal of gastroenterology · 2023
    Review
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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

8 authors.

Ke XiaoDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Shirong LiDepartment of Laboratory Medicine, Weifang People's Hospital, Weifang, China.
Juan DingDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Zhen WangDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Ding WangDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Xiangting CaoDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Yi ZhangDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Zhaogang DongDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: At present, there are still no effective diagnosis methods for gastric cancer (GC). Increasing evidences indicate that Extracellular Vesicle circular RNAs (EV circRNAs) play a crucial role in several diseases. However, their correlations with GC are not clarified. This study aims to investigate the expression profile of serum EV circRNAs in GC and evaluate its potential clinical value. Methods: High-throughput RNA sequencing (RNA-seq) was used to assess circRNA expression profiles between 4 patients with GC and 4 healthy controls. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were employed to determine the biological functions of differentially expressed (DE) circRNAs. A circRNA-miRNA-mRNA network was constructed using bioinformatics tools. Reverse transcription-quantitative polymerase chain reaction (RT-q)PCR was used to validate the dysregulated circRNAs. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic value of circRNAs for GC. Results: A total of 4692 circRNAs were detected in the serum EVs of healthy controls and patients with GC, most of which were novel (98%) and intergenic (52%). 7 circRNAs were upregulated and 4 circRNAs were downregulated (|log Conclusion: Our results illustrate that the panel of EV circRNAs in serum are aberrantly expressed and may act as the suitable biomarkers for gastric cancer.

Indexed as

biomarkercircRNAdiagnosisextracellular vesiclegastric cancer

Identifiers

PMID36059681
PMCPMC9428625

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