Evidence map›Paper›PMID 30777071›Full record

ArticleJournal of translational medicine2019

A two-circular RNA signature as a noninvasive diagnostic biomarker for lung adenocarcinoma.

Xiao-Xia Liu, Yi-E Yang, Xiao Liu, Meng-Yu Zhang, Rui Li, Yun-Hong Yin, Yi-Qing Qu

Abstract read
In one paragraph

Article in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 2 pooled it
–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

64 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Circular RNAs as biomarkers for lung cancer.Non-coding RNA research · 2023
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4 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Xiao-Xia LiuDepartment of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, 250012, China.
Yi-E YangDepartment of Clinical Laboratory, Qianfoshan Hospital of Shandong Province, Jinan, 250014, China.
Xiao LiuDepartment of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, 250012, China.
Meng-Yu ZhangDepartment of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, 250012, China.
Rui LiDepartment of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, 250012, China.
Yun-Hong YinDepartment of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, 250012, China.
Yi-Qing QuDepartment of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, 250012, China. quyiqing@sdu.edu.cn.ORCID 0000-0002-9538-7601

Funding

Major Scientific and Technological Innovation Project of Shandong Province 2018CXGC1212Medical and Health Technology Innovation Plan of Ji'nan City 201805002National Natural Science Foundation of China 81372333Science and Technology Foundation of Shandong Province 2014GSF118084Science and Technology Foundation of Shandong Province 2016GSF121043
6 · The paper itself

Abstract

backgroundRecently, circular RNAs (circRNAs) have been reported to be microRNA sponges and play essential roles in cancer development. This study aimed to evaluate whether circulating circRNAs could be used as diagnostic biomarkers for lung adenocarcinoma (LUAD).

methodsThe Gene Expression Omnibus (GEO) dataset was used to investigate differentially expressed circRNAs (DEcircRNAs) in paired LUAD tissues and adjacent nontumor tissues. The expression levels of the host genes were analyzed in The Cancer Genome Atlas (TCGA)-LUAD dataset, and the prognostic value was assessed using the Kaplan-Meier plotter. Quantitative real-time PCR (qRT-PCR) was performed to validate the expression of candidate circRNAs in the LUAD plasma and cells. The CCK8 assay was used to measure the function of circRNAs in cell proliferation. Competing endogenous RNA (ceRNA) network, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to predict the possible mechanisms and functions of circRNAs in LUAD.

resultsTwo upregulated and two downregulated circRNAs were identified as candidate circRNAs using bioinformatics analysis. qRT-PCR demonstrated that hsa_circ_0005962 was upregulated in LUAD plasma and cells, whereas hsa_circ_0086414 was downregulated. Receiver operating characteristic (ROC) curve analysis confirmed that a signature comprising the two circRNAs had good diagnostic potential, with an area under the ROC curve (AUC) of 0.81 (P < 0.0001). In addition, we observed that overexpression of plasma hsa_circ_0086414 was related to EGFR mutations (P = 0.001). Plasma hsa_circ_0005962 displayed significantly different expression before and after surgery in patients with LUAD (P < 0.0001). In vitro experiments suggested that hsa_circ_0005962 promoted LUAD cell proliferation. For future studies, we predicted the circRNA-miRNA-mRNA network for hsa_circ_0005962. Bioinformatics analysis revealed that hsa_circ_0005962 might be involved in LUAD development.

conclusionA circRNA signature was identified as a potential noninvasive biomarker for LUAD diagnosis.

Indexed as

Adenocarcinoma of LungBiomarkersCase-Control StudiesCell Line, TumorCell ProliferationFemaleGene Expression Regulation, NeoplasticGene OntologyGene Regulatory NetworksHumansLung NeoplasmsMaleMiddle AgedReproducibility of ResultsRNA, CircularROC CurveBiomarkersRNA, CircularBiomarkerCircRNADiagnosisHsa_circ_0005962Hsa_circ_0086414LUADPlasma

Identifiers

PMID30777071
PMCPMC6380039

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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.