Evidence map›Paper›PMID 34801043›Full record

ArticleCancer cell international2021

Construction of circRNA-miRNA-mRNA network and identification of novel potential biomarkers for non-small cell lung cancer.

Jia Yang, Ran Hao, Yunlong Zhang, Haibin Deng, Wenjing Teng, Zhongqi Wang

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

19 citing papers in PubMed, 24 citations in OpenAlex.

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  7. Identification of Circular RNAs as Biomarker Candidates in Lung Cancer Treatment.Asian Pacific journal of cancer prevention : APJCP · 2024
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  8. Review
  9. Hsa_circ_0102899 promotes epithelial-mesenchymal transition in non-small cell lung cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Article
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  14. Review
  15. Pan-cancer analysis identifiesTranslational cancer research · 2022
    Article
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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

6 authors at 2 institutions in 1 country.

Jia Yang *Department of Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, 725 South of Wanping Road, Xuhui District, Shanghai, China.
Ran Hao *School of Nursing, Hebei Medical University, Shijiazhuang, Hebei, China.
Yunlong ZhangDepartment of Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, 725 South of Wanping Road, Xuhui District, Shanghai, China.
Haibin DengDepartment of Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, 725 South of Wanping Road, Xuhui District, Shanghai, China.
Wenjing TengDepartment of Oncology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China. teynalove@163.com.
Zhongqi WangDepartment of Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, 725 South of Wanping Road, Xuhui District, Shanghai, China. jiajiayy07@shutcm.edu.cn.ORCID http://orcid.org/0000-0002-2097-1782
Shanghai University of Traditional Chinese Medicine · CNHebei Medical University · CN

Funding

Hebei Key Research and Development Project 21377729DMedical Service and Support by Shanghai Administration of Traditional Chinese Medicine Z155080000004National Natural Science Foundation of China 81703855Natural Science Foundation of Hebei Province H2020206483Scientific Innovation Project of Shanghai Education Committee 2017-01-07-00-10-E00064Shanghai 13th Five-Year Clinical Key Discipline Construction Project shslczdzk03701the Clinical Research Plan of SHDC SHDC2020CR4050
6 · The paper itself

Abstract

backgroundThe underlying circular RNAs (circRNAs)-related competitive endogenous RNA (ceRNA) mechanisms of pathogenesis and prognosis in non-small cell lung cancer (NSCLC) remain unclear.

methodsDifferentially expressed circRNAs (DECs) in two Gene Expression Omnibus datasets (GSE101684 and GSE112214) were identified by utilizing R package (Limma). Circinteractome and StarBase databases were used to predict circRNA associated-miRNAs and mRNAs, respectively. Then, protein-protein interaction (PPI) network of hub genes and ceRNA network were constructed by STRING and Cytoscape. Also, analyses of functional enrichment, genomic mutation and diagnostic ROC were performed. TIMER database was used to analyze the association between immune infiltration and target genes. Kaplan-Meier analysis, cox regression and the nomogram prediction model were used to evaluate the prognostic value of target genes. Finally, the expression of potential circRNAs and target genes was validated in cell lines and tissues by quantitative real-time PCR (qRT-PCR) and Human Protein Atlas (HPA) database.

resultsIn this study, 15 DECs were identified between NSCLC tissues and adjacent-normal tissues in two GEO datasets. Following the qRT-PCR corroboration, 7 DECs (hsa_circ_0002017, hsa_circ_0069244, hsa_circ_026337, hsa_circ_0002346, hsa_circ_0007386, hsa_circ_0008234, hsa_circ_0006857) were dramatically downregulated in A549 and SK-MES-1 compared with HFL-1 cells. Then, 12 circRNA-sponged miRNAs were screened by Circinteractome and StarBase, especially, hsa-miR-767-3p and hsa-miR-767-5p were significantly up-regulated and relevant to the prognosis. Utilizing the miRDB and Cytoscape, 12 miRNA-target genes were found. Functional enrichment, genomic mutation and diagnostic analyses were also performed. Among them, FNBP1, AKT3, HERC1, COL4A1, TOLLIP, ARRB1, FZD4 and PIK3R1 were related to the immune infiltration via TIMER database. The expression of ARRB1, FNBP1, FZD4, and HERC1 was correlated with poor overall survival (OS) in NSCLC patients by cox regression and nomogram. Furthermore, the hub-mRNAs were validated in cell lines and tissues.

conclusionWe constructed the circRNA-miRNA-mRNA network that might provide novel insights into the pathogenesis of NSCLC and reveal promising immune infiltration and prognostic biomarkers.

Indexed as

ceRNA networkcircRNAImmune infiltrationNon-small cell lung cancerPrognosis

Identifiers

PMID34801043
PMCPMC8605517
OpenAlexW3215533292

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Registered trials

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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.