Evidence map›Paper›PMID 34819106›Full record

ArticleBiomedical engineering online2021

Identification of a novel prognosis-associated ceRNA network in lung adenocarcinoma via bioinformatics analysis.

Yumiao Li, Xiaoxue Yu, Yuhao Zhang, Xiaofang Wang, Linshan Zhao, Dan Liu, Guofa Zhao, Xiangpeng Gao, Jiejun Fu, Aimin Zang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Biomedical engineering online, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 34% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  3. Role ofTranslational lung cancer research · 2024
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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

11 authors at 3 institutions in 1 country.

Yumiao Li *Department of Medical Oncology, Affiliated Hospital of Hebei University, Hebei Key Laboratory of Cancer Radiotherapy and Chemotherapy, 212 Yuhua East Road, Baoding, 071000, Hebei, People's Republic of China.
Xiaoxue Yu *College of Clinical Medicine, Hebei University, Hebei Key Laboratory of Cancer Radiotherapy and Chemotherapy, Baoding, 071000, Hebei, People's Republic of China.
Yuhao ZhangCollege of Clinical Medicine, Hebei University, Hebei Key Laboratory of Cancer Radiotherapy and Chemotherapy, Baoding, 071000, Hebei, People's Republic of China.
Xiaofang WangDepartment of Medical Oncology, Affiliated Hospital of Hebei University, Hebei Key Laboratory of Cancer Radiotherapy and Chemotherapy, 212 Yuhua East Road, Baoding, 071000, Hebei, People's Republic of China.
Linshan ZhaoCollege of Clinical Medicine, Hebei University, Hebei Key Laboratory of Cancer Radiotherapy and Chemotherapy, Baoding, 071000, Hebei, People's Republic of China.
Dan LiuCollege of Clinical Medicine, Hebei University, Hebei Key Laboratory of Cancer Radiotherapy and Chemotherapy, Baoding, 071000, Hebei, People's Republic of China.
Guofa ZhaoDepartment of Medical Oncology, Affiliated Hospital of Hebei University, Hebei Key Laboratory of Cancer Radiotherapy and Chemotherapy, 212 Yuhua East Road, Baoding, 071000, Hebei, People's Republic of China.
Xiangpeng GaoCollege of Clinical Medicine, Hebei University, Hebei Key Laboratory of Cancer Radiotherapy and Chemotherapy, Baoding, 071000, Hebei, People's Republic of China.
Jiejun FuKey Laboratory of Longevity and Aging-Related Diseases of Chinese Ministry of Education, Guangxi Medical University, Nanning, 530021, Guangxi, People's Republic of China.
Aimin ZangDepartment of Medical Oncology, Affiliated Hospital of Hebei University, Hebei Key Laboratory of Cancer Radiotherapy and Chemotherapy, 212 Yuhua East Road, Baoding, 071000, Hebei, People's Republic of China.
Youchao JiaDepartment of Medical Oncology, Affiliated Hospital of Hebei University, Hebei Key Laboratory of Cancer Radiotherapy and Chemotherapy, 212 Yuhua East Road, Baoding, 071000, Hebei, People's Republic of China. youchaojia@163.com.ORCID http://orcid.org/0000-0001-9191-5836
Affiliated Hospital of Hebei University · CNHebei University · CNGuangxi University · CN

Funding

The Hebei Province Government Foundation for Clinical Medical Talent Training and Basic Research Projects 361007The Key Scientific Research Fund Project of the Affiliated Hospital of Hebei University 2015Z005The Outstanding Young Scientific Research and Innovation Team of Hebei University 605020521007The Youth Scientific Research Fund Project of the Affiliated Hospital of Hebei University 2017Q002
6 · The paper itself

Abstract

backgroundLung adenocarcinoma (LUAD) is the most common subtype of nonsmall-cell lung cancer (NSCLC) and has a high incidence rate and mortality. The survival of LUAD patients has increased with the development of targeted therapeutics, but the prognosis of these patients is still poor. Long noncoding RNAs (lncRNAs) play an important role in the occurrence and development of LUAD. The purpose of this study was to identify novel abnormally regulated lncRNA-microRNA (miRNA)-messenger RNA (mRNA) competing endogenous RNA (ceRNA) networks that may suggest new therapeutic targets for LUAD or relate to LUAD prognosis.

methodsWe used the SBC human ceRNA array V1.0 to screen for differentially expressed (DE) lncRNAs and mRNAs in four paired LUAD samples. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to annotate the DE lncRNAs and mRNAs. R bioinformatics packages, The Cancer Genome Atlas (TCGA) LUAD database, and Kaplan-Meier (KM) survival analysis tools were used to validate the microarray data and construct the lncRNA-miRNA-mRNA ceRNA regulatory network. Then, quantitative real-time PCR (qRT-PCR) was used to validate the DE lncRNAs in 7 LUAD cell lines.

resultsA total of 2819 DE lncRNAs and 2396 DE mRNAs (P < 0.05 and fold change ≥ 2 or ≤ 0.5) were identified in four paired LUAD tissue samples. In total, 255 of the DE lncRNAs were also identified in TCGA. The GO and KEGG analysis results suggested that the DE genes were most enriched in angiogenesis and cell proliferation, and were closely related to human cancers. Moreover, the differential expression of ENST00000609697, ENST00000602992, and NR_024321 was consistent with the microarray data, as determined by qRT-PCR validation in 7 LUAD cell lines; however, only ENST00000609697 was associated with the overall survival of LUAD patients (log-rank P = 0.029). Finally, through analysis of ENST00000609697 target genes, we identified the ENST00000609697-hsa-miR-6791-5p-RASL12 ceRNA network, which may play a tumor-suppressive role in LUAD.

conclusionENST00000609697 was abnormally expressed in LUAD. Furthermore, downregulation of ENST00000609697 and its target gene RASL12 was associated with poor prognosis in LUAD. The ENST00000609697-hsa-miR-6791-5p-RASL12 axis may play a tumor-suppressive role. These results suggest new potential prognostic and therapeutic biomarkers for LUAD.

Indexed as

Adenocarcinoma of LungLung NeoplasmsBiomarkers, TumorComputational BiologyGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansPrognosisBiomarkers, TumorBiomarkerCeRNALncRNAsLung adenocarcinomaPrognosis

Identifiers

PMID34819106
PMCPMC8611860
OpenAlexW3196619077

What OpenQuestion holds

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LicenceCC BY
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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.