Evidence map›Paper›PMID 26422603›Full record

ArticlePloS one2015

Bioinformatics Analyses of the Role of Vascular Endothelial Growth Factor in Patients with Non-Small Cell Lung Cancer.

Ying Wang, Lu Huang, Shuqiang Wu, Yongshi Jia, Yunmei Yang, Limin Luo, Aihong Bi, Min Fang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 15 citations in OpenAlex.

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  7. Differentially expressed genesOncology letters · 2019
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  12. Predictive significance of combined LAPTM4B and VEGF expression in patients with cervical cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    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

8 authors at 3 institutions in 1 country.

Ying WangDepartment of Radiation Oncology, Zhejiang Provincial People's Hospital, Hangzhou, 310014, China.
Lu HuangDepartment of Orthopedics, the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Shuqiang WuDepartment of Radiation Oncology, Zhejiang Provincial People's Hospital, Hangzhou, 310014, China.
Yongshi JiaDepartment of Radiation Oncology, Zhejiang Provincial People's Hospital, Hangzhou, 310014, China.
Yunmei YangDepartment of Geriatrics, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China.
Limin LuoDepartment of Radiation Oncology, Zhejiang Provincial People's Hospital, Hangzhou, 310014, China.
Aihong BiDepartment of Radiation Oncology, Zhejiang Provincial People's Hospital, Hangzhou, 310014, China.
Min FangDepartment of Radiation Oncology, Zhejiang Provincial People's Hospital, Hangzhou, 310014, China.
Zhejiang Provincial People's Hospital · CNSecond Affiliated Hospital of Zhejiang University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study was aimed to identify the expression pattern of vascular endothelial growth factor (VEGF) in non-small cell lung cancer (NSCLC) and to explore its potential correlation with the progression of NSCLC.

methodsGene expression profile GSE39345 was downloaded from the Gene Expression Omnibus database. Twenty healthy controls and 32 NSCLC samples before chemotherapy were analyzed to identify the differentially expressed genes (DEGs). Then pathway enrichment analysis of the DEGs was performed and protein-protein interaction networks were constructed. Particularly, VEGF genes and the VEGF signaling pathway were analyzed. The sub-network was constructed followed by functional enrichment analysis.

resultsTotal 1666 up-regulated and 1542 down-regulated DEGs were identified. The down-regulated DEGs were mainly enriched in the pathways associated with cancer. VEGFA and VEGFB were found to be the initiating factor of VEGF signaling pathway. In addition, in the epidermal growth factor receptor (EGFR), VEGFA and VEGFB associated sub-network, kinase insert domain receptor (KDR), fibronectin 1 (FN1), transforming growth factor beta induced (TGFBI) and proliferating cell nuclear antigen (PCNA) were found to interact with at least two of the three hub genes. The DEGs in this sub-network were mainly enriched in Gene Ontology terms related to cell proliferation.

conclusionEGFR, KDR, FN1, TGFBI and PCNA may interact with VEGFA to play important roles in NSCLC tumorigenesis. These genes and corresponding proteins may have the potential to be used as the targets for either diagnosis or treatment of patients with NSCLC.

Indexed as

Computational BiologyCarcinoma, Non-Small-Cell LungGene Expression ProfilingHumansProtein Interaction MapsSignal TransductionVascular Endothelial Growth Factor AVascular Endothelial Growth Factor BVascular Endothelial Growth Factor AVascular Endothelial Growth Factor BVEGFA protein, humanVEGFB protein, human

Identifiers

PMID26422603
PMCPMC4589385
OpenAlexW2259144188

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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.