Evidence map›Paper›PMID 26840709›Full record

ArticleBrazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica2016

Gene expression profiling analysis of lung adenocarcinoma.

H Xu, J Ma, J Wu, L Chen, F Sun, C Qu, D Zheng, S Xu

Open access · goldAbstract read
In one paragraph

Article in Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

29 citing papers in PubMed, 43 citations in OpenAlex.

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  9. A novel 12-gene signature as independent prognostic model in stage IA and IB lung squamous cell carcinoma patients.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
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  19. Profiling the Mutational Landscape in Known Driver Genes and Novel Genes in African American Non-Small Cell Lung Cancer Patients.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019
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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 2 institutions in 1 country.

H XuDepartment of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China.
J MaDepartment of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China.
J WuDepartment of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China.
L ChenDepartment of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China.
F SunDepartment of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China.
C QuDepartment of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China.
D ZhengDepartment of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China.
S XuDepartment of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China.
Third Affiliated Hospital of Harbin Medical University · CNHarbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study screened potential genes related to lung adenocarcinoma, with the aim of further understanding disease pathogenesis. The GSE2514 dataset including 20 lung adenocarcinoma and 19 adjacent normal tissue samples from 10 patients with lung adenocarcinoma aged 45-73 years was downloaded from Gene Expression Omnibus. Differentially expressed genes (DEGs) between the two groups were screened using the t-test. Potential gene functions were predicted using functional and pathway enrichment analysis, and protein-protein interaction (PPI) networks obtained from the STRING database were constructed with Cytoscape. Module analysis of PPI networks was performed through MCODE in Cytoscape. In total, 535 upregulated and 465 downregulated DEGs were identified. These included ATP5D, UQCRC2, UQCR11 and genes encoding nicotinamide adenine dinucleotide (NADH), which are mainly associated with mitochondrial ATP synthesis coupled electron transport, and which were enriched in the oxidative phosphorylation pathway. Other DEGs were associated with DNA replication (PRIM1, MCM3, and RNASEH2A), cell surface receptor-linked signal transduction and the enzyme-linked receptor protein signaling pathway (MAPK1, STAT3, RAF1, and JAK1), and regulation of the cytoskeleton and phosphatidylinositol signaling system (PIP5K1B, PIP5K1C, and PIP4K2B). Our findings suggest that DEGs encoding subunits of NADH, PRIM1, MCM3, MAPK1, STAT3, RAF1, and JAK1 might be associated with the development of lung adenocarcinoma.

Indexed as

Gene Regulatory NetworksAdenocarcinomaAdenocarcinoma of LungAgedDown-RegulationFemaleGene Expression ProfilingHumansLung NeoplasmsMaleMicrofilament ProteinsMiddle AgedMitogen-Activated Protein Kinase 1NADProtein Interaction MapsProto-Oncogene Proteins c-rafEPB41L3 protein, humanMAPK1 protein, humanMicrofilament ProteinsMitogen-Activated Protein Kinase 1NADProto-Oncogene Proteins c-raf

Identifiers

PMID26840709
PMCPMC4763816
OpenAlexW2287433631

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.