Evidence map›Paper›PMID 33178836›Full record

ArticleBioMed research international2020

Independent Prognostic Potential of GNPNAT1 in Lung Adenocarcinoma.

Xiangyu Zheng, Yongwei Li, Chao Ma, Jinjun Zhang, Yanmin Zhang, Zongqiang Fu, Huan Luo

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed, 28 citations in OpenAlex.

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  14. International journal of general medicine · 2022
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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

7 authors at 1 institution in 1 country.

Xiangyu ZhengDepartment of Laboratory Medicine, The Second Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.
Yongwei LiDepartment of Laboratory Medicine, The Second Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.ORCID https://orcid.org/0000-0002-1527-2629
Chao MaCharité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and The Berlin Institute of Health, Berlin, Germany.ORCID https://orcid.org/0000-0003-1444-4668
Jinjun ZhangDepartment of Laboratory Medicine, The Second Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.
Yanmin ZhangDepartment of Laboratory Medicine, The Second Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.
Zongqiang FuDepartment of Laboratory Medicine, The Second Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.
Huan LuoCharité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and The Berlin Institute of Health, Berlin, Germany.
Humboldt-Universität zu Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlucosamine-Phosphate N-Acetyltransferase 1 (GNPNAT1) is a critical enzyme in the biosynthesis of uridine diphosphate-N-acetylglucosamine. It has many important functions, such as protein binding, monosaccharide binding, and embryonic development and growth. However, the role of GNPNAT1 in lung adenocarcinoma (LUAD) remains unclear.

methodsIn this study, we explored the expression pattern and prognostic value of GNPNAT1 in LUAD across TCGA and GEO databases and assessed its independent prognostic value via Cox analysis. LinkedOmics and GEPIA2 were applied to investigate coexpression and functional networks associated with GNPNAT1. The TIMER web tool was deployed to assess the correlation between GNPNAT1 and the main six types of tumor-infiltrating immune cells. Besides, the correlations between GNPNAT1 and the LUAD common genetic mutations, TMB, and immune signatures were examined.

resultsGNPNAT1 was validated upregulated in tumor tissues in TCGA-LUAD and GEO cohorts. Moreover, in both TCGA and GEO cohorts, high GNPNAT1 expression was found to be associated with poor overall survival. Cox analysis showed that high GNPNAT1 expression was an independent risk factor for LUAD. Functional network analysis suggested that GNPNAT1 regulates cell cycle, ribosome, proteasome, RNA transport, and spliceosome signaling through pathways involving multiple cancer-related kinases and E2F family. In addition, GNPNAT1 correlated with infiltrating levels of B cells, CD4+ T cells, and dendritic cells. B cells and dendritic cells could predict the outcome of LUAD, and B cells and CD4+ T cells were significant independent risk factors. The TMB and mutations of KRAS, EGFR, STK11, and TP53 were correlated with GNPNAT1. At last, the correlation analysis showed GNPNAT1 correlated with most of the immune signatures we performed.

conclusionOur findings showed that GNPNAT1 was correlated to the prognosis and immune infiltration of LUAD. In particular, the tight relationship between GNPNAT1 and B cell marker genes may be the epicenter of the immune response and one of the key factors affecting the prognosis. Our findings laid the foundation for further research on the immunomodulatory role of GNPNAT1 in LUAD.

Indexed as

Adenocarcinoma of LungAgedBiomarkers, TumorB-LymphocytesCohort StudiesFemaleGene Expression Regulation, EnzymologicGene Expression Regulation, NeoplasticGene Regulatory NetworksGlucosamine 6-Phosphate N-AcetyltransferaseHumansKaplan-Meier EstimateLung NeoplasmsMaleMiddle AgedMultivariate AnalysisBiomarkers, TumorGlucosamine 6-Phosphate N-AcetyltransferaseGNPNAT1 protein, humanNeoplasm Proteins

Identifiers

PMID33178836
PMCPMC7648248
OpenAlexW3094849795

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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.