Evidence map›Paper›PMID 31131446›Full record

ArticleJournal of cellular physiology2019

Systematic analysis of differentially methylated expressed genes and site-specific methylation as potential prognostic markers in head and neck cancer.

Guohui Bai, Jukun Song, Yiwen Yuan, Zhu Chen, Yuan Tian, Xinhai Yin, Yuming Niu, Jianguo Liu

Abstract read
In one paragraph

Article in Journal of cellular physiology, 2019. 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
–field-weighted citation impact
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.

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  11. PAX9 in Cancer Development.International journal of molecular sciences · 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

8 authors.

Guohui BaiZunyi Medical University, Zunyi, Guizhou, China.
Jukun SongDepartment of Oral and Maxillofacial Surgery, Guizhou Provincial People's Hospital, Guizhou, China.ORCID 0000-0003-2542-9340
Yiwen YuanGuizhou Medical Univerisity, Guizhou, China.
Zhu ChenGuiyang Hospital of Stomatology, Guizhou, China.
Yuan TianStomatology Colledge Affiliated to Zunyi Medical University, Zunyi, Guizhou, China.
Xinhai YinDepartment of Oral and Maxillofacial Surgery, Guizhou Provincial People's Hospital, Guizhou, China.
Yuming NiuDepartment of Stomatology and Center for Evidence-Based Medicine and Clinical Research, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Jianguo LiuZunyi Medical University, Zunyi, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Head and neck cancer (HNC) remains one of the most malignant tumors with a significantly high mortality. DNA methylation exerts a vital role in the prognosis of HNC. In this study, we try to screen abnormal differential methylation genes (DMGs) and pathways in Head-Neck Squamous Cell Carcinoma via integral bioinformatics analysis. Data of gene expression microarrays and gene methylation microarrays were obtained from the Cancer Genome Atlas database. Aberrant DMGs were identified by the R Limma package. We conducted the Cox regression analysis to select the prognostic aberrant DMGs and site-specific methylation. Five aberrant DMGs were recognized that significantly correlated with overall survival. The prognostic model was constructed based on five DMGs (PAX9, STK33, GPR150, INSM1, and EPHX3). The five DMG models acted as prognostic biomarkers for HNC. The area under the curve based on the five DMGs predicting 5-year survival is 0.665. Moreover, the correlation between the DMGs/site-specific methylation and gene expression was also explored. The findings demonstrated that the five DMGs can be used as independent prognostic biomarkers for predicting the prognosis of patients with HNC. Our study might lay the groundwork for further mechanism exploration in HNC and may help identify diagnostic biomarkers for early stage HNC.

Indexed as

DNA MethylationEpigenesis, GeneticEpigenomeAgedBiomarkers, TumorEpoxide HydrolasesFemaleHead and Neck NeoplasmsHumansMaleMiddle AgedPAX9 Transcription FactorPrognosisProtein Serine-Threonine KinasesReceptors, G-Protein-CoupledRepressor ProteinsBiomarkers, TumorEPHX3 protein, humanEpoxide HydrolasesINSM1 protein, humanPAX9 protein, humanPAX9 Transcription FactorProtein Serine-Threonine KinasesReceptors, G-Protein-CoupledRepressor ProteinsSTK33 protein, humanCox regression analysisdifferentially methylated genesDNA methylationgene set enrichment analysishead and neck cancerhypermethylationhypomethylationKaplan-Meier survival curveThe Cancer Genome Atlas

Identifiers

PMID31131446
PMCPMC6772109

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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.