Evidence map›Paper›PMID 31485443›Full record

ArticleBioMed research international2019

Identification of Potential Biomarkers and Survival Analysis for Head and Neck Squamous Cell Carcinoma Using Bioinformatics Strategy: A Study Based on TCGA and GEO Datasets.

Yujie Shen, Jinhui Liu, Liqing Zhang, Shikun Dong, Jiacheng Zhang, Yaqin Liu, Han Zhou, Weida Dong

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

41 citing papers in PubMed, 64 citations in OpenAlex.

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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 1 institution in 1 country.

Yujie ShenDepartment of Otorhinolaryngology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu, China.
Jinhui LiuDepartment of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu, China.
Liqing ZhangDepartment of Otorhinolaryngology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu, China.
Shikun DongDepartment of Otorhinolaryngology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu, China.
Jiacheng ZhangDepartment of Otorhinolaryngology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu, China.
Yaqin LiuDepartment of Otorhinolaryngology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu, China.
Han ZhouDepartment of Otorhinolaryngology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu, China.
Weida DongDepartment of Otorhinolaryngology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu, China.ORCID https://orcid.org/0000-0002-9026-3159
Jiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mechanism and gene markers of head and neck squamous cell carcinoma (HNSCC), a common malignant tumor, have not yet been identified. The aim of this study was to identify the key genes and pathways associated with HNSCC and to further analyze its molecular mechanism and prognostic significance. In this study, the expression profile chip data GSE6631 from Gene Expression Omnibus (GEO) included paired HNSCC tumor and normal samples from 22 patients; the RNAseq tertiary dataset of HNSCC and corresponding clinical information from The Cancer Genome Atlas (TCGA) included biological information of 12 normal head and neck tissues and 111 HNSCC sample tissues. Differentially expressed genes (DEGs) were screened by R software, and the pathway enrichment analysis of DEGs was performed by DAVID, String, and Sytoscape software programs. Combining the GEO and the TCGA databases, we used bioinformatics technology to screen out 50 DEGs in HNSCC and enrich the biological functions and key pathways of HNSCC. Then we performed Gene Ontology (GO) enrichment analysis, the Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway analysis, protein-protein interaction (PPI) analysis, and survival analysis on these DEGs. Using CMap, we identified candidate small molecules that might reverse HNSCC gene expression. Finally, four most important small molecules that could provide more reliable biomarkers for early diagnosis and individualized control of HNSCC were identified.

Indexed as

Biomarkers, TumorComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyHead and Neck NeoplasmsHumansPrognosisSoftwareSquamous Cell Carcinoma of Head and NeckSurvival AnalysisTranscriptomeBiomarkers, Tumor

Identifiers

PMID31485443
PMCPMC6702813
OpenAlexW2966341306

What OpenQuestion holds

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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.