Evidence map›Paper›PMID 35715770›Full record

ArticleBMC cancer2022

Comprehensive analysis reveals COPB2 and RYK associated with tumor stages of larynx squamous cell carcinoma.

Guojin Zhou, Shoude Zhang, Mao Jin, Sunhong Hu

Abstract read
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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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

3 citing papers in PubMed.

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4 · The record

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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

4 authors.

Guojin ZhouDepartment of Otolaryngology Head and Neck Surgery, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, No.3 Qingchun East Road, Hangzhou, 310016, Zhejiang, China.
Shoude ZhangDepartment of Otolaryngology Head and Neck Surgery, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, No.3 Qingchun East Road, Hangzhou, 310016, Zhejiang, China.
Mao JinDepartment of Otolaryngology Head and Neck Surgery, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, No.3 Qingchun East Road, Hangzhou, 310016, Zhejiang, China.
Sunhong HuDepartment of Otolaryngology Head and Neck Surgery, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, No.3 Qingchun East Road, Hangzhou, 310016, Zhejiang, China. 3193146@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLaryngeal squamous cell carcinoma (LSCC) is one of the highly aggressive malignancy types of head and neck squamous cell carcinomas; genes involved in the development of LSCC still need exploration.

methodsWe downloaded expression profiles of 96 (85 in advanced stage and 11 in early stage) LSCC patients from TCGA-HNSC. Function enrichment and protein-protein interactions of genes in significant modules were conducted. Univariate and multivariate Cox regression analyses were performed to explore potential prognostic biomarkers for LSCC. The expression levels of genes at different stages were compared and visualized via boxplots. Immune infiltration was examined by the CIBERSORTx web-based tool and depicted with ggplot2. Gene set enrichment analysis (GSEA) was utilized to analyze functional enrichment terms and pathways. Immunohistochemical staining (IHC) was used to verify the expression of genes in the LSCC samples.

resultsWe identified 25 modules, including 3 modules significantly related to tumor stages of LSCC via weighted gene co-expression network analysis (WGCNA). UIMC1, NPM1, and DCTN4 in the module 'cyan', TARS in the module 'darkorange', and COPB2 and RYK in the module 'lightyellow' showed statistically significant relation to overall survival. The expression of COPB2, DCTN4, RYK, TARS, and UIMC1 indicated association with the change of fraction of immune cells in LSCC patients; two genes, COPB2 and RYK, indicated different expression in various tumor stages of LSCC. Finally, COPB2 and RYK showed high-expression in tumor tissues of advanced LSCC patients.

conclusionsOur study provided a potential perceptive in analyzing progression of LSCC cells and exploring prognostic genes.

Indexed as

Coatomer ProteinLaryngeal NeoplasmsReceptor Protein-Tyrosine KinasesSquamous Cell Carcinoma of Head and NeckBiomarkers, TumorHumansNeoplasm StagingPrognosisBiomarkers, TumorCoatomer ProteinCOPB2 protein, humanReceptor Protein-Tyrosine KinasesRYK protein, humanGSEAImmune infiltrationLSCCTumor stagesWGCNA

Identifiers

PMID35715770
PMCPMC9206315

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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.