ArticleOncology letters2016
Identification of key genes for laryngeal squamous cell carcinoma using weighted co-expression network analysis.
Article in Oncology letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 15 citations in OpenAlex.
- A novel fumaric acid metabolism-related prognostic signature associated with prognosis and immune infiltration landscape in laryngeal squamous cell carcinoma.Translational cancer research · 2025Article
- Identification of biomarkers in laryngeal cancer by weighted gene co-expression network analysis.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023Article
- MMP-9 and CCR7 as Possible Predictors of Lymph Node Metastasis in Laryngeal Squamous Cell Carcinoma.Iranian journal of pathology · 2023Article
- Cell Cycle-Related Gene SPC24: A Novel Potential Diagnostic and Prognostic Biomarker for Laryngeal Squamous Cell Cancer.BioMed research international · 2023Article
- Comprehensive analysis reveals COPB2 and RYK associated with tumor stages of larynx squamous cell carcinoma.BMC cancer · 2022Article
- Integrative analysis of CBR1 as a prognostic factor associated with IDH-mutant glioblastoma in the Chinese population.American journal of translational research · 2022Article
- Sharp Downregulation of Hub Genes Associated With the Pathogenesis of Breast Cancer From Ductal CarcinomaFrontiers in oncology · 2021Article
- Identification of Novel Prognostic Markers Associated With Laryngeal Squamous Cell Carcinoma Using Comprehensive Analysis.Frontiers in oncology · 2021Article
- Cyclin D1 Expression in Patients with Laryngeal Squamous Cell Carcinoma.Iranian journal of pathology · 2020Article
- Article
- Analysis of gene co‑expression network reveals prognostic significance of CNFN in patients with head and neck cancer.Oncology reports · 2019Article
- The clinicopathological significance of decreased miR-125b-5p in hepatocellular carcinoma: evidence based on RT-qPCR, microRNA-microarray, and microRNA-sequencing.International journal of clinical and experimental pathology · 2019Article
- Weighted gene co-expression network analysis and prognostic analysis identifies hub genes and the molecular mechanism related to head and neck squamous cell carcinoma.Cancer biology & therapy · 2019Article
- Targeting the SET and RING-associated (SRA) domain of ubiquitin-like, PHD and ring finger-containing 1 (UHRF1) for anti-cancer drug development.Oncotarget · 2018Review
- Identification of gene expression models for laryngeal squamous cell carcinoma using co-expression network analysis.Medicine · 2018Article
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Laryngeal squamous cell carcinoma (LSCC) is the most common malignant tumor in the head and neck, and can seriously affect the daily life of patients. To study the mechanisms of LSCC, the microarray of GSE51958 was analyzed in the present study. GSE51958 was downloaded from Gene Expression Omnibus, and included a collection of LSCC tissue samples and matched adjacent non-cancerous tissue samples from 10 patients. Differentially-expressed genes (DEGs) were identified using limma package. Next, a weighted co-expression network was constructed for the DEGs by WGCNA package in R. Modules of the weighted co-expression network were obtained through constructing a hierarchical clustering tree using the hybrid dynamic shear tree method. Using the clusterProfiler package, the potential functions of DEGs in the modules correlated with LSCC were predicted by pathway enrichment analysis. In total, 959 DEGs were screened from the LSCC samples compared with the adjacent non-cancerous samples, including 553 upregulated and 406 downregulated genes. The appointed black, brown, gray, pink and yellow modules were screened for the DEGs in the weighted co-expression network. For the DEGs in the brown and yellow modules, the enriched pathways were cytokine-cytokine receptor interaction and metabolic pathways, respectively. The DEGs in the pink module were involved in the majority of pathways. With high connectivity degrees in the pink module, TPX2, microtubule-associated (
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