scholarly journals Integrated Analysis Reveals ENDOU as a Biomarker in Head and Neck Squamous Cell Carcinoma Progression

2021 ◽  
Vol 10 ◽  
Author(s):  
Chengzhi Xu ◽  
Yunbin Zhang ◽  
Yupeng Shen ◽  
Yong Shi ◽  
Ming Zhang ◽  
...  

BackgroundHead and neck squamous cell carcinoma (HNSCC) is a leading cancer with high morbidity and mortality worldwide. The aim is to identify genes with clinical significance by integrated bioinformatics analysis and investigate their function in HNSCC.MethodsWe downloaded and analyzed two gene expression datasets of GSE6631 and GSE107591 to screen differentially expressed genes (DEGs) in HNSCC. Common DEGs were functionally analyzed by Gene ontology and KEGG pathway enrichment analysis. Protein-protein interaction (PPI) network was constructed with STRING database and Cytoscape. ENDOU was overexpressed in FaDu and Cal-27 cell lines, and cell proliferation and migration capability were evaluated with MTT, scratch and transwell assay. The prognostic performance of ENDOU and expression correlation with tumor infiltrates in HNSCC were validated with TCGA HNSCC datasets.ResultsNinety-eight genes shared common differential expression in both datasets, with core functions like extracellular matrix organization significantly enriched. 15 genes showed prognostic significance, and COBL and ENDOU serve as independent survival markers in HNSCC. In-vitro ENDOU overexpression inhibited FaDu and Cal-27 cells proliferation and migration, indicating its tumor-suppressing role in HNSCC progression. GSEA analysis indicated ENDOU down-stream pathways like DNA replication, mismatch repair, cell cycle and IL-17 signaling pathway. ENDOU showed relative lower expression in HNSCC, especially HPV-positive HNSCC samples. At last, ENDOU showed negative correlation with tumor purity and tumor infiltrating macrophages, especially M2 macrophages.ConclusionThis study identified ENDOU as a biomarker with prognostic significance in HNSCC progression.

BMC Cancer ◽  
2012 ◽  
Vol 12 (1) ◽  
Author(s):  
Gustavo A Acuña Sanhueza ◽  
Leonie Faller ◽  
Babitha George ◽  
Jennifer Koffler ◽  
Vinko Misetic ◽  
...  

2020 ◽  
Author(s):  
Bo Ma ◽  
Hui Li ◽  
Mingzhu Zheng ◽  
Rui Cao ◽  
Riyue Yu

Abstract BackgroundAutophagy degraded and recycled cytoplasmic components to maintain cellular homeostasis under stress conditions, which was recognized as double-edged sword in oncogenesis and novel target in cancer treatment. However, comprehensive analysis of the relationship between autophagy regulation and immunity has not been reported yet. MethodsUnsupervised consensus clustering algorithm was used to identify autophagy regulation patterns. LASSO cox regression algorithm was used to build a scoring system (ATGscore) to represent the individual autophagy regulation pattern. Then integrated analysis of autophagy regulation patterns and ATGscore was performed.ResultsWe have successful depicted five autophagy regulation patterns and established a scoring system (ATGscore) to represent it, which was shown to be significantly correlated with TIME infiltration, immune phenotypes, molecular subtypes, and genetic variation, etc. in 1165 head and neck squamous cell carcinoma (HNSCC) patients. Moreover, ATGscore was an independent prognostic factor and potent predictor for clinical response to immune-checkpoint inhibitors (ICIs) targeting immunotherapy. ConclusionUnderstanding the molecular characteristics of autophagy regulation patterns in HNSCC could help us to depict the underlying mechanism of tumour immunity and lay a solid foundation on combination of autophagy targeting therapies and immunotherapies for clinical application in HNSCC.


2011 ◽  
Vol 17 (11) ◽  
pp. 3733-3741 ◽  
Author(s):  
Marlon Lindenbergh-van der Plas ◽  
Ruud H. Brakenhoff ◽  
Dirk J. Kuik ◽  
Marijke Buijze ◽  
Elisabeth Bloemena ◽  
...  

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