Association of cuproptosis-related signature with the prognosis of patients with head and neck squamous cell carcinoma.

Patients with head and neck squamous cell carcinoma (HNSCC) have a poor prognosis because of their high recurrence and metastasis rates. Cuproptosis is a novel type of copper-dependent cell death that differs from apoptosis, necroptosis, and cytosolic scorch death. We designed and validated an individualized cuproptosis-related gene (CRG) signature for risk evaluation and prognostic prediction in HNSCC patients. Ninety differentially expressed CRGs were found in HNSCC. Gene Ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analyses were performed to investigate the functional involvement of CRGs in the Cancer Genome Atlas (TCGA) HNSCC cohort. A CRG signature was created using 10 genes after univariate and multivariate analysis. Kaplan Meier (KM) analysis showed that the survival rate of the high-risk group was significantly lower than that of the low-risk group. Multivariate regression analysis identified risk scores based on prognostic characteristics as independent prognostic indicators of HNSCC. Moreover, risk models are related to tumor mutational burden (TMB), tumor-infiltrating immune cells (TICs), immune checkpoints, clinical characteristics, and antitumor drug susceptibility. Furthermore, we found that CuCl2 treatment promoted cuproptosis in HNSCC cells, and that the expression levels of cuproptosis-related genes were altered by different doses of CuCl2. In summary, understanding the detailed molecular mechanisms of cuproptosis and its impact on overall survival (OS), and identifying potential therapeutic targets for HNSCC will provide potential insights for treatment.Communicated by Ramaswamy H. Sarma.

FRZB: a potential prognostic marker for head and neck squamous cell carcinoma.

Head and neck squamous cell carcinoma (HNSCC) is the sixth most common malignancy worldwide, with approximately 600,000 new cases each year. A small number of HNSCCs are caused by human papillomavirus (HPV) infection. Frizzled related protein (FRZB) has been reported in many inflammatory diseases and cancers, but it is yet unclear how FRZB affects HNSCC, as well as its role and underlying mechanism. TIMER2 database was utilized to evaluate FRZB expression in cancer tissues, and FRZB expression in HNSCC tissues was confirmed by samples obtained from Gene Expression Omnibus. To identify whether FRZB could be used as a prognostic predictor, we performed univariate and multivariate Cox regression analyses. FRZB co-expression profile was explored using the LinkedOmics database, then Kyoto Encyclopedia of Genes and Genomes and Gene Ontology enrichment analyses were performed for these FRZB-related genes in HNSCC samples. Lasso regression analysis was subsequently used to screen for prognostic variables, and we determined the infiltration of immune cells in HNSCC patients to clarify the influence of FRZB on tumor immune microenvironment. At last, we assessed the association between FRZB expression and immune checkpoint gene, and compared the sensitivity of common chemotherapeutic agents. In this study, we found that FRZB was dysregulated in HNSCC tumor tissues and had a relationship with clinical parameters. The reliability and independence of FRZB as a factor in determining a patient's prognosis for HNSCC was also established. Additional investigation revealed that FRZB was linked to common immune checkpoint genes and may be implicated in immune infiltration.

FRZB: a potential prognostic marker for head and neck squamous cell carcinoma

Head and neck squamous cell carcinoma (HNSCC) is the sixth most common malignancy worldwide, with approximately 600,000 new cases each year. A small number of HNSCCs are caused by human papillomavirus (HPV) infection. Frizzled related protein (FRZB) has been reported in many inflammatory diseases and cancers, but it is yet unclear how FRZB affects HNSCC, as well as its role and underlying mechanism. TIMER2 database was utilized to evaluate FRZB expression in cancer tissues, and FRZB expression in HNSCC tissues was confirmed by samples obtained from Gene Expression Omnibus. To identify whether FRZB could be used as a prognostic predictor, we performed univariate and multivariate Cox regression analyses. FRZB co-expression profile was explored using the LinkedOmics database, then Kyoto Encyclopedia of Genes and Genomes and Gene Ontology enrichment analyses were performed for these FRZB-related genes in HNSCC samples. Lasso regression analysis was subsequently used to screen for prognostic variables, and we determined the infiltration of immune cells in HNSCC patients to clarify the influence of FRZB on tumor immune microenvironment. At last, we assessed the association between FRZB expression and immune checkpoint gene, and compared the sensitivity of common chemotherapeutic agents. In this study, we found that FRZB was dysregulated in HNSCC tumor tissues and had a relationship with clinical parameters. The reliability and independence of FRZB as a factor in determining a patient's prognosis for HNSCC was also established. Additional investigation revealed that FRZB was linked to common immune checkpoint genes and may be implicated in immune infiltration.