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Background: Head and neck squamous cell carcinoma (HNSCC) is currently the sixth most common cancer worldwide, and its prevalence and recurrence rates are gradually increasing. To study the relationship between HNSCC and cell pyroptosis and provide new treatment options for HNSCC, a prognostic model of pyroptosis-related genes (PRGs) was established to predict the prognosis of patients with HNSCC, and an immune correlation analysis was performed. Methods: A total of 53 PRGs were selected. We comprehensively analyzed the role of these PRGs in HNSCC through multiple omics data-set integration. We then identified two different molecular subtypes and found that changes in multi-layer PRGs were associated with clinicopathological characteristics, prognosis, and tumor microenvironment cell-infiltration characteristics in patients. Next, prognostic models were generated for nine PRGs; that is, cytotoxic T lymphocyte antigen 4 (CTLA4), V-set and immunoglobulin domain containing 4 (VSIG4), heparin-binding-epidermal growth factor (HBEGF), aquaporin-1 (AQP1), sodium channel epithelial 1 subunit delta (SCNN1D), argininosuccinate synthase 1 (ASS1), family with sequence similarity 83 member (FAM83), cyclin dependent kinase inhibitor 2A (CDKN2A), and serine protease inhibitor Kazal 6 (SPINK6). Finally, a risk-score model was constructed, and the Kaplan-Meier method was used to evaluate overall survival. In addition, the immune environment and drug sensitivity were analyzed. Results: This study showed that pyroptosis is closely related to HNSCC. The scores generated by the risk markers based on the new nine PRGs were identified as independent risk factors for predicting HNSCC. The differentially expressed genes between the low- and high-risk groups were further found to be related to the tumor immune cells and pathways. In addition, the risk score was found to be significantly correlated with chemosensitivity. Conclusions: Our comprehensive analysis of PRGs revealed their potential role in the tumor immune microenvironment, clinicopathological characteristics, and prognosis. These findings may improve our understanding of pyroptosis in HNSCC and may provide new ideas for evaluating prognosis and developing more effective immunotherapy strategies.
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PURPOSE: Studies have found a positive correlation between various cancers and circular RNAs (circRNAs), which are newly discovered noncoding RNAs. However, limited scientific evidence is available to prove the clinical value of circRNAs in the presentation of oral squamous cell carcinoma (OSCC). This study aimed to explore comprehensively the potential of circRNAs as diagnostic indexes of OSCC. METHODS: Online databases were systematically searched to identify published literature on the discovery of circRNAs in OSCC. Data were acquired from each reviewed study and collated to create a 2 × 2 eventuality table. Hierarchical analysis of the literature was conducted for the type of cancer, year of publication, and the sample size of each study. The diagnostic accuracy was calculated using indexes such as the pooled sensitivity and specificity, and assessed critically using the Quality Assessment for Studies of Diagnostic Accuracy 2. RESULTS: This meta-analysis included findings of 6 studies on 335 patients diagnosed with OSCC. These 6 studies examined 7 circRNAs, 5 in tissues and 2 in the saliva of patients with OSCC. When used as a diagnostic tool for OSCC, circRNAs manifested a sensitivity level of 0.72 (95% confidence interval: 0.67 to 0.76) and a degree of specificity of 0.81 (95% confidence interval: 0.76 to 0.85), with a general projected probability rate of 3.82 (95% confidence interval: 2.98 to 4.91) being positive and 0.35 (95% confidence interval: 0.29 to 0.41) being negative. The combined probability rate was 11.07 (95% confidence interval: 7.64 to 16.04), comprising a total of 0.76 (95% confidence interval: 0.72 to 0.79) of the region under the curve. A higher diagnostic value was found for salivary circRNAs (diagnostic odds ratio = 17.52; 95% CI: 10.11 to 30.35) than for tissue circRNAs (diagnostic odds ratio = 8.47; 95% CI: 5.6 to 12.83). This indicated that circRNAs showed a good discrimination ability as biomarkers of OSCC. CONCLUSIONS: circRNAs showed high accuracy in the diagnosis of OSCC and could be used as prospective biomarkers to facilitate the diagnostic process.
