Development of a prognostic prediction model based on a combined multi-omics analysis of head and neck squamous cell carcinoma cell pyroptosis-related genes

Abstract

This study aimed to understand the prognosis of patients with head and neck squamous cell carcinoma (HNSCC) and to develop and validate a prognostic model for HNSCC based on pyroptosis-associated genes (PAGs) in nasopharyngeal carcinoma. The Cancer Genome Atlas database was used to identify differentially expressed PAGs. These genes were analyzed using the Kyoto Encyclopedia of Genes and Genomes functional annotation analyses and Gene Ontology analyses. The NLR family pyrin domain containing 1 (NLRP1) gene, charged multivesicular body protein 7 (CHMP7) gene, and cytochrome C (CYCS) gene were used to create a prognostic model for HNSCC. The results of the Kaplan-Meier (K-M) and Cox regression analyses indicated that the developed model served as an independent risk factor for HNSCC. According to the K-M analysis, the overall survival of high-risk patients was lower than that of low-risk patients. The hazard ratios corresponding to the risk scores determined using the multivariate and univariate Cox regression analyses were 1.646 (95% confidence interval (CI): 1.189–2.278) and 1.724 (95% CI: 1.294–2.298), respectively, and the area under the receiver operator characteristic curve was 0.621. The potential mechanisms associated with the functions of the identified genes were then identified, and the tumor microenvironment and levels of immune cell infiltration achieved were analyzed. The immune infiltration analysis revealed differences in the distribution of Th cells, tumor-infiltrating lymphocytes, regulatory T cells, follicular helper T cells, adipose-derived cells, interdigitating dendritic cells, CD8+ T cells, and B cells. However, validating bioinformatics analyses through biological experiments is still recommended. This study developed a prognostic model for HNSCC that included NLRP1, CHMP7, and CYCS.

Expression of pyroptosis-related genes are correlated with immune microenvironment and predict prognosis in ESCA

“…Oncostatin M (OSM) can promote the potential of breast cancer metastasis (Covert et al 2019 ). Charged multivesicular body protein 7 (CHMP7) has been shown to be a risk gene for squamous cell carcinoma of the head and neck (Chen et al 2022 ). Fragile X mental retardation 1 (FMR1) has been identified as a new immune-related prognostic biomarker for renal clear cell carcinoma (Wu et al 2022 ).…”

Predictors of cognitive impairment in patients undergoing ileostomy for colorectal cancer: a retrospective analysis

“…Predictive models can also assist physicians in implementing precision medicine, thereby formulating more personalized and efficacious treatment plans ( Pencina & Peterson, 2016 ; Obermeyer & Emanuel, 2016 ; Kang et al, 2020 ; Wu et al, 2021 ; Lin et al, 2022 ; Chen et al, 2022a ). These models can enhance research efficiency, accelerate the development of novel pharmaceuticals, and optimize therapeutic strategies, ultimately making significant contributions to the improvement of human health.…”

Ferroptosis-associated gene CISD2 suppresses colon cancer development by regulating tumor immune microenvironment

“…Cancer immunotherapy, mainly employing immune checkpoint inhibitors and immune cell recombination therapy, has substantially improved patient survival outcomes, emphasizing the crucial significance of immunological and related biomarkers ( Sharma & Allison, 2015 ; Hargadon, Johnson & Williams, 2018 ; Xu et al, 2021 ; Sun et al, 2022b ; Mei, Li & Kang, 2022 ; Chen et al, 2022a ; Luo et al, 2022 ). Nevertheless, immunotherapy’s efficacy remains relatively low in cancer patients.…”