Prognostic value of lipid metabolism-related genes in head and neck squamous cell carcinoma

Background: Altered lipid metabolism is involved in the development of many tumors. However, the role of dissimilar lipid metabolism in head and neck squamous cell carcinoma (HNSCC) is not fully established. Aims: Here, we sought to determine the prognostic value of lipid metabolism-related genes in HNSCC. Methods: RNA-seq data and clinical features of 545 HNSCC cases were obtained from The Cancer Genome Atlas database. A regulatory network of transcription factors-lipid metabolism genes and a risk prognostic model of lipid metabolism-related genes was developed using bioinformatics and Cox regression modeling. We used tumor immune estimation resource to analyze immune cell infiltration in patients with HNSCC based on the prognostic index (PI) of lipid metabolism-related genes. Results: A total of 136 differentially expressed lipid metabolism genes were identified. Of these, 23 are related to prognosis. In addition to predicting HNSCC prognosis, 11 lipid metabolism-related genes (ARSI, CYP27B1, CYP2D6, DGKG, DHCR7, LPIN1, PHYH, PIP5K1B, PLA2G2D, RDH16, and TRIB3) also affect HNSCC clinical features (stage, gender, and pathological stage). The PI of lipid metabolism-related genes embodied the state of HNSCC tumor immune microenvironment.

Automated summary

In this study, a total of 136 differentially expressed lipid metabolism genes were identified in head and neck squamous cell carcinoma (HNSCC), with 23 of them related to prognosis. Additionally, 11 lipid metabolism-related genes were found to affect clinical features of HNSCC, such as stage, gender, and pathological stage. The prognostic index of lipid metabolism-related genes reflected the state of the HNSCC tumor immune microenvironment.