A novel mitochondrial metabolism-related gene signature for predicting the prognosis of oesophageal squamous cell carcinoma.

ABSTRACT: Oesophageal squamous cell carcinoma (ESCC) is one of the most lethal cancers worldwide. Due to the important role of mitochondrial metabolism in cancer progression, a clinical prognostic model based on mitochondrial metabolism and clinical features was constructed in this study to predict the prognosis of ESCC. Firstly, the mitochondrial metabolism scores (MMs) were calculated based on 152 mitochondrial metabolism-related genes (MMRGs) by single sample gene set enrichment analysis (ssGSEA). Subsequently, univariate Cox regression and LASSO algorithm were used to identify prognosis-associated MMRG and risk-stratify patients. Functional enrichment, interaction network and immune-related analyses were performed to explore the features differences in patients at different risks. Finally, a pro

SUBMITTER: Lin W 

PROVIDER: S-EPMC11210263 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature