A TTN-Associated Immunoprognostic Model Based on LASSO-Cox Regression for Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma

Background: TTN mutations are the most common genetic mutations found in cervical squamous cell carcinoma and endocervical adenocarcinoma. They have been shown to affect the progression and prognosis of Cervical Endometrial glandular carcinoma (CESC). TTN mutations may also regulate the immune phenotype of CESC, which could impact its prognosis. Previous studies have demonstrated that CESC patients with TTN mutations had a significantly higher overall survival rate than those with wild-type TTN. However, the impact of TTN mutations on the immune microenvironment of CESC has not been thoroughly investigated. Methods: This paper aims to examine the TTN mutation status and RNA expression in the CESC dataset from TCGA. Two gene features were identified to predict the prognosis of CESC. Consequently, a CESC Immune Prognosis Model (CIPM) based on a LASSO-Cox regression analysis was developed for the differential expression of immune-related genes between TTN-WT and TTNMUT CESC samples. Results: The results showed that TTN mutations weaken the immune response in CESCs. Out of the 152 genes associated with the immune response, 21 displayed varying expression levels depending on the presence or absence of TTN mutations. Conclusion: The study suggests that TTN mutations have an impact on the immune response in CESCs. The CIPM was introduced and validated in 232 CESC patients to distinguish between highand low-risk patients with an unsatisfactory prognosis, regardless of various clinical features.