Objective
The aim of this study was to identify biomarkers associated with immunity and prognosis in patients with cervical cancer.
Materials and methods
Data from patients with cervical squamous cell carcinoma (CESC) were retrieved from the UCSC Xena database and subjected to analysis. Gene sets representing 22 types of immunocytes were acquired, and immunocytes relevant to prognosis were identified. Weighted gene co-expression network analysis (WGCNA) was utilized to identify gene modules associated with prognosis-related immunocytes and to construct immune-related gene markers. Differentially expressed genes were then screened, and the association between immune score and biological function of immune-related gene markers was analyzed. Furthermore, tissue samples from cervical cancer patients in Northeast China were collected to validate the expression of two genes using real-time PCR and immunohistochemistry.
Results
This study identified 10 immunocytes significantly correlated with overall survival time in patients. Six gene modules were identified as significantly associated with prognosis-related immunocytes, with gene module 6 showing relevance to all prognosis-related immunocytes. Gene module 6 was related to all prognosis-related immunocytes. Moreover, two genes (including PLA2G2D and CHIT1) were found to be significantly associated with overall survival in cancer patients. Patients with CESC were classified into high and low immune score groups based on the median score of gene markers. Correlation analysis of the immune score and biological function was performed. Immunohistochemistry and real-time PCR results revealed high expression of CHIT1 and PLA2G2D in CESC tumor tissues.
Conclusion
PLA2G2D and CHIT1 show promise as biomarkers for evaluating immune infiltration and prognosis in patients with cervical cancer.
