Construction of prognosis model of pyroptosis gene and characterization of tumor microenvironment infiltration in cervical cancer.

Abstract

Pyroptosis has been demonstrated in recent years to be an inflammatory form of programmed cell death. However, the prognostic evaluation of cervical cancer (CESC) to pyroptosis is insufficient and their correlations with prognosis remain unclear. In this study, we identified 15 differentially expressed pyroptosis-related genes between tumor samples and normal samples. By using Cox regression analysis, a 3-gene risk signature was built and classified all CESC patients in the cancer genome atlas cohort into a low-risk or high-risk group. CESC patients in the low-risk group showed significantly higher survival probabilities than those in the high-risk group (P < .05). And the risk score was found to be an independent factor for predicting the overall survival of CESC patients. Besides, based on 33 pyroptosis-related genes, all CESC cases could be divided into 3 clusters with consensus clustering analysis. We characterized and analyzed the characteristics of tumor microenvironment infiltration in different clusters. Our findings provide a foundation for future research targeting pyroptosis and its immune microenvironment to improve prognosis in CESC patients.