Identification of Immunogenic Cell Death-Associated Long Non-Coding RNA in the Prognosis of Cervical Cancer

Abstract

Cervical cancer (CC) is a malignant tumor with a high incidence in women. It is urgent to develop new diagnostic and predictive markers of CC to improve the prognosis of CC. Programmed cell death (PCD) of cells has been proven to play an essential role in the occurrence and development of tumors. From the perspective of bioinformatics, we discussed the role of 12 PCD-related genes in the CC radiation-sensitive group and radiation-resistant group and establishes the CC risk model accordingly. At first, we identified two hub genes related to prognosis: PRKAA2 and MLLT11. There was an indirect correlation between MLLT11 and CC, and the effect of PRKAA2 on cervical cancer needs further study. Subsequently, we constructed the risk model about CC and confirmed that there was a significant difference in prognosis between the two groups, and the Top pathway involved was closely related to CC. Finally, by discussing the immune landscape of prognosis-related genes in CC, it was found that there were significant differences between the two groups in the abundance of immune cell infiltration, the expression value of immune inspection sites, and the expression values of PD-L1 and PD-L2. In addition, we performed RT-qPCR to validate the levels of hub genes. This study is helpful for the individualized treatment of CC patients.