Identification of a prognostic model based on immune and hypoxia-related gene expressions in cervical cancer.

The survival rate of cervical cancer (CC) is still low. A prognostic model for CC is urgently needed to improve the prognosis and survival. This study constructed a risk scoring models based on 12 characteristic gene related to hypoxia and immunity, including CX3CL1, CXCL3, GHSR, DLL4, FGFR2, PDF, KLRK1, MAP3K14, RETNLB, PRDX2, P4HA1 and PGK1, which can help predict the prognosis of PD-1 immunotherapy in CC patients. The high-risk group may have the properties of high hypoxia and low immunity, while the low-risk group patients live longer and have obvious therapeutic advantages in anti-PD-1 immunotherapy. Our findings suggest a potential link between hypoxia, immunity, prognosis, tumour immune microenvironment and response to immunotherapy in CC patients.