Various types of prognostic factors—such as age, race, FIGO stage, histological type, degree of differentiation, lymph node involvement and location, tumor volume, SUVmax of cervical tumor, serum SCC antigen levels, and treatment received—have been used as components of the prognostic predictive models [24]. Here, SERPINB3 is linked to uterine cervix neoplasm.