The invention discloses an analysis method of an immune prognosis diagnosis marker combination for the ovarian cancer. The marker combination comprises the following genes: CSPG5, CXCL10, CXCL11, DKK1, PI3, TNFRSF17, DUOX1, TNFRSF13B and PAEP. The analysis method comprises the following steps of: S1, collecting and preprocessing data; S2, performing TMB score calculation and prognosis analysis; S3, performing difference analysis; S4, constructing and evaluating a TMB-immune prognosis related risk scoring model; S5, determining the relationship between clinical pathological factors and the TMB-IRS model; S6, carrying out CIBERSORT database analysis; and S7, carrying out statistical analysis. According to the analysis method, the immune risk scoring model related to TMB is constructed through nine key tumor mutation load related immune prognosis genes of the ovarian cancer, patients are divided into a high-risk group and a low-risk group, and it is proved that the high-risk group is related to poor prognosis, and the immune cell infiltration proportion of the patients in the low-risk group is higher; and prognosis prompts are provided for clinical treatment of the ovarian cancer, and the marker combination can be used as a novel biomarker and a potential treatment target for predicting ovarian cancer prognosis.