Ovarian cancer prognosis risk model based on polyunsaturated fatty acid related gene and preparation method and application thereof
A technology for unsaturated fatty acids and ovarian cancer, applied in biochemical equipment and methods, medical preparations containing active ingredients, pharmaceutical formulas, etc., can solve problems such as expression and function that have not been studied
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Embodiment 1
[0105] Example 1 Construction of a prognostic model based on PUFA-related genes
[0106] Based on the close relationship between PUFA and ovarian cancer prognosis, 174 PUFA-related genes (12 of which were filtered due to low expression) were firstly analyzed on the training dataset, and 15 prognosis-related genes were obtained (pfigure 1 . And their expression is highly correlated with prognosis. Finally, according to the calculation formula of RiskScore, the risk score of each sample in the training data set is obtained, and the median value is the cut-off point, and the riskScore greater than the median value is defined as high risk (High risk), and the riskScore less than or equal to the median value is low risk ( Lowrisk). RiskScore=risk value=0.424×ALOX12+0.519×ALOX5AP-0.664×CCR7-0.401×CYP3A5+0.798×CYP4F22+0.766×LTA4H-0.519×PLA2G2D+0.471×PLA2R1+0.894×PTGFR+0.876×TNFSF11.
[0107] Table 1 Risk coefficients of risk models and multivariate Cox results
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Embodiment 2
[0110] Example 2 Robustness verification of prognostic model based on PUFA-related genes
[0111] By plotting the distribution of survival times from low-risk to high-risk in the TCGA training dataset, it can be found that in low-risk regions, the proportion of survivors is higher (Appendix figure 2 A, B); and plot the expression profiles of 10 genes in each sample, with increasing risk scores from left to right (attached figure 2 C); through survival curve analysis, risk score grouping can significantly separate high and low risk groups (attached figure 2 D); while at different time points (1, 3, 5 years), the ROC curves of RiskScore all have higher AUC values (attached figure 2 E). In order to verify the reliability of the risk model, the TCGA validation data set and all TCGA data sets were used for verification. The results show that the risk model also has good effects on the TCGA validation data set and all data sets, and can significantly separate high and low risk...
Embodiment 3
[0112] Example 3 10 PUFA-related gene signatures are independent prognostic factors in ovarian cancer patients
[0113] In order to test the performance of the risk prediction model in different clinical characteristics, the TCGA data set was used to conduct survival analysis on samples with different clinical characteristics. group (attached Figure 5 , p Image 6 ).
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