Unlock instant, AI-driven research and patent intelligence for your innovation.

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

Pending Publication Date: 2022-07-29
PEKING UNIV THIRD HOSPITAL
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although it has been reported that high expression of 5-LOX can promote tumor-associated macrophage infiltration in hypoxic areas of ovarian cancer through its metabolites (Z Wen et al. Increased metabolites of 5-lipoxygenase from hypoxic ovarian cancer cells promote tumor-associated macrophage infiltration .Oncogene volume 34, pages1241–1252(2015)), but the expression and function of LTA4H in ovarian cancer have not been studied

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Ovarian cancer prognosis risk model based on polyunsaturated fatty acid related gene and preparation method and application thereof
  • Ovarian cancer prognosis risk model based on polyunsaturated fatty acid related gene and preparation method and application thereof
  • Ovarian cancer prognosis risk model based on polyunsaturated fatty acid related gene and preparation method and application thereof

Examples

Experimental program
Comparison scheme
Effect test

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

[0108]

[0109]...

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 ).

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses application of a polyunsaturated fatty acid related gene to prediction of ovarian cancer prognosis. One of the technical schemes protected by the invention is application of 10 polyunsaturated fatty acid related genes in preparation of a product for predicting prognosis of an ovarian cancer patient. The invention discloses a risk value prediction model for ovarian cancer, which comprises 10 genes, namely ALOX12, ALOX5AP, CCR7, CYP3A5, CYP4F22, LTA4H, PLA2G2D, PLA2R1, PTGFR and TNFSF11, and experiments prove that the risk value prediction model based on the 10 genes can be used for effectively predicting the prognosis of the ovarian cancer. Another technical scheme protected by the invention is the application of one key gene LTA4H in the 10 genes as an ovarian cancer treatment target. It is proved that ovarian cancer cell proliferation can be inhibited and cell apoptosis can be promoted by inhibiting expression and activity of LTA4H. Reference basis can be provided for clinical application of ovarian cancer treatment, and the clinical ovarian cancer treatment effect can be improved.

Description

technical field [0001] The invention relates to the field of biomedicine, in particular to the application of 10 polyunsaturated fatty acid-related genes in preparing a product for predicting the prognosis of ovarian cancer patients, and one of the key genes in the ten polyunsaturated fatty acid-related genes - The application of an inhibitor of leukotriene A4 hydrolase (LTA4H) in the preparation of a medicament for the treatment of ovarian cancer. Background technique [0002] Ovarian cancer is the deadliest gynecological cancer and is known as the silent killer. In 2020, more than 300,000 new cases of ovarian cancer were diagnosed worldwide, and approximately 200,000 women died from ovarian cancer. The 5-year survival rate for ovarian cancer patients is no more than 48%. Aggressiveness, late diagnosis, and high recurrence rates may be responsible for the high mortality. Because the symptoms are hidden and difficult to detect at an early stage, most patients are at an ad...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6886G01N33/574G16H50/30A61K31/198A61K31/7088A61K33/243A61K45/00A61P35/00
CPCC12Q1/6886G01N33/57449G01N33/57484G16H50/30A61K45/00A61K31/7088A61K31/198A61K33/243A61P35/00C12Q2600/158C12Q2600/118G01N2333/90241G01N2333/47G01N2333/7158G01N2333/90245G01N2333/948G01N2333/914G01N2333/918G01N2333/7151A61K2300/00
Inventor 霍霄薛丽香杨建岭郭正阳黄架旗宋佳桂何天慧
Owner PEKING UNIV THIRD HOSPITAL