MiRNA marker for diagnosis and treatment of melanoma and related product thereof
A technology of melanoma and markers, applied in medical preparations containing active ingredients, drug combinations, antineoplastic drugs, etc., can solve problems such as lack of consensus, and achieve high diagnostic efficiency and good clinical application prospects
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0065] Example 1 Screening for differentially expressed genes in melanoma
[0066] 1. Data source and processing
[0067]Public gene expression data and complete clinical annotations were searched in the Gene Expression Omnibus (GEO), and melanoma (Melanoma ) Gene expression dataset GSE20994, which includes blood sample data of healthy controls and melanoma patients, the sample size of the dataset is Case: Normal=35:22, and it is annotated with annotation files, multiple The average value of the probe corresponding to the same gene is taken as its expression level, and then the gene expression matrix file is obtained.
[0068] 2. Differential expression analysis
[0069] Use the "limma" package in R software to perform differential expression analysis on the above data, where the screening criteria for differentially expressed genes are: |log 2 FC|>0.5, adj.P value<0.05.
[0070] 3. Experimental results
[0071] The experimental results showed that a total of 397 differen...
Embodiment 2
[0074] Example 2 Verification of the diagnostic efficacy of miR-450a and miR-675
[0075] 1. Experimental method
[0076] Use the R package "pROC" to perform receiver operating characteristic (ROC) analysis, draw the ROC curve, and use the differentially expressed genes miR-450a, miR-675, and miR-450a+miR-675 screened in Example 1 as detection variables Analyze the AUC value, sensitivity and specificity of the above-mentioned indicators miR-450a, miR-675, miR-450a+miR-675 for the diagnosis of melanoma, when judging the diagnostic performance of a single miRNA, directly use the miRNA expression analysis. First call the pROC package, then read in the expression matrix constructed by the target miRNA, and run the command to draw the ROC curve, where the command uses a for loop and involves adding AUC, Thres (threshold), and Smooth (fitting curve) commands. When judging the diagnostic efficacy of miRNA combination, first use glmnet to perform Logistic regression analysis on miRN...
Embodiment 3
[0081] Example 3 Research on the relationship between the expression of miR-450a and miR-675 and the apoptosis of melanoma cells
[0082] 1. Experimental materials
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com