Marker-based product for predicting curative effect of transarterial chemoembolization and application thereof
A marker and response technology, applied in the field of biomedicine, can solve the problems of high degree of malignancy, low success rate of surgical resection, hidden onset of liver cancer, etc.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment
[0060] Example, screening differentially expressed genes and verifying their prediction effects
[0061] Before TACE treatment, tumor biopsy samples were collected from liver cancer patients. After surgery, patients were divided into response group (R, responder) or non-responder group (NR, non-responder) according to whether they responded to TACE treatment, and the responses were compared. The gene expression profiles of patients in the control group and patients in the non-responder group can obtain potential markers that can predict the response to TACE treatment. The data source of this study is: GSE104580, non-responder in this data set: responder=66:81.
[0062] Differential analysis was performed with the R language limma package to obtain differentially expressed genes, and the screening criteria were: adj.P.Val1. Differentially expressed genes are shown in Table 1 and figure 1 shown.
[0063] Table 1. Gene expression
[0064] logFC average expres...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


