Colorectal cancer diagnostic marker and application thereof
A technology for early diagnosis of colorectal cancer, applied in the field of molecular biology, to achieve the effects of improved specificity, high sensitivity and high specificity
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0035] Example 1 Screening of exosomal proteins CPS1 and TNC
[0036] 1 In the present invention, firstly, the plasma exosome samples of colorectal cancer patients obtained from Shanghai Tongji Hospital are processed and analyzed for label-free protein spectrum detection. According to the protein spectrum processing and analysis process control method, import protein spectrum data, and obtain theoretically effective proteins after signal value screening and standardization, and perform differential expression analysis on this basis, see figure 1 .
[0037] 2 The protein screening method specifically includes the following steps:
[0038] 2.1 Collect plasma exosome samples from patients with colorectal cancer and extract total protein.
[0039] 2.2 Perform quality detection and labeling on the obtained protein.
[0040] 2.3 The label-free protein spectrum detection technology of Jingjie Company was used to detect and analyze under standard conditions.
[0041] 2.4 Perform q...
Embodiment 2
[0047] Example 2 Method for diagnosing CRC based on exosomal protein CPS1 and TNC
[0048] 1 Serum exosomes were extracted according to conventional methods.
[0049] 2 Extract exosomal proteins CPS1 and TNC according to conventional methods.
[0050] 3According to the diagnostic threshold of 0.655, if the relative expression of CPS1 combined with TNC in serum exosomes relative to the internal reference protein Actin is >0.655, it means that CRC is present; otherwise, if the relative expression of CPS1 combined with TNC in serum exosomes relative to the internal reference protein Actin If the expression level is ≤0.655, then there is no CRC.
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


