Application of reagent for detecting gene methylation and colorectal cancer diagnosis or auxiliary diagnosis kit
A technology for auxiliary diagnosis and colorectal cancer, applied in the field of tumor diagnosis, which can solve the problems of unsatisfactory marker gene detection effect and other problems
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Embodiment 1
[0058] This embodiment provides a method for diagnosis or auxiliary diagnosis of colorectal cancer, which includes:
[0059] Use the methylation-specific PCR method to detect the methylation of any of the following genes in the sample:
[0060] ADAMTS1, AKR1B1, ARHGAP20, BEND5, BVES, C17orf102, CHRDL1, DMRT1, DPY19L2, EPHA7, FAM19A5, FAM150A, FAM184B, FBXL21, GDF6, GLB1L3, GPR27, GRIN2A, HBM, INA, KCNA1, LAYN, NPTXL, RSPO3, SLC35F1, SLITRK5, SNAP91, SNX32, SPG20, SPSB4, STK32B, T, THSD7B, TMEM130, TMEM132E, TRHDE, TRIM71, TRPC6, UNC5C, VAT1L, VWC2, WDR17, WT1, ZNF43, ZNF492, ZNF625, ZNF7943B, ZNF8 ZNF829 and ZNF880.
[0061] Specific steps include:
[0062] (1) DNA extraction
[0063] Use a DNA extraction kit to extract the DNA of the sample to be tested, for example, UnigeneDx from Ningbo Youcheng Biomedical Technology Co., Ltd. For specific experimental operations, refer to the manufacturer's instructions.
[0064] (2) Sulfite conversion
[0065] The nucleic acid conver...
experiment example 1
[0082] Select 300 cases of colorectal cancer tissue samples and 90 cases of normal intestinal tissue samples, use the method in Example 1 to diagnose colorectal cancer, output the Ct value of each detection gene in each sample, and use R to make ROC curve for these Ct values, The Ct value at the maximum Youden index was used as the cut-off value to obtain the sensitivity, specificity and AUC value. The results are shown in Table 3 and figure 1 .
[0083] table 3
[0084]
[0085]
[0086]It can be seen that the sensitivity of these 52 marker genes is between 59.3% and 97.7%, among which there are 31 marker genes with a sensitivity above 90%, namely: ADAMTS1, ARHGAP20, BEND5, BVES, DMRT1, DPY19L2, FAM19A5, FAM184B , FBXL21, GDF6, GLB1L3, GRIN2A, INA, KCNA1, LAYN, NPTX1, PXDN, RELN, SLC35F1, SNAP91, SPG20, STK32B, TMEM130, TMEM132E, TRHDE, TRPC6, UNC5C, VWC2, WT1, ZNF625 and ZNF804B, each marker gene The specificity of the genes was high, ranging from 93.3% to 100%, and ...
experiment example 2
[0088] Using the same sample as in Experimental Example 1, the method of Example 1 was used to diagnose colorectal cancer with the combination of two genes. The results are shown in Table 4 below.
[0089] Table 4
[0090]
[0091]
[0092] It can be seen that using the gene combinations in Table 2 for diagnosis, the sensitivity is above 90%, the specificity is 100%, and the AUC reaches 0.976.
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