Reagent for liver cancer diagnosis, kit, detection method and application
A kit and liver cancer technology, applied in the field of molecular biology, to achieve the effect of convenient material collection, good stability and low cost
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[0040] As a more preferred embodiment of the present invention, the method includes the following steps:
[0041] (1) Extract and purify genomic DNA from clinical samples;
[0042] (2) using chemical treatment or enzymatic treatment of the genomic DNA to distinguish methylated cytosine from unmethylated cytosine;
[0043] (3) amplifying the region containing methylated cytosine in the NEBL gene, FAM55C gene, GALNT3 gene and DSE gene of the genomic DNA by PCR;
[0044] (4) Determining the content of liver cancer-specific methylated cytosine in regions containing CpG sequences in the NEBL gene, FAM55C gene, GALNT3 gene, and DSE gene in the genomic DNA.
[0045] Wherein the content of liver cancer-specific methylated cytosine in the NEBL gene, FAM55C gene, GALNT3 gene, and DSE gene in the clinical sample is the following judgment indications of the clinical sample: suffering from liver cancer; increased risk of liver cancer; recurrence of liver cancer risk.
[0046] In some mo...
Embodiment 1
[0059] 1. Screening of liver cancer-specific cytosine methylation regions in NEBL gene, FAM55C gene, GALNT3 gene and DSE gene
[0060] The screening method is as follows:
[0061] (a) Download the methylation microarray data of TCGA hepatocellular carcinoma, including the methylation profiles of 375 liver cancer tissues and 50 paracancerous tissues. Download the RNA sequencing data of TCGA hepatocellular carcinoma, including gene expression profiles of 369 liver cancer tissues and 50 paracancerous tissues. Download the methylation array data GSE69270 from GEO, including the methylation profiles of 184 non-tumor patients' blood. Download methylation microarray data of other tumor types (BLAC, BRCA, COAD, GBM, HNSC, KIRC, LUAD, LUSC, READ and UCEC) from TCGA.
[0062] (b) Analyze the methylation profile of 50 cancer-adjacent cancer pairings, compare the methylation levels of each site in cancer and para-cancer by paired test, and convert the P value into FDR value by multiple ...
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