Breast cancer marker and application thereof
A technology of breast cancer and markers, applied in the fields of genetic engineering and oncology
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Embodiment 1
[0021] Embodiment 1: through the data analysis of TCGA database, mine the relation of SGOL1 gene and breast cancer.
[0022] The Cancer Genome Atlas (TCGA) database contains multiple levels of data information for various tumor types, including: miRNA, mRNA, protein profile, mutation profile, clinical diagnosis information, etc. These data provide a wealth of data for tumor data analysis. Information mining around the TCGA database has improved people's scientific understanding of the molecular basis of tumor pathogenesis and at the same time improved our ability to diagnose, treat and prevent tumors. There are two important clinicopathological parameters in the clinical treatment of breast cancer, one is the TNM cancer classification standard, and the other is the breast cancer subtype classification. Therefore, we first use the TNM standard of clinical information and the breast cancer subtype classification to compare The cancer correlation of SGOL1 gene was analyzed.
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Embodiment 2
[0030] Embodiment 2: Through the data analysis of Oncomine database, mine the relationship between SGOL1 gene and breast cancer.
[0031]To date, Oncomine contains 65 gene expression datasets consisting of almost 48 million gene expression measurements, constituting more than 4700 microarray experiments. Compare differential expression analyzes of the most prominent cancer types and their respective normal tissues, as well as various cancer subtypes and clinical- and pathology-based analyses.
[0032] Through the online operation interface of the Oncomine database, the expression of the SGOL1 gene is screened in breast cancer samples, first choose to classify according to the name of the breast cancer, and draw the expression levels of the SGOL1 gene in different categories of breast cancer as follows: figure 2 As shown in A, the expression of SGOL1 gene of different grades of breast cancer is plotted as figure 2 Shown in B.
Embodiment 3
[0033] Example 3: Quantitative PCR detection of the expression of SGOL1 gene in different breast cancer cell lines.
[0034] The gene expression status of SGOL1 in cancer is reflected by 4 different cell lines, which are MCF10A, MCF7, MDA-MB-231, HCC1937, among which MCF10A is a cell line, which is a non-tumorogenic epithelial cell Strains represent normal samples, and the rest cell lines represent breast cancer cell lines.
[0035] First, total cellular RNA was extracted. Keep all operations and related reagents on ice. Use Trizol reagent to extract total RNA from cells, and the specific steps are as follows: Prepare to extract total RNA. Digest and lyse the cells directly with Trizol, add Trizol to a volume of 10cm 2 / ml. After the cells were added with Trizol, they were left at room temperature for 5 min to fully lyse. Use a high-speed refrigerated centrifuge to centrifuge at 12,000 rpm at 4°C for 5 minutes, and discard the precipitate. Add chloroform at 200ul chlorof...
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